Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Florent Pled"'
Publikováno v:
Materials, Vol 13, Iss 12, p 2826 (2020)
The aim of this work is to efficiently and robustly solve the statistical inverse problem related to the identification of the elastic properties at both macroscopic and mesoscopic scales of heterogeneous anisotropic materials with a complex microstr
Externí odkaz:
https://doaj.org/article/1c468fb6c783408383bf66ea76039f95
Autor:
Christophe Desceliers, Florent Pled
Publikováno v:
Archives of Computational Methods in Engineering
Archives of Computational Methods in Engineering, Springer Verlag, 2021, ⟨10.1007/s11831-021-09581-y⟩
Archives of Computational Methods in Engineering, Springer Verlag, 2022, ⟨10.1007/s11831-021-09581-y⟩
Archives of Computational Methods in Engineering, Springer Verlag, 2021, ⟨10.1007/s11831-021-09581-y⟩
Archives of Computational Methods in Engineering, Springer Verlag, 2022, ⟨10.1007/s11831-021-09581-y⟩
International audience; This review article revisits and outlines the perfectly matched layer (PML) method and its various formulations developed over the past 25 years for the numerical modeling and simulation of wave propagation in unbounded media.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cab4dfd74e3b010424ab4ef865c3a076
https://hal-upec-upem.archives-ouvertes.fr/hal-03196974/file/article_HAL.pdf
https://hal-upec-upem.archives-ouvertes.fr/hal-03196974/file/article_HAL.pdf
Publikováno v:
Computer Methods in Applied Mechanics and Engineering
Computer Methods in Applied Mechanics and Engineering, Elsevier, 2021, 373, pp.113540. ⟨10.1016/j.cma.2020.113540⟩
Computer Methods in Applied Mechanics and Engineering, Elsevier, 2021, 373, pp.113540. ⟨10.1016/j.cma.2020.113540⟩
International audience; This work addresses the inverse identification of apparent elastic properties of random heterogeneous materials using machine learning based on artificial neural networks. The proposed neural network-based identification metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c65c6aed236a9454faa5687dc4f6837
https://hal.archives-ouvertes.fr/hal-03000299v2/document
https://hal.archives-ouvertes.fr/hal-03000299v2/document
Publikováno v:
Mechanics & Industry. 23:28
Furniture failure generally appears at junctions between wooden parts. Failure prediction is a challenging problem considering the various technologies used for the assembly, the geometric dimensions of the wooden assembled parts and of the assembly
Publikováno v:
Computer Methods in Applied Mechanics and Engineering
Computer Methods in Applied Mechanics and Engineering, Elsevier, 2017, 327, pp.118-146. ⟨10.1016/j.cma.2017.08.047⟩
Computer Methods in Applied Mechanics and Engineering, Elsevier, 2017, 327, pp.118-146. ⟨10.1016/j.cma.2017.08.047⟩
International audience; We define an a posteriori verification procedure that enables to control and certify PGD-based model reduction techniques applied to parametrized linear elliptic or parabolic problems. Using the concept of constitutive relatio
Publikováno v:
Mechanics & Industry
Mechanics & Industry, EDP Sciences, 2019, 20 (6), pp.606. ⟨10.1051/meca/2019039⟩
Mechanics & Industry, EDP Sciences, 2019, 20 (6), pp.606. ⟨10.1051/meca/2019039⟩
International audience; Prediction of durability of wood product is a major challenge and an important goal for furniture industry. Numerical simulation based on approximation methods such as the finite element method (FEM) is an efficient and powerf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fae8278fee276e486dbb623d283de5a
https://hal-upec-upem.archives-ouvertes.fr/hal-02321441
https://hal-upec-upem.archives-ouvertes.fr/hal-02321441
Publikováno v:
3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019)
3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019), Jul 2019, Hersonissos, Crete Island, Greece
HAL
3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019), Jul 2019, Hersonissos, Crete Island, Greece
HAL
International audience; This work aims at predicting the damage of a human cortical bone specimen from in vivo actual data measurements and using a neural network trained and validated from a stochastic computational mechanical model. Within the cont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::02deffb8b06a26bd172e413f4ca4cf6b
https://hal-upec-upem.archives-ouvertes.fr/hal-02175561
https://hal-upec-upem.archives-ouvertes.fr/hal-02175561
Autor:
Anthony Nouy, Florent Pled
Publikováno v:
ESAIM: Mathematical Modelling and Numerical Analysis
ESAIM: Mathematical Modelling and Numerical Analysis, EDP Sciences, 2018, 52 (5), pp.1763-1802. ⟨10.1051/m2an/2018025⟩
ESAIM: Mathematical Modelling and Numerical Analysis, 2018, 52 (5), pp.1763-1802. ⟨10.1051/m2an/2018025⟩
ESAIM: Mathematical Modelling and Numerical Analysis, EDP Sciences, 2018, 52 (5), pp.1763-1802. ⟨10.1051/m2an/2018025⟩
ESAIM: Mathematical Modelling and Numerical Analysis, 2018, 52 (5), pp.1763-1802. ⟨10.1051/m2an/2018025⟩
A multiscale numerical method is proposed for the solution of semi-linear elliptic stochastic partial differential equations with localized uncertainties and non-linearities, the uncertainties being modeled by a set of random parameters. It relies on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1334ff423d61b898e6b3839f295b6d25
https://hal-upec-upem.archives-ouvertes.fr/hal-01507489
https://hal-upec-upem.archives-ouvertes.fr/hal-01507489
Publikováno v:
International Journal for Numerical Methods in Engineering. 93:1345-1380
The paper deals with the accuracy of guaranteed error bounds on outputs of interest computed from approximate methods such as the finite element method. A considerable improvement is introduced for linear problems thanks to new bounding techniques ba
Autor:
Ludovic Chamoin, Jan Neggers, Stéphane Roux, Florent Mathieu, François Hild, Florent Pled, Zvonimir Tomičević, Amine Bouterf, Hugo Leclerc
Publikováno v:
Advanced Modeling and Simulation in Engineering Sciences
Advanced Modeling and Simulation in Engineering Sciences, SpringerOpen, 2016, 3 (1), pp.1-26. ⟨10.1186/s40323-016-0070-z⟩
Advanced Modeling and Simulation in Engineering Sciences, 2016, 3 (1), pp.1-26. ⟨10.1186/s40323-016-0070-z⟩
Advanced Modeling and Simulation in Engineering Sciences, SpringerOpen, 2016, 3 (1), pp.1-26. ⟨10.1186/s40323-016-0070-z⟩
Advanced Modeling and Simulation in Engineering Sciences, 2016, 3 (1), pp.1-26. ⟨10.1186/s40323-016-0070-z⟩
International audience; Background: The goal of the present study is to illustrate the full integration of sensor and imaging data into numerical procedures for the purpose ofidentification of constitutive laws and their validation. The feasibility o