Technical Papers
Mar 8, 2021

Dysfunctionality Hazard Curve: Risk-Based Tool to Support the Resilient Design of Systems Subjected to Multihazards

Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 7, Issue 2

Abstract

While resilience metrics have been proposed and studied given a functionality recovery curve, they have not emphasized enough on accounting for the uncertainties in multihazard occurrences and intensities. Moreover, these resilience metrics are not risk-based (i.e., they do not express the system’s resilience loss as a frequency of exceedance), leading to inconsistencies in system performance description when compared to performance-based engineering frameworks. A risk-based tool termed the dysfunctionality hazard curve is proposed to assess the resilience of systems subjected to single hazards or multihazards with interevent dependencies. The dysfunctionality hazard curve expresses system resilience performance as frequency of exceedance of time to full functionality. In doing so, it characterizes system recovery as a sequence of repair activities and also considers the uncertainties in the multihazard occurrences and intensities. The dysfunctionality hazard curve is demonstrated for a residential building susceptible to earthquake and hurricane hazards. Results indicate that the dysfunctionality hazard curve for earthquakes is greater than that for hurricane winds under single hazards. Under multihazards, considering interevent dependencies during system recovery rather than ignoring them leads to a larger dysfunctionality hazard curve. Finally, the concept of the dysfunctionality hazard curve is also extended to a system-of-systems consisting of residential and commercial buildings.

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Data Availability Statement

Some or all data, models, or code generated or used during the study are available in a repository online in accordance with funder data retention policies. Link to the online repository: https://github.com/somu15/Disf_Hazard.

Acknowledgments

Two anonymous reviewers are thanked for their valuable comments that have improved the quality of this paper.

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Go to ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 7Issue 2June 2021

History

Received: Aug 11, 2020
Accepted: Dec 15, 2020
Published online: Mar 8, 2021
Published in print: Jun 1, 2021
Discussion open until: Aug 8, 2021

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Somayajulu L. N. Dhulipala, A.M.ASCE https://orcid.org/0000-0002-0801-4250 [email protected]
Computational Postdoctoral Researcher, Facility Risk Group, Idaho National Laboratory, Idaho Falls, ID 83402. ORCID: https://orcid.org/0000-0002-0801-4250. Email: [email protected]

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