非平稳随机激励的机械系统动态优化设计方法

The Dynamic Optimization Design Method of Nonstationary Stochastic Exitation Mechanical System

非平稳随机激励的机械系统动态优化设计对于使承受随机激励荷载的系统具备优良的性能有着特殊的意义。但由于其问题自身的复杂性，该类极其重要性的问题有待于更深入的探索和研究。本文利用虚拟激励算法和首次提出的混合遗传基因优化方法成功地解决了这类问题。基于半主动汽车悬架系统优化设计的应用表明该算法正确，结果可信。

The dynamical optimization design of mechanical system exited by nonstationary stochastic loads is very important for the mechanical system to have a fine performance during working.Because its difficulty, this research is important and still needed to be studied. In this paper,a method of combining virtual exitation method and mixed genetic algorithm which is published here first, is presented and can be used to solved this kind of problem successfully. The application on a semi-active suspension optimization design proved