Abstract
Hurricanes or typhoons are multi-hazard events that usually result in strong winds, storm surge, waves, and debris flow. A community-level multi-hazard hurricane risk analysis approach is proposed herein to account for the combined impacts of hazards driven by hurricanes including surge, wave, and wind. A tightly coupled ADCIRC and SWAN model is used to account for the surge and wave hazard. Community-level exposure analysis is conducted using a portfolio of building archetypes associated with each hazard. A building-level hurricane vulnerability model is developed using fragility functions to account for content, building envelope, and structural damage. These fragility functions calculate the exceedance probability of predefined damage states associated with each hazard. Then, a building damage state is calculated based on the maximum probability of being in each damage state corresponding to each hazard. The proposed hurricane risk model is then applied to Waveland, Mississippi, a community that was severely impacted by Hurricane Katrina in 2005. The main contribution of this research is modeling the community-level hurricane vulnerability in terms of damage to the building envelope and interior contents driven by surge, wave, and wind using fragility functions to provide a comprehensive model for resilience-informed decision-making.
Recommended Citation
O. M. Nofal et al., "Multi Hazard Hurricane Vulnerability Model to Enable Resilence Informed Decision," Proceedings of the 11th International Structural Engineering and Construction Conference, ISEC21 (2021: Jul. 26-31, Cairo, Egypt), vol. 8, no. 1, pp. RAD - 1, ISEC Press, Jul 2021.
The definitive version is available at https://doi.org/10.14455/ISEC.2021.8(1).RAD-01
Meeting Name
11th International Structural Engineering and Construction Conference, ISEC21 (2021: Jul. 26-31, Cairo, Egypt)
Department(s)
Civil, Architectural and Environmental Engineering
Keywords and Phrases
Community Resilience; Hurricane Damage; Hurricane Losses; Hurricane Risk; Hurricane Surge; Hurricane Waves
International Standard Serial Number (ISSN)
2644-108X
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2021 The Authors, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Publication Date
31 Jul 2021
Comments
This research was funded by the National Science Foundation (NSF) Coastlines and People program under Grant numbers 1940119, 1940192, 1940127 and that support is gratefully acknowledged.