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Mesh generation

GENERAL CONSIDERATIONS RELATED TO FINITE ELEMENT MESH GENERATION... [Pg.191]

Variational methods - theoretically the variational approach offers the most powerful procedure for the generation of a computational grid subject to a multiplicity of constraints such as smoothness, uniformity, adaptivity, etc. which cannot be achieved using the simpler algebraic or differential techniques. However, the development of practical variational mesh generation techniques is complicated and a universally applicable procedure is not yet available. [Pg.195]

In the majority of practical finite element simulations the mesh generation is conducted in conjunction with an interactive graphics tool to allow feedback and continuous monitoring of the computational grid. [Pg.196]

The development of more robust, accurate, flexible and versatile mesh generation methods for facilitating the application of modern computational schemes is an area of active research. [Pg.196]

Mesh generation features. Structured mesh, interactive mesh generation. Structured mesh. Structured mesh multiblock. Unstructured mesh, multiblock interface to PATRAN and IDEAS. Unstructured. [Pg.827]

Computational fluid dynamics (CFD) programs are more specialized, and most have been designed to solve sets of equations that are appropriate to specific industries. They can then include approximations and correlations for some features that would be difficult to solve for directly. Four major packages widely used are Fluent (http //www.fluent.com/), CFX (now part of ANSYS), Comsol Multiphysics (formerly FEMLAB) (http //www.comsol.com/), and ANSYS (http //www.ansys.com/). Of these, Comsol Multiphysics is particularly useful because it has a convenient graphical-user interface, permits easy mesh generation and refinement (including adaptive mesh refinement), allows the user to add phenomena and equations easily, permits solution by continuation methods (thus enhancing... [Pg.58]

In order to perform space discretization, the domain over which the governing equations apply is filled with a predetermined mesh or grid. The mesh is made up of nodes (i.e. grid points) and/or elements at which the physical quantities (i.e. unknowns) are evaluated. Neighbouring points are used to calculate derivatives. Mesh generation is a very complex task for applied problems and many different approaches to it have been developed and are currently under study [74-77], First of all, computational grids are classified as structured or unstructured meshes, even if each of these classes comprises a broad fist of meshing techniques. [Pg.75]

A detailed description of mesh generation theory goes beyond the present book and the reader can refer to literature [74-77], However, it is important to underline that the accuracy and the stability of any numerical computation are significantly influenced by the particular meshing strategy. [Pg.76]

Owen S.J., Shephard M.S., 2003. Trends in unstructured mesh generation. Special Issue, International Journal for Numerical Methods in Engineering 58(2). [Pg.92]

Rebay, S. (1993) Efficient unstructured mesh generation by means of Delaunay triangulation and Bowyer-Watson algorithm, J. Comp. Phys. 106 (1), 125... [Pg.61]

The main practical difficulty in optimizing the geometry of solvated molecules arises from the fact that Efv(p, p ) is not, in general, a continuous function of the parameters A . Discontinuities are indeed introduced by the mesh generator. Efficient, robust geometry optimization procedures for solvated molecules are still to be designed. [Pg.44]

P. Laug and H. Borouchaki, BLSURF - Mesh Generator for Composite Parametric Surfaces -User s Manual, INRIA Rapport Technique 0235 (1999)... [Pg.62]

The refined mesh given above was used in the axial direction the radial mesh used n = 3, y = 0.25,0.5,0.75. It was found possible to use the same mesh throughout in the t-domain, due to the freedom to vary the scaling factor a. This avoided heuristic searching for a new mesh for each new set of parameters. Automatic mesh generation was not felt to be worthwhile, in view of the extra costs involved and the relatively underdeveloped state of the art (24). [Pg.295]

The constituent subprocesses of discretisation consist of mesh generation (determining the types of mesh elements), space discretisation and time discretisation. [Pg.253]


See other pages where Mesh generation is mentioned: [Pg.191]    [Pg.192]    [Pg.195]    [Pg.199]    [Pg.48]    [Pg.378]    [Pg.378]    [Pg.384]    [Pg.164]    [Pg.252]    [Pg.324]    [Pg.324]    [Pg.332]    [Pg.336]    [Pg.389]    [Pg.296]    [Pg.8]    [Pg.155]    [Pg.166]    [Pg.428]    [Pg.252]    [Pg.252]    [Pg.253]    [Pg.253]    [Pg.254]    [Pg.2764]    [Pg.509]   
See also in sourсe #XX -- [ Pg.324 , Pg.332 , Pg.336 ]

See also in sourсe #XX -- [ Pg.252 , Pg.254 ]




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