提出了利用模态频率、模态振型和模态柔度组合指标作为神经网络修正的输入参数。
And we suggest that mode frequencies, mode shapes and mode flexibility are regarded as input parameters of neural network modification.
针对某三跨连续梁桥，对几种振型扩展与修正的方法进行了比较研究。
With applications to a three-span continuous beam bridge, the comparative of some methods of mode shape expansion and updating is researched.
由于实测信息的不完备，使得在利用传统的基于模型修正的数学方法进行结构损伤识别时，必须对结构的模型进行缩聚或对实测振型进行扩展。
For the measured information is far from complete, the model condensation or the mode shapes extension techniques have to be used in the traditional model updating method.
文中提出了一种基于不同残差的桥梁结构模型修正方法，介绍了频率残差和振型残差的概念，目标函数的确定和设计参数的选择方法。
Firstly, the concepts of frequency residual and mode shapes residual are introduced, the determination of objection function and selection methods of updated parameters are emphatically investigated.
本文介绍了试验振型的加权优化修正及其在结构动力修正中的应用。
In this paper, the method of weighted orthogonal Improvement of experimental modal and its application in Structural Dynamic Modification (SDM) was introduced.
提出了利用模态频率、模态振型和模态柔度组合指标作为神经网络修正的输入参数。
The mode flexibility and the mode frequency were introduced to the input parameter of neural network system.
提出了利用模态频率、模态振型和模态柔度组合指标作为神经网络修正的输入参数。
The mode flexibility and the mode frequency were introduced to the input parameter of neural network system.
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