Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/102589
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Civil and Environmental Engineeringen_US
dc.creatorDong, Yen_US
dc.creatorFrangopol, DMen_US
dc.date.accessioned2023-10-26T07:19:41Z-
dc.date.available2023-10-26T07:19:41Z-
dc.identifier.issn0887-3828en_US
dc.identifier.urihttp://hdl.handle.net/10397/102589-
dc.language.isoenen_US
dc.publisherAmerican Society of Civil Engineersen_US
dc.rights© 2017 American Society of Civil Engineers.en_US
dc.rightsThis material may be downloaded for personal use only. Any other use requires prior permission of the American Society of Civil Engineers. This material may be found at https://ascelibrary.org/doi/10.1061/(ASCE)CF.1943-5509.0001088.en_US
dc.subjectAdaptationen_US
dc.subjectClimate changeen_US
dc.subjectHurricanesen_US
dc.subjectLifecycle lossen_US
dc.subjectOptimizationen_US
dc.subjectResidential buildingsen_US
dc.titleAdaptation optimization of residential buildings under hurricane threat considering climate change in a lifecycle contexten_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume31en_US
dc.identifier.issue6en_US
dc.identifier.doi10.1061/(ASCE)CF.1943-5509.0001088en_US
dcterms.abstractDue to urbanization, the number of residential buildings in coastal areas has increased significantly. Additionally, due to the increase in sea surface temperature associated with climate change, the intensity and frequency of hurricanes has also increased substantially. This paper presents a systematic framework for the optimal adaptation of residential buildings at a large scale under various scenarios of impending climate change during a long-term interval. Different adaptation strategies are investigated to ensure adequate structural performance and to mitigate the damage loss and adverse consequences to society. A genetic algorithm-based optimization process is adopted to determine the optimal adaptation types associated with buildings within an investigated region. The framework considers the probabilistic occurrence models of hurricanes, structural vulnerability of typical residential buildings, possible climate change scenarios, and optimization of various climate adaptation strategies in a lifecycle context. The proposed approach is illustrated on residential buildings located in Miami-Dade County, Florida.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of performance of constructed facilities, Dec. 2017, v. 31, no. 6, 04017099en_US
dcterms.isPartOfJournal of performance of constructed facilitiesen_US
dcterms.issued2017-12-
dc.identifier.scopus2-s2.0-85028546003-
dc.identifier.eissn1943-5509en_US
dc.identifier.artn04017099en_US
dc.description.validate202310 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberCEE-2048-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Science Foundation (NSF); Commonwealth of Pennsylvania, Department of Community and Economic Development; U.S. Federal Highway Administrationen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6777232-
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Dong_Adaptation_Optimization_Residential.pdfPre-Published version3.32 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

100
Last Week
4
Last month
Citations as of Nov 9, 2025

Downloads

98
Citations as of Nov 9, 2025

SCOPUSTM   
Citations

19
Citations as of Dec 19, 2025

WEB OF SCIENCETM
Citations

15
Citations as of Dec 18, 2025

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.