Atmospheric Corrosion Control for Exposed Bridge Structures   – A Case Study of Tamar Bridge, UK

Atmospheric Corrosion Control for Exposed Bridge Structures – A Case Study of Tamar Bridge, UK

Kevin Harold is a Director at Paintel Ltd. He is a Level 3 ICorr Painting Inspector and Technical Director of Paintel Ltd. and has been involved with painting and coatings for nearly 50 years. Kevin is the retiring Correx Managing Director and also a Correx (Institute of Corrosion) ICATS trainer. During 2025, Paintel was awarded a new Painting / Inspection / Maintenance contract to refurbish and maintain the important Tamar Bridge crossing, running for the next 10 years. The company has maintained the structure since 1999.

Thomas Harold is employed as the Paintel Contracts Manager and is also a Director of Paintel Ltd. He is IPAF & IRATA qualified and an ICorr Level 2 Painting Inspector and ICATS approved Industrial Painting Supervisor with more than 15 years’ experience of applying protective coatings.

Introduction

This article is about the environmental effects and maintenance painting required for ‘Atmospheric Corrosion Control’ on exposed bridge structures and, in particular, the Tamar Bridge linking Devon and Cornwall on the A38 trunk road.

Spanning the River Tamar by the side of Brunel’s famous Saltash railway bridge, the new Tamar Road bridge provided an important new link by road between the City of Plymouth and the county of Cornwall. It was opened in October 1961; it has a total suspended length of around 335 meters plus two side spans and a water-level clearance of between 32 and 35 meters. All in all, a weighty corrosion problem.

Photo: Overview of the Tamar Bridge With Cheery Picker Painting Maintenance Ongoing.

The structure carries around 50,000 vehicles per day in each direction. and is located in a fairly aggressive marine environment, towering over the river Tamar as it flows further into Cornwall in one direction and towards Devonport Dockyard in the other. The bridge has been in continual service since opening, even when it had two cantilevers added and coated during 1999-2000, under the supervision of Paintel.

Corrosivity of Bridge Environment

Its corrosivity classification in accordance with ISO 12944 (the accepted standard that sets out rules for the protection of assets from corrosion by use of coating systems and paint, originally released in 1998) probably ranges between a C4 and C5 (high to very high), plus the effects of the driving Southwest rain and winds, keeping it wet/damp for long periods, and also depending on the geography of the structure, causing corrosion deposits to build up.

The Tamar Bridge’s unique location over the tidal River Tamar and exposure to marine elements means site-specific monitoring and protection are critical for its structural integrity. Engineers conduct routine inspections normally every four months and use advanced techniques including test gauges to measure the depth of corrosion on main cable ropes, to monitor the progression of corrosion.

Challenges and Costs

The bridge’s annual maintenance cost is approximately £2 million, with significant, multi-million-pound projects funded by tolls to specifically address issues like corrosion and deck resurfacing.

As with many similar suspension type bridges, preparation and re-painting of the Tamar Bridge is not without its challenges. When you drive over any bridge you tend to only notice everything at ground/deck level, occasionally you might glance up to the towers and think my goodness that’s high or how on earth do you access that?

Working on tower tops or beams roadside of course involves significant challenges, as does painting beneath the deck level, and that is the case for all types of bridge structures really.

Photo: Distance Harness Assisted Solvent Wash Under Deck.

The steel arrangement beneath deck levels can appear to be very complex and once again your thoughts turn to how would you go about accessing what you might think is particularly inaccessible. Each area not only comes with access challenges but also must address the type and classification of corrosion at any location and how fast it may be progressing, particularly with structurally important fixings and smaller detail areas where corrosion is simply not acceptable.

Maintenance Painting Process and Access

Of course, it would very helpful if you could scaffold a bridge or structure every time maintenance was required or there was a permanent one in place (designed-in), but this can be expensive and time consuming and a quicker fix is often what’s required, providing of course, the quicker fix is acceptable and safe to all.

Access options at the Tamar Bridge do include scaffolds, but only when other methods are considered too dangerous or the works required will be of long duration. The Tamar Bridge has 4 gantries, two main deck and two cantilever gantries; these give access to many locations, but not directly underneath the deck and some other important areas.

Paintel has a MEWP (Mobile Elevating Working Platform)-trained team as well as a RAT (rope access trained) team using rope access methods for preparing, painting, repairing or cleaning surfaces. All these techniques allow us to paint areas that might appear at first to be inaccessible.        

Photo: MEWP (Mobile Elevating Working Platform).

Selective Corrosion Repair Sites

You would have heard people say, “It’s like painting the Forth Bridge; I suppose you start at one end and work towards the other and then start again,” but this couldn’t be further from the truth.  Corrosion is very selective, and the geography and geometry of a structure play a huge part in corrosion risk and corrosion rates, as well as the conditions each part is exposed to. Then add in some contamination, and different types appear: general, pitting, crevice and galvanic, to mention a few.

Corrosion first needs a base metal, steel most commonly, an electrolyte, water, or other, and of course oxygen to corrode/ oxidise any steel. Corrosion areas and rates vary considerably across the structure according to geometry and degree of exposure.

Photo: Bridge Hangar Painting.

Geography and Geometry

High sections (pier/tower tops) are prone to additional exposure, high and low temperatures, intense UV light, continuous wetting and drying, and North, South, East or West perspectives. Of which South dries the most, North dries the least, West is wetter, and East will be cooler; all of these conditions affect corrosion rates.

Many of these areas are accessed by ‘rope access’ methods, as many of the team are IRATA (Industrial Rope Access Trade Association) trained, with a level 3 RAT Team Lead.

Photo: Metal Coating Using A Trug.

RAT work necessitates:

  • A Head for Heights
  • Exposure to extremes of Climate
  • High levels of Fitness

The compensation for operatives is some of the best views a person can have.

Deck/Road Level – Traffic Issues

Exposed, but not the same exposure as the tops of the towers. Higher and lower temperatures. Temperatures can be higher at this level due to radiated heat from the road surface, lower windage and other protection from parapets/tower bottoms and cabins/storage areas. UV intensity remains high, and many surfaces remain wet for long periods due to drainage design with water weepage long after rain has stopped. Contaminated surfaces from traffic activity and the effects of north, south, east or west winds, perspectives all contributing additional corrosion effects.

Temperatures can be lower due to more standing water and ice during the winter and additional shading from piers and storage containers. Surfaces are also wetted and dried continuously with the additional consideration of contaminants.

Pollution from passing vehicles, salt from salt spreaders during winter months, and sludges created by dirt and wet from vehicles that do not dry all add to ongoing corrosion rates and challenges.

Below Deck

These areas are often the most prolific in terms of workload. Much more structural steel is being affected by microclimates. Other factors that influence corrosion rates include being closer to the water/river, rain run-off (from the deck), salt contamination from road salting and bird contamination. Little or no direct sunlight and non-drying of surfaces, sludges and slurry build-up accelerate corrosion rates enormously.

Photo: RAT Based Pressure Cleaning Activities.

Preparation and Painting Specifications

Because of the environmental difficulties associated with blasting, set-up, noise, encapsulation, danger, dust, time factor, clean-up, and spillage, all the preparation prior to painting is done by mechanical preparation standards. This is therefore normally done using small tools like needle guns, grinders, sanders, scrapers, etc., but not before precleaning with degreaser to remove most of the dirt and grease. All surfaces are then prepared to an ISO 8501-1 ‘very thorough’ surface preparation. Once an area of preparation is complete and re-cleaned, it is then inspected for quality control for acceptance. After acceptance, all areas receive a multi-coat paint system of:

The final dry film thickness (DFT) is in excess of 300 microns throughout (higher at spot primed locations).

The paint system being utilised can change depending on prevailing corrosion classification to include additional build with MIO, micaceous iron oxide. The bridge is subjected to a maximum of 6 monthly inspections, sometimes more frequent depending on the site zone, and these inspections flag up the more corroded affected areas, and they become priority work packages. Paint is most usually applied by brush and roller. This avoids problems associated with potential overspray and sheeting issues.

Photo: Incline Cable Painting.

Paint Lifetime Expectancy

In the coating business we often discuss and compare lifetime expectations of different types of preparation and painting techniques. Although many would argue that there is nothing better than blasting prior to painting with all the rules in place, as experienced coating applicators, we have proven ‘year on year’ that if you do thoroughly clean surfaces, prepare to the correct standard and paint to the specification, then this work will also last a very long time, often 10 years plus. Our extensive work on the Tamar Bridge has proved this conclusively.

References

BS EN ISO 12944 (2019) – Multi-part Document –  Corrosion protection of steel structures by protective paint systems.

Bridging The Tamar Visitor Centre | Tamar https://www.tamarcrossings.org.uk

‘Daredevil decorators’ protecting Tamar Bridge from corrosion – BBC https://www.bbc.co.uk

Structural health monitoring of the Tamar suspension bridge | Request https://www.researchgate.net

Tamar Bridge | VolkerLaser. https://www.volkerlaser.co.uk

 

 

 

Case Study – Investigating the Dynamics of Atmospheric Corrosion and the Impact of Climate Change in Mauritius

Meet The Author

Dr Yashwantraj Seechurn is a senior lecturer in the Department of Mechanical and Production Engineering at the University of Mauritius. He teaches asset management at postgraduate level, and his main research interests include atmospheric corrosion, marine corrosion, materials chemistry, coatings, and surface engineering. He has presented at various international conferences and has many publications in international peer-reviewed journals. In 2019, he received a Commonwealth split-site PhD award for research in corrosion engineering at the University of Southampton. Yashwantraj is now actively involved in corrosion research as a principal investigator, striving towards achieving better corrosion prediction techniques and prevention strategies. He employs both field and accelerated lab-based corrosion testing, followed by advanced characterisation and modelling in his working approach. One of his most notable achievements is the development of the first corrosion map for Mauritius. He is also the chairperson of the Mechanical Engineering Standards Committee of the Mauritius Standards Bureau.

Introduction

Mauritius has a tropical climate with only two seasons: summer, which is hot and humid, and winter, which is colder and drier. In the absence of spring and autumn seasons, transition months indicate when the seasons shift. January and February are usually the most humid and the warmest, with the average daily high temperature reaching 29.2°C (Mauritius Meteorological Services, 2026). Furthermore, the later summer months (February and March) are the wettest. However, rainfall varies significantly across the island; the central plateau receives the majority of the island’s rainfall, while the sheltered west coast receives far less.

