基于神经网络的框架结构损伤诊断的探讨

Damage Diagnosis of Framework Structure Based on Neural Network

利用神经网络技术对框架结构的损伤位置和损伤程度进行了研究。用有限元模态分析技术对平面框架结构的损伤情况进行了模拟,得到一系列频率、竖向位移、水平位移变化数据,将这些数据和损伤位置、损伤程度之间的映射关系作为网络训练样本,解决了以往对于对称结构损伤位置判断的难题,同时提出了用分步输出的方法解决了神经网络技术在框架结构应用中训练速度慢、不易收敛的问题。

In this paper, an approach based on BP neural network theory for determining the locations and degrees of damage of frame structure. On the theory of finite- dement method that can be simulated to get a series data of frequency, vertical displacement and horizontal displacement, take these data and damage position, extent of damage of compartment ＇map relation as network training swatch, set know clearly anciently toward symmetrical structure damage position estimation＇ puzzle, at the same time set know clearly try know clearly neural network technology at frame construction application suffer educate velocity tardiness, dys- convergent question in with substep deferent approach.