Modeling spatial variability of steel corrosion using Gumbel distribution

Mingyang Zhang; Sopokhem Lim; Mitsuyoshi Akiyama; Dan M. Frangopol

Modeling spatial variability of steel corrosion using Gumbel distribution

Mingyang Zhang, Sopokhem Lim, Mitsuyoshi Akiyama, Dan M. Frangopol

School of Creative Science and Engineering

Research output: Contribution to conference › Paper › peer-review

1 Citation (Scopus)

Abstract

Performance of corrosion-affected RC structures depends on the spatial variability of steel corrosion of reinforcing bars. The effect of spatial variability of steel corrosion on the remaining service life of concrete structures is significant. In this paper, an experimental study was conducted to investigate the effect of current density on the spatial variability of steel corrosion. This variability is modeled using Gumbel distribution derived from experiments and incorporated with FE method to estimate the yield loading capacity of RC beams. The results show that using Gumbel distribution parameters derived from the specimens with high current density may lead to an overestimation of load capacity of corroded RC beams.

Original language	English
Publication status	Published - 2019 Jan 1
Event	13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019 - Seoul, Korea, Republic of Duration: 2019 May 26 → 2019 May 30

Conference

Conference	13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019
Country	Korea, Republic of
City	Seoul
Period	19/5/26 → 19/5/30

ASJC Scopus subject areas

Civil and Structural Engineering
Statistics and Probability

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Modeling spatial variability of steel corrosion using Gumbel distribution. / Zhang, Mingyang; Lim, Sopokhem ; Akiyama, Mitsuyoshi; Frangopol, Dan M.

2019. Paper presented at 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019, Seoul, Korea, Republic of.

Research output: Contribution to conference › Paper › peer-review

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abstract = "Performance of corrosion-affected RC structures depends on the spatial variability of steel corrosion of reinforcing bars. The effect of spatial variability of steel corrosion on the remaining service life of concrete structures is significant. In this paper, an experimental study was conducted to investigate the effect of current density on the spatial variability of steel corrosion. This variability is modeled using Gumbel distribution derived from experiments and incorporated with FE method to estimate the yield loading capacity of RC beams. The results show that using Gumbel distribution parameters derived from the specimens with high current density may lead to an overestimation of load capacity of corroded RC beams.",

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AB - Performance of corrosion-affected RC structures depends on the spatial variability of steel corrosion of reinforcing bars. The effect of spatial variability of steel corrosion on the remaining service life of concrete structures is significant. In this paper, an experimental study was conducted to investigate the effect of current density on the spatial variability of steel corrosion. This variability is modeled using Gumbel distribution derived from experiments and incorporated with FE method to estimate the yield loading capacity of RC beams. The results show that using Gumbel distribution parameters derived from the specimens with high current density may lead to an overestimation of load capacity of corroded RC beams.

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