Within Mauritius, climate change adds a layer of urgency to managing atmospheric corrosion. Changes in pluvial precipitation patterns and wind regimes are expected to affect pollutant deposition and thus influence corrosion in coastal and industrial areas (Valdez et al., 2016). For instance, stronger winds can increase the inland reach of marine aerosols and industrial plumes, exposing new regions to higher chloride (Cl-) and sulphur dioxide (SO2) deposition (Alcantara et al., 2017; Tasic et al., 2013). Similarly, shifts in rainfall intensity and frequency could lead to changes in atmospheric corrosion rate (Alcántara et al., 2017). Wind speed and direction dictate the distance pollutants travel and their concentration at a given location. The effect is highly dependent on the direction of the wind relative to the pollutant source and the exposure site location (Santucci, Davis and Sanders, 2022; Daneshian et al., 2023). Also, increased wind speeds (> 3 – 5 m s-1) enhance wave breaking and turbulence, accelerating marine aerosol production (Alcantara et al., 2017; Madawala et al., 2024). However, higher wind speeds can also dilute SO2 concentrations depending on the wind direction. Several studies have noted that higher wind speeds are generally correlated with lower SO2 concentrations due to atmospheric dilution and mixing (Tasic et al., 2013). This effect was seen in urban-industrial environments. However, pollutant deposition may still increase if the monitoring site is located directly downwind of emission plumes (Tasic et al., 2013).

Rainfall also plays an important role in the atmospheric deposition of both SO2 and Cl-. In general, low to moderate rainfall increases the surface moisture, which acts as an electrolyte, facilitating the dissolution of pollutants on exposed metal surfaces (Alcántara et al., 2017). For instance, rain promotes the formation of sulfurous and sulfuric acids by absorbing SO2 from the atmosphere, thus accelerating corrosion. Similarly, Cl- in marine aerosols is more readily deposited during precipitation, leading to sustained surface conductivity (Alcántara et al., 2017). However, heavy rain (more than 600 mm) efficiently removes deposited pollutants from exposed surfaces, exerting a cleansing effect (Vera et al., 2018). The overall influence of rain on pollutant deposition rate also depends on its frequency. Intense and frequent rainfall can reduce surface corrosion by continuously washing off deposits (Gobinddass et al., 2020; Zhao & Li, 2013).

Relative humidity (RH) and temperature (T) are two of the most influential climatic parameters affecting pollutant deposition rate, and consequently corrosion rate (Michel, Nygaard and Geiker, 2013; Cai et al., 2020). An electrolyte film is formed on a metal surface when RH reaches the critical relative humidity (CRH) threshold, which subsequently triggers corrosion. High RH facilitates the dissolution of SO into atmospheric moisture and on surfaces (Cai et al., 2018, 2020). Similarly, Cl- deliquesces and adheres more readily to surfaces at RH > 75%, leading to a higher deposition rate. RH is dependent on T, which influences the evaporation and condensation of water vapor (Michel, Nygaard and Geiker, 2013). The period during which the water film is present on a metal surface is indicated by the Time-of-Wetness (TOW) (Hoseinpoor, Prošek, and Mallégol, 2025). Rainfall, dew and melting snow are some factors contributing to the formation of water films on metal surfaces (ISO 9223, 2012). TOW integrates the effect of RH and T. It is measured as the number of hours RH > 80% and T > 0°C in a year (ISO 9223, 2012). Higher TOW values indicate longer periods of water film presence, increasing the rate and severity of the corrosion process (Cai et al.,2020; Hoseinpoor, Prošek, and Mallégol, 2025). Temperature fluctuations affect RH, thus increasing the frequency of wet/dry cycles. High temperatures also accelerate the chemical reactions. A temperature increase of two units is likely to increase the corrosion rate by approximately 15% (Cai et al., 2018).

This study, specific to Mauritius, provides an insight into the time effects of changes in climatic factors on atmospheric corrosion by performing field exposure of metal samples and comparing the corrosion kinetics with those obtained about a decade ago.

Materials and Methods

Carbon steel plates of size 150 mm × 100 mm × 3 mm were exposed in two different service environments in Mauritius (Figure 1): Port-Louis – PL (marine-industrial) and Medine Camp de Masque – MC (rural).  All samples were mounted at 45° to the horizontal as per ISO 8565 (2011) (Figure 2). Figure 1 also shows sites SJ and PL (previous), where field exposures of carbon steel specimens were performed over a decade ago (Surnam & Oleti, 2012). MC lies 2.4 km from SJ (also rural), while the site in PL is just 1.1 km away from the previous one.  Given the proximity, MC and PL (current) have the same environmental characteristics as SJ and PL (previous), respectively. To determine the effect of the environment on corrosion kinetics, the deposition rates of SO2 and Cl- were measured using the Huey lead dioxide plate and wet candle methods, respectively, according to ISO 9225 (2012). Furthermore, the TOW was estimated from daily RH variations obtained from the Mauritius Meteorological Services.

Figure 1: Map of Mauritius Showing Test Sites (Previous and Current).

Figure 2: Exposure Racks at Medine Camp de Masque – MC (Left) and Port-Louis – PL (Right).

 Following exposure, triplicate samples were retrieved at two-, five-, eight-, 11-, 14- and 24-month time points. The corrosion products were removed with the samples immersed in a solution of 50% wt./ vol. HCl and 3.5 g/L hexamethylenetetramine according to ISO 8407 (2014). The mass loss was measured using a Kern PNS 600-3 precision balance, with an accuracy of ± 0.001 g. Corrosion rate was then calculated over the first year of exposure using:

where is the corrosion rate in g m−2 y−1,m is the mass loss in g, A is the surface area in m2, t is the exposure time in years (y).  A Zeiss Merlin scanning electron microscope (SEM) was used to determine the morphology of corrosion products on the surface of a 1 cm x 1 cm internal portion cut from the sample.

Results and Discussion

Table 1 lists the Cl–/SO2 deposition, the estimated TOW, and the corrosion rate at each site. The ISO 9223 (2012) classifications, including those of the previous sites, are given in Table 2. The corrosion rate for MC and PL (current) was found to be in the C3 (medium) and C2 (low) categories, respectively, while both SJ and PL (previous) were assigned corrosivity category C4 (Surnam & Oleti, 2012). Over more than a decade, there has been a significant decrease in corrosivity from C4 to C2 in PL and from C4 to C3 in the rural environment. This can be associated with a reduction of S02 deposition (P1 to P0) in PL and a decrease in TOW (T5 to T4) for SJ/MC.

Table 1. Pollution, Climatic and Corrosion Data Measured at MC and PL (Current).

 

MC

 

PL (current)

Cl / mg m-2 d-1

SO2 /

mg m-2 d-1

TOW /

hour

CR /

g m−2 y−1

Cl / mg m-2 d-1

SO2 /

mg m-2 d-1

TOW /

hour

CR /

g m−2 y−1

 

71.5

 

1.17

 

3300

 

207.7

 

11.4

 

1.16

 

1800

 

109.1

Table 2. Comparison of Environmental and Corrosivity Classification.

SJ MC PL (previous) PL (current)
Cl SO2 TOW CR Cl SO2 TOW CR Cl SO2 TOW CR Cl SO2 TOW CR
S0 P0 T5 C4 S1 P0 T4 C3 S1 P1 T3 C4 S1 P0 T3 C2

Emissions of SO2 have continued to rise over the years, driven by current growing energy demand on the island, mainly met by the combustion of heavy fuel oil. Furthermore, the presence of oil-fired power stations in PL implies significant SO2 concentration in the atmosphere. Wind in PL generally blows towards the west/northwest (Figure 3), i.e., from land to sea. The exposed specimens face the sea but on the downwind side, which explains the low deposition of SO2 and Cl-. However, climate change manifests as changes in the frequency and intensity of cyclones (World Bank Group, 2025), which disrupt normal wind patterns. Changes in wind directions are known to induce seasonal variations in chloride concentrations, which are more consequent during periods of strong winds (Gobinddass et al., 2020). High wind speeds also tend to coincide with rainfall, adding to the washing effect (Daneshian et al., 2023). Thus, the Cl-/SO2 environmental classification may vary periodically. Nevertheless, the gradual shift to renewable energy sources will eventually lead to SO2 being less of a concern to atmospheric corrosion.

Figure 3: Wind Rose Showing the Orientation (Blowing to) and the Speed (in km h-1) for Port Louis (PL).

The plot of mass loss vs time for MC (Figure 4) shows a rise in corrosion rate following stabilisation around the first year of exposure. Corrosion kinetics at SJ show a similar trend during this time period (Surnam, 2015), except that the mass loss is lower for MC. SEM imaging of the 11-month exposed surface at MC shows a mixture of lepidocrocite (-FeOOH) and goethite (-FeOOH) rust phases (Figure 5), a characteristic ofregions with longer TOW (Thandar et al., 2022). MC/ SJ is an inland rural area, and TOW is the most likely factor influencing the corrosion rate, as observed with a shift in TOW from category T5 to T4 over the years. In general, Mauritius experienced a higher precipitation from 1990 to 2020, with an average annual increase of 8.6% (World Bank Group, 2025). This could have been effective in washing off deposited pollutants and thus contributed to the decrease in corrosion rate.

Figure 4. Mass Loss vs. Time for Carbon Steel Exposed at Medine Camp de Masque (MC).

 

Figure 5. SEM Image of the 11-Month Exposed Surface at Medine Camp de Masque (MC) Showing Bird Nest (-FeOOH) and Whiskers (-FeOOH) Formations.

 Conclusions

Construction in high-corrosivity areas, such as marine or industrial zones, requires careful consideration with regard to materials selection and applied preventative measures, due to the increased corrosion risks to structural integrity and public safety. A range of international standards and regulatory policies exist to ensure the durability, safety, and longevity of infrastructures and these should be utilised. However, future climate variability will influence the dynamics of atmospheric corrosion, thus the need for renewed corrosion management strategies. This study has shown that it is essential to consider climatic parameters in atmospheric corrosivity classification, which not only account for present environmental aggressiveness but also for likely climate-driven variations in SO2/Cl- deposition.

Together with rainfall and wind patterns, time of wetness is likely to change, thus altering the corrosivity classifications.

