Modélisation multi-échelle et analyse expérimentale du comportement de composites à matrice thermoplastique renforcés fibres de verre sous sollicitations dynamiques modérées

Abstract : The current work focuses on the development of a micromechanical modeling tool in the form of a virtual test machine which, used with the structural calculation codes, allows to determine the complex anisotropic behavior of polypropylene matrix composites reinforced with short glass fibers under dynamic loading. The core-skin microstructure induced by the material injection process is investigated experimentally by μCT. The dynamic behavior is characterized for strain rates of up to 200s-1 using an experimental methodology based on the use of a damping joint and specimen optimization. The mechanisms of damage are analyzed experimentally by in situ SEM testing. They highlight the importance of the debonding phenomenon in the damage scenario. Based on these experimental results, the multiscale approach developed consists of an incremental Mori Tanaka method applied to an elastoviscoplastic matrix and coated reinforcements integrating the evolution of damage at the mesoscopic scale. The damage introduced into the coatings disturbs the load transfer between the matrix and the reinforcements. In addition, the strain rate, orientation, and fiber rate dependence of the model are correlated by testing. The virtual testing machine is validated by modeling structures. The developed predictive tool thus takes into account the minimum necessary to describe the microstructure while being reliable and relevant in the modeling of composites under moderate dynamic stress.
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Submitted on : Thursday, September 13, 2018 - 12:46:18 PM
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  • HAL Id : tel-01873504, version 1

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Nadia Achour. Modélisation multi-échelle et analyse expérimentale du comportement de composites à matrice thermoplastique renforcés fibres de verre sous sollicitations dynamiques modérées. Mécanique des matériaux [physics.class-ph]. Ecole nationale supérieure d'arts et métiers - ENSAM, 2017. Français. ⟨NNT : 2017ENAM0062⟩. ⟨tel-01873504⟩

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