{"title":"An improved SPH method for compressible flows with high density ratios","authors":"Wenbo Fan , Delong Xiao , Jun Liu","doi":"10.1016/j.jcp.2025.113868","DOIUrl":null,"url":null,"abstract":"<div><div>An improved Smoothed Particle Hydrodynamics (SPH) method is proposed for supersonic compressible flows with high density ratios. Based on the Reproducing Kernel Particle Method (RKPM), the interaction forces are adjusted by incorporating a pressure correction factor that accounts for the sound speed in the momentum and thermal energy equations. The modification enhances the accuracy and stability of the SPH method when calculating supersonic compressible flows with high density ratios while ensuring conservation. Numerical results demonstrate the capability of the improved SPH method to accurately capture shock waves and rarefaction waves in benchmark problems. Furthermore, compared with the RKPM, the improved SPH method exhibits reduced uncertainty at contact discontinuities in one dimensional strong shock problems with high density ratios. The method also mitigates unphysical oscillations in physical quantities and imposes lower requirements on the time step. Additionally, when simulating two dimensional compressible flow problems with high density ratios, it can effectively suppress tensile and compressive instabilities.</div></div>","PeriodicalId":352,"journal":{"name":"Journal of Computational Physics","volume":"529 ","pages":"Article 113868"},"PeriodicalIF":3.8000,"publicationDate":"2025-02-19","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/S0021999125001512","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
An improved Smoothed Particle Hydrodynamics (SPH) method is proposed for supersonic compressible flows with high density ratios. Based on the Reproducing Kernel Particle Method (RKPM), the interaction forces are adjusted by incorporating a pressure correction factor that accounts for the sound speed in the momentum and thermal energy equations. The modification enhances the accuracy and stability of the SPH method when calculating supersonic compressible flows with high density ratios while ensuring conservation. Numerical results demonstrate the capability of the improved SPH method to accurately capture shock waves and rarefaction waves in benchmark problems. Furthermore, compared with the RKPM, the improved SPH method exhibits reduced uncertainty at contact discontinuities in one dimensional strong shock problems with high density ratios. The method also mitigates unphysical oscillations in physical quantities and imposes lower requirements on the time step. Additionally, when simulating two dimensional compressible flow problems with high density ratios, it can effectively suppress tensile and compressive instabilities.
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.