References

  1. J Alcántara et , (2017) “Marine atmospheric corrosion of carbon steel: A Review,” Materials, 10(4), p. 406. https://doi.org/10.3390/ma10040406.
  2. Y Cai et , (2018) “Influence of environmental factors on atmospheric corrosion in dynamic environment,” Corrosion Science, 137, pp. 163–175. https://doi.org/10.1016/j.corsci.2018.03.042.
  3. Y Cai et (2020) “Atmospheric corrosion prediction: A review,” Corrosion Reviews, 38(4), pp. 299–321. https://doi.org/10.1515/corrrev-2019-0100.
  4. B et al. (2023) “Effect of climatic parameters on marine atmospheric corrosion: correlation analysis of on-site sensors data,” npj Materials Degradation, 7(1), p. 10. https://doi.org/10.1038/s41529-023-00329-6.
  5. M L Gobinddass et al., (2020) “Coastal sea salt chlorine deposition linked to intertropical convergence zone (ITCZ) oscillation in french guiana” Journal of the Atmospheric Sciences, 77(5), pp. 1723–1731. https://doi.org/10.1175/JAS-D-19-0032.1.
  6. M Hoseinpoor et , (2025) “Comprehensive assessment of time of wetness on coil-coated steel sheets,” Corrosion Science, 244, p. 112641. https://doi.org/10.1016/j.corsci.2024.112641.
  7. ISO 8565 (2011) Metals and alloys Atmospheric corrosion testing— General requirements.
  8. ISO 8407 (2014) Standards Publication Corrosion of metals and alloys- Corrosivity of atmospheres – Removal of corrosion products from corrosion test specimens.
  9. ISO 9223 (2012) Standards Publication Corrosion of metals and alloys- Corrosivity of atmospheres – Classification, determination and
  10. ISO 9225 (2012) Corrosion of metals and alloys — Corrosivity of atmospheres — Measurement of environmental parameters, BSI Standards Pubilication. BSI Standards Limited.
  11. A Michel, et al., (2013) “Experimental investigation on the short-term impact of temperature and moisture on reinforcement corrosion,” Corrosion Science, 72, pp. 26–34. https://doi.org/10.1016/j.corsci.2013.02.006.
  12. R J Santucci et al., (2022) “Atmospheric corrosion severity and the precision of salt deposition measurements made by the wet candle method,” Corrosion Engineering, Science and Technology, 57(2), pp. 147–158. https://doi.org/10.1080/147842 2X.2021.2005227.
  13. B Y R Surnam, and C V Oleti (2012) ‘Atmospheric corrosion in Mauritius’, Corrosion Engineering Science and Technology, 47(6), 446–455. https://doi.org/10.1179/1743278212Y.0000000026.
  14. B Y R Surnam (2015) ‘Three years outdoor exposure of low carbon steel in Mauritius’, Anti-Corrosion Methods and Materials, 62(4), 246–252. https://doi.org/10.1108/ACMM-12-2013-1328.
  15. V Tasić, et al.,, Kovačević, R. and Milošević, N. (2013) “Investigating the Impacts of Winds on SO2 Concentrations in Bor, Serbia,” Journal of Sustainable Development of Energy, Water and Environment Systems, 1(2), pp. 141–151. https://doi.org/10.13044/j.sdewes.2013.01.0010.shie
  16. W Thandar et al. (2022) “Investigation of Initial Atmospheric Corrosion of Carbon and Weathering Steels Exposed to Urban Atmospheres in Myanmar,” International Journal of Corrosion, https://doi.org/10.1155/2022/4301767.
  17. B Valdez et al., (2016). “Corrosion assessment of infrastructure assets in coastal seas”. Journal of Marine Engineering & Technology, 15(3), 124–134. https://doi.org/10.1080/20464177.2016.1247635
  18. R Vera et al. (2018) “Tropical/non-tropical marine environments impact on the behaviour of carbon steel and galvanised steel,” Materials and Corrosion, 69(5), pp. 614–625. https://doi.org/10.1002/maco.201709873.
  19. World Bank Group (2025). Climate risk country profile: pp.1–21.
  20. H Zhao and X Li, (2013) “Understanding the relationship between heavy metals in road- deposited sediments and washoff particles in urban stormwater using simulated rainfall,” Journal of Hazardous Materials, 246–247, pp. 267–276. https://doi.org/10.1016/j.jhazmat.2012.12.035.
  21. Mauritius Meteorological Services (2026) Meteorological Observations and Climatological Summaries. http://metservice.intnet.mu/publication.php.
Establishing Atmospheric Corrosion Test Sites in Alaska for Monitoring and Assessing Cold-Climate Infrastructure Degradation

Establishing Atmospheric Corrosion Test Sites in Alaska for Monitoring and Assessing Cold-Climate Infrastructure Degradation

Meet the Author

Dr Raghu Srinivasan is an Associate Professor and Chair of the Mechanical Engineering Department and Director of the Environmental Degradation Laboratory (EDL) at the University of Alaska Anchorage (UAA). He received his MS and PhD degrees in mechanical engineering at the University of Hawaii at Manoa in 2005 and 2010, respectively. Dr Srinivasan’s research focuses on atmospheric and marine corrosion, materials compatibility, and corrosion in oil and gas infrastructure, with a strong emphasis on Arctic and sub-Arctic environments. He currently serves as the Chair of the Research Society Leadership Council (RSLC, 2025–2027) and served as Vice-Chair of the Research Programme Committee (RPC, 2023–2025) for the Association for Materials Protection and Performance (AMPP). He has been recognised with multiple awards: UAA’s Chancellor Award for Research, the NACE Foundation Book Scholarship Award, the Harvey Herro Best Poster Award, the Materials Performance Corrosion Innovation of the Year Awards (2019 and 2023), and the NACE International Research Seed Grant (2019).

Introduction

Atmospheric corrosion is a complex process, which involves chemical, electrochemical, and physical changes to the metal exposed. Atmospheric corrosion occurs when a metal surface is under a thin layer of moisture, but not completely immersed, and the metal surface corrodes while exposed to environmental factors. The atmospheric corrosion damage in cold environments is close to the main human activity, which is concentrated near the coastal areas.

The substantial human growth and climate change in the Arctic and sub-Arctic region push for a renewed, better understanding of the atmospheric corrosion mechanisms that can lead to a good choice of materials selection and better design practices for infrastructure and other applications. This article describes the development of multi-angle corrosion test racks that were deployed at four test sites across Alaska, each distinct in their environment and equipped with weather sensors and chloride candles.

Atmospheric Corrosion in Cold Climates

The Arctic and sub-Arctic region identified by the U.S. Army Cold Regions Research and Engineering Laboratory (CRREL) [1] has an average temperature of -18°C or less during winter. The most common assumption is that there is very little to no corrosion in cold environments [2]. However, previous studies in the Antarctic and Arctic regions have disproved that notion, finding that corrosion rates are substantial [3-5]. The atmospheric corrosion damage in cold environments is close to the main human activity, which is concentrated near the coastal areas. Previous studies in the sub-arctic region of Canada, Norway, and Russia show extensive atmospheric corrosion rates (when compared to Antarctica) due to human developments and the resulting increase in mining and metallurgical industries [2]. Experimental and theoretical work has shown that the electrochemical process proceeds at temperatures as low as -25°C to -20°C [6-7].

Sereda measured the potential between platinum and zinc electrodes at -20°C, concluding that when an electrolyte is present, corrosion will proceed [6]. Moreover, very little corrosion data is available for metal alloys exposed to cold conditions. Studies by Divine and Perrigo [5] in Anchorage, Alaska; Biefer [8] in the

Canadian Arctic and sub-Arctic sites; Kucera et al. [9] in Scandinavia; and Mikhailov et al. [10] in eastern Siberia have shown corrosion rates of carbon steel close to the C1 category of the ISO 9223 classification (Table 1).

Table 1: One-Year Corrosion Rates and Corrosion Categories.

 

Even though the corrosion rates are lower than the C1 category, the substantial human growth and climate change in the Arctic and sub-Arctic region push that envelope. Because of this, there is a case to add a cold climate category to the classification. Factors that drive the atmospheric corrosion in cold climates are winds that can bring in salt-laden snow from the marine environment, and the use of de-icing salts can also contribute to high levels of chlorides [2]. The eutectic point, or the freezing point, of de-icing salts can be lowered to -50°C, melting the ice/snow layer on top of metal samples [7]. This phenomenon keeps metal samples moist for much longer periods, thus increasing the time of wetting (TOW).

In the presence of chlorides and moisture, extensive atmospheric corrosion damage can be observed on metal samples. Another contributing factor to high corrosion rates is low rainfall, which in turn cannot periodically wash off the deposited chlorides and SO2 on top of the samples [2]. In addition, ever-increasing ambient temperatures due to climate change in recent years affect the snow presence on top of the metal samples [11]. The temperature of the samples is not too high to evaporate the deposited snow/ice but high enough to cause melting and sustain moisture for longer periods of time. This leads to the formation of varying thicknesses of wet ice/snow layers on the metal surface. Long hours of sunlight in the summer also increase the surface temperature of metal samples beyond the ambient temperatures, causing dew formation and condensation, which in turn results in higher TOW.

Multi-Angle Test Rack Design

The design and methodology of atmospheric corrosion test racks have been guided by several pivotal standards over the years.

Prominently, the ASTM standard G50: “Standard Practice for Conducting Atmospheric Corrosion Tests on Metals,” and more particularly subsection five concerning exposure racks and frames, has served as an instrumental reference point for this research herein [12]. Similarly, ISO 8565, “Metals and alloys—Atmospheric corrosion testing—General requirements for field tests,” was another crucial standard consulted during the design process [13]. Over time, atmospheric corrosion test racks have seen iterative developments to address specific research requirements. Notable research endeavors that have trod a similar path include studies conducted in diverse geographies.These studies offer a comparative perspective and serve as benchmarks for the current investigation. A seminal study from 1995 introduced an atmospheric test rack design that facilitated specimen exposure across various orientations and angles [14].

Subsequently, a research team from the University of Hawaii devised the “Compact Octagonal-Prism Portable Exposure Rack” (COP-PER) to specifically assess the impact of wind direction and specimen orientation on corrosion rates [15]. Additionally, collaborative efforts from Spain and Portugal resulted in the development of a tree-shaped rack, designed to concurrently evaluate specimen orientation and exposure angle in atmospheric corrosion studies [16].

Traditional test racks used for atmospheric corrosion monitoring are often inadequate for Arctic deployment. They cannot withstand snow loads, high winds, or severe temperature swings. To address this, a modular and adjustable atmospheric corrosion test rack was designed, later patented in the United States as US 11,499,909 B2. The rack design includes adjustable exposure angles (0°, 30°, 45°), a modular aluminum frame, integrated sensors, and corrosion-resistant construction (Figure 1).

Figure 1: Adjustable Multi-Angle Corrosion Test Rack.

