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    Integrated Structural–Nonstructural Performance-Based Seismic Design and Retrofit Optimization of Buildings

    Source: Journal of Structural Engineering:;2020:;Volume ( 146 ):;issue: 008
    Author:
    Paul Steneker
    ,
    Andre Filiatrault
    ,
    Lydell Wiebe
    ,
    Dimitrios Konstantinidis
    DOI: 10.1061/(ASCE)ST.1943-541X.0002680
    Publisher: ASCE
    Abstract: The assessment of anticipated losses due to damage of both structural and nonstructural components is now recognized to be a key component in the performance-based seismic design or retrofit of buildings. Current performance-based seismic loss estimation procedures are building case-specific, and they do not easily allow for the integrated optimization of structural and nonstructural interventions in a particular building. The main objective of this paper is to develop a general optimization procedure within the performance-based earthquake engineering (PBEE) framework developed by the Pacific Earthquake Engineering Research (PEER) Center and implemented through the FEMA P-58 methodology. Available optimization procedures that can be applied to the PEER-PBEE framework are first reviewed, leading to the selection of the genetic algorithm for this purpose. The implementation of the genetic algorithm within the PEER-PBEE framework, considering integrated structural and nonstructural seismic upgrades, is described. The seismic retrofit case study of a 3-story steel moment-resisting frame archetype building is then conducted for the three different target metrics included in the PEER-PBEE framework: (1) an economic target metric, (2) a downtime target metric, and (3) a casualty-reduction target metric. The results of the case study indicate how this optimization process, based on the genetic algorithm, quickly and reliably converges to different allocations of resources for structural and nonstructural components depending on the target metric selected. Finally, a parametric study on the effects of the owner’s expected internal rate of return and building occupancy time on the optimum retrofit solutions illustrates the utility of the optimization process beyond the single case study.
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      Integrated Structural–Nonstructural Performance-Based Seismic Design and Retrofit Optimization of Buildings

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    contributor authorPaul Steneker
    contributor authorAndre Filiatrault
    contributor authorLydell Wiebe
    contributor authorDimitrios Konstantinidis
    date accessioned2022-01-30T21:04:03Z
    date available2022-01-30T21:04:03Z
    date issued8/1/2020 12:00:00 AM
    identifier other%28ASCE%29ST.1943-541X.0002680.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4267596
    description abstractThe assessment of anticipated losses due to damage of both structural and nonstructural components is now recognized to be a key component in the performance-based seismic design or retrofit of buildings. Current performance-based seismic loss estimation procedures are building case-specific, and they do not easily allow for the integrated optimization of structural and nonstructural interventions in a particular building. The main objective of this paper is to develop a general optimization procedure within the performance-based earthquake engineering (PBEE) framework developed by the Pacific Earthquake Engineering Research (PEER) Center and implemented through the FEMA P-58 methodology. Available optimization procedures that can be applied to the PEER-PBEE framework are first reviewed, leading to the selection of the genetic algorithm for this purpose. The implementation of the genetic algorithm within the PEER-PBEE framework, considering integrated structural and nonstructural seismic upgrades, is described. The seismic retrofit case study of a 3-story steel moment-resisting frame archetype building is then conducted for the three different target metrics included in the PEER-PBEE framework: (1) an economic target metric, (2) a downtime target metric, and (3) a casualty-reduction target metric. The results of the case study indicate how this optimization process, based on the genetic algorithm, quickly and reliably converges to different allocations of resources for structural and nonstructural components depending on the target metric selected. Finally, a parametric study on the effects of the owner’s expected internal rate of return and building occupancy time on the optimum retrofit solutions illustrates the utility of the optimization process beyond the single case study.
    publisherASCE
    titleIntegrated Structural–Nonstructural Performance-Based Seismic Design and Retrofit Optimization of Buildings
    typeJournal Paper
    journal volume146
    journal issue8
    journal titleJournal of Structural Engineering
    identifier doi10.1061/(ASCE)ST.1943-541X.0002680
    page13
    treeJournal of Structural Engineering:;2020:;Volume ( 146 ):;issue: 008
    contenttypeFulltext
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