Performance of vibration-based damage detection methods in bridges

Computer-Aided Civil and Infrastructure Engineering

Volumn 24, Issue 1, 2009, Pages 62-79

  Cruz, Paulo J S ^a   Salgado, Rolando ^a  

^a UNIVERSITY OF MINHO   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

MODAL ANALYSIS; RAILROAD BRIDGES; REINFORCED CONCRETE; VIBRATION MEASUREMENT;

BRIDGE ENGINEERING; DETECTION METHODS; MODAL IDENTIFICATION; STRUCTURAL CONDITION; STRUCTURAL MONITORING; VIBRATION MONITORING; VIBRATION PARAMETERS; VIBRATION-BASED DAMAGE DETECTION;

DAMAGE DETECTION;

BRIDGE; DAMAGE; DETECTION METHOD; IDENTIFICATION METHOD; PERFORMANCE ASSESSMENT; REINFORCED CONCRETE; VIBRATION;

EID: 57049144405     PISSN: 10939687     EISSN: 14678667     Source Type: Journal    
DOI: 10.1111/j.1467-8667.2008.00546.x     Document Type: Article

References (28)

1. Abdel Wahab, M. M. & De Roeck, G. (1999), Damage detection in bridges using modal curvatures: Application to a real damage scenario, Journal of Sound and Vibration, 226 (1), 217-35.
2. Adeli, H. & Jiang, X. (2006), Dynamic fuzzy wavelet neural network model for structural system identification, Journal of Structural Engineering, ASCE, 132 (1), 102-11.
3. Adeli, H. & Karim, A. (2005), Wavelets in Intelligent Transportation Systems, John Wiley and Sons, New York.
4. Alvandi, A. & Cremona, C. (2006), Assessment of vibration-based damage identification techniques, Journal of Sound and Vibration, 292, 179-202.
5. Brincker, R., Ventura, C. E. & Andersen, P. (2001), Damping estimation by frequency domain decomposition, in Proceedings of the 19th International Modal Analysis Conference (IMAC), Kissimmee, FL.
6. Brincker, R., Zhang, L. & Andersen, P. (2000), Modal identification from ambient responses using frequency domain decomposition, in Proceedings of the 18th International Modal Analysis Conference (IMAC), St. Antonio, TX.
7. Carrión, F. J. (2002), The application of time frequency intermediate functions to the analysis of vibration systems, Ph.D. dissertation, School of Engineering, Autonomous University of Querétaro, Querétaro, México (in Spanish).
8. Chang, C. C. & Sun, Z. (2005), Structural damage localization using spatial wavelet packet signature, Smart Structures and Systems, 1 (1), 29-46.
9. Chase, S. B. (2001), Smarter bridges, why and how?, Smart Material Bulletin, October, 9-13.
10. Coifman, R. R. & Wickerhauser, M. V. (1992), Entropy-based algorithms for base basic selection, IEEE Transactions on Information Theory, 38 (2), 713-18.
11. Doebling, S. W., Farrar, C. R., Prime, M. B. & Sevitz, 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.
12. Farrar, C. R. & Jauregui, D. A. (1998), Comparative study of damage identification algorithms applied to a bridge: I Experiment, Smart Materials and Structures, 7, 704-19.
13. Jiang, X. & Adeli, H. (2005) Dynamic wavelet neural network model for traffic flow forecasting, Journal of Transportation Engineering, ASCE, 131 (10), 771-79.
14. Jiang, X. & Adeli, H. (2007), Pseudospectra, MUSIC, and dynamic wavelet neural network for damage detection of highrise buildings, International Journal for Numerical Methods in Engineering, 71 (5), 606-29.
15. Jiang, X., Mahadevan, S. & Adeli, H. (2007), Bayesian wavelet packet denoising for structural system identification, Structural Control and Health Monitoring, 14 (2), 333-56.
16. Kim, J. T. & Stubbs, N. (1995), Model-uncertainty impact and damage-detection accuracy in plate girder, Journal of Structural Engineering, ASCE, 121, 1409-17.
17. Maeck, J. (2003), Damage assessment of civil engineering structures by vibration monitoring, Ph.D. dissertation, Catholic University of Leuven, Leuven, Belgium.
18. Mallat, S. (1999), A Wavelet Tour of Signal Processing, 2nd edn., Academic Press, New York.
19. Montalvão, D., Maia, N. M. M. & Ribeiro, A. M. R. (2006), A review of vibration-based structural health monitoring with special emphasis on composite materials, The Shock and Vibration Digest, 38 (4), 1-30.
20. Ndambi, J.-M., Vantomme, J. & Harri, K. (2002), Damage assessment in reinforced concrete beams using eigenfrequencies and mode shape derivatives, Engineering Structure, 24, 501-15.
21. Pandey, A. K., Biswas, M. & Samman, M. M. (1991), Damage detection from changes in curvature mode shapes, Journal of Sound and Vibration, 145, 321-32.
22. Peng, Z. K. & Chu, F. L. (2004), Application of the wavelet transform in machine condition monitoring and fault diagnostics: A review with bibliography, Mechanical Systems and Signal Processing, 18, 199-221.
23. Salgado, R. (2000), Development of a procedure for obtaining load factors in Mexican bridges, Master dissertation, National Autonomous University of Mexico, Mexico, D.F. (in Spanish).
24. Salgado, R. & Cruz, P. J. S. (2005), Detecting damage in structures using wavelet analysis, in The 5th International Workshop on Structural Health Monitoring; Proc. int. symp., Stanford, CA. USA, 12-14; 1809-16.
25. Salgado, R., Cruz, P. J. S., Ramos, L. F. & Lourenço, P. B. (2006), Comparison between damage detection methods applied to beam structures, Proceedings, IABMAS'06, Porto, PT.
26. Sohn, H., Farrar, C. R., Hemez, F. M., Shunk, D. D., Stinemates, D. W. & Nadler, B. R. (2003), A review of structural health monitoring literature: 1996-2001, Los Alamos National Laboratory Report, LA-13976-MS, 2003.
27. U.S. Department of Transportation, Federal Highway Administration FWA (2004), The status of the nation's highways and bridges: 2004 conditions and performance, FHWA Report.
28. Wilson, E. L. (2002), Three Dimensional Static and Dynamic Analysis of Structures: A Physical Approach with Emphasis on Earthquake Engineering, 3rd edn., Computers and Structures, Inc., Berkeley, CA.