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A mixed integer programming for robust truss topology optimization with stress constraints
Authors:Yoshihiro Kanno  Xu Guo
Affiliation:1. Department of Mathematical Informatics, University of Tokyo, Tokyo 113‐8656, Japan;2. State Key Laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian 116024, People's Republic of China
Abstract: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 © 2010 John Wiley & Sons, Ltd.
Keywords:topology optimization  robust optimization  mixed integer program  global optimization  stress constraints
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