Model Correction Using Experimental Data

这项研究解决了调整或纠正的问题， 与实验相符结构的分析模型 测量数据。 通常，在振动建模中，模型 通过分析确定（即，利用有限元分析 (FEA)方法）与实验模态分析（EMA）进行了比较。 数据 许多不兼容性通常存在于 分析模型和实验获得的数据，以及 认为分析模型是错误的，必须 并根据实验数据进行了修正。 这 研究认识到，模型校正问题与 特征结构配置问题的陈述， 控制理论中常见的极点配置问题。 这里的意图 是利用控制理论算法来求解模型 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。

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.