Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Global optimization of robust truss topology via mixed integer semidefinite programming
Abstract This paper discusses a global optimization method of robust truss topology under the load uncertainties and slenderness constraints of the member cross-sectional areas. We consider a non-stochastic uncertainty of the external load, and attempt to minimize the maximum compliance corresponding to the most critical load. A design-dependent uncertainty model in the external load is proposed in order to consider the variation of truss topology rigorously. It is shown that this optimization problem can be formulated as a 0–1 mixed integer semidefinite programming (0–1MISDP) problem. We propose a branch-and-bound method for computing the global optimal solution of the 0–1MISDP. Numerical examples illustrate that the topology of robust optimal truss depends on the magnitude of uncertainty. The presented method can provide global optimal solutions for benchmark examples, which can be used for evaluating the performance of any other local optimization method for robust structural optimization.
Global optimization of robust truss topology via mixed integer semidefinite programming
Abstract This paper discusses a global optimization method of robust truss topology under the load uncertainties and slenderness constraints of the member cross-sectional areas. We consider a non-stochastic uncertainty of the external load, and attempt to minimize the maximum compliance corresponding to the most critical load. A design-dependent uncertainty model in the external load is proposed in order to consider the variation of truss topology rigorously. It is shown that this optimization problem can be formulated as a 0–1 mixed integer semidefinite programming (0–1MISDP) problem. We propose a branch-and-bound method for computing the global optimal solution of the 0–1MISDP. Numerical examples illustrate that the topology of robust optimal truss depends on the magnitude of uncertainty. The presented method can provide global optimal solutions for benchmark examples, which can be used for evaluating the performance of any other local optimization method for robust structural optimization.
Global optimization of robust truss topology via mixed integer semidefinite programming
Yonekura, Kazuo (Autor:in) / Kanno, Yoshihiro (Autor:in)
2010
Aufsatz (Zeitschrift)
Englisch
Global optimization of robust truss topology via mixed integer semidefinite programming
Springer Verlag | 2010
|British Library Online Contents | 2015
|Bridging mixed integer linear programming for truss topology optimization and additive manufacturing
Springer Verlag | 2021
|Redundant robust topology optimization of truss
Springer Verlag | 2013
|Redundant robust topology optimization of truss
Online Contents | 2013
|