An efficient sensitivity computation strategy for the evolutionary structural optimization (ESO) of continuum structures subjected to self-weight loads

被引:29
作者
Ansola, Ruben [1 ]
Canales, Javier [1 ]
Tarrago, Jose A. [1 ]
机构
[1] Univ Basque Country, Escuela Super Ingn, Dept Mech Engn, Bilbao 48013, Spain
关键词
optimization; finite elements; topology; evolutionary; self-weight;
D O I
10.1016/j.finel.2006.06.001
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This work presents a modified version of the evolutionary structural optimization procedure for topology optimization of continuum structures subjected to self-weight forces. Here we present an extension of this procedure to deal with maximum stiffness topology optimization of structures when different combinations of body forces and fixed loads are applied. Body forces depend on the density distribution over the design domain. Therefore, the value and direction of the loading are coupled to the shape of the structure and they change as the material layout of the structure is modified in the course of the optimization process. It win be shown that the traditional calculation of the sensitivity number used in the ESO procedure does not lead to the optimum solution. Therefore, it is necessary to correct the computation of the element sensitivity numbers in order to achieve the optimum design. This paper proposes an original correction factor to compute the sensitivities and enhance the convergence of the algorithm. The procedure has been implemented into a general optimization software and tested in several numerical applications and benchmark examples to illustrate and validate the approach, and satisfactorily applied to the solution of 2D, 3D and shell structures, considering self-weight load conditions. Solutions obtained with this method compare favourably with the results derived using the SIMP interpolation scheme. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:1220 / 1230
页数:11
相关论文
共 23 条
[1]  
Bendsoe M. P., 2004, Topology Optimization: Theory, Methods and Applications
[2]   GENERATING OPTIMAL TOPOLOGIES IN STRUCTURAL DESIGN USING A HOMOGENIZATION METHOD [J].
BENDSOE, MP ;
KIKUCHI, N .
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 1988, 71 (02) :197-224
[3]   Material interpolation schemes in topology optimization [J].
Bendsoe, MP ;
Sigmund, O .
ARCHIVE OF APPLIED MECHANICS, 1999, 69 (9-10) :635-654
[4]  
Bendsoe MP., 1989, STRUCTURAL OPTIMIZAT, V1, P193, DOI [10.1007/BF01650949, DOI 10.1007/BF01650949]
[5]   Note on topology optimization of continuum structures including self-weight [J].
Bruyneel, M ;
Duysinx, P .
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2005, 29 (04) :245-256
[6]   GENETIC ALGORITHMS AS AN APPROACH TO CONFIGURATION AND TOPOLOGY DESIGN [J].
CHAPMAN, CD ;
SAITOU, K ;
JAKIELA, MJ .
JOURNAL OF MECHANICAL DESIGN, 1994, 116 (04) :1005-1012
[7]   Evolutionary structural optimization for problems with stiffness constraints [J].
Chu, DN ;
Xie, YM ;
Hira, A ;
Steven, GP .
FINITE ELEMENTS IN ANALYSIS AND DESIGN, 1996, 21 (04) :239-251
[8]   SHAPE OPTIMIZATION OF STRUCTURES - A LITERATURE SURVEY [J].
DING, YL .
COMPUTERS & STRUCTURES, 1986, 24 (06) :985-1004
[9]   A new approach to variable-topology shape design using a constraint on perimeter [J].
Haber, RB ;
Jog, CS ;
Bendsoe, MP .
STRUCTURAL OPTIMIZATION, 1996, 11 (01) :1-12
[10]   STRUCTURAL SHAPE OPTIMIZATION - A SURVEY [J].
HAFTKA, RT ;
GRANDHI, RV .
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 1986, 57 (01) :91-106