基于振型差值曲率与神经网络的海洋平台结构损伤识别研究

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振动与冲击 ›› 2011, Vol. 30 ›› Issue (10) : 183-187.

论文

基于振型差值曲率与神经网络的海洋平台结构损伤识别研究

于菲1 ; 刁延松1; 佟显能2; 张启亮1

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摘要

利用神经网络进行复杂结构损伤识别时，会遇到网络规模过大以致难以收敛的问题。为此，提出了一种基于振型差值曲率与神经网络的结构损伤识别两步法。第一步，利用振型差值曲率得到损伤的大致区域。第二步，在第一步选定的区域内，利用BP神经网络确定损伤构件的准确位置。四层海洋平台数值模拟和实验结果验证了该方法的有效性。

Abstract

When the neural network is used to identify the damage of complex structure, a problem that the network size is too large to converge will be encountered. So, a two-step structural damage identification approach based on the curvature of mode shape difference and BP neural network is proposed in this paper. Firstly, the damage areas are localized approximately by the curvature of mode shape difference. Secondly, the damaged elements are determined accurately by the BP neural network in the selected areas. The effectiveness of the method is validated by the results of numerical simulation and experiment for a four-floor offshore platform.