Atmospheric corrosion standards recommend an exposure angle of 30 degrees from the horizontal, facing south, and the lowest specimens be at least 30 inches above the ground. Time of wetness is one of the main parameters for atmospheric corrosion testing and can vary drastically depending on the angle of the exposed surface. This modular and adjustable corrosion test rack allows us to change the direction of exposure (north, south, east, or west) and the angle of exposure (0, 30, or 45 degrees to horizontal). These changes can be made easily and will save time when future adjustments are required for different exposure angles and directions. Lastly, this design can support a full weather monitoring system (Figure 2). These parameters include, but are not limited to, relative humidity (RH), ambient air temperature, TOW, rainfall, wind velocity, UV radiation, barometric pressure, and aerosol chloride and sulfate deposition.

Figure 2: Multi-Angle Corrosion Rack with Auxiliary Weather Station.

Establishing Test Sites

Four strategic locations were selected as preliminary testing sites, with site selection and characterization heavily influenced by ASTM G92 “Standard Practice for Characterisation of Atmospheric Test Sites” [17]. Their positions can be referenced in Figure 3, which provides a map of Alaska.

Figure 3: Map of Alaska Showing Four Corrosion Monitoring Sites.

Kodiak, AK – Pacific Spaceport Complex (PSCA) – Aggressive Marine Environment

Kodiak, AK, represents the aggressive marine environments commonly found along the southern and southeastern coastlines of Alaska. Coastal cities, such as Kodiak, receive on average a steady coastal breeze averaging 9 knots (4.6 m/s), average yearly precipitation of 65 inches (1651 mm), and average ambient temperatures of 41°F (5°C). This creates an aggressively corrosive

environment with relatively steady electrolyte exposure from rainfall and high relative humidity levels, as well as steady prevailing winds that provide high deposition rates of aerosol-borne Cl.

During the summer months, Kodiak experiences a maximum daily sunlight period of approximately 16 hours at the summer solstice and a minimum of 6.5 hours at the winter solstice. Both the summer and winter solstice are indicative of the maximum and minimum number of sunlight hours, respectively. This provides for periods of consistent solar irradiance exposure, which are maximized during the summers in Alaska. The exact exposure site is located in close proximity to the Pacific Spaceport Complex on Kodiak Island. Using pre-existing structures places the exposure rack ~5-6 feet elevated from the ground level and ~600 feet from the open ocean water.

Anchorage, AK – University of Alaska Anchorage (UAA) – Mild Marine Environment

Of the two exposure sites operated in Anchorage, AK, one resides at the University of Alaska Anchorage (UAA) and represents a very mild marine environment. Positioned 25 miles farther north than Kodiak, this site presents colder average temperatures and lower average precipitation rates comparatively. The average ambient temperature in Anchorage is 39°F (3.9°C) with an average precipitation of 16.9 in (430 mm). Both Anchorage sites typically exhibit lower average levels of relative humidity and receive lower Cl- deposition rates than those of Kodiak, but still experience these coastal effects, being only slightly offset from the shoreline.Anchorage sites receive longer periods of daily sunlight exposure, reaching upwards of 18.5 hours at the summer solstice and lowering to 5.5 hours at the winter solstice. This again provides generous solar irradiance exposure that is maximized during the summer months. At UAA, the particular exposure site is positioned on a building roof and is therefore elevated above the ground floor by ~30-45 feet. The site is also positioned much farther from the shoreline of the neighboring head of both the Knik and Turnagain Arm by ~4 miles. Where Kodiak is positioned far from any industrial or urban environment, UAA is positioned only a couple of miles from the downtown center. UAA is therefore more apt to be influenced by associated factors with urban areas, such as vehicle emissions and combustion byproducts, among others.

Anchorage, AK – Port of Alaska (POA) – Moderate Marine Environment/Mild Industrial Environment

The second of the two exposure sites, which operates in Anchorage, AK, resides at the Port of Alaska (POA, or “The Port”) and represents two environmental types with varying positions. Being situated similarly to the UAA site, all of the previous meteorological averages and data also apply to this site. The Port of Alaska handles the majority of fuel and freight cargo in Alaska, and it is an understatement that it is the lifeline of the Alaskan people. Its proximity to the ocean and constant truck movements make the Port of Alaska a strategic location to collect atmospheric corrosion data. In summary, upon inspection, the site presents a less corrosive environment than Kodiak does, with ample summer time solar irradiance exposure.

Fairbanks, AK – University of Alaska Fairbanks (UAF) – Inland Urban Environment

The last site is operated in Fairbanks, AK, at the University of Alaska Fairbanks (UAF), which best represents an inland urban environment. The summers are warmer than both Anchorage and Kodiak, with an average temperature of 60°F (15.6°C). However, the winters are much colder, with average winter temperatures of -4.3°F (-20°C). Average annual precipitation levels are the lowest of the four sites at 12.4 in (~315 mm). Fairbanks, being situated in a more northern location than Anchorage, receives exceptionally long periods of sunlight during the summer months, exceeding 21 hours at the summer solstice.

During winters, the inverse occurs with a mere 4 hours of sunlight at the winter solstice. This provides an incredibly large amount of solar irradiance exposure during the summer months relative to the other sites. Due to Alaska’s sheer size, Fairbanks lies approximately three hundred miles (~500 km) away from the nearest coastal area, which provides quite radical and unique weather challenges during the winter months. The particular site lies atop the Usibelli Engineering Building at approximately four stories, thus elevating the exposure rack ~60–72 feet above the ground floor.

While the exposure to airborne Cl- and SO4²- is expected to be considerably lower than at 28 Kodiak due to the relative positioning from open bodies of salt water, respectively, the UAF exposure site does typically experience an elevated exposure to airborne SO4²-. Interior Alaska is abundant in individual residential heating solutions for the winter months. The most common combustion sources include heating oil and wood. Both produce either primary or secondary SO4²- within the atmosphere, with primary SO4²- generally making up the most significant percentages. Fairbanks’ geographical characteristics are also highly conducive to frequent temperature inversions during winter. Temperature inversions most often cause cold air masses to settle beneath larger warm air masses. In effect, this traps any and all airborne contaminants within the lower-lying cold air masses. Trapped contaminants then have a longer period and a chance to deposit on the sample surfaces. Additionally, UAF also sits across the street from the University Power Plant. Table 2 gives a detailed layout of each test location and geographical coordinates.

Table 2: Test Sites’ Coordinates, Distance From Sea, and Elevation.

Some Notable Results and Trends

Figure 4 delineates the ambient air temperature at the PSCA site, which, during the winter months, dips below the freezing mark on several instances and occasionally falls beneath -5°C. Despite these sporadic plunges, the overall trend captured by the solid red line indicates that the ambient air temperature stays above 0°C throughout the entire year-long exposure period, with the mean average, illustrated by the dotted red line, stabilising around 6°C. The PSCA’s proximity to the Pacific Ocean, a mere 600 feet away, confers a stabilising effect on its air temperature, moderating the extremes that might otherwise be observed. The climatic profile of Fairbanks, Alaska, is characterised by its starkly contrasting temperatures, with intense cold in the winter and, unexpectedly, notable warmth in the summer. As depicted in Figure 5, the ambient air temperature at the UAF site plummets to a frigid -35°C in December 2022 and soars to 28°C by late June 2022.

Figure 4: Ambient Air Temperature at PSCA – Raw vs Averaged Data. Figure 5: Ambient Air Temperature at Fairbanks – Raw vs Averaged Data.

Table 3 shows the calculated chloride and sulfate deposition rates for each test site over each exposure. The PSCA site has four to seven times the amount of chlorides when compared to UAF and UAA, the PAA test sites. Figure 6 depicts the corrosion rates for 1008 carbon steel (UNS G10080) for a 12-month exposure period. The carbon steel samples at the PSCA site exhibited corrosion rates at least four times greater than the carbon steel samples exposed at UAF, PAA, and UAA.

This can be attributed to the weather data, where PSCA recorded at least four times the amount of chloride deposition, and the samples spent at least 18% more time wet through all sites and exposures. At the PSCA site, a distinct correlation was observed between the exposure angle and corrosion rate. Samples exposed at 0° showed the highest corrosion rates, followed by those at 30°, with the lowest rates seen at 45°. The TOW data indicates that the 0° angle samples remained wet for longer periods compared to 30° and 45°. Although the other sites – UAF, PAA, and UAA – exhibited less pronounced trends and experienced four times less corrosion than PSCA, the samples at 0° consistently showed higher corrosion rates than those at 30° and 45°.

Table 3: Chloride and Sulfate Deposition Rates.

 Figure 6: Average Corrosion Rates of 1008 Carbon Steel Over Full 12-Month Exposure Period.

Corrosion Rate Conversion

The following table is useful to put the above corrosion rates into context for the four test regions above.

Table 4: Corrosion Rate Conversion. 

Conclusion

New and innovative multi-angle corrosion test racks, each with auxiliary weather stations, were established at four test sites spanning across Alaska, USA. Each of Alaska’s four test sites presents a distinct corrosion profile: Kodiak (PSCA) exhibits high chloride-driven corrosion, Anchorage (PAA/UAA) faces freeze-thaw cycles with de-icing salts, and Fairbanks (UAF) experiences frost-dew cycling. Initial field campaigns revealed a clear correlation between exposure angle and corrosion rate. The combination of urbanisation and proximity to marine environments makes Arctic and sub-Arctic regions in North America, particularly Alaska, an important natural laboratory to study atmospheric corrosion in cold regions and the development of predictive models and corrosivity maps tailored for Arctic conditions. The fundamental knowledge of studying the basic atmospheric corrosion mechanisms in extreme cold conditions will result in better design practices for the built environment in the changing Arctic.

Acknowledgements

The author acknowledges the UAA’s College of Engineering and ConocoPhillips Arctic Science and Engineering Endowment, NASA EPSCoR CAN grant, and the many undergraduate students and collaborators who contributed to the design, installation, and operation of the corrosion monitoring sites across Alaska. Special thanks to graduate students Mr Tyler Cushman, Mr Jozef Huner, Mr Lawrence Giron Jr., Mr. Jacob Bodolosky, and machinist Mr Corbin Rowe. The author also gratefully acknowledges the organizations that provided access and site space for test rack installation, including the Pacific Spaceport Complex–Alaska (Kodiak), the Port of Alaska, the University of Alaska Anchorage, and the University of Alaska Fairbanks.

