Some numerical simulations of multi-scale physical phenomena consume a significant amount of computational resources, since their domains are discretized on high resolution meshes. An enormous wastage of these resources occurs in refinement of sections of the domain where computation of the solution does not require high resolutions. This problem is effectively addressed by adaptive mesh refinement (AMR), a technique of local refinement of a mesh only in sections where needed, thus allowing concentration of effort where it is required. Sections of the domain needing high resolution are generally determined by means of a criterion which may vary depending on the nature of the problem. Fairly straightforward criteria could include comparing t...
International audienceThis paper provides a detailed comparison in a solids mechanics context of ada...
New adaptive local refinement (ALR) strategies are developed, the goal of which is to reach a given ...
The efficient use of computational resources while maintaining a certain level of solution accuracy ...
Some numerical simulations of multi-scale physical phenomena consume a significant amount of computa...
AbstractA graph-based implementation of quadtree meshes for dealing with adaptive mesh refinement (A...
Solutions to Partial Differential Equations (PDEs) are often computed by dis-cretizing the domain in...
University of Minnesota Ph.D. dissertation. August 2015. Major: Aerospace Engineering and Mechanics....
AbstractIn order to e xecute various finite-difference method applications on large-scale parallel c...
International audienceWe propose an adaptive mesh refinement (AMR) algorithm dedicated to the simula...
AbstractWe have investigated and analyzed the grid convergence issues for an adaptive mesh refinemen...
Meshes are a core part of almost any numerical simulation code. A good choice of mesh is crucial t...
Modern high-resolution numerical simulations of multiscale physical phenomena require enormous compu...
In this paper, we present an approach for a patch-based adaptive mesh refinement (AMR) for multi-phy...
This is the final report of a three-year, Laboratory Directed Research and Development (LDRD) projec...
In this paper some adaptive mesh refinement (AMR) strategies for finite element analysis of structur...
International audienceThis paper provides a detailed comparison in a solids mechanics context of ada...
New adaptive local refinement (ALR) strategies are developed, the goal of which is to reach a given ...
The efficient use of computational resources while maintaining a certain level of solution accuracy ...
Some numerical simulations of multi-scale physical phenomena consume a significant amount of computa...
AbstractA graph-based implementation of quadtree meshes for dealing with adaptive mesh refinement (A...
Solutions to Partial Differential Equations (PDEs) are often computed by dis-cretizing the domain in...
University of Minnesota Ph.D. dissertation. August 2015. Major: Aerospace Engineering and Mechanics....
AbstractIn order to e xecute various finite-difference method applications on large-scale parallel c...
International audienceWe propose an adaptive mesh refinement (AMR) algorithm dedicated to the simula...
AbstractWe have investigated and analyzed the grid convergence issues for an adaptive mesh refinemen...
Meshes are a core part of almost any numerical simulation code. A good choice of mesh is crucial t...
Modern high-resolution numerical simulations of multiscale physical phenomena require enormous compu...
In this paper, we present an approach for a patch-based adaptive mesh refinement (AMR) for multi-phy...
This is the final report of a three-year, Laboratory Directed Research and Development (LDRD) projec...
In this paper some adaptive mesh refinement (AMR) strategies for finite element analysis of structur...
International audienceThis paper provides a detailed comparison in a solids mechanics context of ada...
New adaptive local refinement (ALR) strategies are developed, the goal of which is to reach a given ...
The efficient use of computational resources while maintaining a certain level of solution accuracy ...