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Identification of the elasticity tensor of an uncertain biomechanical computational model using axial transmission

Abstract : The purpose of this paper is the construction of an uncertain probabilistic model for the mechanical properties of the cortical bone. The main objective is firstly to propose a probabilistic simplified model adapted to the ultrasonic axial transmission technique and secondly to present an experimental identification using this technique. The simplified model is constructed as a fluid-solid semi-infinite multilayered system in which the solid layer (the cortical bone) is a nonhomogeneous anisotropic elastic material and the two others semi-infinite layers are fluids. The uncertainties are related to the elasticity tensor and are taken into account with a probabilistic model. In this paper, the parameters of the probabilistic model are the mean elasticity tensor and a dispersion coefficient. A complete application is presented for the human cortical bone for which an experimental database is available.
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Submitted on : Thursday, April 26, 2012 - 11:16:35 PM
Last modification on : Thursday, March 19, 2020 - 11:52:03 AM
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  • HAL Id : hal-00691747, version 1

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Christophe Desceliers, Christian Soize, Q. Grimal, M. Talmant, Salah Naili. Identification of the elasticity tensor of an uncertain biomechanical computational model using axial transmission. NOVEM 2009, Noise and Vibration: Emerging Methods, Klebe College, Oxford, Apr 2009, Oxford, United Kingdom. pp.1-7. ⟨hal-00691747⟩

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