References

  1. E A Wright, CRREL’s First 25 Years: 1961–1986, US Army Cold Regions Research and Engineering Laboratory, Hanover, NH, 1986.
  2. Revie Winston (2000) Uhlig Corrosion Handbook, 2nd Edition.New York: John Wiley & Sons, Inc
  3. ASTM Committee G1 “Corrosiveness of Various Atmospheric Test Sites as Measured by Specimens of Steel and Zinc,”in Metal Corrosion in the Atmosphere, ASTM STP 435, American Society for Testing and Materials, Philadelphia, PA, 1968, 360–391.
  4. A Pearce and C G Smith, The Hutchinson World Weather Guide, Hutchinson, London, 1984.
  5. J R Divine and L D Perrigo, “Atmospheric corrosion testing in the arcticand subarctic—a review,” Paper No. 389, in Proceedings of the Corrosion 86 Conference, NACE, Houston, TX, 1986.
  6. P Sereda, “Weather Factors Affecting Corrosion of Metals,” in Corrosion in Natural Environments. ASTMSTP 558, American Society for Testing and Materials, Philadelphia, PA, 1974, pp. 7–22.
  7. G W Brass, “Freezing depression by common salts: implications for corrosion in cold climates,” in Proceedings of the National Association of Corrosion Engineers, Canadian Region Western Conference, Anchorage, Alaska, 1996, pp. 447–453.
  8. G A Biefer, Perform., 20(1), 16 (Jan. 1981).
  9. V Kucera et , “Corrosion of Steel and Zinc in Scandinavia with Respect to the Classification of the Corrosivity of Atmospheres,” in S.W. Dean and S. Lee (Eds.), Degradation of Metals in the Atmosphere, ASTM STP 965, American Society for Testing and Materials, Philadelphia, PA, 1988, pp. 264–281.
  10. A Mikhailov, M Syloeva, and E Vasilieva, Data Base on Atmospheric Corrosivity in Towns and Industrial Centres in the Territory of the Former USSR, Institute of Physics and Chemistry, Russian Academy of Science, Moscow,
  11. A A Mikhailov, P V Strekalov, and Yu M Panchenko, “Atmospheric corrosion of metals in regions of cold and extremely cold climate (a review)”, Protection of Metals, 2008.
  12. ASTM G50, “Standard Practice for Conducting Atmospheric Corrosion Tests on Metals,” ASTM International, doi: 10.1520/G0050-20.
  13. ISO 8565, “Metals and Alloys. Atmospheric Corrosion Testing. General Requirements,” BSI Standards Limited, 2011.
  14. Coburn, M Komp, and S. Lore, “Atmospheric Corrosion Rates of Weathering Steels at Test Sites in the Eastern United States — Effect of Environment and Test-Panel Orientation,” in Atmospheric Corrosion, 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959: ASTM International, 1995, pp. 101-101–13.
  15. L H Hihara, J Kealoha, and N Das, “Studying the effect of wind direction and specimen orientation on the corrosion of 1018 steel using a compact octagonal prism portable exposure rack,” NACE, 2019.
  16. J J Santana, et , “The influence of test-panel orientation and exposure angle on the corrosion rate of carbon steel. mathematical modelling,” Metals (Basel), vol. 10, no. 2, p. 196, Jan. 2020.
  17. ASTM G92, “Standard Practice for Characterisation of Atmospheric Test Sites,” ASTM International, 2020.
Influence of Overprotection  on AC Corrosion.   Analysis of a Real Case

Influence of Overprotection on AC Corrosion. Analysis of a Real Case

Ivano Magnifico, Certified Senior Technician in Cathodic Protection.

Meet the Author
Ivano Magnifico holds a master’s degree in Electronic Engineering and serves as the Gas and Oil Product Manager at Automa, an ICorr Corporate Member.

A certified Cathodic Protection Specialist, he combines technical competence with deep knowledge of market analysis and industry standards. With over 15 years of experience in remote cathodic protection monitoring and a patent for an intelligent reference electrode, Ivano has made significant contributions to the field. He is a member of the Board of Directors of CEOCOR (European Committee for the Study of Corrosion and Protection of Piping Systems) and serves as the Delegate of the AMPP Italy Ivano Magnifico Chapter. In addition, he is an active participant in ISO and AMPP standard working groups on cathodic protection.

Introduction

The risk of AC corrosion has always been linked to the parallelisms of underground pipelines with High Voltage AC lines, especially in those geographical areas where the morphology of the territory creates obligatory so-called “technological corridors” and therefore forces the coexistence of different services over long distances.

Recently, the greater diffusion of AC-powered railway networks has further increased the AC interfering sources, while the use of more performing coatings on underground pipelines has on the one hand increased their insulation from the surrounding soil, and on the other has increased the risk of overprotection compared to old, less performing, or more degraded coatings.

This paper, starting from a real case found in a gas distribution network, will present the normative criteria to be used to keep
the AC corrosion risk under control, and will highlight how the simultaneous presence of cathodic overprotection may result in an autocatalytic cycle leading to accelerated AC corrosion, in which monitoring becomes essential in order to be able to carry out on time the appropriate corrective actions.

There are several mechanisms through which an AC source can interfere with a metal structure (Fig. 1): by inductive coupling,
as an effect of the magnetic field generated with respect to an underground structure; by capacitive coupling, in the case of an aerial structure; and by conductive coupling in the presence of a fault current in the ground, in the case of an underground pipeline.

In the case of underground pipelines, under normal operating conditions, the mechanism that can generate AC interference is inductive coupling: normally the interference effect is greater as larger the length of the sections where the pipeline and the AC source (high voltage AC lines, railways operated in AC) follow a parallel path.

AC Corrosion Protection Criteria

International industry standards specify which electrical parameters shall be monitored and their maximum allowed values. The standard ISO 18086:2019 “Corrosion of metals and alloys – Determination of AC corrosion – Protection criteria” indicates two steps for the verification of permissible AC interference levels (Fig.2):

Figure 1: AC Interference Mechanism.

Figure 2: AC Corrosion Risk Assessment According To ISO 18086.

The first step relates to a safety criterion for maximum permissible touch voltage (15V threshold) and does not have a direct rule in AC corrosion risk assessment. This value considers a hand-to-hand or hand-to-foot resistance for an adult male human body of 1500 Ω, yielding a current flow of 10 mA when 15 V is applied [2].

The criterion is based on current density measurements carried out through a coupon whose surface is defined by the standard to be 1 cm², connected to the structure. Both AC current density and DC current density must be measured, as the level of cathodic protection can affect the AC corrosion phenomenon.

NACE standard SP21424-2018 “Alternating Current Corrosion on Cathodically Protected Pipelines: Risk Assessment, Mitigation, and Monitoring” [3] expresses similar values, where depending on the measured DC current density (J.dc) value, different levels of AC current density (J.ac) are allowed:

• If J.dc > 1 A/m2 then J.ac < 30 A/m2; or
• If J.dc < 1 A/m2 then J.ac < 100 A/m2

This standard imposes a maximum AC current density limit even if the DC current density is less than 1 A/m², while the coupon surface of 1 cm² is indicated as generally used but not mandatory.
The Spread Resistance is the ohmic resistance through a coating defect towards remote earth and controls the DC (Idc) or AC (Iac) current passing through a defect at a given voltage (Udc or Uac):
Uac = R’s Iac or Uac = Rs J.ac (1)

where Rs is the normalized Spread Resistance expressed in Ω·m2.

On coating defects, where cathodic protection current reaches the steel surface, cathodic reactions occur involving oxygen reduction and hydrogen evolution. Both reactions generate hydroxide ions(OH-) leading to increased pH at the interface and alkalinity.

Since Spread Resistance depends [4] on both defect size (decreases as surface decreases) and pH value at the interface (decreases as pH increases), the DC current density reaching the defect affects it:

Lower current density leads to decreased pH value and increased Spread Resistance.

Higher current density leads to increased pH value and decreased Spread Resistance.

This is where overprotection can have an effect on AC corrosion:

Presence of a very electronegative IR-free potential (due to high DC current densities);

• Decrease in the Spread Resistance value;

• Possibility of significant AC current density even with low measured AC voltage.

Regarding the choice about which size of coupon to use, increasing the surface area of the coupon results in a lower average current density since the spread resistance increases linearly with increasing defect diameter and the current density decreases linearly with surface area.

Therefore, the current density is typically underestimated when the surface area of the coupon is chosen to be larger than the maximum defect size on the structure: for this reason, in the case of AC corrosion, the standards indicate the use of a 1 cm2 coupon.

AC Corrosion Mechanism in the Presence of Over-Protection [3]

For pipelines with applied cathodic protection, AC corrosion development requires simultaneous coexistence of induced AC, excessive cathodic protection, and small coating defects. Under these conditions:

1. Induced alternating current leads to alternating current discharge on coating defects.

2. AC current density is regulated by alternating voltage and spread resistance associated with the coating defect, through Ohm’s law.

3. Spread resistance depends on:
a. Coating defect size.
b. Soil resistivity near the defect.
c. Soil chemistry.
d. Cathodic protection current density in the coating defect.

Figure 3 – Autocatalytic Nature of AC Corrosion on Cathodically Protected Pipelines Described by Sp21424.

As shown in Fig.3, the AC current density can lead to the depolarisation of the defect: this requires a higher DC current density to maintain a certain cathodic protection potential. Increasing the level of cathodic protection to mitigate AC corrosion, in this case, has the opposite effect: the increase in DC current density further decreases the Spread Resistance at the coating defect due to the production of OH- ions (alkalinisation). Through high levels of cathodic protection, the Spread Resistance decreases, thus increasing the density of alternating current, restarting the cycle: this scenario results in an autocatalytic cycle leading to AC corrosion.

It therefore becomes clear that, in order to leave this cycle, it is necessary to control both the AC current density and the DC current density.

Analysis of A Real Field Case

The case that will be shown has been detected on a measurement point of the distribution network of a large European city, with the following features:

• An extensive cathodic protection system forming a ring around the city center with radiating offshoots.

• Multiple crossings with DC powered railways and surface metro.

• Multiple parallels with the HVAC network.

• Cathodic Protection guaranteed by two T/Rs.

The analysed measuring point (MP):

• Located in a CP system area with several km of parallelism with HVAC line.
• Local soil resistivity between 25 and 50 Ω·m.
• Equipped with permanent CSE reference electrode with integrated 10 cm² coupon (measured current density is underestimated compared to 1 cm² coupon).
• Equipped with a G4C-PRO remote monitoring device capable of performing instant-off measurements on coupon and current density measures.

