吉首大学学报（自然科学版）Issue(3)：45-51,7.DOI:10.3969/j.cnki.jdxb.2015.03.011
基于应变模态小波神经网络的结构损伤识别方法
Structure Damage Identification Method by the Wavelet-Neural Network Analysis of Strain Mode
摘要
Abstract
A frame structure is regarded as the object of research ,wavelet analysis is applied to determine the location of damage of frame structure and the neural network method to identify the damage degree . The principle of strain mode parameter identification of damaged frame structure is given and thus a wavelet neural method for identifing damage structure is proposed .Through the establishment of damage identification method of vibration mode and strain mode ,the framework crack positions under 9 different working conditions were identified ,and the identifying effects in the two modes were compared .Then the vibration parameters and strain parameter were undergone continuous wavelet transform to obtain the two maximum mode parameters .Neural network was applied to identify the damage degree of struc‐tures through simulating the nonlinear relationship between the maximum of wavelet coefficients of the structure and the damage degree ,and the damage identification effects in the two modes were compared . The numerical analysis indicates that the wavelet neural network can identify the damage location and de‐gree of structure effectively ,and the accuracy of damage identification method based on strain mode is better .关键词
框架/小波变换/BP神经网络/结构损伤/应变模态/振型模态Key words
frame/wavelet transform/BP neural network/structure damage/strain mode/vibratory mode分类
建筑与水利引用本文复制引用
管德清,廖俊文,吴兆..基于应变模态小波神经网络的结构损伤识别方法[J].吉首大学学报（自然科学版）,2015,(3):45-51,7.基金项目
国家自然科学基金资助项目 （）
