基于遗传算法和序列二次规划法的结构稳健性优化设计方法

The structural robustness optimization design method based on genetic algorithm and sequence secondary planning method

摘要:

针对目前结构优化设计方法未考虑参数随机性的问题，提出基于遗传算法和序列二次规划法的结构稳健性优化设计方法。将结构产品的质量特性作为优化目标，性能函数的可靠度指标作为约束条件，建立稳健性优化设计模型。利用序列二次规划法计算其性能函数的可靠度指标，在此基础上，利用遗传算法进行迭代计算，得出最优设计结果。最后，将某型导引头导轨齿轮设计作为工程案例，验证了使用此结构稳健性优化设计方法能够降低产品重量，提高结构稳健性。

Abstract:

In view of the problem that the current structural optimization design method does not consider parameter randomness, this paper proposes the structural robustness optimization design method based on genetic algorithm and sequence secondary planning method. The quality characteristics of structural products are used as the optimization target, and the reliability index of performance functions is used as a constraint to establish a robust optimization design model. The reliability index of its performance function is calculated by the sequence secondary planning method, on this basis, the genetic algorithm is used to make iterative calculation, and the optimal design results are obtained. Finally, a certain type of guide rail gear design as an engineering case is used. It is proved that this optimization design method is effective in reducing the weight of the product and improving the structural robustness.