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Article Dans Une Revue International Journal for Numerical Methods in Engineering Année : 2018

Hybrid parallel multigrid preconditioner based on automatic mesh coarsening for 3D metal forming simulations

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Frédéric Vi
  • Fonction : Auteur
  • PersonId : 1023666
Katia Mocellin
Etienne Perchat
  • Fonction : Auteur
Lionel Fourment

Résumé

A parallel multigrid (MG) method is developed to reduce the large computational costs involved by the finite element simulation of highly viscous fluid flows, especially those resulting from metal forming applications, which are characterized by using a mixed velocity/pressure implicit formulation, unstructured meshes of tetrahedra and frequent remeshings. The developed MG method follows a hybrid approach where the different levels of nonnested meshes are geometrically constructed by mesh coarsening, while the linear systems of the intermediate levels result from the Galerkin algebraic approach. A linear O(N) convergence rate is expected (with N the number of unknowns), while keeping software parallel efficiency. These objectives lead to selecting unusual MG smoothers (iterative solvers) for the upper grid levels and to developing parallel mesh coarsening algorithms along with parallel transfer operators between the different levels of partitioned meshes. Within the utilized PETSc library, the developed MG method is employed as a preconditioner for the usual Conjugate Residual algorithm because of the symetric undefinite matrix of the system to solve. It shows a convergence rate close to optimal, an excellent parallel efficiency, and the ability to handle the complex forming problems encountered in 3D hot forging, which involve large material deformations and frequent remeshings.
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Dates et versions

hal-01690887 , version 1 (23-01-2018)

Identifiants

Citer

Frédéric Vi, Katia Mocellin, Hugues Digonnet, Etienne Perchat, Lionel Fourment. Hybrid parallel multigrid preconditioner based on automatic mesh coarsening for 3D metal forming simulations. International Journal for Numerical Methods in Engineering, 2018, 114 (6), pp.598-618. ⟨10.1002/nme.5756⟩. ⟨hal-01690887⟩
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