弹性限位浮筏隔振系统的动力学建模与算法

Model and algorithm for floating raft with elastic limiters

文章从接触动力学的角度,建立多自由度多弹性限位浮筏隔振系统的动力学模型,采用人工神经网络算法用于判别限位器的接触状态。实例分析指出,神经网络算法接触判别的时间大大缩短,接触计算得以实现。得出了对工程有指导意义的结论:限位器单向约束时,筏体和设备的最大位移与限位器之间存在最优间隙。限位器双向约束时,筏体的最大位移与限位器之间存在最优间隙,而设备的最大位移随着限位器的间隙增大而增大。限位器间隙对系统的影响与限位器的约束状态有关。

Based on contact dynamics,the multi-degree-freedom dynamic model of floating raft isolation system with elastic limiters was established.The artificial neural network was used to dingtinguish the contact state of elastic limiters.The example analysis showed that the algorithm of artificial neural network for contact shortened the time of caclaution.The contact calculation could be realized.Some interesting results may be useful to the actual engineerings： for setting an unilateral limiter to the system,there is a best gap corresponding to the displacement of the raft and equipments.Setting the bilateral limiter to the system,there is a best gap corresponding to the raft.On the other hand,the maximum displacement of the equipment is increased with the limiter’s gap.The influence of gap for floating raft is concern of the constraints’status.