This paper presents a novel approach to damage identification based on the phenomenon of elastic waves propagation. The theoretical background is the dynamic Virtual Distortion Method, which is capable of modelling both a reference excitation signal propagated in the structure over a time domain and a perturbed signal due to damaged locations. The related methodology is presented including a brief description of experimental verification. Numerical example with successful, multi-damage case identification is demonstrated. Advantages of the approach as well as its challenging points are discussed.
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References
1.
Akgun, M.A., Garcelon, J.H. and Haftka, R.T. 2001. “Fast Exact Linear and Non-linear Structural Reanalysis and the Sherman-Morrison-Woodbury Formulas,” International Journal for Numerical Methods in Engineering, 50: 1587–1606 .
2.
Choi, K. and Chang, F-K. 1996. “Identification of Impact Force and Location using Distributed Sensors,” AIAA Journal, 34: 136–142 .
3.
Holnicki-Szulc, J. and Gierlinski, J.T. 1995. Structural Analysis, Design and Control by the Virtual Distortion Method, J. Wiley & Sons, Chichester, U.K .
4.
Holnicki-Szulc, J. and Zielinski, T.G. 1999. “Damage Identification Method Based on Analysis of Perturbation of Elastic Waves Propagation,” In: Chang, Fu-Kuo (ed.), Structural Health Monitoring 2000, Proc. of the 2nd Int. Workshop, Stanford University, 8–16 September, USA.
5.
Holnicki-Szulc, J., Kolakowski, P., Motylewski, J., Orlowska, A., Swiercz, A., Wiacek, D. and Zielinski, T.G. “Long-distance, Gradient-Based Identification of Corrosion through Analysis of Piezo-generated Impulse Transmission,” In: Proc. of the 5th World Congress on Structural and Multidisciplinary Optimization, 19–23 May 2003, Lido di Jesolo-Venice, Italy, accepted.
6.
Kawiecki, G. 1998. “Feasibility of Applying Distributed Piezotransducers to Structural Damage Detection,” Jour. of Intelligent Material Systems and Structures, 9: 1–9 .
7.
Kawiecki, G. and Jesse, S. 2002. “Rosette Piezotransducers for Damage Detection,” Smart Materials and Structures, 11: 196–201 .
8.
Kolakowski, P. 2003. “Damage Identification by the Static Virtual Distortion Method,” Engineering Transactions, to appear.
9.
Kolakowski, P. and Holnicki-Szulc, J. 1998. “Sensitivity Analysis of Truss Structures (Virtual Distortion Method Approach)” , International Journal for Numerical Methods in Engineering, 43: 1085–1108 .
10.
Kolakowski, P. and Wiacek, D. 2002. DAMID – DAMage Identification for Dynamic Problems, Fortran Code, IFTR, Warsaw .
11.
Mahmoud, M.A. and Abu Kiefa, M.A. 1999. “Neural Network Solution of the Inverse Vibration Problem,” NDT&E International, 32: 91–99 .
12.
Moetakef, M.A., Joshi, S.P. and Lawrence, K.L. 1996. “Elastic Wave Generation by Piezoceramic Patches,” AIAA Journal, 34: 10-10 .
13.
PIEZODIAGNOSTICS — Smart Structural Diagnostics using Piezo-generated Elastic Waves — EU Growth Project No. G1RD-2001-00659.
