Estimation of Maximum Depth of Localized Corrosion by Extreme Value Analysis

俊夫, 柴田

doi:10.3323/jcorr1974.37.12_768

Corrosion Engineering

1988

DOI: 10.3323/jcorr1974.37.12_768

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Estimation of Maximum Depth of Localized Corrosion by Extreme Value Analysis

柴田俊夫¹

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2023

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Evaluation of Spatial Characteristics of Corroded Situations in Service Steel Sheet Piles by Applying Geostatistics

Hagiwara

YOKOBORI

Shimamoto

et al. 2023

J. Soc. Mat. Sci., Japan

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The corrosion degradation of the steel sheet pile material accelerates in recent years. The extremely accelerated corrosion induces the thickness loss and decreases the mechanical characteristics. It is essential to evaluate the corroded situations for the design and maintenance of the infrastructures. In this study, the spatial characteristics of the corrosion loss in service steel sheet pile canals were evaluated by the geostatistics with the variogram and kriging. In experimental procedures, steel sheet pile thicknesses were measured in service drainage canals. The thickness sampling was conducted in the air, tidal, water, sludge and soil zones. In analytical procedures, the variogram analysis is conducted for modeling of the spatial structures of the corrosion loss distribution. The ordinary kriging based on the theoretical variogram interpolates the no-sampling area. As a result, the thickness profile shows the largest corrosion loss in the tidal zone. The kriging interpolation shows the acceleration of the corrosion in the flanges of the tidal zone.

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Evaluation of Spatial Characteristics of Corroded Situations in Service Steel Sheet Piles by Applying Geostatistics

Hagiwara

YOKOBORI

Shimamoto

et al. 2023

J. Soc. Mat. Sci., Japan

View full text Add to dashboard Cite

show abstract

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Estimation of Maximum Depth of Localized Corrosion by Extreme Value Analysis

Cited by 1 publication

References 1 publication

Evaluation of Spatial Characteristics of Corroded Situations in Service Steel Sheet Piles by Applying Geostatistics

Evaluation of Spatial Characteristics of Corroded Situations in Service Steel Sheet Piles by Applying Geostatistics

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