Multi-Resolution Analysis and Damage Identification of Structure

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Abstract:

By using wavelet multi-resolution analysis, damage sensitivity in different acceleration responding signals from different locations of the structure are studied in this paper. Through numerical analysis of a five-layer frame structure, the result shows that the sensors in different location have different capabilities in denoting the damage signal. Each sensor can only denote the working status of the surrounding area. Single or some of the sensors may lead to false diagnostic results. It can be concluded that multi sensors with data fusion method is the effective way to solve the problem of limited information by single sensor.

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Periodical:

Advanced Materials Research (Volumes 368-373)

Pages:

593-598

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Online since:

October 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Li Jiao. Damage identification of the structures based on data fusion[D]. Dalian: Dalian University of Technology, 2007.

Google Scholar

[2] R. Krafft. Dynamics of Structure [M]. Beijing: Science Press, 1981.

Google Scholar

[3] Chunxin Chang. Modern Control Theory Basis[M]. Beijing: Mechanical Industry Press, 1988.

Google Scholar

[4] Guo Jian. Research on structural damage identification based on data fusion[D]. Hangzhou: Zhejiang University, 2004.

Google Scholar

[5] Xiaopu Shen, Xiao Zhuo. State Space iteration Method for Analysis of Dynamic Time History Response of Tall Building Structures [J]. Journal of Building Structures, 1998, 19(5): 8-16.

Google Scholar

[6] Rongyi Chen, Shen Pengcheng. State space method analysis of seismic response of structure [J]. Structural Engineers, 1999(2): 36-38.

Google Scholar

[7] Mingcai Liu. Wavelet analysis and application[M]. Beijing: Qinghua University Press, 2004.

Google Scholar

[8] Yuhua Peng. Wavelet transform and engineering application[M]. Beijing: Science Press, 1999.

Google Scholar

[9] Fusheng Yang. Engineering analysis and application of wavelet transformation[M]. Beijing: Science Press, 2001.

Google Scholar

[10] Gary G. Yen, Kuo-Chung lin. Wavelet packet feature extraction for vibration monitoring[J]. IEEE Transaction on Industrial Electronics, 2000, 47(3): 650-667.

DOI: 10.1109/41.847906

Google Scholar

[11] Z. Sun, C.C. Chang. Structural damage assessment based on wavelet packet transform[J]. Journal of Structural Engineering, 2002, 128(10): 1351-1361.

DOI: 10.1061/(asce)0733-9445(2002)128:10(1354)

Google Scholar

[12] L. H. Yam, Y. J. Yan, J. S. Jiang. Vibration-based damage detection for composite structures using wavelet transform and neural network identification[J]. Composite Structures, 2003, 60: 403-412.

DOI: 10.1016/s0263-8223(03)00023-0

Google Scholar

[13] Guoqiang Li, Li Jie. Engineering structure dynamic testing theory and application[M]. Beijing: Science Press, 2002.

Google Scholar