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Frequency Response Function Based Updating of a Laser Spot Welded Structure using Synthesised Frequency Response Function

机译:基于频率响应函数使用合成频率响应函数更新激光点焊结构

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Accurate analytical models of engineering structures are of paramount importance for dynamicists to be used in predicting the dynamic behaviour(frequency response function)of the structures.The finite element method(FEM)and the experimental modal analysis(EMA)have been known as powerful and useful methods that can be used to determine the frequency response function(FRF)of the structures.However,the finite element FRF are often not in good agreement with experimental FRF due to assumption properties in finite element(FE)model.Therefore,in order to have a reliable FE model of a structure,measured FRF obtained from the experimental modal analysis can be integrated with finite element FRF to reconcile the FE model and the procedures involved in the reconciliation is a model updating process.Prior performing the updating process,the experimental FRF must be in good quality to obtain accurate FE model results.One way to reduce noise data and eliminate suspicious modes in FRF data is to use the FRF synthesised method.The main goal of this study is to use frequency response function based updating to minimise the error of a laser spot welded structure by using FRF synthesised data.In this work,MSC Software and LMS Test Lab were used to predict and measured the FRF of laser spot welded structure.The results revealed that FRF based updating method is successfully reduced the correlation gap between synthesised FRF and predicted FRF.
机译:工程结构的精确的分析模型是极为重要的用于向在预测structures.The有限元法(FEM)和实验模态分析(EMA)的动态行为(频率响应函数)被用于动力学家已被称为强大和可用于确定频率响应函数的structures.However的(FRF)有用的方法,所述有限元FRF往往不与实验FRF由于在有限元假设性能良好的一致性(FE)model.Therefore,为了到具有这样的结构的一个可靠的有限元模型,测量FRF从实验模态分析获得可与有限元FRF被集成调和有限元模型并参与和解程序是一个模型更新process.Prior执行更新处理,该实验FRF必须在良好的质量,以获得精确的有限元模型results.One方式,以减少噪声数据和消除在FRF可疑模式的数据是使用本研究的FRF合成method.The主要目标是基于使用频率响应函数的更新,以尽量减少激光光点的误差,通过使用合成的FRF此data.In工作焊接结构,MSC软件和LMS测试实验室被用来预测和测激光点的FRF焊接structure.The结果表明,基于FRF更新方法成功地降低了合成FRF之间的相关间隙和预测的FRF。

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