The measurements shown in Table 1 correspond to daily reports calculated on measurements performed continuously at a frequency of 1 Hz (1 measure per second) for each measuring channel. The minimum, average and maximum daily values are shown over a period of 4 days:

• Eon.dc: ON potential (DC) expressed in V CSE;
• Eon.ac: ON potential (AC) expressed in V;
• E off: instant-off on coupon, equivalent to IR-Free potential
(measured, every second, after a 1 ms wait from switch opening and over a 20 ms interval) expressed in V CSE;
• mIon: DC polarisation current of the coupon expressed in mA; as the coupon size is 10 cm2 the shown value corresponds to the current density in A/m2;
• mIon.ac: AC polarisation current of the coupon expressed in mA; as the coupon size is 10 cm2 the shown value corresponds to the current density in A/m2 (note: the current density value measured on a 1 cm2 coupon would be significantly greater than that measured on the 10 cm2 coupon).

In the absence of coupons, the only available measures would be Eon.dc and Eon.ac, and, on these values, the only possible evaluation would be that relating to the first step of ISO 18086, which would be absolutely respected considering that the highest AC average value along the four days shown (0,424 V) is well below the indicated threshold of 15V. Generally, such a low AC voltage value would never suspect a real risk of AC corrosion, but as can be detected from the DC and AC current densities, we are faced with unacceptable interference levels:

• mIon: between 15 A/m2 and 17 A/m2:

o greater than the threshold of 1 A/m2 for which (according to ISO 18086) the AC current density value would be indifferent.

• mIon.ac: between 35 A/m2 and 39 A/m2:

o greater than the threshold of 30 A/m2 indicated by ISO 18086 and NACE SP21424.

The explanation for this situation is given precisely by the significant level of cathodic overprotection present, represented by IR-Free potential values more negative than -1.3 V CSE and very high DC current density values, being the MP in a site suffering cathodic DC interference generated by metro and railway systems.

This results in a reduction of the Spread Resistance value, up to the point of generating an AC current density higher than the allowed limits even in the presence of a very low AC voltage.

The main evidence of the dependence of this condition on over-protection has been clearly shown when, due to a malfunction, one of the two T/Rs protecting the Cathodic Protection system did shut down, changing the values measured on the Measurement Point as in Table 2:

 

 

 

 

Combatting Corrosion, Vibration, and Fatigue Under Pipe Supports:  SmartPad System Advances for the Energy and Process Sectors

Combatting Corrosion, Vibration, and Fatigue Under Pipe Supports: SmartPad System Advances for the Energy and Process Sectors

Hani Almufti, Technical Lead, Cogbill Construction (RedLineIPS), USA.

Meet the Author

Hani Almufti is Engineer and Manager of Strategic Development at Cogbill Construction (RedLineIPS), where he leads product strategy, materials selection, and technical guidance for metallic and non-metallic pipe support systems. He holds a B.S. in Industrial Engineering and is a Master’s candidate in the same field. With 15+ years in pipe supports—including a decade focused on offshore energy corrosion—he specialises in corrosion under pipe supports (CUPS) and the performance of FRP/composite and metallic supports. His expertise spans corrosion mitigation, reliability engineering, and process improvement, with a sustained focus on reducing risk, noise/vibration, and lifecycle cost across onshore and offshore assets.

Photo 1: Installed System On Pipe Gantry.

1. Introduction

Pipe-support interfaces are convergence points for several degradation modes in industrial and offshore piping: corrosion under pipe supports (CUPS), vibration, structure-borne noise, and fatigue. On offshore platforms and FPSOs, major operators have reported that these risks are heightened by salt-laden atmospheres, hull motion, and restricted access, while the pipe–pad contact remains difficult to inspect [1].

Conventional mitigations—welded metallic pads, thermoplastic half-rounds, and epoxy-bonded plates—can re-establish galvanic paths, trap electrolyte, or require hot work and cure time. Maintaining seal integrity, alignment, and controlled slip becomes increasingly challenging as coatings wear and thermal cycles accumulate [1]. The RedLineIPS SmartPad System is a fully non-metallic support interface comprising a load-spreading FRP saddle, a bonded closed-cell elastomeric gasket (Hydroseal), and FRP bands/buckles.

Together, they electrically isolate the pipe from the steel support, seal the pipe–pad contact to discourage moisture films, provide viscoelastic damping at the interface, and relocate thermal slip to a controlled, low-friction plane on the saddle/support side. This paper outlines the design rationale, installation approach, and third-party proofs, and summarises field experience from a Gulf Coast of Mexico chemical plant retrofit programme.

2. The SmartPad System

2.1 Composite FRP SmartPad (Saddle Wear Pad)
2.1.1 Construction and geometry
Structural fibre-reinforced polymer (FRP) saddle fabricated from continuous-strand mat (CSM) in a vinyl-ester matrix, moulded to standard pipe curvatures of 1/2” to 72” NPS. The crown radius and contact width are sized to spread load over a broad arc, keep local bearing pressure low, and maintain stable seating under thermal and dynamic loads.

2.1.2 Functions at the pipe–pad interface
• Load distribution:
Spreads the pipe’s weight over a wider area so no small spot takes all the pressure—reducing dents and coating damage.

• Electrical isolation: Non-conductive composite interrupts metal-to-metal continuity (limits galvanic coupling to support steel).

• Coating protection: Smooth, inert bearing surface reduces abrasion during thermal slip and vibration.

• Offshore durability: Vinyl-ester chemistry with UV inhibitors tolerates chloride-rich, marine atmospheres.

Photo 2: SmartPad Exoskeleton with Grooves for Bands.

2.1.3 Typical Material Properties

• Resin system: Vinyl ester; reinforcement: CSM; glass content: ~35–40 wt%.

• Compressive strength (ASTM D695): ~25,000 psi
(172 MPa) [2].

• Flexural strength (ASTM D790): >30,000 psi (207 MPa).

• Continuous service temperature: -60°F to 400°F (-51°C to 204°C).

• UV resistance: High (integral inhibitors).

• Fire behaviour: Fire-retardant formulation (rating available on request).

2.1.4 Manufacture and Integration

Hand lay-up with controlled cure to achieve low void content and uniform fibre wet-out. Finished edge radii and surface roughness are controlled to minimize coating gouge. Saddle curvature and contact-width tolerances support repeatable fit and clamp preload. The FRP saddle provides the load-bearing, isolating substrate for the bonded closed-cell gasket and FRP banding within a fully non-metallic load path.

2.2 Hydroseal Closed-Cell Gasket

Photo 3: FRP Saddle and Closed Cell Gasket.

2.2.1 Construction and Placement

Factory-bonded to the SmartPad’s pipe side, the closed-cell elastomer compresses under band preload to form a continuous, conformal contact that accommodates normal surface roughness and remains uniform through thermal and vibration cycles at the pipe–pad interface.

2.2.2 Functions at the Pipe–Pad Interface

• Moisture Exclusion / CUPS Control: Very low water uptake; compressed contact suppresses crevice geometry and ion/oxygen transport, limiting crevice/under-deposit and MIC precursors.

• Vibration and Noise Attenuation: Viscoelastic damping lowers transmitted shear and micro-slip; the compliant, non-metallic layer acts as an acoustic impedance break to reduce structure-borne noise and alternating stress.

• Assists Galvanic Isolation: In combination with the FRP saddle, maintains a fully dielectric contact path.

2.2.3 Typical Material Properties

• Type: Closed-Cell Elastomer (e.g., silicone / EPDM)

• Density: 14–18 lb/ft³ (≈225–290 kg/m³)

• Compression-deflection @25% (ASTM D1056): ≈7.5 psi (≈52 kPa) [3]

• Hardness (ASTM D2240, Shore 00): 40–60

• Water absorption (ASTM D471): <0.1% by volume

• Operating temperature: –60°F to 570°F (-51°C to 300°C) • Compression-set resistance: Excellent

2.2.4 Durability and Integration

Under FRP-band preload, the gasket maintains stable compression, preserving seal and damping through thermal/vibration cycling and tolerating minor surface irregularities from prior repairs. Within the fully non-metallic load path, the gasket supplies sealing, compliance, and energy dissipation that complement the saddle’s stiffness and protect the coating at the pipe–pad interface.

2.3 SmartBands

2.3.1 Construction and Locking

Continuous long-strand FRP straps in a UV-resistant resin, paired with a matching-pitch FRP square-tooth buckle for incremental, non-backdrivable engagement. Radiused edges and smooth faces limit stress risers and coating damage.

Photo 4: Non-Metallic Straps and Buckles.

2.3.2 Functions at the Pipe–Pad/Support Interface

• Dielectric clamping: All-composite load path preserves electrical isolation (avoids galvanic reintroduction).

• Preload delivery/retention: Long-strand reinforcement improves load transfer and creep/fatigue resistance, maintaining clamp force through thermal and vibration cycling.

• Surface compatibility / constructability: Non-marring inner face; smooth outer face for clean tensioning. Installs with a calibrated handheld tool—no hot work or adhesives.

2.3.3 Typical material properties

• Material: Continuous-strand FRP; UV-resistant resin.

• Tensile capacity (per band): ~1,200 lbf (≈5.3 kN).

• Thermal range: –40 °F to 250 °F (–40 °C to 121 °C).

• Electrical behaviour: Dielectric, non-metallic.

• Environmental durability: Corrosion-immune; outdoor/UV rated for coastal/offshore service.

2.3.4 Installation and Preload Control
Bands routed in moulded circumferential grooves in the saddle engage the FRP buckle and are tensioned to specification with a calibrated tool. Groove geometry sets bend radius, keeps the strap flush/recessed, and prevents lateral migration; the low-profile routing avoids snagging and maintains uniform bearing. Preload is confirmed by tool indication (or witness marks). For underside inspection, bands are single-use—they are cut and replaced with new bands; replacements are low-cost, and reinstallation typically takes minutes per support. Grooved routing also localises relative motion to the engineered slip plane at the saddle–support interface [4].

2.3.5 Durability and Integration
The continuous-strand architecture resists creep and tooth-root fatigue under cyclic loads. UV-stabilised resin supports long outdoor exposure; the all-composite assembly is unaffected by chloride corrosion. SmartBands provide the clamping force that maintains the Hydroseal seal and the saddle’s load-sharing contact within a fully non-metallic load path.

Photo 5: Example of Corrosion Under Pipe Support.

3. Corrosion Mechanisms at Support Interfaces

3.1 Crevice / Differential Aeration

Mechanism:  A narrow, shielded gap at the pipe–pad interface traps a thin electrolyte. Oxygen is depleted inside the gap while adjacent surfaces remain aerated, creating an anode/cathode differential. Wet–dry cycling concentrates chlorides and lowers pH, undermining coatings and accelerating localised metal loss [1].

