PDF

Uncertainty Analysis of Corroded Reinfor

J. Sobhnai, A.A. Ramezanianpour

2026encorrosionreinforced concreteuncertaintyfuzzyoptimization

Abstract

Language:

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.

Download

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  -

Similar Items

Constructing reliable clean energy facility network under ambiguous distribution information

Qiansa Wang, Yanjiao Wang

In the context of the transition from clean energy to sustainable development, as an emerging low-carbon energy carrier, hydrogen is of crucial import

2025enPDF

Calibrated uncertainty quantification for prosumer flexibility aggregation in ancillary service markets

Yogesh Pipada, S. Ali Pourmousavi

Reliable forecasting of prosumer flexibility is critical for demand response aggregators participating in frequency controlled ancillary service marke

2025enPDF

Bridging the climate to energy data gap: simulated annealing for representative climate year selection

Bram van Duinen, Karin van der Wiel

Energy system models are increasingly dependent on representative climate input. Yet, a fundamental mismatch persists between the hundreds of simulate

2026enPDF

BLAST FURNACE IRONMAKING: Analysis, Control, and Optimization

Ian Cameron, Mitren Sukhram

This book delves into the intricate processes involved in blast furnace ironmaking, emphasizing the analysis, control, and optimization of operations.

2020enPDF

Tariffs, energy contracts, and optimal Distributed Energy Resources investment in campus microgrids

Juan Manuel Alemany, Bruno Bignotti

Large institutional electricity consumers such as university campuses face a planning problem that cannot be reduced to photovoltaic sizing alone. The

2026esPDF

Metal Casting Processes

Unknown, Unknown

This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu

2023enPDF