Damage identification for beams using ANN based on statistical property of structural responses

Computers and Structures

Volumn 86, Issue 1-2, 2008, Pages 64-71

  Li, Zhong Xian ^a   Yang, Xiao Ming ^a  

^a TIANJIN UNIVERSITY   (China)

Author keywords

Artificial neural network; Back propagation; Continuous beam; Damage identification; Numerical simulation; Statistical property

Indexed keywords

BACKPROPAGATION; COMPUTER SIMULATION; DAMAGE DETECTION; NEURAL NETWORKS; SENSITIVITY ANALYSIS; STATISTICAL METHODS;

CONTINUOUS BEAMS; DAMAGE IDENTIFICATION; DAMAGE INDICES; STATISTICAL PROPERTY; STRUCTURAL RESPONSE;

BEAMS AND GIRDERS;

EID: 37049008031     PISSN: 00457949     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compstruc.2007.05.034     Document Type: Article

References (17)

1. Alberto E.J., Jesus S.J., and Roberto G. Structural damage detection using the transformation matrix. Comput Struct 83 4-5 (2005) 357-368
2. Fang X., Luo H., and Tang J. Structural damage detection using neural network with learning rate improvement. Comput Struct 83 25-26 (2005) 2150-2161
3. Zou Y., Tong L., and Steven G.P. Vibration-based model-dependent damage (delamination) identification and health monitoring for composite structures-a review. J Sound Vibrat 230 2 (2000) 357-378
4. Sampaio R.P.C., Maia N.M.M., and Silva J.M.M. Damage detection using the frequency response-function curvature method. J Sound Vibrat 226 5 (1999) 1029-1042
5. Gawronski W., and Sawicki J.T. Structural damage detection using modal norms. J Sound Vibrat 229 1 (2000) 194-198
6. Jae L.J., Won L.J., et al. Neural networks-based damage detection for bridges considering errors in baseline finite element models. J Sound Vibrat 280 3-5 (2005) 555-578
7. Yan A.M., Kerschen G., De B.P., and Golinval J.C. Structural damage diagnosis under varying environmental conditions-Part I: A linear analysis. Mech Syst Signal Process 19 4 (2005) 847-864
8. Geoffrey C.J., Vincent B., and Barroso Luciana R. Efficient structural health monitoring for a benchmark structure using adaptive RLS filters. Comput Struct 83 8-9 (2005) 639-647
9. Shenfang Y., Lei W., and Ge P. Neural network method based on a new damage signature for structural health monitoring. Thin-Walled Struct 43 4 (2005) 553-563
10. Kao C.Y., and Shih-Lin H. Detection of structural damage via free vibration responses generated by approximating artificial neural networks. Comput Struct 81 28-29 (2003) 2631-2644
11. Yam H.L., Yan Y.J., and Jiang J.S. Vibration-based damage detection for composite structures using wavelet transform and neural network identification. Compos Struct 60 4 (2003) 403-412
12. Yong X., and Hong H. Statistical damage identification of structures with frequency changes. J Sound Vibrat 263 4 (2003) 853-870
13. Fugate Michael L., Sohn H., and Farrar Charles R. Vibration-based damage detection using statistical process control. Mech Syst Signal Process 15 4 (2001) 707-721
14. Yam L.H., Li Y.Y., and Wong W.O. Sensitivity studies of parameters for damage detection of plate-like structures using static and dynamic approaches. Eng Struct 24 11 (2002) 1465-1475
15. Tsung-yuan Y. Random vibration of structures (1986), Wiley, New York
16. Clough Ray W., and Joseph P. Dynamics of structures (2003), McGraw-Hill, Inc., New York
17. Kappos A.J. Dynamic loading and design of structures (2002), Spon Press, London and New York