11 research outputs found
Mimetic Finite Difference methods for Hamiltonian wave equations in 2D
In this paper we consider the numerical solution of the Hamiltonian wave
equation in two spatial dimension. We use the Mimetic Finite Difference (MFD)
method to approximate the continuous problem combined with a symplectic
integration in time to integrate the semi-discrete Hamiltonian system. The main
characteristic of MFD methods, when applied to stationary problems, is to mimic
important properties of the continuous system. This approach, associated with a
symplectic method for the time integration yields a full numerical procedure
suitable to integrate Hamiltonian problems. A complete theoretical analysis of
the method and some numerical simulations are developed in the paper.Comment: 26 pages, 8 figure
Numerical results for mimetic discretization of Reissner-Mindlin plate problems
A low-order mimetic finite difference (MFD) method for Reissner-Mindlin plate
problems is considered. Together with the source problem, the free vibration
and the buckling problems are investigated. Full details about the scheme
implementation are provided, and the numerical results on several different
types of meshes are reported
Mixed finite element methods: implementation with one unknown per element, local flux expressions, positivity, polygonal meshes, and relations to other methods
International audienceIn this paper, we study the mixed finite element method for linear diffusion problems. We focus on the lowest-order Raviart--Thomas case. For simplicial meshes, we propose several new approaches to reduce the original indefinite saddle point systems for the flux and potential unknowns to (positive definite) systems for one potential unknown per element. Our construction principle is closely related to that of the so-called multi-point flux-approximation method and leads to local flux expressions. We present a set of numerical examples illustrating the influence of the elimination process on the structure and on the condition number of the reduced matrix. We also discuss different versions of the discrete maximum principle in the lowest-order Raviart--Thomas method. Finally, we recall mixed finite element methods on general polygonal meshes and show that they are a special type of the mimetic finite difference, mixed finite volume, and hybrid finite volume family
The Discrete Duality Finite Volume method for the Stokes equations on 3-D polyhedral meshes
International audienceWe develop a Discrete Duality Finite Volume (\DDFV{}) method for the three-dimensional steady Stokes problem with a variable viscosity coefficient on polyhedral meshes. Under very general assumptions on the mesh, which may admit non-convex and non-conforming polyhedrons, we prove the stability and well-posedness of the scheme. We also prove the convergence of the numerical approximation to the velocity, velocity gradient and pressure, and derive a priori estimates for the corresponding approximation error. Final numerical experiments confirm the theoretical predictions
Convergence analysis of the high-order mimetic finite difference method
We prove second-order convergence of the conservative variable and its flux in the high-order MFD method. The convergence results are proved for unstructured polyhedral meshes and full tensor diffusion coefficients. For the case of non-constant coefficients, we also develop a new family of high-order MFD methods. Theoretical result are confirmed through numerical experiments