Time-dependent structural performance analysis of RC slab exposed to chloride attack by incorporating spatial variability

Supasit Srivaranun, Keisuke Masuda, Mitsuyoshi Akiyama, Dan M. Frangopol

Research output: Contribution to conferencePaper

Abstract

It is well recognized that the material properties of a reinforced concrete (RC) structure and its dimensions are random due to the spatial variability associated with workmanship, environment and other factors. This randomness causes spatially corrosion damages such as corrosion crack, cover spalling and steel corrosion. Therefore, it is of great importance to simulate deterioration processes of RC structures in a stochastic field context. In this paper, based on a probabilistic model for steel corrosion in RC structures, steel corrosion distributions over RC slab is estimated using 2D Gaussian stochastic fields. In an illustrative example, a time-dependent structural performance of RC slab represented by the stochastic field was estimated using 2D nonlinear finite element method.

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

Fingerprint Dive into the research topics of 'Time-dependent structural performance analysis of RC slab exposed to chloride attack by incorporating spatial variability'. Together they form a unique fingerprint.

  • Cite this

    Srivaranun, S., Masuda, K., Akiyama, M., & Frangopol, D. M. (2019). Time-dependent structural performance analysis of RC slab exposed to chloride attack by incorporating spatial variability. Paper presented at 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019, Seoul, Korea, Republic of.