Browse > Article
http://dx.doi.org/10.12989/sem.2007.26.3.315

A new damage index for detecting sudden change of structural stiffness  

Chen, B. (Dept. of Civil and Structural Engineering, The Hong Kong Polytechnic University)
Xu, Y.L. (Dept. of Civil and Structural Engineering, The Hong Kong Polytechnic University)
Publication Information
Structural Engineering and Mechanics / v.26, no.3, 2007 , pp. 315-341 More about this Journal
Abstract
A sudden change of stiffness in a structure, associated with the events such as weld fracture and brace breakage, will cause a discontinuity in acceleration response time histories recorded in the vicinity of damage location at damage time instant. A new damage index is proposed and implemented in this paper to detect the damage time instant, location, and severity of a structure due to a sudden change of structural stiffness. The proposed damage index is suitable for online structural health monitoring applications. It can also be used in conjunction with the empirical mode decomposition (EMD) for damage detection without using the intermittency check. Numerical simulation using a five-story shear building under different types of excitation is executed to assess the effectiveness and reliability of the proposed damage index and damage detection approach for the building at different damage levels. The sensitivity of the damage index to the intensity and frequency range of measurement noise is also examined. The results from this study demonstrate that the damage index and damage detection approach proposed can accurately identify the damage time instant and location in the building due to a sudden loss of stiffness if measurement noise is below a certain level. The relation between the damage severity and the proposed damage index is linear. The wavelet-transform (WT) and the EMD with intermittency check are also applied to the same building for the comparison of detection efficiency between the proposed approach, the WT and the EMD.
Keywords
sudden damage; acceleration response; signal discontinuity; damage index; empirical mode decomposion; wavalet transform; damage detection;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
Times Cited By Web Of Science : 2  (Related Records In Web of Science)
Times Cited By SCOPUS : 3
연도 인용수 순위
1 Hera, A. and Hou, Z. (2004), 'Application of wavelet approach for ASCE structural health monitoring benchmark studies', J. Eng. Mech., ASCE, 130(1), 96-104   DOI   ScienceOn
2 Hou, Z. and Noori, M. (1999), 'Application of wavelet analysis for structural health monitoring', Proc. of 2nd Int. Workshop on Structural Health Monitoring, Stanford Univ., Stanford, CA, 946-955
3 Huang, N.E., Shen, Z., Long, S.R., Wu, M.C. and Shih, H.H. (1998), 'The empirical mode decomposition and Hilbert spectrum for nonlinear and nonstationary time series analysis', Proc. of the Royal Society of London Series A, 454, 903-99
4 Johnson, E.A., Lam, H.F., Katafygiotis, L.S. and Beck, J.L. (2000), 'A benchmark problem for structural health monitoring and damage detection', Proc. of 14th Engineering Mechanics Conf. (CD Rom), ASCE, Reston, VA
5 Maity, D. and Tripathy, R.R. (2005), 'Damage assessment of structures from changes in natural frequencies using genetic algorithm', Struct. Eng. Mech., 19(1), 21-42   DOI   ScienceOn
6 Sohn, H., Farrar, C.R., Hemez, F.M., Shunk, D.O., Stinemates, D.W. and Nadler, B.R. (2003), 'A review of structural health monitoring literature: 1996-2001', Los Alamos National Laboratory Report, LA-13976-MS
7 Sohn, H., Robertson, A.N. and Farrar, C.R. (2004), 'Holder exponent analysis for discontinuity detection', Struct. Eng. Mech., 17(3-4),409-428   DOI   ScienceOn
8 Vincent, B., Hu, J. and Hou, Z. (1999), 'Damage detection using empirical mode decomposition and a comparison with wavelet analysis', Proc. of 2nd Int. Workshop on Structural Health Monitoring, Stanford Univ., Stanford, CA, 891-900
9 Xu, Y.L. and Chen, J. (2004), 'Structural damage detection using empirical mode decomposition: Experimental investigation', J. Struct. Eng., ASCE, 130(11), 1279-1288
10 Yang, J.N., Lei, Y. and Huang, N.E. (2001), 'Damage identification of civil engineering structures using Hilbert-Huang transform', Proc. of 3rd Int. Workshop on Structural Health Monitoring, Stanford, CA, 544-553
11 Yang, J.N., Lei, Y., Lin, S. and Huang, N. (2004), 'Hilbert-Huang based approach for structural damage detection', J. Eng. Mech., ASCE, 130(1), 85-95   DOI   ScienceOn
12 Hou, Z., Noori, M. and Amand, R.S. (2000), 'Wavelet-based approach for structural damage detection', J. Eng. Mech., ASCE, 126(7), 677-683   DOI   ScienceOn
13 Huang, N.E., Shen, Z. and Long, S.R. (1999), 'A new view of nonlinear water wave: the Hilbert spectrum', Annual Review Fluid Mech., 31, 417-457   DOI   ScienceOn