3 edition of Three-dimensional unstructured grid refinement and optimization using edge swapping found in the catalog.
Three-dimensional unstructured grid refinement and optimization using edge swapping
by National Aeronautics and Space Administration, Ames Research Center, National Technical Information Service, distributor in Moffett Field, Calif, [Springfield, Va
Written in English
|Other titles||Three dimensional unstructured grid refinement ....|
|Statement||Amar Gandi and Timothy Barth.|
|Series||NASA technical memorandum -- 103966.|
|Contributions||Barth, Timothy J., Ames Research Center.|
|The Physical Object|
The finite element procedure consists in finding an approximate solution in the form of piecewise linear functions, piecewise quadratic, etc. For two-dimensional problems, one of the most frequently used approaches is to triangulate the domain and find the approximate solution which is linear, quadratic, etc., in every triangle. A condition which is considered essential is that the angle of. higher accuracy than for unstructured mesh: you can access points in all directions and build large stencils. octree based mesh refinement: the mesh is represented using an octree data structure, so the top level geometry is a box. refinement is much faster than for unstructured (on an unstructured mesh, the complete mesh is copied and.
The new scheme, which we call mesh relaxation, consists of a procedure for iteratively making the mesh topology more regular by edge swapping. For each interior edge, a relaxation index is computed that depends on the degrees of its end points and adjacent points. Any edge for which this index exceed a prescribed threshold will be swapped, i.e. generation front. Details of the grid generation algorithm are given, together with examples and timings. KEY WORDS Three-dimensional unstructured grids Advancing-front technique Grid generation 1. INTRODUCTION In recent years a wide variety of algorithms has been devised for the generation of unstructured grids around complex geometrical shapes.
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Algorithms for the generation of three-dimensional unstructured surface and volume grids are discussed. These algorithms are based on incremental insertion and local opti-mization. The present algorithms are very general and permit local grid optimization based on various measures of grid quality. SolidMesh (MSU-ERC, MSU): This unstructured grid generation system enables the user to create both 2D and 3D unstructured grids. Surface grids can be created in parametric space on the NURBS or by using a 3D point insertion method iterating between parametric space and physical space.
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Get this from a library. Three-dimensional unstructured grid refinement and optimization using edge swapping. [Amar Gandi; Timothy Barth; Ames Research Center.]. This paper presents a three-dimensional (3-D) 'edge-swapping method based on local transformations. This method extends Lawson's edge-swapping algorithm into 3-D.
The 3-D edge-swapping algorithm is employed for the purpose of refining and optimizing unstructured meshes according to arbitrary mesh-quality : Amar Gandhi and Timothy Barth. This paper presents a three-dimensional (3-D) "edge-swapping" method based on local transfor-mations. This method extends Lawson's edge-swapping algorithm into 3-D.
The 3-D edge-swapping algorithm is employed for the purpose of refining and optimizing unstructured meshes according to arbitrary mesh-quality measures. Three-dimensional unstructured grid refinement and optimization using edge-swapping. The 3-D edge-swapping algorithm is employed for the purpose of refining and optimizing unstructured.
Unstructured grid generation using iterative point insertion and local reconnection. Aerostructural Design Optimization Using a Multifidelity Quasi-Newton Method. Object-oriented three-dimensional hybrid grid generation.
1 January | International Journal for Numerical Methods in Engineering, Vol. 58, No. 2 Cited by: 3 UNSTRUCTURED GRID PARTITIONING METHOD.
Recently, an unstructured grid partitioning method has been developed by the authors, , . The definition of non-overlapping subdomains takes the form of a minimization problem with the interface length between subdomains considered as the cost function.
The optimization problem is solved using GAs. Unstructured Mesh Generation MIT • Overlay domain with regular grid, crop and warp edge points to boundary • Face and edge swapping important postprocessing of Delaunay meshes Figure Face-edge swapping Boundary Layer Meshes.
grids and three dimensional volume grids. Differing edge swapping optimization criterion are considered. Steiner triangulations in three dimensions are produced by placing new sites at circumsphere centers of the existing triangulation.
Motivation: 0 Develop fast automatic three-dimensional unstructured grid generation capability for. Edge swapping is commonly used to improve the quality of a mesh. It is not a panacea however, and its effects can sometimes propagate with undesirable results. This is particularly true for grids with high aspect ratio elements.
When edge swapping is repeatedly used to remove the large angle 0 in Fig. 4(b), the results are surprising. Three-dimensional adaptive grid method. Optimization algorithms for three-dimensional grids in domains of rotation. An adaptive unstructured grid method by grid subdivision, local remeshing, and grid movement.
Shahyar Pirzadeh; 14th. An unstructured grid adaptation technique has been developed and successfully applied to several three dimensional inviscid flow test cases. The approach is based on a combination of grid. After cell refinement, an edge swapping method (Delaunay triangulation) is applied to improve the cell quality.
Three-dimensional computational meshes are generated by a commercial code, named FELISA, which also has a capability for generating and adapting unstructured tetrahedral mesh. The grid optimization technique developed in this paper exploits an approach based on topological operators, similar to the edge swapping used by Freitag and Ollivier-Gooch.
Our approach will be shown to be well suited for improving grids for control-volume discretization techniques, as it has the ability to handle directional metrics which. This book includes an internal triangle tree data structure that has simplified the internal routines.
Three-dimensional unstructured grid refinement and optimization using edge-swapping. () Unstructured grid optimization for improved monotonicity of discrete solutions of elliptic equations with highly anisotropic coefficients. Journal of Computational Physics() Layered tetrahedral meshing of thin-walled solids for plastic injection molding FEM.
The parameters for the UPIC3dE simulations are specified in Table size of the computational domain indicated by the radius R D is set so that the potential at the boundaries reaches zero, i.e., the unperturbed value of the space (or plasma) potential, Φ es of the computational domains used are shown in Fig.
8 indicating the vastly different requirements needed to capture the. See [3, 5, 7, 8, 10, 12, 16] among many others for three-dimensional unstructured tetrahedral mesh optimization.
How to Subdivide Pyramids, Prisms, and Hexahedra into Tetrahedra. Conference Paper. Applications of dynamic hybrid grid method for three-dimensional moving/deforming boundary problems Computers & Fluids, Vol. 62 Analysis of the Stability and Control Characteristics of the F/AE Super Hornet using the Kestrel CFD Flow Solver.
Delaunay refinement is a technique for generating unstructured meshes of triangles for use in interpolation, the finite element method, and the finite volume method.
In theory and practice, meshes produced by Delaunay refinement satisfy guaranteed bounds on angles, edge lengths, the number of triangles, and the grading of triangles from small. The development of a parallel three-dimensional (3-D) adaptive mesh refinement (PAMR) scheme for an unstructured tetrahedral mesh using dynamic domain decomposition on a.
The adaption algorithm of Benson et al is extended to three dimensional unstructured grids, building on the previous extension to two dimensional unstructured grids.
R-refinement grid adaption is performed using a center of mass equation constructed from .Grid generation techniques • Structured grids • Ordered set of (locally orthogonal) lines • Several Techniques can be used to Map a computational domain into a physical domain: Transfinite Interpolation, Morphing, PDE Based, etc.
• The grid lines are curved to fit the shape of the boundaries • Unstructured. () Parallel grid generation/optimization using block-domain decomposition.
Communications in Applied Numerical Methods() Self adaptive mesh generation for 3-D finite element calculation.