Programs in Physics & Physical Chemistry
|[Licence| Download | New Version Template] aeip_v1_0.tar.gz(13070 Kbytes)|
|Manuscript Title: A local rezoning and remapping method for unstructured mesh|
|Authors: Zhiwei Lin, Shaoen Jiang, Shunchao Wu, Longyu Kuang|
|Program title: Maxis|
|Catalogue identifier: AEIP_v1_0|
Distribution format: tar.gz
|Journal reference: Comput. Phys. Commun. 182(2011)1361|
|Programming language: Matlab.|
|Operating system: Windows/Linux/Unix.|
|RAM: 50 MB|
|Word size: 32 bits|
|Keywords: ALE Methods, Rezoning, Remapping, Mesh Closure, Mesh Union, Unstructured Mesh, ICF Simulation.|
|Classification: 12, 19.7.|
Nature of problem:
Although the great deformation of mesh elements moved with the fluid, which causes the severe shortening of computing time step and the increasing of computing error, makes it indispensable that the rezoning of distorted mesh and the remapping of physical variables such as density or velocity are performed, it still bothers people that the rezoning and remapping also bring in the loss of Lagrangian motion information of old mesh. Therefore the essential problem is how to minimize the error caused by remapping while improving the mesh quality.
The best method would be based on the remapping error estimation. Unfortunately, in practice, this method would be quite intricate. Instead of the error estimation we adopt the local rezoning and remapping technique to confine the error within the worse or 'not very important' areas, that is, only the worse areas are rezoned and remapped which are determined by the mesh-closure or mesh-union method.
It is sometimes annoying that there is no uniform criterion to distinguish the worse mesh elements from the good ones.
Since MULTI2D created by R. Ramis is used to fulfill the Lagrangian phase of the simulation of the ICF process, while our programs are called to perform the rezoning and remapping phases, it is required for non-MULTI2D users that our routines should be slightly reprogrammed.
1967 seconds for my example
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