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Theoretical framework and experimental procedure for modelling mesoscopic volume fraction stochastic fluctuations in fiber reinforced composites
Authors:Johann Guilleminot  Christian Soize  Djimedo Kondo  Christophe Binetruy
Institution:1. Ecole des Mines de Douai, Department of Polymers and Composites Technology & Mechanical Engineering, 941 rue Charles Bourseul, BP 10838, 59508 Douai Cedex, France;2. Université Paris-Est, Laboratoire Modélisation et Simulation Multi Echelle, MSME FRE3160 CNRS, 5 bd Descartes, 77454 Marne-la-Vallee, France;3. Université des Sciences et Technologies de Lille, Laboratoire de Mécanique de Lille-UMR CNRS 8107, Cité Scientifique, Bd. Paul Langevin, 59655 Villeneuve d’Ascq Cedex, France
Abstract:Many engineering materials exhibit fluctuations and uncertainties on their macroscopic mechanical properties. This randomness results from random fluctuations observed at a lower scale, especially at the meso-scale where microstructural uncertainties generally occur. In the present paper, we first propose a complete theoretical stochastic framework (that is, a relevant probabilistic model as well as a non-intrusive stochastic solver) in which the volume fraction at the microscale is modelled as a random field whose statistical reduction is performed using a Karhunen–Loeve expansion. Then, an experimental procedure dedicated to the identification of the parameters involved in the probabilistic model is presented and relies on a non-destructive ultrasonic method. The combination of the experimental results with a micromechanical analysis provides realizations of the volume fraction random field. In particular, it is shown that the volume fraction can be modelled by a homogeneous random field whose spatial correlation lengths are determined and may provide conditions on the size of the meso-volumes to be considered.
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