Robust topology optimization of truss structures with random loading and material properties: A multiobjective perspective

被引：47

作者：

Richardson, James N. ^{[1
,3
]}

Coelho, Rajan Filomeno ^{[1
]}

Adriaenssens, Sigrid ^{[2
]}

机构：

[1] Univ Libre Bruxelles, Brussels Sch Engn, BATir Bldg Architecture & Town Planning, B-1050 Brussels, Belgium

[2] Princeton Univ, Dept Civil & Environm Engn, Engn Quadrangle E332, Princeton, NJ 08544 USA

[3] Vrije Univ Brussel, Fac Engn Sci, MEMC Mech Mat & Construct, B-1050 Brussels, Belgium

来源：

COMPUTERS & STRUCTURES | 2015年 / 154卷

关键词：

Truss topology optimization; Robust optimization; Genetic algorithms; Spectral stochastic finite element method; DESIGN OPTIMIZATION; POLYNOMIAL CHAOS; UNCERTAINTY;

D O I：

10.1016/j.compstruc.2015.03.011

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper an approach to robust topology optimization for truss structures with material and loading uncertainties, and discrete design variables, is investigated. Uncertainties on the loading, and spatially correlated material stiffness, are included in the problem formulation, taking truss element length into account. A more realistic random field representation of the material uncertainties is achieved, compared to classical scalar random variable approaches. A multiobjective approach is used to generate Pareto optimal solutions showing how the mean and standard deviation of the compliance can be considered as separate objectives, avoiding the need for an arbitrary combination factor. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：41 / 47

页数：7

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