A mixed integer programming for robust truss topology optimization with stress constraints

被引:38
|
作者
Kanno, Yoshihiro [1 ]
Guo, Xu [2 ]
机构
[1] Univ Tokyo, Grad Sch Informat Sci & Technol, Dept Math Informat, Tokyo 1138656, Japan
[2] Dalian Univ Technol, Dept Engn Mech, State Key Lab Struct Anal Ind Equipment, Dalian 116024, Peoples R China
关键词
topology optimization; robust optimization; mixed integer program; global optimization; stress constraints; STRUCTURAL DESIGN; UNCERTAIN LOADS; CONVEX MODELS; OPTIMALITY; VARIABLES;
D O I
10.1002/nme.2871
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper presents a mixed integer programming (MIP) formulation for robust topology optimization of trusses subjected to the stress constraints under the uncertain load. A design-dependent uncertainty model of the external load is proposed for dealing with the variation of truss topology in the course of optimization. For a truss with the discrete member cross-sectional areas, it is shown that the robust topology optimization problem can be reduced to an MIP problem, which is solved globally. Numerical examples illustrate that the robust optimal topology of a truss depends on the magnitude of uncertainty. Copyright (C) 2010 John Wiley & Sons, Ltd.
引用
收藏
页码:1675 / 1699
页数:25
相关论文
共 50 条