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Application of Multidisciplinary Community Resilience Modeling to Reduce Disaster Risk: Building Back Better
Journal of Performance of Constructed Facilities
  • Wanting "lisa" Wang
  • John W. Van De Lindt
  • Blythe Johnston
  • P. Shane Crawford
  • Guirong Grace Yan, Missouri University of Science and Technology
  • Thang Dao
  • Trung Do
  • Katie Skakel
  • Mojtaba Harati
  • Tu Nguyen
  • Robinson Umeike
  • Silvana Croope
  • Andre R. Barbosa
Abstract

From december 10 to december 11, 2021, a deadly tornado outbreak struck across several states in the us, including arkansas, illinois, kentucky, and tennessee. This tornado outbreak resulted in at least $3.9 Billion in damage, more than 90 fatalities, and hundreds of injuries. Mayfield, kentucky, a small city in the eastern united states, was hit by a long-track tornado rated as an enhanced fujita 4 (ef4) scale and was one of the communities most heavily damaged during the tornado outbreak. Following the 2021 tornado event, an analysis was performed in the interdependent networked community resilience modeling environment (in-core) for the city of mayfield to investigate a design code change for residential structures and its effect on communitywide metrics related to functionality and dislocation. Specifically, the in-core modeling environment was used to hindcast the community-level building damage and forecast the community-level building recovery in mayfield for residential buildings. This required the development of a mayfield test bed for in-core with a focus on buildings. The generalization of multidisciplinary community resilience modeling from a test bed community to a real community impacted by a recent major tornado event is intended to benchmark that in-core has a strong potential and capability to forecast/hindcast community resilience and provide what-if scenarios for decision makers, city planners, and stakeholders in communities with similar sizes.

Department(s)
Civil, Architectural and Environmental Engineering
Keywords and Phrases
  • Building design changes,
  • Disaster recovery,
  • Forecast,
  • Hindcast,
  • Residential buildings,
  • Tornado resilience
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 American Society of Civil Engineers, All rights reserved.
Publication Date
6-1-2024
Publication Date
01 Jun 2024
Citation Information
Wanting "lisa" Wang, John W. Van De Lindt, Blythe Johnston, P. Shane Crawford, et al.. "Application of Multidisciplinary Community Resilience Modeling to Reduce Disaster Risk: Building Back Better" Journal of Performance of Constructed Facilities Vol. 38 Iss. 3 (2024) ISSN: 1943-5509; 0887-3828
Available at: http://works.bepress.com/guirong-yan/84/