SmartPad Mitigation: A factory-bonded, closed-cell Hydroseal gasket forms a continuous conformal contact under preload, denying voids where films persist. The FRP saddle spreads load to keep contact pressure uniform through thermal cycles, disrupting the differential-aeration cell associated with CUPS.

3.2 Galvanic at the Support

• Mechanism: Electrically coupled dissimilar (or conditionally different) metals sharing an electrolyte drive anodic dissolution; small-anode/large-cathode area ratios intensify attack at supports [1].

• SmartPad Mitigation: A fully dielectric load path—FRP saddle, Hydroseal gasket, and FRP SmartBands™/buckles—breaks metal-to-metal continuity. The sealed interface also limits shared electrolyte, cutting off both prerequisites for galvanic corrosion.

3.3 Microbiologically Influenced Corrosion (MIC)

• Mechanism: In intermittently wet crevices, biofilms (e.g., SRB) create chemically distinct microenvironments (sulfides, acidity, differential aeration) that localise attack

[1]. • SmartPad Mitigation: The low-uptake, closed-cell contact shortens wet-film residence time and reduces attachment sites. Smooth, non-porous, electrically isolating surfaces further discourage biofilm establishment and persistence at the pipe–pad interface.

3.4 Fretting-Assisted Corrosion

• Mechanism: Sub-millimeter relative motion from vibration/thermal cycling abrades coatings and oxides; freshly exposed steel corrodes between slips, forming a wear–corrosion feedback loop focused at the supports [1].

• SmartPad Mitigation: Viscoelastic damping in Hydroseal stabilises the pipe–pad contact and lowers micro-slip. Required thermal movement is relocated to the low-friction saddle–support interface, while the FRP saddle’s load distribution reduces shear at the pipe wall.

3.5 Under-Deposit/Capillary Thin-Film

• Mechanism: Deposits or capillary-held films trap chloride-rich, oxygen-poor moisture that behaves like a crevice beneath the footprint [1].

• SmartPad Mitigation: The bonded, continuous interface leaves no seam for solids to wedge; closed-cell elastomer resists wicking. Moisture remains on exposed, cleanable surfaces rather than beneath the pipe.

4. Vibration

4.1 Sources and frequency content
Piping vibration originates from rotating/reciprocating equipment (pumps, compressors, blowers), pulsation in positive-displacement services, turbulence at fittings/reducers, two-phase/cavitation, hydraulic transients, alignment/soft-foot issues, and support stiffness mismatches. Field spectra commonly fall in the 10–100 Hz band with ~0.25–2.5 mm (0.01–0.10 in) peak-to-peak motion; response amplifies near span/support natural frequencies (cf. ISO 20816-1) [5].

4.2 Why the pipe–pad interface matters
Rigid, metal-to-metal load paths transmit dynamic energy as micro-slip and contact shear at the pipe–pad interface. This accelerates coating wear (promoting CUPS), excites support steel (structure- borne noise), loosens hardware, and increases alternating stress Δσ—shortening fatigue life per S–N behaviour.

4.3 SmartPad mitigation mechanisms
• Interface damping (Hydroseal).
The closed-cell elastomer provides viscoelastic damping in the 10–100 Hz range, reducing transmitted shear/micro-slip and smoothing contact pressures [6].

• Relocated slip (FRP saddle). The moulded saddle furnishes a controlled, low-friction slip plane at the saddle–support interface so thermal movement does not abrade the coating at the pipe–pad interface; broad bearing further lowers work per cycle.

• Stable dielectric clamping (SmartBands™ in recessed grooves). Calibrated, all-composite preload maintains uniform contact without re-introducing metallic short circuits, low-profile routing resists lateral migration and secondary rattles.

5. Sound (Structure-Borne Noise)

5.1 Mechanism
Dynamic forces excite the pipe wall; a rigid, metal-to-metal path at the pipe–pad interface transmits that energy into support steel and deck members, which then radiate airborne noise. Frictional micro-slip at a hard contact can also generate “stick–slip” (squeal) components. Acoustic transmissibility rises when the interface impedance closely matches the supporting structure.

5.2 Sources and Frequency Content
The same drivers as vibration—rotating/reciprocating equipment, pulsation in positive-displacement (PD) services, turbulence, two-phase/cavitation, hydraulic transients, alignment/soft-foot, and support stiffness issues—dominate. On process/offshore lines, most structure-borne content is ~20–200 Hz, overlapping habitability and communication bands

[5]. 5.3 SmartPad Noise-Control Mechanisms

• Impedance break + damping (Hydroseal): The closed-cell elastomer introduces a compliant, non-metallic layer at the pipe–pad interface, lowering mechanical impedance and adding viscoelastic loss. Result: reduced transmissibility and less friction-generated noise from micro-slip.

• Controlled slip on the support side (FRP saddle): The moulded FRP surface provides a low-friction slip plane at the saddle–support interface, keeping relative motion off the coating and suppressing stick–slip at the pipe–pad contact. Broad bearing further lowers contact forces that drive radiation.

• Dielectric, Low-Profile Clamping (SmartBands in recessed grooves): All-composite bands maintain the decoupled path
(no metallic short-circuit) and sit flush to avoid secondary rattles; calibrated preload keeps contact uniform.

6. Structural Integrity (Fatigue & Stability)

6.1 Overview
The pipe–pad interface largely governs fatigue performance at supports. A hard, rigid contact concentrates routine loads and transmits vibration into repeatable stress cycles, leading to local denting, coating loss, misalignment, and ultimately crack initiation in the pipe wall or supporting steel [7].

6.2 Principal contributors at supports
• Thermal restraint.
Limited slip forces the pipe to bear against the interface; daily temperature swings add alternating load.

• Small real contact area / edges. Narrow bearings or sharp transitions elevate local pressure and seed dents.

• Dynamic excitation. Equipment- and flow-induced vibration increases the stress range each cycle.

• Fit-up variability. Misalignment or uneven bearing amplifies local stress and accelerates coating abrasion.

6.3 Why this matters for fatigue

Fatigue life follows S–N behaviour and is controlled by the alternating stress amplitude (Δσ). Dents, coating scrapes, and other stress raisers reduce cycles to initiation; once the coating is breached, corrosion further degrades the section, compounding risk [7].

6.4 SmartPad mitigation mechanisms

• Load distribution — FRP saddle. Broad bearing lowers peak contact pressure and mitigates edge effects; the non-conductive substrate avoids metal-to-metal paths that undermine coatings.

• Compliance & damping — Hydroseal gasket. A firm, closed-cell elastomer equalises contact pressure, absorbs vibration, and cushions small impacts, reducing contact shear and Δσ per cycle [6].

• Controlled movement without abrasion — saddle–support slip plane. Thermal growth is taken on the moulded FRP surface (optional low-μ liner if needed), minimising stick–slip and fretting at the pipe–pad contact.

• Stable alignment & clamp — SmartBands in recessed grooves. Calibrated, all-composite preload keeps contact uniform and resists lateral migration; the dielectric, low-profile routing avoids galvanic short-circuits and loose hardware.
(For underside inspection, bands are single-use—cut and replaced; this is a low-cost operation).

Photo 6: Full System Assembly.

7. Third-Party Testing: SmartPad Suitability for Industrial Service

Independent third-party testing was performed on specimens, as follows:

7.1 Results – Proof Loads, No Failures Observed

• Pad-only Compression: FRP saddle on NPS 16, STD wall pipe sustained 113,300 lbf axial compression without pad failure.

• Assembly Compression: Banded SmartPad-on-pipe (4.5 in OD × ¼ in wall) sustained 26,400 lbf axial compression without pad failure.

• Assembly Shear: Same assembly sustained 1,057 lbf lateral
(shear) without pad or band failure.

7.2 Interpretation
For the geometries/fixtures tested under monotonic loading, neither the composite saddle nor the banded assembly was the limiting element. The components tolerated high localised bearing and incidental lateral restraint typical of pipe-support reactions when installed and preloaded to specification.

7.3 Scope and Limits
These are static proof tests on short specimens. They do not establish design allowables or characterise fatigue, creep/relaxation, or environmental durability. Apply normal owner engineering practices (codes, load combinations, temperature, vibration/fatigue assessment) [8,9].

7.4 Implication for Use
Combined with the corrosion mechanisms described in section 3 (sealed dielectric interface, viscoelastic damping at the pipe–pad contact, and load spreading/controlled slip), the proofs support the SmartPad System’s mechanical suitability as a non-metallic pipe-support interface for industrial and offshore service, subject to project-specific engineering review.

8. Case Study — Coastal Texas Chemical Plant (Anonymised) Background

A large Gulf Coast complex retrofitted the RedLineIPS SmartPad System to mitigate CUPS, structure-borne noise, and nuisance vibration at pipe/support interfaces in a salt-laden, high-humidity environment.

8.1 Scope

• Units: Olefins recovery, utilities/cooling water, brine handling.

• Lines: Carbon-steel piping from 2”–24” NPS; cooling-water return, light condensate, brine.

• Quantity: ~5,000 supports installed during routine windows (no hot work).

• Configuration: FRP saddle + bonded Hydroseal closed-cell gasket + FRP SmartBands/buckles.

Photo 7: Installed System at Formosa Plant.

 

Photo 8: Installed System at Formosa Plant.

 

Technical Article – A Framework for Evaluation of Ultrasonic Corrosion Inspection and Monitoring Strategies for  Large Steel Structures Yifeng Zhang, PhD, and Frederic Cegla, PhD

Technical Article – A Framework for Evaluation of Ultrasonic Corrosion Inspection and Monitoring Strategies for Large Steel Structures Yifeng Zhang, PhD, and Frederic Cegla, PhD

MEET THE AUTHORS

Dr Yifeng Zhang is a Postdoctoral Research Associate in the Non-Destructive Evaluation (NDE) Group at Imperial College London. His work focuses on ultrasonic Structural Health Monitoring (SHM) and inspection technologies that enhance structural integrity and operational efficiency across the energy and petrochemical sectors.

Dr Frederic Cegla is a Reader/Associate Professor in the non-destructive evaluation (NDE) Group at Imperial College London. His research focuses on developing and applying advanced technologies for non-destructive evaluation NDE, SHM, and process monitoring — linking cutting-edge sensing and wave physics with practical solutions for industry.

Introduction: The Challenge of Corrosion Surveillance

Corrosion remains one of the most persistent challenges in managing industrial assets such as power plants, processing facilities, pipelines, and ships. Unlike sudden failures, it develops gradually, often across vast areas and over decades of service.

