Published July 2021 | Version v1
Journal article

Efficient mesh generation utilizing an adaptive body centered cubic mesh

  • 1. Department of Mathematics, College of Science, Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447 (Korea, Republic of)
  • 2. Division of Medical Mathematics, National Institute for Mathematical Sciences, Yuseong-daero 1689beon-gil 70, Yuseong-gu, Daejeon, 34047 (Korea, Republic of)
  • 3. Department of Applied Mathematics, College of Applied Science, Kyung Hee University, 1732 Deogyeong-daero, Giheung-gu, Yongin-si, Gyeonggi-do, 17104 (Korea, Republic of)

Description

To generate a mesh in a physical domain, an initial mesh of a polygonal domain that approximates the physical domain is introduced. The initial mesh is formed by using a Body Centered Cubic (BCC) lattice that can give a more efficient node ordering for the matrix vector multiplication. An optimization problem is then considered for the displacement on the initial mesh points, which maintains a good quality of triangles while aiming at fitting the initial mesh to the boundary of the physical domain. In the optimization problem, a mesh quality function is employed. The Fréchet derivative of the objective function vanishes at the optimal solution and it gives a resulting nonlinear algebraic system for the optimal solution. The nonlinear algebraic system can be solved by using the Picard or Newton method. To resolve the complexity in the physical domain, a very fine initial mesh is often required but the solution time for the nonlinear algebraic system becomes problematic. To overcome this limitation, adaptively refined grid cells for the initial BCC mesh can be used and iterative solvers combined with a domain decomposition preconditioner can be used for solving the algebraic system in the Picard or Newton method. The use of iterative solvers with a domain decomposition preconditioner gives a parallel meshing algorithm that makes the proposed scheme more efficient for large scale problems. Numerical results for various test models are included.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.jcp.2021.110292

Additional details

Identifiers

DOI
10.1016/j.jcp.2021.110292;
PII
S002199912100187X;

Publishing Information

Journal Title
Journal of Computational Physics (Print)
Journal Volume
436
Journal Page Range
vp.
ISSN
0021-9991
CODEN
JCTPAH

Optional Information

Copyright
Copyright (c) 2021 Elsevier Inc. All rights reserved.