Abstract2018-05-24T12:52:58+00:00

Optimization of a regularized distortion measure to generate curved high-order unstructured tetrahedral meshes

Author (s): Gargallo-Peiró, A.; Roca, X.; Peraire, J. and Sarrate, J.
Journal: International Journal for Numerical Methods in Engineering

Volume: 103, Issue 5
Pages: 342 – 363
Date: 2015

Abstract:
We present a robust method for generating high-order nodal tetrahedral curved meshes. The approach consists of modifying an initial linear mesh by first, introducing high-order nodes, second, displacing the boundary nodes to ensure that they are on the CAD surface, and third, smoothing and untangling the mesh obtained after the displacement of the boundary nodes to produce a valid curved high-order mesh. The smoothing algorithm is based on the optimization of a regularized measure of the mesh distortion relative to the original linear mesh. This means that whenever possible, the resulting mesh preserves the geometrical features of the initial linear mesh such as shape, stretching and size. We present several examples to illustrate the performance of the proposed algorithm. Furthermore, the examples show that the implementation of the optimization problem is robust and capable of handling situations in which the mesh before optimization contains a large number of invalid elements. We consider cases with polynomial approximations up to degree ten, large deformations of the curved boundaries, concave boundaries, and highly stretched boundary layer elements. The meshes obtained are suitable for high-order finite element analyses.

  
  

Bibtex:

@article {2015-IJNME-GRPS,
author = {Gargallo-Peiró, A. and Roca, X. and Peraire, J. and Sarrate, J.},
title = {Optimization of a regularized distortion measure to generate curved high-order unstructured tetrahedral meshes},
journal = {International Journal for Numerical Methods in Engineering},
volume = {103},
number = {5},
issn = {1097-0207},
url = {http://dx.doi.org/10.1002/nme.4888},
doi = {10.1002/nme.4888},
pages = {342--363},
year = {2015},
}