A novel approach for large-scale hybrid mesh generation on distributed systems

This study presents an approach for the generation of a large-scale viscous mesh using a parallel advancing layer method based on distributed systems with multi-cores. A triangular surface mesh that conforms with the original geometrical model is prepared as input and decomposed into multiple subdomains. A coarser background mesh with high-quality viscous elements from the same model is employed for parallel computation. Instead of using a conventional approach to generate layer-wise prismatic elements, a normal calculation through linear interpolation is implemented to overcome the boundary problems arising in distributed systems. A novel strategy to deal with cross-processor transition elements is proposed to reduce frequent communications during viscous mesh generation. To improve the parallel efficiency, a fast domain decomposition method is introduced to speed up the parallel meshing procedure of tetrahedral elements. Numerical experiments are performed on high-performance computing systems with billions of mesh elements to demonstrate the effectiveness and efficiency of the proposed approach and numerical simulation results represent a promising applicability.

Authors

Institutions

Publication Details

Journal
Engineering Applications of Computational Fluid Mechanics
Published
2024-11-29
DOI
https://doi.org/10.1080/19942060.2024.2430656
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

A novel approach for large-scale hybrid mesh generation on distributed systems

Hongfei Ye, Jianjun Chen, Yao Zheng, Bohan Wang
Engineering Applications of Computational Fluid Mechanics
Computational Geometry and Mesh Generation
article

A novel approach for large-scale hybrid mesh generation on distributed systems

Hongfei Ye, Jianjun Chen, Yao Zheng, Bohan Wang
article en

Abstract

This study presents an approach for the generation of a large-scale viscous mesh using a parallel advancing layer method based on distributed systems with multi-cores. A triangular surface mesh that conforms with the original geometrical model is prepared as input and decomposed into multiple subdomains. A coarser background mesh with high-quality viscous elements from the same model is employed for parallel computation. Instead of using a conventional approach to generate layer-wise prismatic elements, a normal calculation through linear interpolation is implemented to overcome the boundary problems arising in distributed systems. A novel strategy to deal with cross-processor transition elements is proposed to reduce frequent communications during viscous mesh generation. To improve the parallel efficiency, a fast domain decomposition method is introduced to speed up the parallel meshing procedure of tetrahedral elements. Numerical experiments are performed on high-performance computing systems with billions of mesh elements to demonstrate the effectiveness and efficiency of the proposed approach and numerical simulation results represent a promising applicability.

Engineering Applications of Computational Fluid MechanicsVol. 18(1)
Zhejiang University (CN)
Affordable and clean energy
Openalex Percentile: Top 57%
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.

A novel approach for large-scale hybrid mesh generation on distributed systems — Hongfei Ye, Jianjun Chen, et al. · Engineering Applications of Computational Fluid Mechanics (2024) | TGRS Research Map | TGRS