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.

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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.

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采用非线性全过程数值分析方法，计算了钢筋混凝土不等肢T形、L形和十字形柱截面模型在多种工况下的截面曲率延性比。

The cross- section curvature ductility ratio for R. C inequiaxial T - shaped, L - shaped and cress - shaped columns is calculated by numerical method.

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