Technical Papers
Dec 26, 2019

Time-Dependent Resilience Assessment of Seismic Damage and Restoration of Interdependent Lifeline Systems

Publication: Journal of Infrastructure Systems
Volume 26, Issue 1

Abstract

A simulation of the resilience of lifeline systems in a test bed subjected to a series of seismic events is presented in this paper. The simulation framework is comprised of a group of independent simulators that interact through a publish–subscribe pattern for data management. The framework addresses the spatial and time-dependent interactions that arise between lifeline systems as a hazard and subsequent restoration processes unfold. The simulation results quantify how operability loss and recovery time may be underestimated if the interdependencies between lifeline systems are not properly taken into account. The effect of insufficient resources on recovery was investigated, and it was demonstrated that among the six resource allocation strategies studied, the time-varying strategies that are responsive to actual conditions on the ground had a better effect on resilience. This paper demonstrates the power of connecting simulators using the publish–subscribe method in order to account for multiscale interdependency and time-dependent effects on community resilience.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

Acknowledgments

This work was supported by the University of Michigan and the US National Science Foundation (NSF) through Grant No. ACI-1638186. Any opinions, findings, conclusions, and recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the sponsors.

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Go to Journal of Infrastructure Systems
Journal of Infrastructure Systems
Volume 26Issue 1March 2020

History

Received: Jan 21, 2019
Accepted: Jul 15, 2019
Published online: Dec 26, 2019
Published in print: Mar 1, 2020
Discussion open until: May 26, 2020

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Authors

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Ph.D. Student, Dept. of Civil and Environmental Engineering, Univ. of Michigan, Ann Arbor, MI 48109-2125 (corresponding author). ORCID: https://orcid.org/0000-0001-5369-2571. Email: [email protected]
Professor, Dept. of Civil and Environmental Engineering, Univ. of Michigan, Ann Arbor, MI 48109-2125. ORCID: https://orcid.org/0000-0001-6437-5176. Email: [email protected]

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