Adaptation Optimization of Residential Buildings under Hurricane Threat Considering Climate Change in a Lifecycle Context
Publication: Journal of Performance of Constructed Facilities
Volume 31, Issue 6
Abstract
Due 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.
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Acknowledgments
The support from (1) the National Science Foundation (NSF) through Grant CMMI-1537926, (2) the Commonwealth of Pennsylvania, Department of Community and Economic Development, through the Pennsylvania Infrastructure Technology Alliance (PITA), and (3) the U.S. Federal Highway Administration (FHWA) Cooperative Agreement Award DTFH61-07-H-00040 is gratefully acknowledged. The opinions and conclusions presented in this paper are those of the authors and do not necessarily reflect the views of the sponsoring organizations.
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Published In
Journal of Performance of Constructed Facilities
Volume 31 • Issue 6 • December 2017
Copyright
©2017 American Society of Civil Engineers.
History
Received: Nov 4, 2016
Accepted: May 3, 2017
Published online: Aug 28, 2017
Published in print: Dec 1, 2017
Discussion open until: Jan 28, 2018
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