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.
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。
It shows that with the increasing of curvature radius, liner thickness, the length-to-diameter ratio of the charge, and decreasing of shell thickness, the velocity of EFP increase.
结果表明：随着药型罩曲率半径、装药长径比、壳体厚度的增大以及药型罩壁厚减少，EFP的速度增大。
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。
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