摘要
回顾了近年来未知输入情况下的结构参数识别算法,并针对未知输入情况下的复合反演算法做了深入研究,总结归纳了这类算法的特点和应用条件,并在此基础上提出了能够用于具有多个未知输入组合下的复合反演算法。此方法是基于最小二乘原则并结合统计平均思想的一类迭代算法,对于在多个未知输入情况下的结构(例如在地震动和风荷载共同作用下等),可以用来识别结构参数并同时反演多个未知输入。与仅适用于具有一个未知输入情况下的复合反演算法相比,本文方法具有更广泛的应用背景,最后以一个4层剪切型结构为例来验证本文方法。有噪声情况下和无噪声情况下的识别结果显示本文方法具有一定适用性。
The development of structural system identification without input information in recent years is reviewed and the characteristics of some proposed algorithms for both input and system identification are summarized. Combined with the features of the Statistical Average Algorithm, a new iterative procedure based on the least-square criterion is put forward for structural multiple inversion. This method can be applied to the situation when multi-loads acting on the structure are unknown. Compared with other approaches for solving only one unknown input, this method has a wider application background. A four story shear building, as the numerical example, is given for verifying this method. The identification results through the noise free measurements and the noise included measurements show the applicability of this method.
出处
《工程力学》
EI
CSCD
北大核心
2006年第1期6-10,16,共6页
Engineering Mechanics
基金
国家自然科学基金资助项目(50209002)
辽宁省自然科学基金资助项目(20022130)
关键词
参数识别
复合反演
未知输入
地震动
风荷载
parameter identification
multiple inversion
unknown input
ground motion
wind load
