An adapted coarse space for Balancing domain decomposition method to solve nonlinear elastodynamic problems
نویسنده
چکیده
This work is devoted to present a scalable domain decomposition method to solve nonlinear elastodynamic problems. Large non linear elastodynamic problems represent an appropriate application field for substructuring methods which are efficient on parallel computer with the proviso of using specific preconditioner techniques well adapted to the mechanical modeling. According to this reason, we develop an adapted Balancing domain decomposition method [Man93, LeT94] appropriated to solve this kind of systems. By using the theoretical framework of Schwarz additive decomposition method [LeT94, LMV98] and by using arguments developed in [ABLV00], we propose a two level Neumann-Neumann preconditioner based on the construction of a coarse space of "lower energy" modes adapted to finite deformations problems with dynamic process. In section 1, nonlinear elastodynamic problems and domain decomposition frameworks are recalled. The section 2 is devoted to present the definition of an adapted coarse space by using Schwarz additive formulation. The construction of the two level Neumann-Neumann preconditioner is detailled in section 3. In last section 4, we test the efficiency of this updated Balancing domain decomposition method on numerical solutions of an academic non linear dynamic problem.
منابع مشابه
A 738
New nonlinear FETI-DP (dual-primal finite element tearing and interconnecting) and BDDC (balancing domain decomposition by constraints) domain decomposition methods are introduced. In all these methods, in each iteration, local nonlinear problems are solved on the subdomains. The new approaches can significantly reduce communication and show a significantly improved performance, especially for ...
متن کاملNonlinear FETI-DP and BDDC Methods
New nonlinear FETI-DP (dual-primal finite element tearing and interconnecting) and BDDC (balancing domain decomposition by constraints) domain decomposition methods are introduced. In all these methods, in each iteration, local nonlinear problems are solved on the subdomains. The new approaches can significantly reduce communication and show a significantly improved performance, especially for ...
متن کاملA Balancing Domain Decomposition Method for Magnetostatic Problems with a Multigrid Strategy
A balancing domain decomposition (BDD) method is considered as a preconditioner of the iterative domain decomposition method (DDM) for magnetostatic problems. The BDD method enables us to keep convergence properties of the iterative DDM even if the number of subdomains increases. However, in case of magnetostatic problems, the dimension of the coarse problem required in the BDD procedure depend...
متن کاملBalancing domain decomposition for mortar mixed finite element methods
The balancing domain decomposition method for mixed finite elements by Cowsar, Mandel, and Wheeler is extended to the case of mortar mixed finite elements on non-matching multiblock grids. The algorithm involves an iterative solution of a mortar interface problem with one local Dirichlet solve and one local Neumann solve per subdomain on each iteration. A coarse solve is used to guarantee that ...
متن کاملSpace-time balancing domain decomposition
In this work, we propose two-level space-time domain decomposition preconditioners for parabolic problems discretized using finite elements. They are motivated as an extension to space-time of balancing domain decomposition by constraints preconditioners. The key ingredients to be defined are the sub-assembled space and operator, the coarse degrees of freedom (DOFs) in which we want to enforce ...
متن کامل