Experimental investigation on statistical moment-based structural damage detection method

Structural Health Monitoring

Volumn 8, Issue 6, 2009, Pages 555-571

  Xu, Y L ^a   Zhang, J ^a   Li, J C ^b   Xia, Y ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

Damage detection; Experimental investigation; Noise; Sensitivity; Statistical moment

Indexed keywords

EID: 70350532152     PISSN: 14759217     EISSN: 17413168     Source Type: Journal    
DOI: 10.1177/1475921709341011     Document Type: Article

References (14)

1. Doebling, S.W., Farrar, C.R. and Prime, M.B. (1998). A summary review of vibration-based damage identification methods. The Shock and Vibration Digest, 30, 91-105.
2. Friswell, M.I. and Penny, J.E.T. (1997). Is damage location using vibration measurements practical? In: Dulieu-Smith, J.M., Staszewski, W.J. and Worden, K. (eds), Damage Assessment of Structures Using Advanced Signal Processing Procedures: DAMAS 97, pp. 351-362, Sheffield: Sheffield Academic Press.
3. Salawu, O.S. (1997). Detection of structural damage through changes in frequency: a review. Engineering Structures, 19, 718-723.
4. Pandey, A.K., Biswas, M. and Samman, M.M. (1991). Damage detection from changes in curvature mode shapes. Journal of Sound and Vibration, 145, 321-332.
5. Farrar, C.R. and Jauregui, D.A. (1998). Comparative study of damage identification algorithms applied to a bridge I. experiment. Smart Materials and Structures, 7, 704-719.
6. Alvandi, A. and Cremona, C. (2006). Assessment of vibration-based damage identification techniques. Journal of Sound and Vibration, 292, 179-202.
7. Link, M. (2001). Updating of analytical models - review of numerical procedures and application aspects. In: Ewins, D.J. and Inman, D.J. (eds), Structural Dynamics @2000: Current Status and Future Directions, Philadelphia, Research Studies Press, pp. 193-223.
8. Doebling, S.W., Farrar, C.R. and Prime, M.B. (1998). A summary review of vibration-based damage identification methods. The Shock and Vibration Digest, 30, 91-105.
9. Worden, K., Farrar, C.R., Manson, G. and Park, G. (2005). Fundamental axioms of structural health monitoring. Chang, F.K. (ed.), In: Structural Health Monitoring 2005: Advancements and Challenges for Implementation, pp. 26-41, Lancaster: DEStech Publications, Pennsylvania.
10. Zhang, J., Xu, Y.L., Xia, Y. and Li, J. (2008). A new statistical moment-based structural damage detection method. Structural Engineering and Mechanics-An International Journal, 30(4), 445-466.
11. Martin, H.R. (1989). Statistical moment analysis as a means of surface damage detection. In: Proceedings of the 7th International Modal Analysis Conference, Las Vegas, Nevada, pp. 1016-1021.
12. Shinozuka, M. and Jan, C.M. (1972). Digital simulation of random processes and its applications. Journal of Sound and Vibration, 25(1), 111-128.
13. Yang, J.N. and Lei, Y. (1999). Identification of natural frequencies and damping ratios of linear structures via Hilbert transform and empirical mode decomposition. In: Proceedings of International Conference on Intelligent Systems and Control, IASTED/ Acta Press, Anaheim, California, pp. 310-315.
14. Xu, Y.L., Chen, S.W. and Zhang, R.C. (2003). Modal identification of Di Wang Building under Typhoon York using HHT method. The Structural Design of Tall Buildings, 12(1), 21-47.