结构动力模型修正方法研究与进展  

Research and Progress on Updating Method for Dynamic Model of Structure

作　　者：王博[1] 吕正勋[1] 何伟[2] 

机构地区：[1]郑州大学水利与环境学院,河南郑州450002 [2]华北水利水电学院,河南郑州450011

出　　处：《水利与建筑工程学报》2009年第1期16-19,共4页Journal of Water Resources and Architectural Engineering

基　　金：河南省高校杰出科研人才创新工程基金资助项目(2003011);河南省自然科学基金资助项目(2004570002);河南省科技攻关资助项目(0424470011)

摘　　要：在结构动力分析中,通过初始模型得到的计算值与通过试验获得的测量值间往往存在偏差,为了能够精确预测结构的动力响应,依据结构的实测信息修正初始有限元模型是非常有必要的。对模型修正常用的矩阵型、参数型、基于神经网络算法和基于优化设计的模型修正方法做了较为详细的综述,介绍了这些方法的原理、实现和应用,并指出了它们存在的不足之处,最后展望了动力模型修正领域的研究发展方向。In dynamic analysis of structure, the considerable discrepancies exist between predictions from a structural dynamic model and experimental results from a laboratory model. Updating the existing dynamic model based on measured data is very important in order to precisely predict the dynamic response of the structure. The methods commonly used in the field of model updating are introduced in detail, including the methods of matrix, paramentric, neural network and optimization design theory, together with the principles, realization and application of these methods and their deficiencies, finally making a prospect for the researching and developing trends in the field of the dynamic model correction.

关 键 词：动力模型修正 频响函数 神经网络算法 优化设计 

分 类 号：TV312[水利工程—水工结构工程] TU311.3[建筑科学—结构工程]