基于組合優(yōu)化算法的結構穩(wěn)健優(yōu)化設計方法研究與應用
[Abstract]:In the traditional research of structural optimization design, design variables are usually regarded as deterministic quantities, and the uncertainties that they may produce are not considered, which will eventually lead to instability of structural performance. Therefore, it is necessary to consider the variation of design variables in practice. In this paper, the application of structural robust optimization design method in typical mechanical structures is studied and explored, taking the typical parts of artillery as the research object. Firstly, the structure robust optimization method is deeply studied, and the optimization algorithm is redeveloped in iSIGHT. The multi-island genetic algorithm is combined with the improved Hooke-Jeeves algorithm. A 6 蟽 structure robust optimal design method based on combinatorial optimization algorithm is proposed. Secondly, the three-dimensional solid parameterized model of the air-closed structure and the rear frame is established, and the statically rigid strength analysis is carried out in ABAQUS to evaluate its structural performance. In iSIGHT, the structural robust optimization design platform is built, and PRO/E and ABAQUS, are integrated to realize the "design-analysis-robust optimization-re-design" of mechanical structures. Finally, a central encryption experiment design method is proposed to explore the initial design space more effectively. In order to obtain the relationship between design response and design variables, a large number of experiments are needed, which will consume a lot of resources and time. Therefore, the response surface and Kriging approximation models are analyzed and studied in this paper, and the Kriging approximation model is applied to an example, which greatly reduces the computing time, and the migration operations in the multi-island genetic algorithm maintain the diversity of the optimal solutions. The opportunity to include the global optimal solution is improved, but the convergence rate is slow. The improved Hooke-Jeeves algorithm developed in this paper can carry out effective local acceleration search and improve the chance of obtaining the global optimal solution. It can improve the efficiency of structural robust optimization design. The success of the structural robust optimization design of the closed air structure and the rear frame shows that the structural robust optimization design method studied and explored in this paper is of certain practical value and can solve some practical problems in the mechanical structure design.
【學位授予單位】:南京理工大學
【學位級別】:碩士
【學位授予年份】:2011
【分類號】:TH122
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