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Updating Large Structure Model by the Sensitivity Analysis of FRF Correlation Functions

机译:通过FRF相关函数的灵敏度分析更新大型结构模型

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Finite element (FE) model updating is an important tool to improve the accuracy of an initial FE model so that the predicted dynamic behavior matches as closely as possible that tested during the experiment. Two sets of new frequency response function (FRF) correlation functions, i.e. the amplitude correlation coefficient and the shape correlation coefficient are introduced, and an updating algorithm has been obtained by using the sensitivity of FRF correlation functions with respect to the selected design parameters. The use of physical parameters in model updating is implemented from a large ship model. The results indicate that this technique is feasible for very incomplete experimental FRF data and any updating frequency range, even in the case of measurement noise.
机译:有限元(FE)模型更新是提高初始FE模型准确性的重要工具,因此预测的动态行为与实验中测试的行为尽可能接近。引入了两组新的频率响应函数(FRF)相关函数,即幅度相关系数和形状相关系数,并利用FRF相关函数对所选设计参数的敏感性获得了更新算法。在模型更新中使用物理参数是从大型船舶模型实现的。结果表明,即使在测量噪声的情况下,该技术对于非常不完整的实验FRF数据和任何更新的频率范围也是可行的。

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