Stochastic inverse problem using experiments for uncertain fluid-solid multilayer systems in ultrasonic domain

Christophe Desceliers (1) , Christian Soize (1) , Q. Grimal (2) , Guillaume Haiat (3) , Salah Naili (3)

1 LaM - Laboratoire de Mécanique
2 LIP - Laboratoire d'Imagerie Paramétrique
3 LMP - Laboratoire de mécanique physique

This communication deals with the experimental identification of the probabilistic model of fluid-solid multilayer systems for which the elasticity tensor of the solid layer is uncertain. The fluid-solid system is a three layers system made up of an elastic solid layer sandwiched between two acoustic fluid layers and excited in the ultrasonic range by an acoustic line source located in an acoustic fluid layer. The mean model of the elastic solid layer is represented by a homogeneous transverse isotropic material. Due to data and model uncertainties, the elasticity tensor is modeled by a random tensor corresponding to a homogeneous anisotropic elastic medium. The probability model of the random elasticity tensor is constructed using the information theory.

Mots clés: uncertaintu quantification; computational mechanics; robust updating

Domaines: Mécanique [physics.med-ph]; Probabilités [math.PR]

Christophe Desceliers, Christian Soize, Q. Grimal, Guillaume Haiat, Salah Naili. Stochastic inverse problem using experiments for uncertain fluid-solid multilayer systems in ultrasonic domain. USNCCM IX 2007, Ninth U. S. National Congress on Computational Mechanics, Jul 2007, San Francisco, United States. pp.2. ⟨hal-00698955⟩