输入未知下非比例阻尼结构参数识别方法的研究

在地震动、地脉动等环境激励下的结构动力测试中,由于输入信息的随机性和作用位置的不确定性,输入信息是难以测试或难以精确测试的。本文在研究前人关于复合反演算法的基础上,提出加权平均修正算法,解决了地震动未知情况下结构参数的识别问题;在此基础上,本文研究非比例阻尼模型下的识别问题,针对堆积阻尼模型下的结构系统,结合松弛算法和加权平均修正算法,提出比例输入未知条件下非比例阻尼模型结构参数系统识别的迭代修正算法。

STUDY ON IDENTIFICATION METHOD FOR A STRUCTURE WITH NON-PROPORTINOAL DAMPING AND UNKNOWN INPUT

In dynamic testing of structures based on ambient excitation such as ground motion and ground micro-tremor,it is difficult to measure input information accurately,because input information is random and its acting location is uncertain.On the basis of the existed methods for multiple inversion,a new approach called "weighted average amending method" is put forward,it can be used to identify parameters of a non-linear system when ground motion is unknown.If the non-linear system is the one with non-proportional damping,combining this new method with the relaxation method,a new iterative procedure to identify its parameters with unknown input based on least square is proposed.At last,the results of a numerical example with unknown ground motion show that the proposed method is effective.