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A simple yet robust resilience assessment metrics

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  • Yarveisy, Rioshar
  • Gao, Chuan
  • Khan, Faisal

Abstract

The concept of resilience has its roots in a multitude of disciplines, from ecology to social sciences, psychology, and economics. Despite the rich history of the resilience concept, engineering resilience is still in its infancy. There is a growing interest to understand better and improve the resilience performance of engineering systems. This demands more reliable and widely accepted methods of measuring, assessing, and monitoring resilience. In the past decade, few definitions and frameworks for resilience quantification were proposed. However, most of these methods serve a specific application. This paper takes a fresh look at definitions of resilience and its measurement. It offers a new set of metrics based on the concept of reliability and maintainability combined with the system modeling approach. The proposed metrics are explained and tested implementing numeric simulations in addition to a case study.

Suggested Citation

  • Yarveisy, Rioshar & Gao, Chuan & Khan, Faisal, 2020. "A simple yet robust resilience assessment metrics," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    • Handle: RePEc:eee:reensy:v:197:y:2020:i:c:s0951832019300687
    DOI: 10.1016/j.ress.2020.106810
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    8. Geng, Sunyue & Yang, Ming & Mitici, Mihaela & Liu, Sifeng, 2023. "A resilience assessment framework for complex engineered systems using graphical evaluation and review technique (GERT)," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    9. Chen, Chao & Yang, Ming & Reniers, Genserik, 2021. "A dynamic stochastic methodology for quantifying HAZMAT storage resilience," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    10. Patriarca, Riccardo & De Paolis, Alessandro & Costantino, Francesco & Di Gravio, Giulio, 2021. "Simulation model for simple yet robust resilience assessment metrics for engineered systems," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    11. Ali Nouri Qarahasanlou & Ali Zamani & Abbas Barabadi & Mahdi Mokhberdoran, 2021. "Resilience Assessment: A Performance-Based Importance Measure," Energies, MDPI, vol. 14(22), pages 1-16, November.
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    13. Mottahedi, Adel & Sereshki, Farhang & Ataei, Mohammad & Qarahasanlou, Ali Nouri & Barabadi, Abbas, 2021. "Resilience estimation of critical infrastructure systems: Application of expert judgment," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    14. Cai, Baoping & Zhang, Yanping & Wang, Haifeng & Liu, Yonghong & Ji, Renjie & Gao, Chuntan & Kong, Xiangdi & Liu, Jing, 2021. "Resilience evaluation methodology of engineering systems with dynamic-Bayesian-network-based degradation and maintenance," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    15. Wu, Jingyi & Yu, Yang & Yu, Jianxing & Chang, Xueying & Xu, Lixin & Zhang, Wenhao, 2023. "A Markov resilience assessment framework for tension leg platform under mooring failure," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    16. Hossain, Eklas & Roy, Shidhartho & Mohammad, Naeem & Nawar, Nafiu & Dipta, Debopriya Roy, 2021. "Metrics and enhancement strategies for grid resilience and reliability during natural disasters," Applied Energy, Elsevier, vol. 290(C).
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    18. Zhang, Yanping & Cai, Baoping & Liu, Yiliu & Jiang, Qiangqiang & Li, Wenchao & Feng, Qiang & Liu, Yonghong & Liu, Guijie, 2021. "Resilience assessment approach of mechanical structure combining finite element models and dynamic Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    19. Wu, Jingyi & Yu, Yang & Jin, Zihang & Zhang, Wenhao, 2024. "Multi-dimensional resilience assessment framework of offshore structure under mooring failure," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
    20. Liu, Tao & Bai, Guanghan & Tao, Junyong & Zhang, Yun-An & Fang, Yining & Xu, Bei, 2022. "Modeling and evaluation method for resilience analysis of multi-state networks," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    21. Dong, Shangjia & Gao, Xinyu & Mostafavi, Ali & Gao, Jianxi & Gangwal, Utkarsh, 2023. "Characterizing resilience of flood-disrupted dynamic transportation network through the lens of link reliability and stability," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    22. Jiajun Ma & Guohua Chen & Tao Zeng & Lixing Zhou & Jie Zhao & Yuanfei Zhao, 2023. "Methodology for Resilience Assessment of Oil Pipeline Network System Exposed to Earthquake," Sustainability, MDPI, vol. 15(2), pages 1-20, January.
    23. Adel Mottahedi & Farhang Sereshki & Mohammad Ataei & Ali Nouri Qarahasanlou & Abbas Barabadi, 2021. "The Resilience of Critical Infrastructure Systems: A Systematic Literature Review," Energies, MDPI, vol. 14(6), pages 1-32, March.
    24. Ramadhani, Adhitya & Khan, Faisal & Colbourne, Bruce & Ahmed, Salim & Taleb-Berrouane, Mohammed, 2022. "Resilience assessment of offshore structures subjected to ice load considering complex dependencies," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    25. Wang, Shuliang & Lv, Wenzhuo & Zhang, Jianhua & Luan, Shengyang & Chen, Chen & Gu, Xifeng, 2021. "Method of power network critical nodes identification and robustness enhancement based on a cooperative framework," Reliability Engineering and System Safety, Elsevier, vol. 207(C).

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