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RISK-INFORMED MULTI-CRITERIA DECISION FRAMEWORK FOR RESILIENCE AND SUSTAINABILITY ASSESSMENT OF BUILDING STRUCTURES

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2020, Doctor of Philosophy, Case Western Reserve University, Civil Engineering.
Seismic risk has increased noticeably in the last decades due to rapid growth of earthquake-prone urban regions and deterioration of aging infrastructure. Meanwhile, mounting evidence of changing climate has reinforced experts’ efforts to develop new techniques for sustainable design of structures. Recent studies point to the need for an integrated approach to include both sustainability and resilience criteria in design of building environments. This dissertation integrates seismic resilience quantification methods with economic input-output life cycle assessment and whole-building energy simulation methods to present a new comprehensive decision model for design of building environments. A new multi-criteria decision framework is introduced to integrate various resilience and sustainability measures including asset loss, downtime, number of casualties, greenhouse gas emissions produced by construction, maintenance, and seismic repair, and annual energy consumption and cost. The risk in decision analysis in addition to vulnerability and loss analyses are included via a combined model using analytic hierarchy process, multi-attribute utility theory, and Technique for order preference by similarity to ideal solution (TOPSIS) methods. Results show that with a multi-criteria approach, the benefits of sustainable design techniques can outweigh possible shortcomings in structural performance. The proposed framework is implemented on a series of steel diagrid and reinforced concrete buildings. A comprehensive investigation into the nonlinear dynamic performance of steel diagrids is also conducted and new seismic performance criteria are developed for loss estimation. Diagrids are found to have a substantial collapse capacity but, the non-structural loss due to large maximum absolute floor acceleration may increase expected total loss. Lastly, a new framework is introduced for resilience quantification and rapid safety evaluation of building structures using data obtained from a localized health monitoring system. The framework uses three-dimensional functionality functions based on asset, occupancy, and serviceability losses to quantify a new resilience index. An autoregressive exogenous damage identification model is used to detect, locate, and measure damage in the structure. Minor damages due to corrosion and major damages due to past earthquakes are both studied.
Yu Li, PhD (Advisor)
Xiong (Bill) Yu, PhD, PE (Committee Member)
Wojbor Woyczynski, PhD (Committee Member)
Michael Pollino, PhD, PE, SE (Committee Member)
296 p.

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Citations

  • Asadi, E. (2020). RISK-INFORMED MULTI-CRITERIA DECISION FRAMEWORK FOR RESILIENCE AND SUSTAINABILITY ASSESSMENT OF BUILDING STRUCTURES [Doctoral dissertation, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1575381834399844

    APA Style (7th edition)

  • Asadi, Esmaeel. RISK-INFORMED MULTI-CRITERIA DECISION FRAMEWORK FOR RESILIENCE AND SUSTAINABILITY ASSESSMENT OF BUILDING STRUCTURES. 2020. Case Western Reserve University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1575381834399844.

    MLA Style (8th edition)

  • Asadi, Esmaeel. "RISK-INFORMED MULTI-CRITERIA DECISION FRAMEWORK FOR RESILIENCE AND SUSTAINABILITY ASSESSMENT OF BUILDING STRUCTURES." Doctoral dissertation, Case Western Reserve University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1575381834399844

    Chicago Manual of Style (17th edition)