On Updating Finite Element Models of Real Structures Using Genetic Algorithm

• Autorzy: Touat N. , Pyrz M. , Rechak S.
• Konferencja: International Conference on Modelling and Simulation of the Friction Phenomena in the Physical and Technical Systems "FRICTION 2008" (5 ; 31.05-1.06.2008 ; Warsaw, Poland) ; French-Polish Seminar of Mechanics (16 ; 31.05-1.06.2008 ; Warsaw, Poland)
• Języki publikacji: EN

Abstrakty

EN

An efficient method of updating numerical models for dynamics problems is presented. The objective is to minimize the difference between measured and simulated vibration data. The corresponding optimization problem is formulated in the modal domain and solved using the genetic algorithm (GA) stochastic algorithm. Original modifications of a standard GA are proposed to improve the updating process efficacy. New versions of GA exploit the speeding up procedures developed in the novel accelerated random search (ARS) algorithm. A finite element model of a lumped mass structure is analyzed to validate the approach. A real beam-like structure model is updated, making use of experimental modal data. The enhanced GA enables us to obtain results well correlated with experiments.

Słowa kluczowe

EN

FEM; numerical modelling; genetic algorithm (GA); stochastic algorithm; accelerated random search (ARS)

PL

MES (metoda elementów skończonych); modelowanie numeryczne; algorytm genetyczny; algorytm stochastyczny; wyszukiwanie losowe

• Wydawca: Oficyna Wydawnicza Politechniki Warszawskiej
• Czasopismo: Machine Dynamics Problems
• Rocznik: 2008
• Tom: Vol. 32, No. 2
• Strony: 74--87
• Opis fizyczny: Bibliogr. 11 poz., tab., wykr.

Twórcy

autor

Touat N.

autor

Pyrz M.

autor

Rechak S.

• University of Science and Technology Houari Boumediene. Mechanical Engineering Department, Algiers, Algeria,

Bibliografia

• Appel, M.J., Labarre, R., Radulovic, D., 2004, On Accelerated Random Search, SIAM Journal on Optimization, 14, No 3, 708-731.
• Borges, C.C.H., Barbosa, H.J.C., Lemonge, A.C.C., 2007, A structural damage identification method based on genetic algorithm and vibrational data, Int. J. Num. Meth. Engng, 69, 2663-2686.
• Dasgupta, D., Michalewicz, Z., 1997, Evolutionary Algorithms in Engineering Applications, Springer Verlag, Berlin, Heidelberg, New-York.
• Friswell, M.I., Mottershead, J.E., 1995, Finite Element Model Updating in Structural Dynamics, Kluwer Academic Publishers.
• Kwon, K.S., Lin, R.M., 2005, Robust Finite element model updating using Taguchi method, Journal of Sound and Vibration, 280, 77-99.
• Levin, R.I., Lieven, N.A.J., 1998, Dynamic Finite Element Model Updating using Simulated Annealing and Genetic Algorithms, Mechanical Systems and Signal Processing, 12(1), 91-120.
• Mitsuo, G., Runwei, C., 2000, Genetic Algorithms and Engineering Optimization, J.Wiley, New York, Chichester, Weinheim, Brisbane, Singapore, Toronto.
• Mottershead, J.E., Friswell, M.I., 1993, Model updating in structural dynamics: a survey, Journal of Sound and Vibration, 167 (2) 347-375.
• Touat, N., 2008, Contribution aux Methodes de Correlation et Correction des Modeles d'Eléments Finis en utilisant le Algorithmes génétiques, Ph.D. Thesis, Université des Sciences et de la Technologie H-B, Algiers (in French).
• Touat, N., Pyrz, M., Rechak, S., 2007, Accelerated random search method for dynamic FE model updating, Engineering Computations, 24, Issue 5.
• Tu, Z., Lu, Y., 2007, FE model updating using artificial boundary conditions with genetic algorithms, Journal of Sound and Vibration, 86, Issues 7-8.