详情

原文传递 Integrated Structural-Nonstructural Performance-Based Seismic Design and Retrofit Optimization of Buildings

题名：	Integrated Structural-Nonstructural Performance-Based Seismic Design and Retrofit Optimization of Buildings
正文语种：	英文
作者：	Paul Steneker, S.M.ASCE; Andre Filiatrault, M.ASCE; Lydell Wiebe, M.ASCE;Dimitrios Konstantinidis, M.ASCE
作者单位：	McMaster Univ;University at Buffalo State Univ
关键词：	Performance-based earthquake engineering; Holistic seismic design; FEMA P-5& Cost-benefit analysis; Genetic algorithm; Design optimization
摘要：	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 momentresisting 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.
出版日期：	2020
出版年：	2020
期刊名称：	Journal of Structural Engineering
卷：	Vol.146
期：	No.08
页码：	04020141