第二章介绍了移动荷载识别的基本原理和相关知识，包括振型的正交性，模态叠加原理等。
The second chapter introduces the basic principle and the correlation knowledge of moving load identification, including mode shape orthogonality, mode superposition principle and so on.
本文在分析以往研究成果的基础上，找到了一个基于曲率模态的对钢筋混凝土框架结构损伤识别有效的参数——振型曲率比。
In this paper, based on the analysis of preceding research, a parameter, called mode shape curvature ratio, is put forward for damage identification of reinforced concrete framed structure.
最后利用基于加速度响应的ITD法识别结构的模态参数：频率和振型等。
At last, ITD method based on free acceleration response is used to identify mode parameters, frequencies and modal.
应用表明用有效模态质量进行模态识别，可以有助于找到尾轴架系统的固有频率和振型。
The practice application expresses that effective modal mass could be helpful to find natural frequency and vibration shape.
研究了适用于桥梁和连续梁结构的基于曲率模态振型的损伤识别方法。
A damage identification approach applied aptly in Bridges and continuous beams, based on the curvature mode shapes, was studied in this paper.
提出了整体频响函数的新概念(GFRF).以振型平方和的形式对全部频响函数进行加权组合，建立了多输入多输出模态参数的识别模型。
A concept of global frequency response function (GFRF) has been presented. The MIMO modal parameter identification modal has been established, based on the weighting sum of modal shape squares.
本文基于模态振型，提出一个新的用于结构损伤识别的参数——振型曲率比，并将之作为神经网络的输入向量。
In this paper, based on mode shape, the author put forward a new parameter-mode shape curvature ratio for detecting structure damages. And it is also the input vector of the neural network.
本文基于应变模态的工作，利用应变模态识别得到的振型和频率结果，提出广义应变比能（GSED）的概念。
The paper gives a new concept generalized strain energy density (GSED). It is based on the strain mode frequency and mode shape. It is very effective and its physical meaning is clear.
结果表明，采用该方法能够有效地识别出模态振型，从而弥补了复指数法在未知激励下进行模态分析的不足。
The results show that the present method can identify the mode shape accurately and complement the use of PRCE under unknown exci…
结果表明，采用该方法能够有效地识别出模态振型，从而弥补了复指数法在未知激励下进行模态分析的不足。
The results show that the present method can identify the mode shape accurately and complement the use of PRCE under unknown excitation condition.
结果表明，采用该方法能够有效地识别出模态振型，从而弥补了复指数法在未知激励下进行模态分析的不足。
The results show that the present method can identify the mode shape accurately and complement the use of PRCE under unknown excitation condition.
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