Modeling spatial variability of steel corrosion using Gumbel distribution

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

Research output: Contribution to conferencePaper

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 languageEnglish
Publication statusPublished - 2019 Jan 1
Event13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019 - Seoul, Korea, Republic of
Duration: 2019 May 262019 May 30

Conference

Conference13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019
CountryKorea, Republic of
CitySeoul
Period19/5/2619/5/30

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Statistics and Probability

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  • Cite this

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