Fractal Dimension-Based Crack Identification Technique of Composite Beams for On-Line SHM Systems

• Autorzy: Katunin A.
• Języki publikacji: EN

Abstrakty

EN

Due to the required high reliability of many responsible engineering constructions the structural health monitoring (SHM) systems must work in the on-line mode. Therefore, it is necessary to develop new fault detection techniques for improving faults detectibility and simultaneously to reduce the processing time of fault detection. In the present paper the crack identification technique based on the fractal dimension of composite beams was discovered. For the analysis the finite element method (FEM)-based simulation modal data were considered. The fractal dimension of obtained normal modes of the composite beam was estimated based on Higuchi's algorithm. Next, the displacement data were noised with various levels for simulating the real measurement conditions and the crack detectibility was determined for various crack depths. Obtained results show that proposed technique could be used in practical on-line SHM systems due to its noise robustness, simplicity and low time-consuming processing.

Słowa kluczowe

EN

crack detection; polymeric composites; fractal dimension; structural health monitoring; on-line diagnostics

• Wydawca: Oficyna Wydawnicza Politechniki Warszawskiej
• Czasopismo: Machine Dynamics Research
• Rocznik: 2010
• Tom: Vol. 34, No. 2
• Strony: 60--69
• Opis fizyczny: Bibliogr. 21 poz., wykr.

Twórcy

autor

Katunin A.

• Silesian University of Technology. Faculty of Mechanical Engineering, Department of Fundamentals of Machinery Design,

Bibliografia

• Burlaga, L. F., Klein, L. W., 1986, Fractal structure of the interplanetary magnetic field, Journal of Geophysical Research, 91, 347-350.
• Diamanti, K., Soutis, C., 2010, Structural health monitoring techniques for aircraft composite structures, Progress in Aerospace Sciences, 46, 342-352.
• Douka, E., Loutridis, S., Trochidis, A., 2003, Crack identification in beams using wavelet analysis, International Journal of Solids and Structures, 40, 3557-3569.
• Esteller, R., Echauz, J., Tcheng, T., Litt, B., Pless, B., 2001, Line length: an efficient feature for seizure onset detection, Proc. of the 23' Annual International Conference of the IEEE, 2, 1707-1710.
• Esteller, R., Vachtsevanos, G., Echauz, J., Litt, B., 1999, A comparison of fractal dimension algorithms using synthetic and experimental data, Proc. of the 1999 IEEE International Symposium of Circuits and Systems, 3, 199-202.
• Ghoneam, S. M., 1995, Dynamic analysis of open cracked laminated composite beams, Composite Structures, 32, 3-11.
• Hadjileontiadis, L. J., Douka, E., Trochidis, A., 2005, Fractal dimension analysis for crack identification in beam structures, Mechanical Systems and Signal Processing, 19, 659-674.
• Higuchi, T., 1988, Approach to an irregular time series on the basis of the fractal theory, PhysicaD, 31, 277-283.
• Katunin, A., 2010, Construction of high-order B-spline wavelets and their decomposition relations for faults detection and localization in composite beams, Acta Mechanica et Aulomatica, submitted.
• Katunin, A., 2010, Identification of multiple cracks in composite beams using discrete wavelet transform, Scientific Problems of Machines Operation and Maintenance, 45, 41-52.
• Katunin, A., 2010, Analytical model of the self-heating effect in polymeric laminated rectangular plates during bending harmonic loading, Eksploatacja i Niezawodność - Maintenance and Reliability, 48, 91-101.
• Katunin, A., Moczulski, W., 2010, Faults detection in layered composite structures using wavelet transform, Diagnostyka, 53, 27-32.
• Katz, M., 1988, Fractals and the analysis of waveforms, Computers in Biology and Medicine, 18, 145-156.
• Lee, Y. S., Chung, M. J., 2000, A study on crack detection using eigenfrequency test data, Computers and Structures, 11, 327-342.
• Loutridis, S., Douka, E., Trochidis, A., 2004, Crack identification in double-cracked beams using wavelet analysis, Journal of Sound and Vibration, 211, 1025-1039.
• Mandelbrot, B. B., 1983, The fractal geometry of nature, Freeman, N.Y.
• Mishra, A. K., Raghav, S., 2010, Local fractal dimension based on ECG arrhythmia classification, Biomédical Signal Processing and Control, 5, 114-123.
• Raghavendra, B. S., Dutt, D. N., 2010, Computing fractal dimension of signals using multiresolution box-counting method, International Journal of Engineering and Mathematical Sicences, 6, 53-68.
• Rucka, M., Wilde, K., 2006, Crack identification using wavelets on experimental static deflection profiles, Engineering Structures, 28, 279-288.
• Sevcik, C., 1998, A procedure to estimate fractal dimension of waveforms, Complexity International, 5, http://www.complexity.org.au/ci/vol05/sevcik/sevcik.html.
• Wang, J., Qiao, P., 2008, On irregularity-based damage detection method for cracked beams, International Journal of Solids and Structures, 45, 688-704.