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Simulation model for simple yet robust resilience assessment metrics for engineered systems

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  • Patriarca, Riccardo
  • De Paolis, Alessandro
  • Costantino, Francesco
  • Di Gravio, Giulio

Abstract

Modelling system properties is a central step to carry out time-dependant simulations of system’ s operating conditions. In this paper, we present a simulation model combined with simple metrics that focus on system's resilience at a technical level, represented through absorption, adaptation and recovery. Following the techno-centric perspective of this research, the components’ reliability is considered as the main performance of interest for the analysis. When a failure occurs following a certain probability, performance is restored after a specified recovery time. This latter is a stochastic variable that relies on recovery functions specific for every component. The model has been applied in a case study referred to a hot water generation plant for hospitals. The case study shows how the model allows depicting performance levels and its flexibility for multiple management strategies, supporting what-if scenarios analyses.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:reensy:v:209:y:2021:i:c:s0951832021000351
    DOI: 10.1016/j.ress.2021.107467
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    References listed on IDEAS

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    3. Hui Xu & Shuxiu Li & Yongtao Tan & Bin Xing, 2022. "Comprehensive Resilience Assessment of Complex Urban Public Spaces: A Perspective of Promoting Sustainability," Land, MDPI, vol. 11(6), pages 1-23, June.
    4. Zhang, Xi & Tu, Haicheng & Guo, Jianbo & Ma, Shicong & Li, Zhen & Xia, Yongxiang & Tse, Chi Kong, 2021. "Braess paradox and double-loop optimization method to enhance power grid resilience," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    5. 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).
    6. Geng, Sunyue & Liu, Sifeng & Fang, Zhigeng, 2022. "A demand-based framework for resilience assessment of multistate networks under disruptions," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    7. Caputo, A.C. & Donati, L. & Salini, P., 2023. "Estimating resilience of manufacturing plants to physical disruptions: Model and application," International Journal of Production Economics, Elsevier, vol. 266(C).
    8. Sun, Hao & Yang, Ming & Zio, Enrico & Li, Xinhong & Lin, Xiaofei & Huang, Xinjie & Wu, Qun, 2024. "A simulation-based approach for resilience assessment of process system: A case of LNG terminal system," Reliability Engineering and System Safety, Elsevier, vol. 249(C).

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