4.7 Article

A Simple Automatic Hexahedron Mesh Generation and Polyhedral Smoothed Finite Element Method for Mechanics Problems

Journal

COMPUTER-AIDED DESIGN
Volume 152, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.cad.2022.103391

Keywords

Finite element method; Automatic mesh generation; Pure hexahedron; Smoothed finite element method; Polyhedron domain

Funding

  1. State Grid Corporation of China
  2. [5500-202099280A-0-0-00]

Ask authors/readers for more resources

In this paper, a new fully automatic pure hexahedron mesh generation technique is presented for an arbitrary 2D/3D geometric domain. Additionally, a polyhedral smoothed finite element method is proposed for efficient numerical simulation. Several demonstration examples are provided to verify the accuracy of the proposed methods.
A new fully automatic pure hexahedron mesh, called lotus mesh, generation technique of an arbitrary 2D/3D geometric domain and polyhedral smoothed finite element method (PSFEM) for efficient numerical simulation are presented. The lotus mesh algorithm is mainly based on the signed distance function (SDF) and the density function to generate nodes and control node density, respectively. We improved the generality of the SDF-based mesh method, realizing the meshing of 2D arbitrary polygons and 3D complex structures, and propose geometry-based adaptive meshing methods. In addition, to improve the stability and accuracy of lotus mesh, PSFEM based on smoothed finite method (SFEM) is proposed. Unlike the existing SFEM, this paper adopts an indirect way to calculate the stiffness matrix, which first calculates the transition matrix on the smoothed domain, and then maps it back to the real stiffness matrix through the transformation matrix, to address stiffness integral operation of the 3D complex polyhedron. Several demonstration examples are presented to verify the lotus mesh and its accuracy.(c) 2022 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available