非平稳随机激励的机械系统动态优化设计方法

非平稳随机激励的机械系统动态优化设计对于承受随机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，该类极具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。

DYNAMIC OPTIMIZATION DESIGN OF MECHANICAL SYSTEM UNDERGOING UNSTEADY STOCHASTIC EXCITATION

The dynamical optimization design of mechanical system exited by unsteady stochastic loads is of particular significant for the mechanical system to have a fine performance.However,Problems of the design have remained to be solved up to now due to their complexity.In this paper,a mixed genetic algorithm is presented for the first time,which is then combined with the virtual excitation method.By use of the combined method,problems mentioned above can be solved with success.The adoption of the method to a semi active suspension optimization design has proved the correctness of the method and the reliability of the results.