基于监测数据的岸桥模态参数识别

Modal parameter identification of a quayside container crane based on monitoring data

针对岸桥的模态参数识别问题,基于监测数据,采用协方差驱动的随机子空间方法对监测岸桥的模态参数进行了识别。归纳了随机子空间法的理论及算法过程,基于协方差驱动随机子空间法结合稳定图对不同工作状态下的岸桥进行参数识别,识别出了监测岸桥在不同工作状态下1 Hz以内的五阶模态。识别得到的岸桥的阻尼比在3%以内,小车(吊重)质量对不同的工作状态下岸桥的非工作平面内模态影响较小,对起升平面,即工作平面内的模态有一定的影响。

Aiming at modal parameter identification of a quayside container crane(QCC),based on monitoring data,the modal parameters of the QCC were identified by a covariance-driven stochastic subspace identification method(CSSI)in this paper.The main theory of this method and its algorithm were summarized,then,the parameters of the QCC were identified by the CSSI method with the stabilization diagram.The results reveal that this method can effectively identify the five modes of QCC within 1 Hz,the identified damping ratios are less than 3%,and the trolley(loading)has negligible effects on the modal results of the monitored QCC under different working states in an unworking plane,but has certain effects on the modal results in the working plane,i.e.lifting plane.