DOI QR코드

DOI QR Code

Damage detection in plates based on pattern search and Genetic algorithms

  • Ghodrati Amiri, G. (Center of Excellence for Fundamental Studies in Structural Engineering, School of Civil Engineering, Iran University of Science & Technology) ;
  • Seyed Razzaghi, S.A. (Center of Excellence for Fundamental Studies in Structural Engineering, School of Civil Engineering, Iran University of Science & Technology) ;
  • Bagheri, A. (Center of Excellence for Fundamental Studies in Structural Engineering, School of Civil Engineering, Iran University of Science & Technology)
  • 투고 : 2010.02.07
  • 심사 : 2010.11.04
  • 발행 : 2011.02.25

초록

This paper is aimed at presenting two methods on the basis of pattern search and genetic algorithms to detect and estimate damage in plates using the modal data of a damaged plate. The proposed methods determine the damages of plate structures using optimization of an objective function by pattern search and genetic algorithms. These methods have been applied to two numerical examples, namely four-fixed supported and cantilever plates with and without noise in the modal data and containing one or several damages. The obtained results clearly reveal that the proposed methods can be viewed as a powerful and reliable method for structural damage detection in plates using the modal data.

키워드

참고문헌

  1. Al-Sumait, J.S., Al-Othman, A.K. and Sykulski, J.K. (2007), "Application of pattern search method to power system valve-point economic load dispatch", Int. J. Elect. Power, 29(10), 720-730. https://doi.org/10.1016/j.ijepes.2007.06.016
  2. Bagheri, A., Ghodrati Amiri, G. and Seyed Razaghi, S.A. (2009), "Vibration-based damage identification of plate structures via curvelet transform", J. Sound. Vib., 327(3-5), 593-603. https://doi.org/10.1016/j.jsv.2009.06.019
  3. Bayissa, W., Haritos, N. and Thelandersson, S. (2008), "Vibration-based structural damage identification using wavelet transform", Mech. Syst. Signal Pr., 22(5), 1194-1215. https://doi.org/10.1016/j.ymssp.2007.11.001
  4. Biondi, T., Ciccazzo, A., Cutello, V., D'Antona, S., Nicosia, G. and Spinella, S. (2006), "Multi-objective evolutionary algorithms and pattern search methods for circuit design problems", J. Univers. Comput. Sci., 12(4), 432-449.
  5. Box, G.E.P. (1957), "Evolutionary operation: A method for increasing industrial productivity", J. Appl. Stat., 6(2), 81-101. https://doi.org/10.2307/2985505
  6. Casciati, S. (2008), "Stiffness identification and damage localization via differential evolution algorithms", Struct. Health Monit., 15(3), 436-449. https://doi.org/10.1002/stc.236
  7. Cawley, P. and Adams, R.D. (1979), "Defect location in structures by a vibration technique", Proceedings of the American Society of Mechanical Engineers Design Engineering Technical Conference, St. Louis.
  8. Chang, C.C. and Chen, L.W. (2004), "Damage detection of a rectangular plate by spatial wavelet based approach", Appl. Acoust., 65(8), 819-832. https://doi.org/10.1016/j.apacoust.2004.01.004
  9. Chou, J. and Ghaboussi, J. (2001), "Genetic algorithm in structural damage detection", Comput. Struct., 79(14), 1335-1353. https://doi.org/10.1016/S0045-7949(01)00027-X
  10. Coelho, L.S. and Mariani, V.C. (2006), "Combining of chaotic differential evolution and quadratic programming for economic dispatch optimization with valve-point effect", IEEE T. Power. Syst., 21(2), 989-96. https://doi.org/10.1109/TPWRS.2006.873410
  11. Cornwell, P., Doebling, S.W. and Farrar, C.R. (1999), "Application of the strain energy damage detection method to plate-like structures", J. Sound. Vib., 224(2), 359-374. https://doi.org/10.1006/jsvi.1999.2163
  12. Doebling, S.W., Farrar, C.L., Prime, M.B. and Shevitz, D.W. (1996), "Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: a literature review", Los Alamos National Laboratory Report, LA-13070-MS.
  13. Douka, E., Loutridis, S. and Trochidis, A. (2004), "Crack identification in plates using wavelet analysis", J. Sound. Vib., 270(1-2), 279-295. https://doi.org/10.1016/S0022-460X(03)00536-4
  14. Fan, W. and Qiao, P. (2009), "A 2-D continuous wavelet transform of mode shape data for damage detection of plate structures", Int. J. Solids Struct., 46(25-26), 4379-4395. https://doi.org/10.1016/j.ijsolstr.2009.08.022
  15. Goldberg, D. (1989), Genetic algorithms in search, optimization and machine learning, Addison-Wesley, Reading, Mass.
  16. Hadjileontiadis, L.J. and Douka, E. (2007), "Crack detection in plates using fractal Dimension", Eng. Struct., 29(7), 1612-1625. https://doi.org/10.1016/j.engstruct.2006.09.016
  17. Haupt, R.L., and Haupt, S.E. (2004), Practical Genetic Algorithms, John Wiley & Sons, Hoboken, NJ.
  18. Holland, J. (1975), Adaptation in natural and artificial systems, MIT Press, Cambridge, Mass.
  19. Hooke, R. and Jeeves, T.A. (1961), "Direct search solution of numerical and statistical problems", J. ACM, 8(2), 212-229. https://doi.org/10.1145/321062.321069
  20. Lewis, R.M., Torczon, V. and Trosset, M.W. (2000), "Direct search methods: then and now", J. Comput. Appl. Math., 124(1-2), 191-207. https://doi.org/10.1016/S0377-0427(00)00423-4
  21. Lewis, R.M. and Torczon, V.J. (1999), "Pattern search algorithms for bound constrained minimization", SIAM J. Optimiz., 9(4), 1082-1099. https://doi.org/10.1137/S1052623496300507
  22. Lewis, R.M. and Torczon, V. (2002), "A globally convergent augmented Lagrangian pattern search algorithm for optimization with general constraints and simple bounds", SIAM J. Optimiz., 12(4), 1075-1089. https://doi.org/10.1137/S1052623498339727
  23. Mares, C. and Surace, C. (1996), "Application of genetic algorithms to identify damage in elastic structures", J. Sound. Vib., 195(2), 195-215. https://doi.org/10.1006/jsvi.1996.0416
  24. MATLAB (2005), Matlab User Manual, Mathwork Inc., Lowell, MA, U.S.A.
  25. Perera, R. and Torres, R. (2006), "Structural damage detection via modal data with genetic algorithms", J. Struct. Eng- ASCE, 132(9), 1491-1501. https://doi.org/10.1061/(ASCE)0733-9445(2006)132:9(1491)
  26. Rucka, M. and Wilde, K. (2006), "Application of continuous wavelet transform in vibration based damage detection method for beams and plates", J. Sound. Vib., 297(3-5), 536-550. https://doi.org/10.1016/j.jsv.2006.04.015
  27. Salawu, O.S. (1997), "Detection of structural damage through changes in frequency: a review", Eng. Struct., 19(9), 718-723. https://doi.org/10.1016/S0141-0296(96)00149-6
  28. Swann, W.H. (1972), Direct search methods, in Numerical Methods for Unconstrained Optimization, (Ed. W. Murray), Academic Press, London, New York.
  29. Wang, Q. and Deng, X. (1999), "Damage detection with spatial wavelets", Int. J. Solids Struct., 36(23), 3443- 3468. https://doi.org/10.1016/S0020-7683(98)00152-8
  30. Yoon, M., Heider, K.D., Gillespie, J.W., Ratcliffe, C.P. and Crane, R.M. (2005), "Local damage detection using the two-dimensional gapped smoothing method", J. Sound. Vib., 279(1-2), 119-139. https://doi.org/10.1016/j.jsv.2003.10.058
  31. Yun, G.J., Ogorzalek, K.A., Dyke, S.J. and Song, W. (2009), "A Two-Stage Damage Detection Approach Based on Subset Selection and Genetic Algorithms", Smart Struct. Syst., 5(1), 1-21. https://doi.org/10.12989/sss.2009.5.1.001

