Author: Anwar, Ghazanfar Ali
Title: Resilience-based seismic performance of individual buildings and community portfolios
Advisors: Dong, You (CEE)
Zhu, Songye (CEE)
Degree: Ph.D.
Year: 2022
Subject: Earthquake hazard analysis
Emergency management -- Mathematical models
Disaster relief -- Planning
Hong Kong Polytechnic University -- Dissertations
Department: Department of Civil and Environmental Engineering
Pages: xxvii, 240 pages : color illustrations
Language: English
Abstract: The vulnerability of the built environment to natural hazards has increased in recent decades due to the growing population, increased construction activities, and climate change, among others. This exposure to natural hazards and resulting consequences are projected to increase substantially by the end of the century. The existing building portfolios and infrastructure systems are already vulnerable to extreme events and are likely to be increased in the future due to the aging of existing structures, non-conformance to updated codes, and changing future hazard scenarios. This is evident from past hazards such as the 1994 Northridge and 1995 Kobe earthquakes, in which the buildings provided intended life safety function but still incur huge damage to the structures resulting in significant socioeconomic and environmental consequences due to repair activities and reduced functionality of buildings. The reduced functionality due to the relatively un-organized recovery process of building portfolios as observed in recent hazards including the 2004 Sumatra-Andaman earthquake and tsunami and 2005 hurricane Katrina has further highlighted the need to assess and possibly enhance the performance of the community building portfolios.
Hence, it is essential to develop frameworks and methodologies that can better predict the socioeconomic and environmental consequences of extreme events. These uncertain consequences could be assembled into meaningful performance indicators including risk, resilience, and sustainability. Also, there is a need to better assess these performance indicators on buildings and community portfolio-level. Furthermore, there is a need to improve the performance of considered infrastructure systems and the built environment by considering different mitigation alternatives. Finally, a decision-making framework is required to provide optimal solutions to reduce the uncertain consequences given the least mitigation costs.
This thesis aim to provide methodologies and frameworks for the mathematical modeling of buildings and community portfolios by considering risk, resilience, and sustainability performance indicators under seismic hazard scenarios. The highlighted problems and research gaps are addressed in this thesis in different chapters, divided into two parts and three stages. Part 1 is focused on providing mathematical models for individual buildings and part 2 is focused on community building portfolios. Each part is further divided into three stages depending upon the type of problem addressed. For instance, stage 1 of each part is focused on the performance assessment methodologies under seismic hazard considering multiple performance indicators, stage 2 is focused on the performance enhancement frameworks and methods under seismic hazard by implementing conventional retrofit tools and techniques, and stage 3 is focused on developing decision-making methodologies by implementing strategies established in the first two stages and including multi-criteria optimization and decision-making methods.
Hence, the proposed frameworks include performance assessments, enhancements, and decision-making for buildings and community building portfolios under seismic hazard scenarios considering various methodologies, theories, algorithms, tools, and techniques including a building-level framework for risk, resilience, and sustainability assessment, seismic resilience enhancement considering conventional retrofit techniques, performance-based assessment and enhancement methodologies, resilience assessment framework on a community building portfolio-level considering utility networks, interactions, and access to essential facilities, and the performance-based assessment and enhancement methodologies for surrogate-based optimization and decision-making of buildings on a community level.
These assessments, enhancement, and decision-making frameworks are illustrated on individual buildings and on community portfolios to demonstrate their potential, significance, and applicability. Finally, the conclusions and recommendations are made and future works, prospects, and potential future directions are suggested.
Rights: All rights reserved
Access: open access

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/12242