Zobrazeno 1 - 10
of 193
pro vyhledávání: '"P. Vigón"'
Publikováno v:
Journal of Advanced Joining Processes, Vol 9, Iss , Pp 100225- (2024)
This work investigates the fatigue crack growth behavior of adhesive joints under pure modes I and II within epoxy matrix composites reinforced with unidirectional carbon fibers. Experimental tests are made using Double Cantilever Beam (DCB) and End-
Externí odkaz:
https://doaj.org/article/0682f022a18d4b438ba47a1ccab4e667
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract This work analyses the fatigue delamination and fracture stress behaviour under mode I of adhesive joints made on an epoxy matrix composite material with unidirectional carbon fibre reinforcement and a commercial epoxy-based adhesive. DCB ty
Externí odkaz:
https://doaj.org/article/f06135c7501b47e9ba6b2ddd4202e89a
This paper presents a new finite difference method, called {\varphi}-FD, inspired by the {\phi}-FEM approach for solving elliptic partial differential equations (PDEs) on general geometries. The proposed method uses Cartesian grids, ensuring simplici
Externí odkaz:
http://arxiv.org/abs/2410.08042
It is well known that Newton's method, especially when applied to large problems such as the discretization of nonlinear partial differential equations (PDEs), can have trouble converging if the initial guess is too far from the solution. This work f
Externí odkaz:
http://arxiv.org/abs/2403.03021
The reduction of Hamiltonian systems aims to build smaller reduced models, valid over a certain range of time and parameters, in order to reduce computing time. By maintaining the Hamiltonian structure in the reduced model, certain long-term stabilit
Externí odkaz:
http://arxiv.org/abs/2311.06104
Autor:
Baty, Hubert, Vigon, Vincent
We present a novel numerical approach aiming at computing equilibria and dynamics structures of magnetized plasmas in coronal environments. A technique based on the use of neural networks that integrates the partial differential equations of the mode
Externí odkaz:
http://arxiv.org/abs/2310.17919
In this paper, we propose a method for constructing a neural network viscosity in order to reduce the non-physical oscillations generated by high-order Discontiuous Galerkin (DG) methods. To this end, the problem is reformulated as an optimal control
Externí odkaz:
http://arxiv.org/abs/2309.11795
This work deals with the modeling of plasmas, which are charged-particle fluids. Thanks to machine leaning, we construct a closure for the one-dimensional Euler-Poisson system valid for a wide range of collision regimes. This closure, based on a full
Externí odkaz:
http://arxiv.org/abs/2011.06242
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