The Research of Civil Structural Damage Identification Based on Lifting Wavelet Entropy Index

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Abstract:

The failure of civil engineering structure will lead to heavy losses. So, identifying structural damage is necessary as early as possible. The excellent localization performance of lifting wavelet transform will facilitate significantly damage diagnosis. On the base of wavelet energy distribution of structural acceleration response, taking advantage of characteristics of lifting wavelet and entropy, the structural damage identification method based on lifting wavelet entropy is proposed in this paper. And the lifting wavelet time entropy index and the relative lifting wavelet entropy index are established. The new method and damage indexes are verified in numerical simulation and laboratory test of simple beam. The analysis results show that lifting wavelet time entropy can identify structural damage moment and the relative lifting wavelet entropy can identify structural damage location. The feasibility of method proposed is instructed.

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Periodical:

Advanced Materials Research (Volumes 291-294)

Pages:

2041-2048

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Online since:

July 2011

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[1] Dajian HAN, Wendong WANG: Journal of South China University of Technology (Natural Science), Vol. 31(1) (2003), pp.91-96, In Chinese

Google Scholar

[2] Zengshou SUN: Study on Wavelet-based Damage Identification Method for Civil Engineering Structures [D], Fuzhou, China, 2006, In Chinese

Google Scholar

[3] Jian GUO, Zhengwei GU and Bingnan SUN: Engineering Mechanics, Vol. 23(12) (2006), pp.129-135, In Chinese

Google Scholar

[4] I. Daubechies, W. Sweldens: Journal of Fourier Analysis and Application, Vol. 4(3) (1998), pp.245-267

Google Scholar

[5] Chendong DUAN, Zhengjia HE: Journal of Vibration and Shock, Vol. 26(2) (2007), pp.10-13, In Chinese

Google Scholar

[6] Jichun ZHANG, Jianguo YANG: Journal of Harbin Institute of Technology, Vol. 40(5) (2008), pp.775-778, In Chinese

Google Scholar

[7] Hongkai Jiang, Zhongsheng Wang, Zhengjia HE: Journal of Northwestern Polytechnical University, Vol. 26(1) (2008), pp.99-103, In Chinese

Google Scholar

[8] Shuting WAN, Luyong LV, Yuling HE: Journal of Vibration and Shock, Vol. 28(1) (2009), pp.170-173, In Chinese

Google Scholar

[9] Zengshou SUN, Keju FAN, Bo ZHANG: Journal of Zhengzhou University (Engineering Science), Vol. 31(1) (2010), pp.1-5, In Chinese

Google Scholar

[10] Svaldo A Rosso, Susana Blanco: Journal of Neuroscience Methods, Vol. 105 (2001), pp.65-75

Google Scholar

[11] Xinyun YIN, Yongyong HE, Zhike PENG: Journal of Vibration Engineering, Vol. 17(2) (2004), pp.165-69, In Chinese

Google Scholar

[12] Zengshou SUN, Keju FAN: Journal of Xi'an University of Architecture & Technology (Natural Science Edition), Vol. 41(1) (2009), pp.18-24, In Chinese

Google Scholar