The result is a degradation process that is both spatially and temporally diverse. Non-destructive evaluation (NDE) techniques such as ultrasonic testing and thickness gauging are widely used to provide critical information that underpins the safety, reliability, and availability of various assets. In practice, it is rarely feasible to perform complete (100%) inspection coverage of large downstream or marine facilities. Instead, inspection areas are typically prioritised using risk-based assessment (RBA) programmes, which focus resources on regions with the highest likelihood or consequence of corrosion Because of these practical constraints, current ultrasonic methods have evolved along two main directions.

Figure 1: Ultrasonic Thickness Measurement Techniques, Trade-Offs Between Spatial Coverage and Temporal Resolution.

Scheduled one-off inspections — often combined with visual assessments and performed using scanning systems — can cover large areas but occur infrequently due to the need for plant shutdowns or limited access [1–2]. In contrast, permanently installed automated monitoring sensors offer improved measurement repeatability and high temporal resolution but are typically deployed only at a few selected locations [3–4] owing to cost and installation complexity.

Towards Hybrid Inspection and Monitoring

Recent advances in robotics and sensor technologies are creating powerful synergies that blur the line between traditional one-off inspection and continuous monitoring. It is envisaged that autonomous robotic platforms will in future manipulate ultrasonic probes across complex geometries, while monitoring sensors will be deployed in hard-to-reach areas that once required significant manual effort.

Prototypes of resident inspection robots — designed to remain on the asset and operate semi-independently — are moving from research labs towards field demonstrations [5-6].

Figure 2: Integration of EMAT With Robotic Platforms (Image Courtesy of The Offshore Robotics for The Certification of Assets (ORCA) Hub, From Research That Led To The Formation of Sonobotics Ltd).

These developments point towards a hybrid surveillance model that combines the strengths of both worlds as part of the agreed inspection programme. For example, resident robots could perform encoded ultrasonic scans across a structure, leaving behind monitoring sensors in critical regions for long-term trending. There, instead of choosing between wide but infrequent inspections and highly localised monitoring, a mixed approach could provide a more complete picture of corrosion progression in both time and space. The opportunities are clear, but so are the challenges. How many robots or sensors are needed to ensure sufficient reliability and compliance with the agreed overall inspection programme? How does the hybrid scheme align with existing approaches? What are the cost implications and likely return on investment? These questions must be addressed before hybrid inspection-monitoring schemes can achieve widespread adoption.

While current best practices for NDT in the energy sector follow established standards such as API 581 and guidance provided
by organisations such as ESR-HOIS, a forward-looking study funded by the UK Research Centre in NDE (RCNDE) explored new methodologies to systematically evaluate and optimise hybrid inspection–monitoring strategies. [7–8]. This article highlights the main findings of the study, introducing a generic framework applicable across diverse industries and corrosion scenarios.

A Framework for Evaluating Hybrid Inspection–Monitoring Schemes

The proposed framework comprises four essential steps, each of which plays a role in simulating how corrosion evolves, how it is measured, and how the acquired data are interpreted.

1.Corrosion Modelling: Capturing the Degradation Process

The framework begins by establishing a model that accurately captures corrosion damage progression. Corrosion manifests differently across industries—from uniform wall thinning in pipelines to localised pitting in offshore structures and complex mixed morphologies in chemical processing facilities. It is recognised that no single model would suffice for all applications, and different scenarios demand models of varying complexity and fidelity.

While corrosion mechanisms vary widely, ultrasonic NDE measurements share a common dependency: the corroded surface profile. Since wave reflection from the corroding surface dictates the characteristics of measured ultrasonic signals, a suitable corrosion model must capture both the relevant surface morphology and its temporal evolution.

This approach decouples electrochemical complexities from NDE simulation requirements, enabling the corrosion model to be readily updated or substituted for different scenarios.

2. Modelling the NDE Technique

The second stage involves accurately representing the NDE method itself. Like all measurement systems, NDE techniques inherently contain errors and uncertainties. For instance, as part of theHOIS Joint Industry Project [9-10], the measurement error and uncertainties of several manual and automated corrosion mapping methods were evaluated, and the findings were found to vary significantly depending on the choice of equipment.

For normal-incidence ultrasonic thickness measurements, the signal depends on multiple factors: transducer characteristics (e.g. size, shape, operating frequency) and surface conditions (e.g. roughness) [11-12]. Signal processing algorithms further influence measurement outputs, with algorithm selection typically based on the expected defect type. Understanding and quantifying these error sources is crucial, as they propagate through to all subsequent analyses and decision-making processes.

While finite-element simulations can accurately capture wave propagation phenomena, their computational demands make statistical analysis of stochastic corrosion processes challenging. Surrogate models — either physics-based or data-driven—offer a practical alternative by balancing computational efficiency with accuracy. These simplified models enable systematic evaluation of NDE techniques while maintaining sufficient fidelity to represent real-world performance.

In practice, multiple models may be required to represent different equipment types, and these can later be integrated and refined as field experience accumulates. Ultimately, the chosen NDE model must reflect the technique’s inherent limitations and uncertainties as encountered in field applications.

xFigure 3: An Overview Of The Proposed Evaluation Framework.

Figure 4: Illustration Of The Ultrasonic Scanning Measurement: Comparison Between The True Underlying Surface And The Thickness Measurement Map Predicted By A Surrogate Model.

 3. Simulation of Data Acquisition Processes

The third stage models the data acquisition process, addressing real-world constraints such as operational access, spatial scanning resolution, limited probe availability, and restricted temporal measurement frequency. By focusing on data subsampling in time and space, the framework accounts for the incomplete nature of field measurements caused by sparse grids, irregular intervals, and missed data points. These constraints ensure a realistic representation of field deployment scenarios, enabling accurate assessments under practical conditions.

4.Defining Metrics of Reliability and Risk

Once simulated data are available, the next step is to establish performance assessment criteria. This involves defining a clear corrosion assessment objective, such as detecting defects above
a specified threshold or tracking the location and extent of the minimum remaining thickness. Ideally this data collection should be combined and reported along with prevailing operating parameters / modes e.g. cyclic operation to provide added value.

Quantitative metrics, such as the probability of detection (POD) or receiver operating characteristic (ROC) analysis, are then applied. These metrics are evaluated on an ensemble of representative surfaces using Monte Carlo-style simulations to assess the effectiveness of various NDE data acquisition techniques and procedures. A proof-of-concept demonstration is detailed in Reference [7], where the objective was set to tracking the minimum remaining thickness within a defined tolerance. The study introduces a metric called the unreliability function (URF) to quantify the reliability of inspection and monitoring schemes. Using an ensemble of realisations that mimic field measurement characteristics, the study evaluates the reliability of three strategies: surface scanning, monitoring with permanently installed sensors, and a hybrid approach combining surface scanning with movable monitoring sensors. For the given scenario, the findings reveal that partial surface scanning followed by sensor repositioning/optimisation creates a hybrid strategy that substantially improves performance despite reduced operational demands: fewer sensors per location, limited coverage, and longer inspection cycles.

Conclusion and Outlook

Although manual inspection will continue to play an essential role in ensuring the structural integrity of critical infrastructure, advances in automation and robotics now make it feasible for an increasing proportion of inspection and monitoring activities to be performed automatically. In practice, adopting a hybrid inspection–monitoring strategy provides a promising means of optimising data collection and enhancing overall asset integrity.

The framework presented here outlines a structured approach
for evaluating hybrid inspection-monitoring schemes that
leverage recent advances in robotics, sensing, and modelling.
By clearly defining the interfaces between corrosion modelling, data acquisition, and performance evaluation, it supports the development of more flexible surveillance methods for industrial assets. Successful implementation requires coordinated efforts among corrosion engineers/scientists, NDE engineers, asset owners, and regulators. Key priorities include adapting models to specific industrial settings, validating performance through field studies, and developing accessible tools for practitioners. This progression from theoretical framework to practical implementation will enhance operational safety, asset availability, and economic efficiency.

References

1. J. Turcotte et al., “Comparison corrosion mapping solutions using phased array, conventional UT and 3D scanners,” 19th World Conference on Non-Destructive Testing (WCNDT 2016), 13-17 June 2016 in Munich, Germany. e-Journal of Nondestructive Testing Vol. 21(7). https://www.ndt.net/?id=19236.

2. V. P. Nikhil et al., “Flaw detection and monitoring over corroded surface through ultrasonic c-scan imaging,” Engineering Research Express, vol. 2 no.1, pp. 015010, jan 2020.
https://doi.org/10.1088/2631-8695/ab618d.

3. F. B. Cegla et al., “High-temperature (>500°c) wall thickness monitoring using dry coupled ultrasonic waveguide transducers,” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 58, no. 1, pp. 156–167, 2011. https://doi.org/10.1109/TUFFC.2011.1782.

4. C. H. Zhong et al., “Investigation of Inductively Coupled Ultrasonic Transducer System for NDE”. IEEE Transactions
on Ultrasonics, Ferroelectrics, and Frequency Control, vol.
60, no. 6, pp. 1115–1125, 2013. https://doi.org/10.1109/TUFFC.2013.2674.

5. V. Ivan et al., “Autonomous non-destructive remote robotic inspection of offshore assets,” In Proc. OTC Offshore Technology Conference, May 2020, pp. D011S006R003. https://doi.
org/10.4043/30754-MS.

6. M. D. Silva et al., “Using External Automated Ultrasonic Inspection (C-Scan) for Mapping Internal Corrosion on Offshore Caissons,” In Proc. Offshore Technology Conference Brasil, 2023, pp. D031S033R001. https://doi.org/10.4043/32907-MS.

7. Y. Zhang and F. Cegla, “Quantitative evaluation of the reliability of hybrid corrosion inspection and monitoring approaches,” NDT & E Int., 2025, pp. 103527. https://doi.org/10.1016/j. ndteint.2025.103527.

8. Y. Zhang and F. Cegla, “Mon ami – monitoring and inspection strategy assessment investigation tool”. Accessed: July 18, 2025. https://www.pogo.software/monami/index.html.

9. S. F. Burch, “Precision thickness measurements for corrosion monitoring: initial recommendations and trial results”, HOIS, vol. 11, R3, no. 1, 2011.

10. S. Mark, “HOIS recommended practice for statistical analysis of inspection data – issue 1”, HOIS, 2013.

11. R. Howard and F. Cegla, “The effect of pits of different sizes
on ultrasonic shear wave signals,” in Proc. AIP Conference Proceedings, Aug. 2018, https://doi.org/10.1063/1.5031544.

12. D. Benstock et al., “The influence of surface roughness on ultrasonic thickness measurements”. The Journal of the Acoustical Society of America, 2014, vol. 136, no. 6, pp.3028–3039. https://doi.org/10.1121/1.4900565.