Xin Gao , Xiaomin Zhang , Qiong Wu , Zhipeng Zhao , Yang Liu , Junfeng Ou , Jian Liu
{"title":"A novel symmetric flux limiter scheme for unstructured grids","authors":"Xin Gao , Xiaomin Zhang , Qiong Wu , Zhipeng Zhao , Yang Liu , Junfeng Ou , Jian Liu","doi":"10.1016/j.compfluid.2024.106531","DOIUrl":null,"url":null,"abstract":"<div><div>An appropriate flux limiter scheme and <em>r-</em>factor algorithm are crucial for convective discretization processes in computational fluid dynamics. To balance the accuracy, convergence, and stability of numerical simulations, a new nonlinear flux limiter scheme satisfying symmetry and smoothness is constructed based on the total variation decreasing (TVD) criterion. In addition, a new <em>r-</em>factor algorithm is proposed to enable implementation of TVD schemes on unstructured grids, which is achieved by employing a more reasonable reconstruction method for far upwind node position and an interpolation method requiring more upwind information. Benchmarking results for convection-dominated problems on structured and unstructured grids show that the new TVD scheme exhibits superior convergence and stability compared with classical TVD schemes, while maintaining high precision, and achieves a balance between compressibility and diffusion. Meanwhile, the new <em>r-</em>factor algorithm has better performance in terms of overall accuracy and convergence compared with other existing algorithms, demonstrating its potential for extensive application.</div></div>","PeriodicalId":287,"journal":{"name":"Computers & Fluids","volume":"288 ","pages":"Article 106531"},"PeriodicalIF":2.5000,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Fluids","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0045793024003621","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
An appropriate flux limiter scheme and r-factor algorithm are crucial for convective discretization processes in computational fluid dynamics. To balance the accuracy, convergence, and stability of numerical simulations, a new nonlinear flux limiter scheme satisfying symmetry and smoothness is constructed based on the total variation decreasing (TVD) criterion. In addition, a new r-factor algorithm is proposed to enable implementation of TVD schemes on unstructured grids, which is achieved by employing a more reasonable reconstruction method for far upwind node position and an interpolation method requiring more upwind information. Benchmarking results for convection-dominated problems on structured and unstructured grids show that the new TVD scheme exhibits superior convergence and stability compared with classical TVD schemes, while maintaining high precision, and achieves a balance between compressibility and diffusion. Meanwhile, the new r-factor algorithm has better performance in terms of overall accuracy and convergence compared with other existing algorithms, demonstrating its potential for extensive application.
期刊介绍:
Computers & Fluids is multidisciplinary. The term ''fluid'' is interpreted in the broadest sense. Hydro- and aerodynamics, high-speed and physical gas dynamics, turbulence and flow stability, multiphase flow, rheology, tribology and fluid-structure interaction are all of interest, provided that computer technique plays a significant role in the associated studies or design methodology.