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Sustainability-Oriented Optimization and Decision Making of Community Buildings under Seismic Hazard

Author

Listed:
  • Ghazanfar Ali Anwar

    (Center for Advances in Reliability and Safety, New Territories, Hong Kong, China)

  • Mudasir Hussain

    (Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China)

  • Muhammad Zeshan Akber

    (Center for Advances in Reliability and Safety, New Territories, Hong Kong, China)

  • Mustesin Ali Khan

    (Fire Safety Engineering, University of Central Lancashire, Doha 999043, Qatar)

  • Aatif Ali Khan

    (Department of Civil and Natural Resources Engineering, University of Canterbury Christchurch, Christchurch 8140, New Zealand)

Abstract

Optimization and decision-making tools are often utilized to enhance the performance of community buildings under extreme events, but this may compromise the ability of future generations to enhance performance. Hence, a sustainability-oriented approach is required to enhance the performance of community buildings under extreme events. In this context, this paper proposes an optimization and decision-making framework considering multiple performance indicators, including socioeconomic and environmental consequences as well as retrofit costs. These performance indicators are assessed by utilizing performance-based assessment methodologies in terms of sustainability dimensions. The performance indicators are then exploited as multiple performance objectives in a genetic optimization to determine the Pareto optimal solutions. Finally, the Pareto optimal solutions are utilized for decision making to extract ideal solutions for the given retrofit costs. The ideal solutions provide trade-offs between the consequences of extreme events and the retrofit costs required to reduce the consequences of extreme events.

Suggested Citation

  • Ghazanfar Ali Anwar & Mudasir Hussain & Muhammad Zeshan Akber & Mustesin Ali Khan & Aatif Ali Khan, 2023. "Sustainability-Oriented Optimization and Decision Making of Community Buildings under Seismic Hazard," Sustainability, MDPI, vol. 15(5), pages 1-21, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4385-:d:1084646
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    References listed on IDEAS

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    Cited by:

    1. Anwar, Ghazanfar Ali & Zhang, Xiaoge, 2024. "Deep reinforcement learning for intelligent risk optimization of buildings under hazard," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
    2. Saddam Aziz & Cheung-Ming Lai & Ka Hong Loo, 2023. "Performance of an Adaptive Optimization Paradigm for Optimal Operation of a Mono-Switch Class E Induction Heating Application," Mathematics, MDPI, vol. 11(13), pages 1-18, July.
    3. Lei Zhang & Xin Huang & Hui Sun, 2024. "Study on Multi-Index Evaluation Technology of Seismic Performance of Green Ecological Building Structure," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), IGI Global, vol. 18(1), pages 1-12, January.

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