Zobrazeno 1 - 10 of 58 pro vyhledávání: '"Fabrice Detrez"'
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Akademický článek
Identification of anisotropic properties of polymer sheets from heterogeneous biaxial tests
Autor: Hanane Attar, Yun-Mei Luo, Luc Chevalier, Thanh Tung Nguyen, Fabrice Detrez
Publikováno v: Polymer Testing, Vol 115, Iss , Pp 107721- (2022)
The stretch blowing process for PET bottle induces the anisotropic mechanical properties due to the different elongation of macromolecular chains. For example, the Young's modulus can be multiplied by almost two in the longitudinal direction and more
Externí odkaz: https://doaj.org/article/e014a922807041bda3e2f4b99c5da883
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4
Modélisation électromécanique non linéaire multi-échelle de nanocomposites graphène-polymère
Autor: Julien Yvonnet, Fabrice Detrez, Xiaoxin Lu, Jinbo Bai
Publikováno v: Nanocomposites
Ce chapitre présente un cadre de modélisation multi échelle pour les composites graphène-polymère sur la base de calculs numériques appliqués à des volumes élémentaires représentatifs (VER). Les applications concernent la prédiction de la
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cee9647672a1fe1b879e283c680f5694
https://doi.org/10.51926/iste.9031.ch6
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5
Identification of elastic properties of interphase and interface in graphene-polymer nanocomposites by atomistic simulations
Autor: Fabrice Detrez, Xiaoxin Lu, Jinbo Bai, Julien Yvonnet
Publikováno v: Composites Science and Technology
Composites Science and Technology, Elsevier, In press, ⟨10.1016/j.compscitech.2021.108943⟩
International audience; This article tackles the problem of identification of elastic continuum model by atomistic simulations for graphene polymer nanocomposite. The Atomistic Local IdentificAtion of Stiffness method, so-called ALIAS method, is deve
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a41b28e782f89d18c0791432bb9fd7d
https://hal.archives-ouvertes.fr/hal-03284839
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6
Full-field elastic simulations for image-based heterogeneous structures with a Coarse Mesh Condensation Multiscale Method
Autor: Julien Yvonnet, Fabrice Detrez, Minh Vuong Le, Nicolas Feld
Publikováno v: International Journal for Multiscale Computational Engineering
International Journal for Multiscale Computational Engineering, Begell House, 2020, 18 (3), pp.305-327
HAL
International audience; Micro tomography images allow obtaining fully detailed microstructural descriptions of heterogeneous materials and structures. To evaluate the effects of local gradients induced by the boundary conditions, it might be of inter
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8005d551047318702e7a7acda9f482a2
https://hal-upec-upem.archives-ouvertes.fr/hal-02618234/document
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7
The Coarse Mesh Condensation Multiscale Method for parallel computation of heterogeneous linear structures without scale separation
Autor: Minh Vuong Le, Julien Yvonnet, Nicolas Feld, Fabrice Detrez
Publikováno v: Computer Methods in Applied Mechanics and Engineering
Computer Methods in Applied Mechanics and Engineering, Elsevier, 2020
Computer Methods in Applied Mechanics and Engineering, Elsevier, 2020, 363, pp.112877
HAL
Accepted; International audience; A Coarse Mesh Condensation Multiscale Method (CMCM) is proposed to solve large heterogeneous linear structures without scale separation assumption. The technique aims to approximate the full field solution in heterog
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0b0f7e331685e7755eae4fde9e44a54
https://hal-upec-upem.archives-ouvertes.fr/hal-02451108/document
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8
A two-scale FE2 method using neural networks
Autor: Julien Yvonnet, Xiaoxin Lu, Fabrice Detrez, Jinbo Bai
Publikováno v: MORTech 2019-5th international Workshop on Reduced Basis, POD and PGD Model Reduction Techniques
MORTech 2019-5th international Workshop on Reduced Basis, POD and PGD Model Reduction Techniques, Nov 2019, Paris, France
HAL
International audience
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7fd56a2a5a0994b7d929c6e310026c90
https://hal-upec-upem.archives-ouvertes.fr/hal-02566007
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10
A data-driven computational homogenization method based on neural networks for the nonlinear anisotropic electrical response of graphene/polymer nanocomposites
Autor: Fabrice Detrez, Xiaoxin Lu, Julien Yvonnet, Dimitris G. Giovanis, Vissarion Papadopoulos, Jinbo Bai
Publikováno v: Computational Mechanics
Computational Mechanics, Springer Verlag, 2019, 64 (2), pp.307-321. ⟨10.1007/s00466-018-1643-0⟩
In this paper, a data-driven-based computational homogenization method based on neural networks is proposed to describe the nonlinear electric conduction in random graphene-polymer nanocomposites. In the proposed technique, the nonlinear effective el
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc505344c98f2c049e106f791ce1b0d0
https://hal.archives-ouvertes.fr/hal-02265344
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