Simplification method for domain multi-block structures generated by cross-field method

Purpose This paper aims to improve the quality of quadrilateral meshes by developing a method for cleaning and simplifying the topology structures generated by cross-field partitioning approaches, which significantly affect final mesh quality. Design/methodology/approach The method extracts topology information from sub-regions obtained from streamline partitioning and establishes relationships among them. Slender quadrilateral blocks and short edges are first identified through intrinsic characteristics of the sub-regions. Virtual topology operations are applied to resolve identified problem features. Findings The method successfully identifies and resolves problematic features in block structures, including slender quadrilateral blocks, short edges, and limit cycles. Testing on various models demonstrates improved mesh quality, with results validated through comparison with automatically generated quad meshes using Ansys. Originality/value This research contributes a novel approach to topology cleaning in cross-field-based quadrilateral mesh generation, addressing a critical challenge in automated mesh generation.

Authors

Institutions

Publication Details

Journal
Engineering Computations
Published
2026-01-02
DOI
https://doi.org/10.1108/ec-06-2025-0601
Primary Topic
Computational Geometry and Mesh Generation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simplification method for domain multi-block structures generated by cross-field method

Jiachen Xu, Lu Sun, Yuxuan Lv, Zhiwei Lu et al.
Engineering Computations
Computational Geometry and Mesh Generation
article

Simplification method for domain multi-block structures generated by cross-field method

Jiachen Xu, Lu Sun, Yuxuan Lv, Zhiwei Lu, Beiyan Jia
article en

Abstract

Purpose This paper aims to improve the quality of quadrilateral meshes by developing a method for cleaning and simplifying the topology structures generated by cross-field partitioning approaches, which significantly affect final mesh quality. Design/methodology/approach The method extracts topology information from sub-regions obtained from streamline partitioning and establishes relationships among them. Slender quadrilateral blocks and short edges are first identified through intrinsic characteristics of the sub-regions. Virtual topology operations are applied to resolve identified problem features. Findings The method successfully identifies and resolves problematic features in block structures, including slender quadrilateral blocks, short edges, and limit cycles. Testing on various models demonstrates improved mesh quality, with results validated through comparison with automatically generated quad meshes using Ansys. Originality/value This research contributes a novel approach to topology cleaning in cross-field-based quadrilateral mesh generation, addressing a critical challenge in automated mesh generation.

Engineering Computations
Dalian University of Technology (CN)
Openalex Percentile: Top 98%
Computational Geometry and Mesh Generation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Simplification method for domain multi-block structures generated by cross-field method — Jiachen Xu, Lu Sun, et al. · Engineering Computations (2026) | TGRS Research Map | TGRS