Optimal Design Under Uncertainty of Reinforced Concrete Structures Using System Reliability Approach

Abstract

The design of reinforced concrete (RC) structures involves several kinds of uncertainties, which are usually considered through the partial safety factors prescribed in the codes of practice. The traditional design optimization of RC structures uses deterministic information of the problem. The partial safety factors are used to consider loading fluctuation and the variability of material properties. The use of these safety factors in deterministic optimization usually leads to over-designing structures, as these safety factors are calibrated for a large class of structures. In the deterministic optimization procedure the reliability cannot be controlled. For this reason, the Reliability-Based Design Optimization (RBDO) is devoted to design economical and reliable structures. However, the RBDO problem involves the evaluation of probabilistic constraints performed by the reliability analysis. The most common RBDO formulations are based on a nested optimization problem, with an outer loop for the design optimization and an inner loop for the reliability analysis. Therefore, an expensive computation effort is required to solve the RBDO problem. In this paper, a new RBDO method of RC structures is proposed. The RBDO problem is decomposed to several cycles of deterministic design optimization (DDO) based on new safety factors called Optimal System Safety Factors (OSSF). At each cycle of the DDO, the system reliability analysis is performed to verify the reliability of the optimal design, the OSSF are computed by a probabilistic method on the basis of the previous system reliability analysis, then the updated OSSF are provided for the next cycle of the DDO. The application to the design of an RC structure shows the interest and the efficiency of the proposed method.

Time-dependent reliability assessment and optimal design of corroded reinforced concrete beams

“…The distribution parameters for this analysis, obtained from various sources (Aoues et al, 2009; Bastidas-Arteaga et al, 2008; El Hassan et al, 2010; Mohammadi Farsani and Keshtegar, 2015; Shao et al, 2018; Weyers et al, 2003; Zhang et al, 2015), are summarized in Table 2.…”

Special Issue Dedicated to the 1st International Symposium on Uncertainty Quantification and Stochastic Modeling (Uncertainties 2012)

“…Based on their contributions and editorial guidelines, selected presenters were invited to prepare full papers for publication in this special issue. All manuscripts underwent scientific and technical peer review according to the journal standards.The contributions in this special issue include studies on model reduction for dynamics of complex structures using a probabilistic approach (Batou and Soize, 2013), reliability-based design optimization of reinforced concrete structures (Aoues et al, 2013), multi-stage bayesian framework for prediction of porous media flow (Ginting et al, 2013), effect of uncertainties on the performance of discrete spatial modal filters (Trindade et al, 2013), and designpoint excitation for crack propagation under random loading (Moustapha et al, 2013).In conclusion, we thank the authors for their valuable contributions and also the reviewers for their comments, which undoubtedly improved the formal and technical value of the articles presented in this special issue.…”

“…The contributions in this special issue include studies on model reduction for dynamics of complex structures using a probabilistic approach (Batou and Soize, 2013), reliability-based design optimization of reinforced concrete structures (Aoues et al, 2013), multi-stage bayesian framework for prediction of porous media flow (Ginting et al, 2013), effect of uncertainties on the performance of discrete spatial modal filters (Trindade et al, 2013), and designpoint excitation for crack propagation under random loading (Moustapha et al, 2013).…”