Reliability analysis of corrosion initiation in reinforced concrete structures subjected to chlorides in presence of epistemic uncertainties. (September 2020)

• Record Type: Journal Article
• Authors: Hamidane, H'mida; Chateauneuf, Alaa; Messabhia, Ali; Ababneh, Ayman
• Is Part Of: Structural safety. Volume 86(2020)
• Publication Date: 2020-09
• Subjects: Corrosion -- Chloride penetration -- Epistemic uncertainty -- Fuzzy Monte Carlo simulation -- Reinforced concrete -- Reliability; Structural stability -- Periodicals; Safety factor in engineering -- Periodicals; Reliability (Engineering) -- Periodicals; Constructions -- Stabilité -- Périodiques; Coefficient de sécurité en ingénierie -- Périodiques; Fiabilité -- Périodiques; 620.86
• DOI: 10.1016/j.strusafe.2020.101976
• Languages: English
• ISSNs: 0167-4730

Abstract

Highlights: Epistemic uncertainties were modeled using fuzzy probability theory. Corrosion initiation was assessed using fuzzy Monte Carlo simulation. Environmental conditions were modeled stochastically. The time to corrosion initiation followed a generalized extreme value distribution. The stochastic modeling of exposure conditions accelerated the corrosion initiation. Epistemic uncertainties in the threshold chloride level are the most influencing. Abstract: This paper presents a methodology for assessing the corrosion initiation in reinforced concrete (RC) structures subjected to chlorides, with a focus on the influence of epistemic uncertainties inherent to input parameters. Epistemic uncertain parameters were modeled using fuzzy probability theory. The chloride penetration was modeled using a finite element solution of the coupled heat transfer, moisture and chloride transport in concrete. The environmental conditions were modeled using a stochastic process. The reliability analysis was undertaken using a hybrid fuzzy Monte Carlo simulation. As an illustration, the durability of concrete basins of a newly constructed waste water treatment plant, with respect to reinforcement corrosion, was examined. The time to corrosion initiation was found to approximately follow a generalized extreme value distribution with fuzzy parameters. The stochastic modeling of exposure conditions accelerated the corrosion initiation. The time to corrosion initiation is highly sensitive to the epistemic uncertainty in the threshold chloride level in concrete. Reducing this uncertainty will result in an important improvement in accuracy. The proposed method is suitable for durability assessment of recent RC structures with little or no available performance data.