Resilience assessment of dynamic engineering systems

Omar Kammouh, Paolo Gardoni, Gian Paolo Cimellaro*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Resilience indicators are a convenient tool to assess the resilience of engineering systems. They are often used in preliminary designs or in the assessment of complex systems. This paper introduces a novel approach to assess the time-dependent resilience of engineering systems using resilience indicators. The temporal dimension is tackled in this work using the Dynamic Bayesian Network (DBN). DBN extends the classical BN by adding the time dimension. It permits the interaction among variables at different time steps. It can be used to track the evolution of a system’s performance given an evidence recorded at a previous time step. This allows predicting the resilience state of a system given its initial condition. A mathematical probabilistic framework based on the DBN is developed to model the resilience of dynamic engineering systems. A case study is presented in the paper to demonstrate the applicability of the introduced framework.
Original languageEnglish
Article number01008
Number of pages7
JournalMATEC Web of Conferences
Volume281
DOIs
Publication statusPublished - 2019
Externally publishedYes

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