小波分析与神经网络在结构多处损伤监测中的应用
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摘要
采用小波分析对获得的结构动力响应进行小波分解,根据各种响应信号对损伤的灵敏度选择损伤特征,从而识别结构多次出现损伤的时刻,实现对结构损伤时刻的监控;对结构第1层加速度响应信号做小波包分解,得到各频段能量的特征向量,作为特征参数输入到BP神经网络中实现结构多处损伤位置和程度识别。模拟算例表明,小波分析和BP神经网络联合运用能准确地诊断结构多处损伤的时刻、位置和程度,具有一定的可行性。
This paper decomposes the dynamics response of a structure using wavelet analysis method,and the damage character is selected by comparing the damage susceptibility of every response signal.By using wavelet packet decomposing,the quantity of energy over frequency band of the acceleration response of the first story is chosen as the characteristic vector to identify damage,and is used as input variable for BP neural network.The damage time and location in a shear-type structure are monitored using wavelet analysis and BP neural network.Numerical example shows that the position and degree of damage are accurately identified as well as the damage moment,which proves the proposed method is feasible.
This paper decomposes the dynamics response of a structure using wavelet analysis method,and the damage character is selected by comparing the damage susceptibility of every response signal.By using wavelet packet decomposing,the quantity of energy over frequency band of the acceleration response of the first story is chosen as the characteristic vector to identify damage,and is used as input variable for BP neural network.The damage time and location in a shear-type structure are monitored using wavelet analysis and BP neural network.Numerical example shows that the position and degree of damage are accurately identified as well as the damage moment,which proves the proposed method is feasible.
引文
[1]杜永峰,白莉,夏亚峰,等.小震下隔震结构的随机响应及失效概率分析[J].兰州理工大学学报,2004年,30(6):101-105.
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[6]闻新,周露.MATLAB神经网络仿真与应用[M].北京:科学出版社,2003.258-281.
[7]陈祥光,裴旭东.人工神经网络技术及应用[M].北京:中国电力出版社,2003.17-31.
[8]Chen S S,K im S.Neural network based signal mon itoring in asmart structural system[J].Smart Structures and Materials,1994,219(1):176-186.
[9]张根昌,吴并臻,刘跃峰.小波分析技术在地震信号噪声处理中的应用[J].矿冶,2003,12(1):89-92.
[10]W u X,Ghaboussi J,Garrett JH.Use ofNeuralNetwork in D etec-tion of Structural Damage[J].Computers&Structures,1992,42(4):649-659.
[11]赵贵兵,陈纪忠,阳永荣.Daubench ies小波对流化床压力波动的分解研究[J].高校化学工程学报,2003,17(3):272-278.
[12]杜永峰,李慧,赵国藩.地震作用下结构振动最优控制的一种一般算法[J].大连理工大学学报,2004,44(6):864-869.
[2]杨福生.小波变换的工程分析与应用[M].北京:科学出版社,1999.48-67.
[3]徐长发,李国宽.实用小波方法(第二版)[M].武汉:华中科技大学出版社,2004.98-100.
[4]E lkordyM F,Chang K C,Lee G C.Application ofNeuralNetworksin V ibrational S ignature Analysis[J].Journal of Engineering M e-chan ics,1994,120(2):251-264.
[5]董长虹.MATLAB小波分析工具箱原理与应用[M].北京:国防工业出版社,2004.156-254.
[6]闻新,周露.MATLAB神经网络仿真与应用[M].北京:科学出版社,2003.258-281.
[7]陈祥光,裴旭东.人工神经网络技术及应用[M].北京:中国电力出版社,2003.17-31.
[8]Chen S S,K im S.Neural network based signal mon itoring in asmart structural system[J].Smart Structures and Materials,1994,219(1):176-186.
[9]张根昌,吴并臻,刘跃峰.小波分析技术在地震信号噪声处理中的应用[J].矿冶,2003,12(1):89-92.
[10]W u X,Ghaboussi J,Garrett JH.Use ofNeuralNetwork in D etec-tion of Structural Damage[J].Computers&Structures,1992,42(4):649-659.
[11]赵贵兵,陈纪忠,阳永荣.Daubench ies小波对流化床压力波动的分解研究[J].高校化学工程学报,2003,17(3):272-278.
[12]杜永峰,李慧,赵国藩.地震作用下结构振动最优控制的一种一般算法[J].大连理工大学学报,2004,44(6):864-869.
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