Reliability-based optimization considering design variables of discrete size

被引:15
|
作者
Valdebenito, M. A. [1 ]
Schueeller, G. I. [1 ]
机构
[1] Univ Innsbruck, Inst Engn Mech, A-6020 Innsbruck, Austria
基金
奥地利科学基金会;
关键词
Reliability-based optimization; Discrete design variables; Meta-model; Sequential approximations; Advanced simulation methods; Linear expansion; OPTIMAL STRUCTURAL DESIGN; EVOLUTION STRATEGIES; CRITICAL-APPRAISAL; NEURAL-NETWORKS; HIGH DIMENSIONS; ALGORITHMS; UNCERTAINTY; EXCITATION; CRITERIA; SYSTEMS;
D O I
10.1016/j.engstruct.2010.05.011
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This contribution presents an approach for performing reliability-based optimization (RBO) with emphasis on the treatment of discrete design variables. The key idea of the proposed approach is the construction of an approximate representation of the structural reliability (i.e. a meta-model for reliability). This allows replacing the original RBO problem with a series of approximate yet accurate subproblems. These approximate subproblems can be solved most efficiently using any appropriate optimization method. Application examples involving the design of steel frames illustrate the features of the proposed approach. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2919 / 2930
页数:12
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