Modeling spatial variability of steel corrosion using Gumbel distribution

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

研究成果: Paper

抄録

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.

元の言語English
出版物ステータスPublished - 2019 1 1
イベント13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019 - Seoul, Korea, Republic of
継続期間: 2019 5 262019 5 30

Conference

Conference13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019
Korea, Republic of
Seoul
期間19/5/2619/5/30

Fingerprint

Gumbel Distribution
Spatial Variability
Steel corrosion
Corrosion
Steel
Current density
Modeling
Concrete construction
Service life
Concrete Structures
Experimental Study
Experiments
Estimate
Experiment

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Statistics and Probability

これを引用

Zhang, M., Lim, S., Akiyama, M., & Frangopol, D. M. (2019). Modeling spatial variability of steel corrosion using Gumbel distribution. 論文発表場所 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019, Seoul, Korea, Republic of.

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

2019. 論文発表場所 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019, Seoul, Korea, Republic of.

研究成果: Paper

Zhang, M, Lim, S, Akiyama, M & Frangopol, DM 2019, 'Modeling spatial variability of steel corrosion using Gumbel distribution', 論文発表場所 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019, Seoul, Korea, Republic of, 19/5/26 - 19/5/30.
Zhang M, Lim S, Akiyama M, Frangopol DM. Modeling spatial variability of steel corrosion using Gumbel distribution. 2019. 論文発表場所 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019, Seoul, Korea, Republic of.
Zhang, Mingyang ; Lim, Sopokhem ; Akiyama, Mitsuyoshi ; Frangopol, Dan M. / Modeling spatial variability of steel corrosion using Gumbel distribution. 論文発表場所 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019, Seoul, Korea, Republic of.
@conference{666f95a513e64ab78573b4856d38940a,
title = "Modeling spatial variability of steel corrosion using Gumbel distribution",
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.",
author = "Mingyang Zhang and Sopokhem Lim and Mitsuyoshi Akiyama and Frangopol, {Dan M.}",
year = "2019",
month = "1",
day = "1",
language = "English",
note = "13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019 ; Conference date: 26-05-2019 Through 30-05-2019",

}

TY - CONF

T1 - Modeling spatial variability of steel corrosion using Gumbel distribution

AU - Zhang, Mingyang

AU - Lim, Sopokhem

AU - Akiyama, Mitsuyoshi

AU - Frangopol, Dan M.

PY - 2019/1/1

Y1 - 2019/1/1

N2 - 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.

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.

UR - http://www.scopus.com/inward/record.url?scp=85071043672&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85071043672&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:85071043672

ER -