Development of Reliability-Redundancy-Recoverability-based Decision Optimization (R3-DO) for Disaster Resilience of Structural Systems
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Seonghyun Lim, Jungho Kim, Junho Song, Development of Reliability-Redundancy-Recoverability-based Decision Optimization (R3-DO) for Disaster Resilience of Structural Systems, 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), Dublin, Ireland, 2023.Download Item:
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To achieve a sufficient level of disaster resilience based on a holistic understanding of the system-level risk, a system-reliability-based evaluation framework was recently proposed. The framework characterizes the disaster resilience of a civil infrastructure system by the capabilities of the components, system, and society, described by the three criteria: reliability, redundancy, and recoverability. The system-level risk caused by each initial disruption scenario is evaluated by the reliability-redundancy analysis. To incorporate the resilience assessment framework into decision-making, this study develops reliability-redundancy-recoverability-based decision optimization (R3-DO). R3-DO aims to minimize the objective function representing recoverability while satisfying the probabilistic constraints assuring a socially-acceptable system-level risk, confirmed by the reliability-redundancy analysis. The sequential compounding method (SCM) and SCM-based parameter sensitivity calculations are employed to compute the resilience criteria and parameter sensitivities during the optimization process. A numerical example of a 25-member-truss structure system is introduced to test the applicability and performance of the R3-DO method under development.
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