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Uncertainty Analysis of Corroded Reinfor

J. Sobhnai, A.A. Ramezanianpour

2026encorrosionreinforced concreteuncertaintyfuzzyoptimization

Abstract

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In this paper, a new methodology is presented to study the corrosion of reinforced concrete (RC) structures in chloride-laden environments under concerned uncertainties. To address the involved uncertainties, fuzzy random variables are employed. An effective computational procedure called α-level optimization is introduced and utilized for analyzing the fundamental equations related to the corrosion process. The proposed system aims to predict the various life cycles of corrosion-affected RC structures. Additionally, an illustrative example is provided to demonstrate the applicability of the proposed method in assessing the service life of RC beams. The study highlights the significance of developing a model that incorporates uncertainties in both random and fuzzy aspects, given the prevalent problem of chloride-induced corrosion affecting many RC infrastructures, particularly in harsh environments.

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Cite This Work

@article{a3ae01e0-dcc7-4bc0-94fe-c1b4ed79d339,
  title={Uncertainty Analysis of Corroded Reinfor},
  author={J. Sobhnai and A.A. Ramezanianpour},
  year={2026},
  language={en}
}
TY  - JOUR
TI  - Uncertainty Analysis of Corroded Reinfor
AU  - J. Sobhnai
AU  - A.A. Ramezanianpour
PY  - 2026
LA  - en
ER  -

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