Model Correction Using Experimental Data

这项研究解决了调整或修正结构的分析模型以与实验测量数据相一致的问题。通常，在振动建模中，通过分析(即，通过有限元分析(FEA)方法)确定的模型与实验模态分析(EMA)数据进行比较。分析模型和实验数据之间普遍存在许多不相容之处，并认为分析模型是错误的，必须根据实验数据进行改进和修正。本研究认识到，模型修正问题类似于控制理论中常见的特征结构配置问题和极点配置问题的表述。这里的目的是利用控制理论算法来解决模型校正问题，通过调整算法来利用EMA和FEA数据之间的差异。开发的理论将通过对一些实验室结构的测试进行验证。

This research addresses the problem of adjusting, or correcting, the analytical model of a structure to agree with experimentally measured data. Typically, in vibration modeling, models determined analytically (i.e., by the finite element analysis (FEA) method) are compared with experimental modal analysis (EMA) data. Numerous incompatibilities generally exist between the analytical models and the experimentally obtained data, and the view is taken that the analytical model is in error and must be refined and corrected based on the experimental data. This research recognizes that the model correction problem is similar to the statement of the eigenstructure assignment problem and pole placement problem common to control theory. The intent here is to utilize the control theory algorithms to solve the model correction problem by adjusting the algorithms to take advantage of differences between EMA and FEA data. The theory developed will be subjected to verification through tests on a number of laboratory structures.