International audienceThis paper presents a general framework for performing spatio-temporal multi-scale/multi-model coupling. Based on displacement continuity, this approach guarantees a global energy balance of the system in the context of the Arlequin method. It introduces specific interpolation of the Lagrange multipliers and parameters of time integration operators in the overlapping zone. A dual Schur implementation is then used. To illustrate the efficiency and robustness of the method, convergence analysis with numerical experiments is performed. Finally, 1D-1D and 2D-1D coupling applications are presented in which each subdomain is integrated in time, using different time steps and different schemes. This approach gives the user mo...
This PhD thesis sets the principles of the usage of model reduction in the framework of domain decom...
An ever-increasing number of scientific and engineering applications require modeling and computer s...
International audienceWe present a novel approach that allows two stochastic continuum models to be ...
International audienceThis paper addresses the explicit time integration for solving multi-model str...
International audienceThis paper addresses the explicit time integration for solving multi-model str...
A novel partitioned algorithm able to solve ODEs arising from transient structural dynamics is prese...
AbstractA novel partitioned algorithm able to solve ODEs arising from transient structural dynamics ...
183 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.The present multi-time-step c...
The Arlequin method [1], [2] is a general numerical modeling methodology that superposes models and ...
We present here our recent progress on the development of multiscale approaches for coupling concurr...
International audienceNumerical approaches allowing for the local analysis of global models are list...
International audienceIn this paper, we investigate the coupling of reduced models for the simulatio...
The coupling between two dissimilar numerical methods presents a major challenge, especially in case...
We propose a concurrent multiscale method for fracture coupling two three-dimensional continuum doma...
The coupling between two dissimilar numerical methods presents a major challenge, especially in case...
This PhD thesis sets the principles of the usage of model reduction in the framework of domain decom...
An ever-increasing number of scientific and engineering applications require modeling and computer s...
International audienceWe present a novel approach that allows two stochastic continuum models to be ...
International audienceThis paper addresses the explicit time integration for solving multi-model str...
International audienceThis paper addresses the explicit time integration for solving multi-model str...
A novel partitioned algorithm able to solve ODEs arising from transient structural dynamics is prese...
AbstractA novel partitioned algorithm able to solve ODEs arising from transient structural dynamics ...
183 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.The present multi-time-step c...
The Arlequin method [1], [2] is a general numerical modeling methodology that superposes models and ...
We present here our recent progress on the development of multiscale approaches for coupling concurr...
International audienceNumerical approaches allowing for the local analysis of global models are list...
International audienceIn this paper, we investigate the coupling of reduced models for the simulatio...
The coupling between two dissimilar numerical methods presents a major challenge, especially in case...
We propose a concurrent multiscale method for fracture coupling two three-dimensional continuum doma...
The coupling between two dissimilar numerical methods presents a major challenge, especially in case...
This PhD thesis sets the principles of the usage of model reduction in the framework of domain decom...
An ever-increasing number of scientific and engineering applications require modeling and computer s...
International audienceWe present a novel approach that allows two stochastic continuum models to be ...