Experimental Investigation on Statistical Moment-based Structural Damage Detection Method

Abstract

Although vibration-based structural damage detection methods have demonstrated various degrees of success, the damage detection of civil structures still remains as a challenging task. The main obstacles include the insensitivity to local damage and the high sensitivity to measurement noise. A new structural damage detection method based on the statistical moments of dynamic responses of a structure has been recently proposed by the authors, and the numerical study manifested that the proposed method is sensitive to local structural damage but insensitive to measurement noise. The experimental investigation on this method is presented in this article. Three shear building models with and without damage were built and subjected to ground motions generated by a shaking table. The displacement and acceleration responses of each building model at each floor were recorded. The recorded ground motion and building responses as well as identified structural damping ratios were then used to identify damage locations and severities using the statistical moment-based damage detection method. The identified damage locations and severities were compared with the theoretical values. The comparison is found satisfactory, and the method proposed is effective and feasible.

Keywords

damage detection statistical moment experimental investigation sensitivity noise

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References

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.

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.

Salawu, O.S. (1997). Detection of structural damage through changes in frequency: a review. Engineering Structures, 19, 718-723.

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.

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.

Alvandi, A. and Cremona, C. ( 2006). Assessment of vibration-based damage identification techniques . Journal of Sound and Vibration, 292, 179-202.

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

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.

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.