A Probabilistic Framework for Resilience Quantification of Residential Building Portfolios Exposed to Tropical Cyclone Winds
Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 9, Issue 4
Abstract
Residential buildings in coastal areas often suffer from dramatic cyclone-induced damages. Resilience analysis is a powerful tool to quantify the object’s (e.g., a building portfolio’s) ability to withstand disruptive events. The key aspects include (1) the modeling of the recovery process in the aftermath of a cyclone event, which is intrinsically complex and is conditional on multiple factors (e.g., the available resources, the damage state immediately after a hazardous event), and (2) a reasonable index for resilience quantification that is capable of reflecting the asset owner/decision-maker’s requirement for the recovery process. In this paper, a new resilience measure is proposed that incorporates a requirement of anticipated recovery time (i.e., whether the recovery can be completed before the anticipated time) for the object. A novel framework for resilience quantification of residential building portfolios is also developed, which involves an optimal resource allocation strategy to maximize the resilience of building portfolios. The applicability of the proposed framework is illustrated through examining the resilience of a virtual community subjected to cyclone winds. The impacts of resourcefulness, wind field uncertainty, and correlation between building capacities on the building portfolio resilience are investigated.
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Data Availability Statement
All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
The research described in this paper was supported by the Vice-Chancellor’s Postdoctoral Research Fellowship from the University of Wollongong. This support is gratefully acknowledged. The authors would like to acknowledge the thoughtful suggestions of two anonymous reviewers, which substantially improved the present paper.
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Published In
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 9 • Issue 4 • December 2023
Copyright
© 2023 American Society of Civil Engineers.
History
Received: May 9, 2023
Accepted: Jul 26, 2023
Published online: Oct 4, 2023
Published in print: Dec 1, 2023
Discussion open until: Mar 4, 2024
ASCE Technical Topics:
- Buildings
- Climates
- Construction engineering
- Construction management
- Disaster risk management
- Disasters and hazards
- Engineering fundamentals
- Environmental engineering
- Field tests
- Hurricanes, typhoons, and cyclones
- Mathematics
- Natural disasters
- Probability
- Project management
- Residential buildings
- Resource allocation
- Structural engineering
- Structures (by type)
- Tests (by type)
- Tropical regions
- Wind engineering
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