Content area

Abstract

Data processing plays a crucial role in finite element analysis. Mesh generation is one of the key steps in finite element analysis. By initially using triangular meshes for preliminary generation and subsequently converting them into quadrilateral meshes through appropriate data processing, it is possible to enhancing the efficiency of mesh generation and improving computational accuracy simultaneously. In this paper, an improved approach is implemented to automatically generate multi-constrained quadrilateral finite element meshes in two-dimensional domains based on the Q-Morph algorithm. By introducing a constraint-repairing sub-algorithm, the original algorithm’s concept is adapted to accommodate these additional constraints. Additionally, the cumbersome aspects of the original algorithm’s sub-algorithms for generating the top edges of quadrilateral elements and for removing extra triangles within quadrilaterals have been adjusted. The results of example tests indicate that the constrained quadrilateral meshes generated by the proposed algorithm exhibit characteristics such as relatively uniform mesh distribution and well-organized mesh shapes.

Details

1009240
Title
Research on Data Processing Algorithms in the Process of Finite Element Mesh Optimization
Author
Deng Na 1 ; Chao, Xun 2 

 School of Law, Xi’an Jiaotong University , Xi’an710049, China 
 School of Mechanical Engineering, Nanjing Institute of Technology , Nanjing 211167, China; Ningbo Jingqiong Machinery Manufacturing Co., Ltd. Ningbo, China 
Publication title
Volume
3004
Issue
1
First page
012019
Publication year
2025
Publication date
May 2025
Publisher
IOP Publishing
Place of publication
Bristol
Country of publication
United Kingdom
Publication subject
ISSN
17426588
e-ISSN
17426596
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
ProQuest document ID
3201501110
Document URL
https://www.proquest.com/scholarly-journals/research-on-data-processing-algorithms-process/docview/3201501110/se-2?accountid=208611
Copyright
Published under licence by IOP Publishing Ltd. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-05-09
Database
ProQuest One Academic