长沙理工大学学报（自然科学版）Issue(1)：37-41,5.
基于小波神经网络的框架结构损伤识别
Damage identification of frame structure by wavelet and neural network analysis
摘要
Abstract
The frame structure with damages is taken as the research obj ect in order to have a clear identification of the damage location and damage degree.Based on the principle of FEA and the Lanczos method,the modal parameters of frame structure can be calculated. And with a continuous wavelet transform of the modal parameters according to the rotation modal wavelet analysis theory,the wavelet coefficient can be got.The damaged construction can be located by the maximum modulus of wavelet coefficients.The neural network can be formed with neural network input parameter as its natural frequency of the structure.So the identification and positioning of structural damage can be made.The method is verified use-ful by computational analysis of the frame structure damage.关键词
小波分析/神经网络/损伤识别/转角模态/框架结构Key words
wavelet analysis/neural network/damage identification/rotation modal/frame structure分类
建筑与水利引用本文复制引用
管德清,荣政,汤博文..基于小波神经网络的框架结构损伤识别[J].长沙理工大学学报（自然科学版）,2014,(1):37-41,5.基金项目
国家自然科学基金资助项目(51378079) （51378079）
