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Random matrices in structural acoustics

Christian Soize 1
1 Mechanics
MSME - Laboratoire de Modélisation et Simulation Multi Echelle
Abstract : This chapter is devoted to the predictions of complex structural-acoustic systems in the low and medium frequencies for which computational structural acoustic models are required. The presentation is limited to a bounded structure coupled with bounded internal acoustic cavities.. For complex systems, the main problem induced by such predictions is due to the incapacity of computational models (and of any another approaches) to represent a real complex system even if the model used is very sophisticated (multiscale modeling, very large number of degrees of freedom used in the finite element model, etc). This problem is induced by the presence of both the system-parameters uncertainties and the model uncertainties in the computational model and by the variabilities of the real complex system with respect to the design system. The objectives of this chapter is to model the uncertainties in the structural acoustic computational model by using the random matrix theory, but also to present a methodology to perform an experimental identification of the stochastic model and to present an experimental validation.
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Submitted on : Sunday, April 15, 2012 - 6:48:44 PM
Last modification on : Thursday, March 19, 2020 - 11:52:05 AM


  • HAL Id : hal-00687855, version 1



Christian Soize. Random matrices in structural acoustics. M. Wright and R. Weaver. New Directions in Linear Acoustics: Random Matrix Theory, Quantum Chaos and Complexity, Cambridge University Press, Cambridge, pp.206-230, 2010. ⟨hal-00687855⟩



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