Stress constraints sensitivity analysis in structural topology optimization

被引:46
作者
Paris, J. [1 ]
Navarrina, F. [1 ]
Colominas, I. [1 ]
Casteleiro, M. [1 ]
机构
[1] Univ A Coruna, Grp Numer Methods Engn, Dept Appl Math, La Coruna 15071, Spain
关键词
Topology optimization; Minimum weight approach; Stress constraints; Sensitivity analysis; Finite element method; CONTINUUM STRUCTURES; RELAXATION;
D O I
10.1016/j.cma.2010.03.010
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Sensitivity Analysis is an essential issue in the structural optimization field. The calculation of the derivatives of the most relevant quantities (displacements, stresses, strains) in optimum design of structures allows to estimate the structural response when changes in the design variables are introduced. This essential information is used by the most frequent conventional optimization algorithms (SLP, MMA, Feasible directions) in order to reach the optimal solution. According to this idea, the Sensitivity Analysis of the stress constraints in Topology Optimization problems is a crucial aspect to obtain the optimal solution when stress constraints are considered. Maximum stiffness approaches usually involve one linear constraint and one non-linear objective function. Thus, the computation of the required sensitivity analysis does not mean a crucial limitation. However, in the topology optimization problem with stress constraints, efficient and accurate computation of the derivatives is needed in order to reach appropriate optimal solutions. In this paper, a complete analytic and efficient procedure to obtain the Sensitivity Analysis of the stress constraints in topology optimization of continuum structures is analyzed. First order derivatives and second order directional derivatives of the stress constraints are analyzed and included in the optimization procedure. In addition, topology optimization problems usually involve thousands of design variables and constraints. Thus, an efficient implementation of the algorithms used in the computation of the Sensitivity Analysis is developed in order to reduce the computational cost required. Finally, the sensitivity analysis techniques presented in this paper are tested by solving some application examples. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:2110 / 2122
页数:13
相关论文
共 34 条
[11]   Analytical benchmarks for topological optimization IV: square-shaped line support [J].
Lewinski, T. ;
Rozvany, G. I. N. .
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2008, 36 (02) :143-158
[12]   Exact analytical solutions for some popular benchmark problems in topology optimization III:: L-shaped domains [J].
Lewinski, T. ;
Rozvany, G. I. N. .
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2008, 35 (02) :165-174
[13]   Optimal selectin of topologies for the minimum-weight design of continuum structures with stress constraints [J].
Liang, QQ ;
Xie, YM ;
Steven, GP .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 1999, 213 (08) :755-762
[14]  
MARTINS JRR, 2005, WCSM06 P 6 WORLD C S
[15]   The limits of economy of material in frame-structures. [J].
Michell, A. G. M. .
PHILOSOPHICAL MAGAZINE, 1904, 8 (43-48) :589-597
[16]   Topology optimization of structures:: A minimum weight approach with stress constraints [J].
Navarrina, F ;
Muiños, I ;
Colominas, I ;
Casteleiro, M .
ADVANCES IN ENGINEERING SOFTWARE, 2005, 36 (09) :599-606
[17]  
Navarrina F, 2001, STRUCT MAT, V10, P247
[18]   A GENERAL METHODOLOGICAL ANALYSIS FOR OPTIMUM DESIGN [J].
NAVARRINA, F ;
CASTELEIRO, M .
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 1991, 31 (01) :85-111
[19]   High order shape design sensitivity:: a unified approach [J].
Navarrina, F ;
López-Fontán, S ;
Colominas, I ;
Bendito, E ;
Casteleiro, M .
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2000, 188 (04) :681-696
[20]   Block aggregation of stress constraints in topology optimization of structures [J].
Paris, J. ;
Navarrina, F. ;
Colominas, I. ;
Casteleiro, M. .
COMPUTER AIDED OPTIMUM DESIGN IN ENGINEERING X, 2007, 91 :25-+