基于遗传算法的钉孔布局设计优化
Optimization of Rivet Layout based on Genetic Algorithm
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摘要: 该文建立了铆钉连接的有限元三维接触分析模型,通过预紧力单元法施加预紧力,以螺钉y坐标为优化变量,以螺钉的最大应力最小为优化目标,运用MATLAB编写遗传算法程序,实现MATLAB-ANSYS联合仿真优化。通过对铆钉位置的优化,提出了一种工程上对铆钉布局进行优化的新方法。该方法可设置指定指标为优化目标,包括板的最大应力、螺钉的最大应力、板的挤压应力等,通过惩罚函数实现约束,可实现工程连接件某个目标的优化。Abstract: After establishing the finite element three-dimensional contact analysis model of rivet connection, the preload is applied through the preload element method, with the screw y-coordinate as the optimization variable, and the maximum stress of the screw as the optimization goal. The genetic algorithm program is complied with MATLAB to realize the joint simulation and optimization of MATLAB and ANSYS. Through the optimization of rivet position, a new method for optimizing the rivet layout in engineering is proposed. With this method, the specified index can be set as the optimization target, including the maximum stress of the plate, the maximum stress of the screw, the extrusion stress of the plate, etc. The constraint can be realized through the penalty function, and the optimization of a certain target of the engineering connector can be achieved.