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Improved adaptive mesh refinement for conformal hexahedral meshes
Advances in Engineering Software, 2016Abstract The h-refinement is a technique to achieve the mesh adaptation during a finite element simulation. Some elements are selected because the error is higher than a given threshold: they are split. This operation creates new elements where the size of the edges is divided by 2 in the zone of high error.
Gérald Nicolas +3 more
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2020
One of the advantages of element-based Galerkin methods is that they are geometrically flexible. We define geometric flexibility as the capacity of a method to handle unstructured meshes. This is important if, say, we wish to develop a general partial differential equation (PDE) solver for use in arbitrary domains (e.g., on complex geometries such as ...
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One of the advantages of element-based Galerkin methods is that they are geometrically flexible. We define geometric flexibility as the capacity of a method to handle unstructured meshes. This is important if, say, we wish to develop a general partial differential equation (PDE) solver for use in arbitrary domains (e.g., on complex geometries such as ...
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2017
This chapter is devoted to the automatic adaptive mesh refinement of polytopic meshes generated based on exploiting agglomeration of a given background geometry-conforming fine mesh. In particular, we exploit mesh partitioning techniques to design the underlying coarse mesh as well as for subdividing agglomerated elements marked for refinement.
Andrea Cangiani +3 more
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This chapter is devoted to the automatic adaptive mesh refinement of polytopic meshes generated based on exploiting agglomeration of a given background geometry-conforming fine mesh. In particular, we exploit mesh partitioning techniques to design the underlying coarse mesh as well as for subdividing agglomerated elements marked for refinement.
Andrea Cangiani +3 more
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2003
In the previous chapter the solution of linear equation systems was discussed. Often there are even optimal order methods, so that an equation system of n equations can be solved in O(n) operations. This is optimal in the sense that any method which produces an output of n numbers has at least O(n) complexity, even if the method is as simple as write ...
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In the previous chapter the solution of linear equation systems was discussed. Often there are even optimal order methods, so that an equation system of n equations can be solved in O(n) operations. This is optimal in the sense that any method which produces an output of n numbers has at least O(n) complexity, even if the method is as simple as write ...
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Truly Selective Refinement of Progressive Meshes
2001Proceedings of Graphics Interface 2001, Ottawa, Ontario, Canada, Canada, 7 - 9 June 2001, 101 ...
Junho Kim 0001, Seungyong Lee 0001
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Tetrahedral Mesh Refinement in Distributed Environments
2006 International Conference on Parallel Processing Workshops (ICPPW'06), 2006The adaptive mesh refinement is one of the main techniques used for the solution of partial differential equations. Since 3-dimensional structures are more complex, there are few refinement methods especially for parallel environments. On the other hand, many algorithms have been proposed for 2-dimensional structures.
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AMReX: Block-structured adaptive mesh refinement for multiphysics applications
International Journal of High Performance Computing Applications, 2021Weiqun Zhang +2 more
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Mesh Refinement for LBM Simulations on Cartesian Meshes
2018The use of mesh refinement in CFD is an efficient and widely used methodology to minimize the computational cost by solving those regions of high geometrical complexity with a finer grid. The author focuses on studying two methods, one based on multi-domain and one based on irregular meshing, to deal with mesh refinement over LBM simulations.
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Recurrent neural networks as optimal mesh refinement strategies
Computers and Mathematics With Applications, 2021Michael Feischl
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A multi-level and multi-site mesh refinement method for the 2D problems with microstructures
Mechanics of Advanced Materials and Structures, 2021Dinghe Li, Chao Zhang
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