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Vibro-acoustic analysis of laminated double glazing using the force identification method

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents a procedure for identifying wave forms and excitation frequencies of some forces applied on a given complex fluid-structure coupled system by using only its vibro-acoustic response. The considered concept is called the Independent Component Analysis (ICA) which is based on the Blind Source Separation (BSS). In this work, the ICA method is exploited in order to determine the excitation force applied to a thin-film laminated double glazing system enclosing a thin fluid cavity and limited by an elastic joint. The dynamic response of the studied fluid-structure coupled system is determined by finite element discretization and minimization of the homogenized energy functional of the coupled problem. This response will serve as the input for the ICA algorithm in order to extract the applied excitation.
Rocznik
Strony
895--904
Opis fizyczny
Bibliogr. 16 poz., rys.
Twórcy
autor
  • Mechanics, Modelling and Production Research Laboratory, Mechanical Engineering Department, National School of Engineers of Sfax, Sfax, Tunisia
autor
  • Mechanics, Modelling and Production Research Laboratory, Mechanical Engineering Department, National School of Engineers of Sfax, Sfax, Tunisia
autor
  • Mechanics, Modelling and Production Research Laboratory, Mechanical Engineering Department, National School of Engineers of Sfax, Sfax, Tunisia
autor
  • Mechanics, Modelling and Production Research Laboratory, Mechanical Engineering Department, National School of Engineers of Sfax, Sfax, Tunisia
autor
  • Mechanics, Modelling and Production Research Laboratory, Mechanical Engineering Department, National School of Engineers of Sfax, Sfax, Tunisia
Bibliografia
  • 1. Abbès M.S., Miladi Chaabane M., Akrout A., Fakhfakh T., Haddar M., 2011, Vibratory behavior of a double panel system by the operational modal analysis, International Journal of Modelling Simulation and Scientific Computing, 2, 4, 459-479
  • 2. Abdennadher M., Fenina S., Hammami L., Haddar M., 2005, Vibro-acoustic analysis of a double sandwich panels system, International Journal of Engineering Simulation, 6, 1, 3-9
  • 3. Akrout A., Hammami L., Karra C., Ben Tahar M., Haddar M., 2010, Vibro-acoustic damping simulation of two laminated glass panels coupled to viscothermal fluid layer, International Journal of Acoustics and Vibration, 15, 2, 79-90
  • 4. Akrout A., Miladi Chaabane M., Hammami L., Haddar M., 2012a, Edge stiffness effects on thin-film laminated double glazing system dynamical behavior by the operational modal analysis, Journal of Mechanics of Materials and Structures, 7, 8/9, 837-859
  • 5. Akrout A., Tounsi D., Taktak M., Abb`es M. S., Haddar M., 2012b, Estimation of dynamic system’s excitation forces by the independent component analysis, International Journal of Applied Mechanics, 4, 3, 1250032
  • 6. Antoni J., 2005, Blind separation of vibration components: principles and demonstration, Mechanical Systems and Signal Processing, 19, 1166-1180
  • 7. Cheng L., Li Y.Y., Gao J.X., 2005, Energy transmission in a mechanically linked double-wall structure coupled to an acoustic enclosure, Journal of the Acoustical Society of America, 117, 5, 2742-2751
  • 8. Comon P., 1994, Independent component analysis. A new concept? Signal Processing, 287-314
  • 9. Hammami L., Zghal B., Fakhfakh T., Haddar M., 2005, Modal approach for dynamical analysis of sandwich plates, International Journal of Computer Applications in Technology, 24, 4, 203-211
  • 10. Hérault J., Ans B., 1984, Réseaux de neurones `a synapses modifiables: Déecodage de messages sensoriels composites par un apprentissage non supervise et permanent, Comptes Rendus De l’Acadvémie des Sciences, śerie III, 525-528
  • 11. Hérault J., Jutten C., Ans B., 1985, Détection de grandeurs primitives dans un message composite par une architecture de calcul neuromim´etique en apprentissage non supervise, Actes du Xeme colloque GRETSI, Nice, France, 1017-1022
  • 12. Hyvärinen A., Oja E., 2000, Independent component analysis: algorithms and applications, IEEE Transactions on Neural Networks, 13, 4/5, 411-430
  • 13. Moreau E., Macchi O., 1993, New self-adaptive algorithms for source separation based on contrast functions, IEEE Signal Processing Workshop on Higher-Order Statistics, South Lac Tahoe, USA (CA), 215-219
  • 14. Taktak M., Tounsi D., Akrout A., Abb`es M. S., Haddar M., 2012, One stage spur gear transmission crankcase diagnosis using the independent components method, International Journal of Vehicle Noise and Vibration, 8, 4, 387-400
  • 15. Zarzoso V., Comon P., 2008, Robust independent component analysis for blind source separation and extraction with application in electrocardiography, 30th Annual International IEEE EMBS Conference, Vancouver, British Columbia, Canada
  • 16. Zarzoso V., Comon P., 2010, Robust independent component analysis by iterative maximization of the Kurtosis contrast with algebraic optimal step size, IEEE Transactions on Neural Networks, 21
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5349848b-ba74-49c6-9b47-2ec05d9597e8
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