基于多学科多目标遗传算法的摩托车车架优化

Motorcycle Frame Optimization Based on Multidisciplinary and Multi-Objective Genetic Algorithm

建立摩托车架有限元模型,计算不同工况下的强度、刚度以及自由模态和约束模态,验证了一维管梁单元模型可代替二维壳单元模型进行仿真计算。采用正交实验设计对优化变量进行灵敏度分析和选择。以自由模态和约束模态频率为优化目标,强度、刚度以及轻量化为约束条件,建立多学科多目标遗传算法的振动优化方案,得到车架整体系统的最优解,提高了车架结构振动特性。

The finite element model of motorcycle frame was established.And the strength,stiffness,the free modal and the constraint modal were calculated and the results verified that the 1D tube model can be instead of the 2D shell element model for the simulation calculation.Orthogonal experiment was used to analysis the sensitivity of design variables and the best was select.With the frequency of free modal and constraint modal being the objective for optimization,and the strength,stiffness and lightweight being the constraint conditions,multidisciplinary and multi-objective optimization for the vibration was established based on the multi-objective genetic algorithm.The optimal solution was obtained and the vibration characteristics of structure were enhanced.