Zobrazeno 1 - 10
of 135
pro vyhledávání: '"Baranger Emmanuel"'
A Physics-Augmented Neural network is trained to model a hyperelastic behavior. The dataset used for the training, validation, and test are displacement-force couples obtained from two experiments on a rubber-like material. One experiment was dedicat
Externí odkaz:
http://arxiv.org/abs/2410.16304
The recent development of Physics-Augmented Neural Networks (PANN) opens new opportunities for modeling material behaviors. These approaches have demonstrated their efficiency when trained on synthetic cases. This study aims to demonstrate the effect
Externí odkaz:
http://arxiv.org/abs/2409.11763
Publikováno v:
MATEC Web of Conferences, Vol 318, p 01043 (2020)
Parametric simulations of thermomechanical metal forming processes still remain computational costly and difficult due to inherent strong non-linearities. To this end, Reduced Order Models (ROMs) are introduced to decrease the computational time in l
Externí odkaz:
https://doaj.org/article/7c560fa59edb4da2bb2fe7c4c3b6d55f
Publikováno v:
Science and Engineering of Composite Materials, Vol 18, Iss 4, Pp 259-264 (2011)
The objective of this work is to study the influence of the loading path on the lifetime of self-healing ceramic matrix composites. The loading can be of different types: mechanical, thermal or chemical. The self-healing process consists of filling s
Externí odkaz:
https://doaj.org/article/a413da07dec443a1ab7a4478ca0610ad
Autor:
Przybyla, Craig, Débarre, Antoine, Maire, Jean-François, Baranger, Emmanuel, Laurin, Frédéric
Publikováno v:
In Journal of the European Ceramic Society February 2025 45(2)
Autor:
Baranger Emmanuel
Publikováno v:
MATEC Web of Conferences, Vol 29, p 00009 (2015)
A modeling framework and the associated simulation tools are presented for the prediction of the mechanical behaviour and lifetime of CMC with self-healing matrix. A macroscopic anisotropic damage model enriched with micro information has been develo
Externí odkaz:
https://doaj.org/article/88c79f37572e431a84843f8ac1ddde06
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 15 May 2024 425
This work aims to interpolate parametrized Reduced Order Model (ROM) basis constructed via the Proper Orthogonal Decomposition (POD) to derive a robust ROM of the system's dynamics for an unseen target parameter value. A novel non-intrusive Space-Tim
Externí odkaz:
http://arxiv.org/abs/2102.09216
This work considers the stability of Proper Orthogonal Decomposition (POD) basis interpolation on Grassmann manifolds for parametric Model Order Reduction (pMOR) in hyperelasticity. The article contribution is mainly about stability conditions, all d
Externí odkaz:
http://arxiv.org/abs/2012.08851
Autor:
Fourrier, Guillaume, Rassineux, Alain, Leroy, François-Henri, Hirsekorn, Martin, Fagiano, Christian, Baranger, Emmanuel
Publikováno v:
In Composite Structures 15 March 2023 308