Numerical simulation of metal forming processes with 3D adaptive Remeshing strategy based on a posteriori error estimation

To obtain such a field, a snapshot-POD is performed for the finite element stress field, which permits to ensure that the numerical complexity of evaluating the reduced order model

_ Ces grands benêts d'anges venus du ciel pensaient benoîtement y fêter le Nouveau Monde alors que les temps étaient passés par là, le Nouveau Monde ressemblait furieusement à

In particular, we must map abstract names and data to paths and files in the sense of the POSIX filesystem, and the working copies and reposito- ries of the abstract model must be

The Galerkin solution and the initial algebraic error distribution (after j 0 = 20 iterations) over the domain Ω are shown in Figure 3, while the global energy norm and the L-norm

Figure 6.2 displays the A L -seminorm of the error when using a fixed-point iteration scheme preconditioned with four different configurations of the L-adaptive precondi-

To improve the runtime performance of our simulator, we elaborated two strategies: the first consists in improving our linear solver by reducing the number of iterations using

We introduce a residual-based a posteriori error estimator for contact problems in two and three dimensional linear elasticity, discretized with linear and quadratic finite elements

The implicit residual problems are automatically localised using bubble functions living on the interior and facets of the cell, and the dual problem [38] is derived and