A demand-based framework for resilience assessment of multistate networks under disruptions

Sunyue Geng, Sifeng Liu and Zhigeng Fang

Reliability Engineering and System Safety, 2022, vol. 222, issue C

Abstract: Multistate networks composed of many independent components are susceptible to natural disasters and intentional attacks. Resilience is described as the capability of keeping and enhancing the required functionality under disruptions, which is of great importance to design and analyze multistate networks. While the resilience engineering community makes great contributions to resilience assessment, approaches for measuring network performance are limited and the practical demand of users is neglected in multistate networks. This paper proposes a demand-based framework for resilience assessment under disruptions in order to address these issues. After specifying network structure with the help of reliability block diagram, component behavior is modeled as a Markov reward process. Both the probability of staying in a particular state and the cost of recovery actions can be calculated. Furthermore, network performance with multiple levels is quantified using universal generating function. Finally, network resilience is comprehensively evaluated from the perspectives of absorption, adaptation and recovery. Besides assessing overall resilience with the consideration of network demand, the proposed framework conducts quantitative analysis of multistate networks. A case study of the potable water network is used to demonstrate the applicability of the proposed framework.

Keywords: Multistate networks; Resilience assessment; Markov reward process; Universal generating function (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832022000928
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:222:y:2022:i:c:s0951832022000928

DOI: 10.1016/j.ress.2022.108423

Access Statistics for this article

Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares

More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().