Collaborative optimization of discrete structures based on a substructuring method

doi:10.16511/j.cnki.qhdxxb.2016.22.014

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Abstract A decomposition strategy based on substructuring is developed for optimizing complex discrete structures with a large number of design variables and a collaborative architecture is used as the solver. A large structure is decomposed into several small substructures with no overlap, where each substructure corresponds to a discipline. The variables, objectives and constraints in the original problem are assigned to the separate disciplines. Only one finite element analysis of the complete structure is performed at the system level during each iteration with optimization and finite element analyses of the substructures at the discipline levels. Coupled state variables are passed from the system level to the disciplines as constants. The coupled state variables are updated after each finite element analysis of the complete structure at the system level to coordinate the differences in the coupled state variables among disciplines. Thus, a complex structural optimization problem is decomposed into several parallel, self-governed subproblems. The results of numerical examples demonstrate that this cooperative optimization method requires less evaluations of the complete structure and is able to obtain better results with better stability than optimizing the complete structure as a whole.

Keywords discrete structure structural optimization substructuring method collaborative optimization

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TH123

Issue Date: 15 June 2016

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	ZHONG Wei
	SU Ruiyi
	GUI Liangjin
	FAN Zijie

Cite this article:

ZHONG Wei,SU Ruiyi,GUI Liangjin, et al. Collaborative optimization of discrete structures based on a substructuring method[J]. Journal of Tsinghua University(Science and Technology), 2016, 56(6): 572-579.

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http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2016.22.014 OR http://jst.tsinghuajournals.com/EN/Y2016/V56/I6/572

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