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首页> 外文期刊>Journal of Mechanical Science and Technology >An identification method for joint structural parameters using an FRF-based substructuring method and an optimization technique
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An identification method for joint structural parameters using an FRF-based substructuring method and an optimization technique

机译：基于FRF的子结构和优化技术的关节结构参数识别方法

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摘要

A new method is proposed to identify the joint structural parameters of complex systems using a frequency response function (FRF)-based substructuring method and an optimization technique. The FRF method is used to estimate the joint parameters indirectly by minimizing the difference between the reference and calculated responses using a gradient-based optimization technique with analytical gradient information. To assess the robustness of the identification method with respect to noisy input data, FRFs contaminated by uniformly distributed random noise were tested in a numerical example. The effects of the random noise and the magnitude of the connection stiffness values on the accuracy of the method were investigated while identifying the joint parameters. When the FRFs were contaminated with random noise, the proposed procedure performed well when used to identify the stiffness values, but the accuracy of identification is deteriorative when used to identify the damping coefficients. The joint parameters of a real bolted structure were also identified by the proposed method. The results show that it can be applied successfully to real structures, and that a hybrid approach using both calculated and measured FRFs in the substructure model can enhance the quality of the identification results.
机译：提出了一种基于频率响应函数（FRF）的子结构化方法和优化技术来识别复杂系统联合结构参数的新方法。 FRF方法用于通过使用带有分析梯度信息的基于梯度的优化技术来最大程度地减少参考响应和计算响应之间的差异，从而间接估算关节参数。为了评估识别方法相对于嘈杂的输入数据的鲁棒性，在数值示例中测试了受均匀分布的随机噪声污染的FRF。在确定关节参数的同时，研究了随机噪声和连接刚度值的大小对方法准确性的影响。当FRF受到随机噪声的污染时，所提出的程序在用于识别刚度值时表现良好，但是在用于识别阻尼系数时，识别的准确性却下降了。所提出的方法还可以确定真实螺栓结构的连接参数。结果表明，它可以成功地应用于实际结构，并且在子结构模型中使用计算的FRF和测量的FRF的混合方法可以提高识别结果的质量。

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