Hakan GÖKDAĞ

4223

STRUCTURAL DAMAGE DETECTION FOR BEAMS SUBJECT TO MOVING LOAD USING PSO ALGORITHMS

In this work, damage detection (DD) method for beam structures subject to moving load is proposed. DD is formulated as an optimization problem and solved for crack locations and depths using three versions of the particle swarm optimization (PSO). It was observed that PSO with constriction factor is superior in the sense of convergence speed and robustness. Also, it was experienced that small cracks with depth ratio of 0.15 can be identified by the present method in spite of 3% noise interference. The proposed method is demonstrated to be better than wavelet transform method at higher moving load speeds
Keywords:

Damage detection, particle swarm optimization moving load,

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  • [1] Frýba, L., Vibration of Solids and Structures Under Moving Loads, Telford, 1999.
  • [2] Mahmoud, M.A., Effect of cracks on the dynamic response of a simple beam subject to a moving load. Proc. of the Inst. of Mech. Eng., 215, 207-215, 2001.
  • [3] Mahmoud, M.A., Abou Zaid, M.A., Dynamic response of a beam with a crack subject to a moving load. J. of Sound and Vib., 256(4), 591-603, 2002.
  • [4] Bilello, C., Bergman, L.A., Vibration of damaged beam under a moving mass: theory and experimental validation. J. of Sound and Vib., 274, 567-582, 2004.
  • [5] Lin, H.P., Chang, S.C., Forced responses of cracked cantilever beams subjected to a concentrated moving load. Int. J. of Mech. Sci., 48, 1456-1463, 2006.
  • [6] Ariaei, A., Ziaei-Rad, S., Ghayour, M., Vibration analysis of beams with open and breathing cracks subjected to moving masses. J. of Sound and Vib., 326, 709-724, 2009.
  • [7] Zhu, X.Q., Law, S.S., Wavelet-based crack identification of bridge beam from operational deflection time history. Int. J. of Solids and Struct., 43, 2299-2317, 2006.
  • [8] Hester, D., Gonzalez, A., A wavelet-based damage detection algorithm based on bridge acceleration response to a vehicle.Mech. Syst. and Signal Process. doi:10.1016/j.ymssp.2011.06.007.
  • [9] Nguyen, K.V., Tran, H.T., Multi-cracks detection of a beam-like structure based on the onvehicle vibration signal and wavelet analysis. J. of Sound and Vib., 329, 4455-4465, 2010.
  • [10] Khorram, A., Bakhtiari-Nejad, F., Rezaeian, M., Comparison studies between two wavelet based crack detection methods of a beam subjected to a moving load. Int. J. of Eng. Sci., 51, 204- 215, 2012.
  • [11] Gökdağ, H., Wavelet-based damage detection method for a beam-type structure carrying moving mass. Struct. Eng. and Mech. 38(1), 81-97, 2011.
  • [12] Doebling, S.W., Farrar, C.R., Prime, M.B., Shevitz, D.W., Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review. Rep. LA-13070- MS, UC-900, Los Alamos National Laboratory, USA, (1996).
  • [13] Biskas, P.N., Ziogos, N.P., Tellidou, A., Zoumas, C.E., Bakirtzis, A.G., Petridis, V., Comparison of two metaheuristics with mathematical programming methods for the solution of OPF. Proc. of the 13th IEEE Conf. on Intell. Syst. Appl. to Power Syst., doi:10.1109/ISAP.2005.1599316.
  • [14] Kennedy, J., Eberhart, R., Particle swarm optimization. Proc. of the 4th IEEE Int. Conf. on Neural Netw. 4, 1942-1948, 1995.
  • [15] Parsopoulos, K.E., Vrahatis, M.N., Particle swarm optimization and intelligence: Advances and Applications. IGI Global, 2010.
  • [16] http://www.swarmintelligence.org/tutorials.php (the last access date: 30.08.2012)
  • [17] Begambre, O., Laier, J.E., A hybrid particle swarm optimization–simplex algorithm (PSOS) for structural damage identification. Adv. in Eng. Softw. 40, 883-891, 2009.
  • [18] Moradi, S., Razi, P., Fatahi, L., On the application of bees algorithm to the problem of crack detection. Comput. and Struct. 89, 2169-2175, 2011.
  • [19] Seyedpoor, S.M., A two stage method for structural damage detection using a modal strain energy based index and particle swarm optimization. Int. J. of Non-Linear Mech. 47, 1-8, 2012.
  • [20] Buezas, F.S., Rosales, M.B., Filipich, C.P., Damage detection with genetic algorithms taking into account a crack contact model. Eng. Fract. Mech., doi:10.1016/j.engfracmech.2010.11.008
  • [21] Clough, R.W., Penzien, J., Dynamics of Structures. Comput. & Struct., Inc., 1995.
  • [22] Shi, Y., Eberhart, R. C., A modified particle swarm optimizer. IEEE World Congr. on Comput. Intell., doi:10.1109/ICEC.1998.699146.
  • [23] Chuan, L., Quanyuan, F., The standard particle swarm optimization algorithm convergence analysis and parameter selection. 3rd IEEE Int. Conf. on Nat. Comput. 3, 823-826, 2007.
  • [24] Shi, Y., Eberhart, R. C., Empirical study of particle swarm optimization. Proc. of Congr. on Evol. Comput. 3, 1945-1949, 1999.
  • [25] Zheng, Y-L., Ma, L-H., Zhang, L-Y., Qian, J-X., On the convergence analysis and parameter selection in particle swarm optimization. Proc. of the 2nd Int. Conf. on Mach. Learn. and Cybern. 3, 1802-1807, 2003.
  • [26] Clerc, M., Kennedy, J., The particle swarm-explosion, stability, and convergence in a multidimensional complex space. IEEE Trans. on Evol. Comput. 6(1), 58-73, 2002.
  • [27] Yamaguchi, T., Yasuda, K., Adaptive particle swarm optimization; self-coordinating mechanism with updating information. IEEE Int. Conf. on Syst., Man, and Cybern., 3, 2303-2308, 2006.
  • [28] Trelea, I. C., The particle swarm optimization algorithm: convergence analysis and parameter selection. Inf. Process. Lett., 85, 317-325, 2003.
  • [29] Clerc, M., Particle swarm optimization. ISTE Ltd, 2006.
International Journal of Engineering and Applied Sciences-Cover
  • Başlangıç: 2009
  • Yayıncı: Akdeniz Üniversitesi
Arşiv
Sayıdaki Diğer Makaleler

Hakan GÖKDAĞ

J. Afshari, M. Alizadeh

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