Higher-order MPS models and higher-order Explicit Incompressible MPS (EI-MPS) method to simulate free-surface flows

IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Tibing Xu , Seiichi Koshizuka , Tsuyoshi Koyama , Toshihide Saka , Osamu Imazeki
{"title":"Higher-order MPS models and higher-order Explicit Incompressible MPS (EI-MPS) method to simulate free-surface flows","authors":"Tibing Xu ,&nbsp;Seiichi Koshizuka ,&nbsp;Tsuyoshi Koyama ,&nbsp;Toshihide Saka ,&nbsp;Osamu Imazeki","doi":"10.1016/j.jcp.2025.113951","DOIUrl":null,"url":null,"abstract":"<div><div>In this study, higher-order spatial models including the gradient model and Laplacian model based on Taylor's series and using their coordinates as coefficients are evaluated by calculating some simple functions and a diffusion problem. The numerical convergence is achieved by the models as the smaller particle distance can calculate more accurate results. By using the models, when the particle distribution is significantly irregular, increasing the search radius can involve more neighboring particles which consequently improves the accuracy. Based on the proposed higher-order models, the higher-order Explicit Incompressible version of the Moving Particle Semi-implicit method (EI-MPS) is developed. The numerical scheme is validated by simulating various free surface flows including the rotation of a fluid square patch, the impact of two identical rectangular fluid patches, oscillating drop under a central force field, a hydrostatic problem, and dam-break flow. The parameters of the particle distance, search radius, and repeated time in the pressure calculation are all examined in the free surface flows. The proposed method can reproduce the free surface variations, kinetic energy, and total energy variation in the violent flows. It can also obtain the hydrostatic pressure achieving numerical convergence. Increasing the search radius can result in larger errors in simulating the hydrostatic pressure. The impacting pressure caused by the dam-break flow is reflected by the method in good agreement with the experimental measurements.</div></div>","PeriodicalId":352,"journal":{"name":"Journal of Computational Physics","volume":"532 ","pages":"Article 113951"},"PeriodicalIF":3.8000,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational Physics","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0021999125002347","RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

Abstract

In this study, higher-order spatial models including the gradient model and Laplacian model based on Taylor's series and using their coordinates as coefficients are evaluated by calculating some simple functions and a diffusion problem. The numerical convergence is achieved by the models as the smaller particle distance can calculate more accurate results. By using the models, when the particle distribution is significantly irregular, increasing the search radius can involve more neighboring particles which consequently improves the accuracy. Based on the proposed higher-order models, the higher-order Explicit Incompressible version of the Moving Particle Semi-implicit method (EI-MPS) is developed. The numerical scheme is validated by simulating various free surface flows including the rotation of a fluid square patch, the impact of two identical rectangular fluid patches, oscillating drop under a central force field, a hydrostatic problem, and dam-break flow. The parameters of the particle distance, search radius, and repeated time in the pressure calculation are all examined in the free surface flows. The proposed method can reproduce the free surface variations, kinetic energy, and total energy variation in the violent flows. It can also obtain the hydrostatic pressure achieving numerical convergence. Increasing the search radius can result in larger errors in simulating the hydrostatic pressure. The impacting pressure caused by the dam-break flow is reflected by the method in good agreement with the experimental measurements.
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Computational Physics
Journal of Computational Physics 物理-计算机:跨学科应用
CiteScore
7.60
自引率
14.60%
发文量
763
审稿时长
5.8 months
期刊介绍: Journal of Computational Physics thoroughly treats the computational aspects of physical problems, presenting techniques for the numerical solution of mathematical equations arising in all areas of physics. The journal seeks to emphasize methods that cross disciplinary boundaries. The Journal of Computational Physics also publishes short notes of 4 pages or less (including figures, tables, and references but excluding title pages). Letters to the Editor commenting on articles already published in this Journal will also be considered. Neither notes nor letters should have an abstract.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信