Probabilistic-based General Framework of Modeling Engineering System Resilience  
Author Mengmeng Zhu




Abstract Many adverse events are inevitable, such as hurricanes. Engineering system, in general, has been designed with reliability-driven principle. However, such a design principle easily leads to a great increase in manufacturing and operational costs because of the uncertainty characteristic of undesired events. It is thus needed to focus on the ability of the system to recover after adverse events occurred. This study focused on the development of a theoretical foundation of resilience for engineering systems with the probabilistic approach. In particular, our proposed resilience metric provides a general framework of modeling system recovery after disruption by answering: first, can the disrupted system be recovered? Second, how much and how quickly will the disrupted system be recovered? The proposed resilience metric is applied to vehicular edge computing networks by considering multiple disruptions on the communication links among vehicles.


Keywords Recovery, resilience model, uncertainty, vehicular edge computing network
    Article #:  RQD26-284

Proceedings of 26th ISSAT International Conference on Reliability & Quality in Design
Virtual Event

August 5-7, 2021