AI-enabled damage estimation of hurricane-impacted residential communities through CFD simulations and stratified sampling-Reference-Cited by-同舟云学术

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AI-enabled damage estimation of hurricane-impacted residential communities through CFD simulations and stratified sampling

Published:2024-08 Issue: Volume:251 Page:105806
ISSN:0167-6105
Container-title:Journal of Wind Engineering and Industrial Aerodynamics
language:en
Short-container-title:Journal of Wind Engineering and Industrial Aerodynamics

Author:

Kim Sejin^ORCID,Ding Fei,Spence Seymour M.J.^ORCID

Funder

National Science Foundation

National Research Foundation of Korea

Ministry of Education

Publisher

Elsevier BV

Reference39 articles.

1. Exogenous windborne debris: Definition and required extent of surrounding buildings for modeling in hurricanes;Abdelhady;Eng. Struct.,2022

2. Risk and fragility assessment of residential wooden buildings subject to hurricane winds;Abdelhady;Struct. Saf.,2022

3. A three-dimensional six-degree-of-freedom windborne debris trajectory model for tornadoes;Abdelhady;J. Wind Eng. Ind. Aerod.,2021

4. A framework for the probabilistic quantification of the resilience of communities to hurricane winds;Abdelhady;J. Wind Eng. Ind. Aerod.,2020

5. Quantitative insight into rational tornado design wind speeds for residential wood-frame structures using fragility approach;Amini;J. Struct. Eng.,2014

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