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Identification of a mesoscale model with multiscale experimental observations

Abstract : We consider a mesoscale modeling of a complex microstructure for which the medium is modeled with apparent properties represented by an elasticity-tensor random field. A complete methodology is proposed for the experimental identification of the random field at mesoscale (1) using image field measurements at macro- and mesoscales, (2) introducing two associated boundary value problems for which the change of scale is performed in the context of stochastic homogenization and (3) using statistical inverse methods. A validation will be presented for cortical bone with experimental simulations which measure displacement (or strain) fields at the macro- and mesoscales for a given sample submitted to a given load.
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Submitted on : Friday, January 31, 2014 - 5:47:25 PM
Last modification on : Saturday, February 5, 2022 - 4:46:03 PM
Long-term archiving on: : Thursday, April 6, 2017 - 8:48:16 PM


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  • HAL Id : hal-00862219, version 1



M.-T. Nguyen, Christophe Desceliers, Christian Soize. Identification of a mesoscale model with multiscale experimental observations. IUTAM Symposium on Multiscale Modeling and Uncertainty Quantification of Materials and Structures, IUTAM, Sep 2013, Santorini Island, Greece. pp.1-13. ⟨hal-00862219⟩



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