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Tytuł artykułu

Detection and Localization of Cracks in Composite Beams Using Fractal Dimension-Based Algorithms : a Comparative Study

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In the presented study the possibility of application of algorithms, which based on the estimation of fractal dimension for the problems of damage detection in localization in composite structures was considered. Four algorithms were compared with respect to accuracy of detection and localization of damages in a composite beam and unambiguity of obtained results. Thanks to the low complexity of the computational algorithms, which based on fractal dimension they could be successfully applied in the diagnosing and monitoring real-time systems and even implemented in hardware.
Słowa kluczowe
Rocznik
Strony
27--36
Opis fizyczny
Bibliogr. 35 poz., wykr.
Twórcy
autor
  • Institute of Fundamentals of Machinery Design, Silesian University of Technology
autor
  • Institute of Fundamentals of Machinery Design, Silesian University of Technology
Bibliografia
  • 1. West W., 1984: Illustration of the use of modal assurance criterion to detect structural changes in an orbiter test specimen, Proceedings of the Air Force Conference on Aircraft Structural Integrity, 1984,1, 1-6.
  • 2. Ewins D., 1985: Modal Testing: Theory and Practice, Wiley, 1985, New York.
  • 3. Lieven N., Ewins D., 1988: Spatial correlation of mode shapes: The coordinate modal assurance criterion (comac), Proceedings of the 6th International Modal Analysis Conference, 1988, 1, 690-695.
  • 4. Palacz M., Krawczuk M., 2002: Vibration parameters for damage detection in structures, Journal of Sound and Vibration, 2002, 249, 999-1010.
  • 5. Hu H., Wang J., 2009: Damage detection of a woven fabric composite laminate using a modal strain energy method, Engineering Structures, 2009, 31, 1042-1055.
  • 6. Ismail Z., Abdul Razak H., Abdul Rahman A.G ., 2006: Determination of damage location in RC beams using mode shape derivatives, Engineering Structures, 2006, 28, 1566-1573.
  • 7. Surace C., Ruotolo R., 1994: Crack detection of a beam using the wavelet transform, Proceedings of 12th International Modal Analysis Conference, 1994, 1, 1141-1147.
  • 8. Douka E., Loutridis S., Trichidis A., 2003: Crack identification in beams using wavelet analysis, International Journal of Solids and Structures, 2003, 40, 3557-3569.
  • 9. Gentile A., Messina A., 2003: On the continuous wavelet transforms applied to discrete vibrational data for detecting open cracks in damaged beams, International Journal of Solids and Structures, 2003,40, 295-315.
  • 10. Rucka M., Wilde K., 2006: Application of continuous wavelet transform in vibration based damage detection method for beams and plates, Journal of Sound and Vibration, 2006, 297, 536-550.
  • 11. Katunin A., 2010: Identification of multiple cracks in composite beams using discrete wavelet transform, Scientific Problems of Machines Operation and Maintenance, 2010, 45, 41-52.
  • 12. Katunin A., 2011: The construction of high-order B-spline wavelets and their decomposition relations for fault detection and localisation in composite beams, Scientific Problems of Machines Operation and Maintenance, 2011, 46, 43-59.
  • 13. Katunin A., 2013a: Crack identification in composite beam using causal B-spline wavelets of fractional order, Modelowanie Inżynierskie, 2013, 15, 57-63.
  • 14. Katunin A., 2013b: Modal-based non-destructive damage assessment in composite structures using wavelet analysis: A review, International Journal of Composite Materials, 2013, 3, 1-9.
  • 15. Mandelbrot B.B., 1967: How long is the coast of Britain? Statistical self-similarity and fractional dimension, Science, 1967, 156, 636-638.
  • 16. Katunin A., 2010: Fractal dimension-based crack identification technique of composite beams for on-line SHM systems, Machine Dynamics Research, 2010, 34, 60-69.
  • 17. Burlaga, L.F., Klein, L .W., 1986: Fractal structure of the interplanetary magnetic field, Journal of Geophysical Research, 1986, 91, 347-350.
  • 18. Katz, M., 1988: Fractals and the analysis of waveforms, Computers in Biology and Medicine, 1988, 18, 145-156.
  • 20. Higuchi, T., 1988: Approach to an irregular time series on the basis of the fractal theory, Physica D, 1988, 31, 277-283
  • 21. Petrosian A., 1995: Kolmogorov complexity of finite sequences and recognition of different preictal EEG patterns, Proceedings of IEEE Symposium on Computer-Based Medical Systems, 1995, 212-217.
  • 22. Sevcik C., 2006: On fractal dimension of waveforms, Chaos Solitons and Fractals, 2006, 28, 579-580.
  • 23. Gnitecki J., Moussavi Z., 2005: The fractality of lung sounds: A comparison of three waveform fractal dimension algorithms, Chaos Solitons and Fractals, 2005, 26, 1065-1072.
  • 24. Accardo A., Affinito M., Carrozzi M., Bouguet F., 1997: Use of the fractal dimension for the analysis of electroencephalographic time series, Biological Cybernetics, 1997, 77, 339-350.
  • 25. Preissl H., Lutzenberger W., Pulvermuller F., Birbaumer N., 1997: Fractal dimensions of short EEG time series in humans, Neuroscience Letters, 1997, 225, 77-80.
  • 26. Mishra A.K., Raghav S., 2010: Local fractal dimension based on ECG arrhythmia classification, Biomedical Signal Processing and Control, 2010, 5, 114-123.
  • 27. Hadjileontiadis L .J., Douka E., Trochidis A., 2005: Fractal dimension analysis for crack identification in beam structures, Mechanical Systems and Signal Processing, 2005, 19, 659-674.
  • 28. Wang J., Qiao P., 2007: Improved damage detection for beam-type structures using a uniform load surface, Structural Health Monitoring 2007, 6, 99-110.
  • 29. Wang J., Qiao P. 2008: On irregularity-based damage detection method for cracked beams, International Journal of Solids and Structures, 2008, 45, 688-704.
  • 30. Radzieński M., Krawczuk M., Palacz M., 2011: Improvement of damage detection methods based on experimental modal parameters, Mechanical Systems and Signal Processing, 2011, 25, 2169-2190.
  • 31. Bai R.B., Cao M.S., Su Z., Ostachow icz W., Xu H., 2012.: Fractal dimension analysis of higher-order mode shapes for damage identification of beam structures, Mathematical Problems in Engineering, 2012, 2012, 454568.
  • 32. Cao M.S., Ostachowicz W., Bai R.B., Radzieński M., 2013: Fractal mechanizm for characterizing singularity of mode shape for damage detection, Applied Physics Letters, 2013, 103, 221906.
  • 33. Esteller R., Vachtsevanos G., Echauz J., Litt B., 1999: A comparison of fractal dimension algorithms using synthetic and experimental data, Proceedings of the 1999 IEEE International Symposium of Circuits and Systems, 1999, 3, 199-202.
  • 34. Raghavendra B.S., Dutt D.N., 2010: Computing fractal dimension of signals using multiresolution box-counting method, International Journal of Engineering and Mathematical Sciences, 2010, 6, 53-68.
  • 35. 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, 2010, 48, 91-101.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-74441bec-c29f-4e2a-b206-ca0f99bb816c
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