Multi-stage structural damage diagnosis method based on "energy-damage" theory

Smart Structures and Systems

Volumn 12, Issue 3-4, 2013, Pages 345-361

  Yi, Ting Hua ^a   Li, Hong Nan ^a   Sun, Hong Min ^b  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

^b SHENYANG JIANZHU UNIVERSITY   (China)

Author keywords

Benchmark structure; BP neural network; Damage diagnosis; Energy damage theory; Wavelet packet analysis

Indexed keywords

NEURAL NETWORKS; WAVELET ANALYSIS;

BENCHMARK STRUCTURE; BP NEURAL NETWORKS; DAMAGE DIAGNOSIS; DAMAGE THEORY; WAVELET PACKET ANALYSIS;

BACKPROPAGATION;

EID: 84886900390     PISSN: 17381584     EISSN: 17381991     Source Type: Journal    
DOI: 10.12989/sss.2013.12.3-4.345     Document Type: Article

References (25)

1. Basheer, I.A. and Hajmeer, M. (2000), "Artificial neural networks: Fundamentals, computing, design, and application", J. Microbiol. Meth., 43(1), 3-31.
2. Boller, C., Chang, F.K. and Fujino, Y. (2009), Encyclopedia of structural health monitoring, John Wiley & Sons Ltd.
3. Carden, E.P. and Brownjohn, J.M.W. (2008), "ARMA modelled time-series classification for structural health monitoring of civil infrastructure", Mech. Syst. Signal Pr., 22(2), 295-314. (Pubitemid 350102762)
4. Chen, B. and Zang, C.Z. (2009), "Artificial immune pattern recognition for structure damage classification", Comput. Struct., 87(21-22), 1394-1407.
5. Doebling, S.W., Farrar, C.R., Prime, M.B. and Shevitz, D.W. (1996), Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: a literature review, Los Alamos National Laboratory Report, LA-13070-MS.
6. Johnson, E.A., Lam, H.F., Katafygiotis, L.S. and Beck, J.L. (2004), "Phase I IASC-ASCE structural health monitoring benchmark problem using simulated data", J. Eng. Mech. -ASCE, 130(1), 3-15. (Pubitemid 38135599)
7. Lam, H.F. and Ng, C.T. (2008), "The selection of pattern features for structural damage detection using an extended Bayesian ANN algorithm", Eng. Struct., 30(10), 2762-2770.
8. Lam, H.F., Yuen, K.V. and Beck, J.L. (2006), "Structural health monitoring via measured Ritz vectors utilizing artificial neural networks", Comput. Aided Civ. Inf., 21(4), 232-241. (Pubitemid 43349334)
9. Lautour, O.R. and Omenzetter, P. (2010), "Damage classification and estimation in experimental structures using time series analysis and pattern recognition", Mech. Syst. Signal Pr., 24(5), 1556-1569.
10. Lei, Y., Jiang, Y.Q. and Xu, Z.Q. (2012), "Structural damage detection with limited input and output measurement signals", Mech. Syst. Signal Pr., 28(0), 229-243.
11. Li, H.N. and Sun, H.M. (2003), "Damage diagnosis of framework structure based on wavelet packet analysis and neural network", Earthq. Eng. Eng. Vib., 23(5), 141-148.
12. Li, H.N. and Yang H. (2007), "System identification of dynamic structure by the multi-branch BPNN", Neurocomputing, 70(4-6), 835-841. (Pubitemid 46043981)
13. Misiti, M., Misiti, Y., Oppenheim, G. and Poggi, J.M. (2004), Wavelet toolbox for use with Matlab, User's Guide, Ver. 3. MATLAB, The MathWorks, Inc. Natwick, MA (USA), http://www.mathworks.com.
14. Nair, K.K., Kiremidjian, A.S. and Law, K.H. (2006), "Time series-based damage detection and localization algorithm with application to the ASCE benchmark structure", J. Sound Vib., 291(1-2), 349-368. (Pubitemid 43069454)
15. Sohn, H., Farrar, C.R., Hunter, N.F. and Worden, K. (2001), "Structural health monitoring using statistical pattern recognition techniques", J. Dyn. Syst. Meas. Control T.-ASME, 23(4), 706-711. (Pubitemid 33716002)
16. Song, Y.B. (2000), "Quick training method for multi-layer bp neural network and its application", Contr. Dec., 15(1), 125-127.
17. Sun, Z. and Chang, C.C. (2002), "Structural damage assessment based on wavelet packet transform", J. Struct. Eng. -ASCE, 128(10), 1354-1361. (Pubitemid 40001125)
18. Wenzel, H. (2009), Health monitoring of bridges, USA, John Wiley and Sons Ltd.
19. Wickerhauser M.V. (1994), Adapted wavelet analysis-from theory to software, (Ed. A.K. Peters), Welleslay, MA, USA.
20. Yang, L.N., Peng, L., Zhang, L.M., Zhang, L.L. and Yang S.S. (2009), "A prediction model for population occurrence of paddy stem borer based on back propagation artificial neural network and principal components analysis", Comput. Electron. Agr., 68(2), 200-206.
21. Yen, G.G. and Lin, K.C. (2000), "Wavelet packet feature extraction for vibration monitoring", IEEE T. Ind. Electron., 47(3), 650-667.
22. Yi, T.H., Li, H.N. and Gu M. (2012), "Recent research and applications of GPS-based monitoring technology for high-rise structures", Struct. Health Monit., 20(5), 649-670.
23. Zhang, H., Schulz, M.J., Ferguson, F. and Pai, P.F. (1999), "Structural health monitoring using transmittance functions", Mech. Syst. Signal Pr., 13(5), 765-787. (Pubitemid 30507801)
24. Zhang, L., Luo, J.H. and Yang S.Y. (2009), "Forecasting box office revenue of movies with BP neural network", Expert Syst. Appl., 36(3), 6580-6587.
25. Zheng, H. and Mita, A. (2009), "Localized damage detection of structures subject to multiple ambient excitations using two distance measures for autoregressive models", Struct. Health Monit., 8(3), 207-222.