Abstract: This paper presents the derivation, verification, and application of sampling-based reliability sensitivities. The direct differentiation method is employed to develop the analytical derivatives of the failure probability, ...

Abstract: This study introduces tractable algorithms to model the decentralized decision-making process for postdisaster restoration of interdependent networks. Restoration strategies are devised by a host of agents, who control ...

Abstract: This study presents a framework that utilizes Bayesian regression to create probabilistic cost models for retrofit actions. Performance improvement is the key parameter introduced in the proposed framework. The incorporation ...