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contributor authorWanting “Lisa” Wang
contributor authorJohn W. van de Lindt
contributor authorBlythe Johnston
contributor authorP. Shane Crawford
contributor authorGuirong Yan
contributor authorThang Dao
contributor authorTrung Do
contributor authorKatie Skakel
contributor authorMojtaba Harati
contributor authorTu Nguyen
contributor authorRobinson Umeike
contributor authorSilvana Croope
contributor authorAndre R. Barbosa
date accessioned2024-04-27T22:26:15Z
date available2024-04-27T22:26:15Z
date issued2024/06/01
identifier other10.1061-JPCFEV.CFENG-4650.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4296651
description abstractFrom 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.
publisherASCE
titleApplication of Multidisciplinary Community Resilience Modeling to Reduce Disaster Risk: Building Back Better
typeJournal Article
journal volume38
journal issue3
journal titleJournal of Performance of Constructed Facilities
identifier doi10.1061/JPCFEV.CFENG-4650
journal fristpage04024012-1
journal lastpage04024012-12
page12
treeJournal of Performance of Constructed Facilities:;2024:;Volume ( 038 ):;issue: 003
contenttypeFulltext


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