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  8. An efficient multi-stage optimization approach for damage detection in plate structures vol.112, 2017, https://doi.org/10.1016/j.advengsoft.2017.06.015
  9. Control of structures under uniform hazard earthquake excitation via wavelet analysis and pattern search method vol.20, pp.5, 2013, https://doi.org/10.1002/stc.510
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  15. Improved data expansion method used in damage detection method vol.7, pp.1, 2017, https://doi.org/10.1007/s13349-016-0205-4
  16. Damage prognosis by means of modal residual force and static deflections obtained by modal flexibility based on the diagonalization method vol.22, pp.7, 2013, https://doi.org/10.1088/0964-1726/22/7/075032
  17. Optimization-based method for structural damage localization and quantification by means of static displacements computed by flexibility matrix vol.48, pp.4, 2016, https://doi.org/10.1080/0305215X.2015.1017476
  18. Application of Extreme Learning Machine to Damage Detection of Plate-Like Structures vol.17, pp.07, 2017, https://doi.org/10.1142/S0219455417500687
  19. A new method for damage prognosis based on incomplete modal data via an evolutionary algorithm vol.18, pp.3, 2014, https://doi.org/10.1080/19648189.2014.881758
  20. Identification of Flexural Rigidity in Bridges with Limited Structural Information vol.144, pp.8, 2018, https://doi.org/10.1061/(ASCE)ST.1943-541X.0002131
  21. Damage assessment in plate-like structures using a two-stage method based on modal strain energy change and Jaya algorithm pp.1741-5985, 2019, https://doi.org/10.1080/17415977.2018.1454445
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  26. Output-only structural parameter identification with evolutionary algorithms and correlation functions vol.29, pp.3, 2020, https://doi.org/10.1088/1361-665x/ab6ce9
  27. Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019 vol.491, pp.None, 2011, https://doi.org/10.1016/j.jsv.2020.115741
  28. Review on Vibration-Based Structural Health Monitoring Techniques and Technical Codes vol.13, pp.11, 2021, https://doi.org/10.3390/sym13111998