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Multi-hazard vulnerability modeling: an example of wind and rain vulnerability of mid/high-rise buildings during hurricane events

  • Zhuoxuan Wei (Mechanical and Civil Engineering Department, Florida Institute of Technology, 150 W. University Blvd.) ;
  • Jean-Paul Pinelli (Mechanical and Civil Engineering Department, Florida Institute of Technology, 150 W. University Blvd.) ;
  • Kurtis Gurley (Engineering School of Sustainable Infrastructure & Environment, University of Florida) ;
  • Shahid Hamid (Department of Finance, College of Business, Florida International University, Modesto A. Maidique Campus)
  • Received : 2023.12.10
  • Accepted : 2024.03.03
  • Published : 2024.05.25
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Abstract

Severe natural multi-hazard events can cause damage to infrastructure and economic losses of billions of dollars. The challenges of modeling these losses include dependency between hazards, cause and sequence of loss, and lack of available data. This paper presents and explores multi-hazard loss modeling in the context of the combined wind and rain vulnerability of mid/high-rise buildings during hurricane events. A component-based probabilistic vulnerability model provides the framework to test and contrast two different approaches to treat the multi-hazards: In one, the wind and rain hazard models are both decoupled from the vulnerability model. In the other, only the wind hazard is decoupled, while the rain hazard model is embedded into the vulnerability model. The paper presents the mathematical and conceptual development of each approach, example outputs from each for the same scenario, and a discussion of weaknesses and strengths of each approach.

Keywords

Acknowledgement

The National Science Foundation supports the Center for Wind Hazard and Infrastructure Performance (WHIP-C) through grant # 1841523, and the Industrial Advisory Board of the WHIP-C supported this work through grant number WHIP2020_06. The Florida Office of Insurance Regulation (FOIR) also supported part of this work. The opinions, findings, and conclusions presented in this paper are those of the author alone, and do not necessarily represent the views of the NSF or the WHIP-C or the FOIR.

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