Application of accelerated cyclic test with synthetic ocean water salt-deposition process to the evaluation on corrosion characteristics of weathering steel

Jiang, Feng; Hirohata, Mikihito; Liu, Jia; Ojima, Kazuki

doi:10.1080/1478422x.2022.2056286

Cited by 5 publications

(10 citation statements)

References 9 publications

(14 reference statements)

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“…In this study, ISO 16539 Method B was used. Our recent research 10) also confirmed that the method is a good simulation of the real corrosion en- vironment. Fig.…”

Section: Methodssupporting

confidence: 74%

“…The experimental data we obtained by the previous study is explained 10) . Unpainted steel plates of SM400A, SM490A, SMA400AW, and SMA490AW, were used in this research.…”

Section: Specimenmentioning

confidence: 99%

“…Engelhardt et al used the extremum statistic to predict the progression of localized corrosion damage 9) . In our previous research 10) , The appearance of corrosion surfaces was analysed with a semi-variable model of geostatistical analysis. Kainuma et al developed an approach based on localized corrosion of steel members to predict the return thickness and the penetration period of steel plates 11) .…”

Section: Introductionmentioning

confidence: 99%

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Geostatistical Analysis and Deep Learning Based Prediction for Corrosion Surfaces of Steel Plates

Jiang

Hirohata

2023

Journal of JSCE

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The assessment of corrosion damage is an essential part of the maintenance of steel structures. The numerical analysis of the properties of corrosion surfaces and the accurate prediction of corrosion surfaces are of great significance. In this study, four kinds of unpainted steel plates, SM400A, SM490A, SMA400AW, and SMA490AW, were used for corrosion experiments under the artificial seawater corrosive environment ISO 16539 Method B, and two atmospheric exposure environments in different regions. The corrosion depths of the steel plates were measured by a laser focus measurement system. Semi-variogram was used in the geostatistical analysis to investigate the spatial autocorrelation structure of the corrosion surfaces. By using this method and the ordinary kriging technique, a method was proposed to simulate the spatial characteristics of the corrosion surfaces. The simulation results indicated that the corrosion depth and surface morphology of the corrosion surface were in high agreement with the experimental results. In addition, a deep learning model based on generative adversarial network (GAN) was used to build a prediction model of the corrosion surface. The spatial properties of the prediction model were verified using the geostatistical analysis method proposed in this study, and the results showed that the predictions had the same spatial properties as the actual corrosion surface.

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“…In this study, ISO 16539 Method B was used. Our recent research 10) also confirmed that the method is a good simulation of the real corrosion en- vironment. Fig.…”

Section: Methodssupporting

confidence: 74%

“…The experimental data we obtained by the previous study is explained 10) . Unpainted steel plates of SM400A, SM490A, SMA400AW, and SMA490AW, were used in this research.…”

Section: Specimenmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Geostatistical Analysis and Deep Learning Based Prediction for Corrosion Surfaces of Steel Plates

Jiang

Hirohata

2023

Journal of JSCE

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“…The first process entails exposing the specimens to a controlled environment of 35°C and 47°C salt mist for a total of 56 h following the ASTM B-117-19 standard [32]. The second method is the cyclic salt spray test, which involves three stages of testing: wetting, drying, and transition as per the study by Jiang et al [33]. Figure 6 depicts the cycle being executed.…”

Section: Coating Characterisationmentioning

confidence: 99%

Flexural and corrosion behaviour of WC-10Co-4Cr + Graphene sprayed on textured HSLA-steel

Shrivastava

Kumar

Verma

et al. 2023

Surface Engineering

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The aim of this work was to investigate the flexural strength and corrosion behaviour of graphene-reinforced WC-10Co-4Cr HVOF coating on sandblasted and laser-textured DH-36 naval-grade steel. In this regard, WC-10Co-4Cr and WC-10Co-4Cr + 3% graphene nanoparticles (GNPs) are applied on DH-36 substrates using the HVOF coating technique and their microhardness, flexural strength and corrosion behaviour are investigated. Amongst all, the flexural strength of WC-10Co-4Cr + 3%GNPs coating on laser-textured sample with pitch-to-diameter (p/d) ratio 2 was minimum (327.006 MPa) due to the effect of GNPs and better mechanical interlocking at the coating-substrate interface. Also, the corrosion resistance of coated DH-36 steel was evaluated by salt spray test; it revealed that corrosion resistance was improved with the application of WC-10Co-4Cr coating, which was further enhanced by the addition of GNPs as GNP has the property of being impermeable to gasses and salts. Further, microstructures and morphologies of the corroded surface were investigated using FE-SEM images.

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“…In this section, the relationship between the spatial statistical values and the mean corrosion depth for two types of steel in differing corrosion environments was examined. According to previous studies, their relationship can be approximated by certain functions [17]. The spatial statistics values and average corrosion depths obtained from the long-duration accelerated test (168 days) might be excessively large for comparison with the atmospheric test from one year, and any model fitting for range or sill is likely to yield similar outcomes.…”

Section: Relationship Between Mean Corrosion Depth and Spatial Statis...mentioning

confidence: 99%

An analysis on spatial properties of corroded surface of weathering steel by different environmental conditions

Feng,

Mikihito,

Kazuki

et al. 2023

Corrosion Engineering, Science and Technology

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This study examined the spatial characteristics of the corroded surface of weathering steel by different environmental conditions to evaluate the applicability of two accelerated corrosion tests. Two types of weathering steel were subjected to the two accelerated corrosion tests for 28, 84, and 168 days. The same materials were also exposed at two separate locations for 180 and 365 days of atmospheric exposure tests. The corrosion behavior of the weathering steel was investigated by spatial statistical analysis. The analysis suggested that the spatial properties of the corrosion of weathering steel experimented in the early stage of both accelerated corrosion tests were close to those obtained in the atmospheric exposure tests. Furthermore, the corroded surfaces experimented under the ISO 16539 Method B accelerated corrosion test demonstrated a closer resemblance to the corroded surfaces of weathering steel in real corrosion environments compared to those derived from the Cyclic Corrosion Test Method A.

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Application of accelerated cyclic test with synthetic ocean water salt-deposition process to the evaluation on corrosion characteristics of weathering steel

Cited by 5 publications

References 9 publications

Geostatistical Analysis and Deep Learning Based Prediction for Corrosion Surfaces of Steel Plates

Geostatistical Analysis and Deep Learning Based Prediction for Corrosion Surfaces of Steel Plates

Flexural and corrosion behaviour of WC-10Co-4Cr + Graphene sprayed on textured HSLA-steel

An analysis on spatial properties of corroded surface of weathering steel by different environmental conditions

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