DUAL-MESH CHARACTERISTICS FOR PARTICLE-MESH METHODS FOR THE SIMULATION OF CONVECTION-DOMINATED FLOWS
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Cho, Chung-Ki | - |
dc.contributor.author | Lee, Byungjoon | - |
dc.contributor.author | Kim, Seongjai | - |
dc.date.accessioned | 2021-08-11T13:44:03Z | - |
dc.date.available | 2021-08-11T13:44:03Z | - |
dc.date.issued | 2018 | - |
dc.identifier.issn | 1064-8275 | - |
dc.identifier.issn | 1095-7197 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/6860 | - |
dc.description.abstract | The particle-mesh method (PMM) is a powerful computational tool for the simulation of convection-dominated diffusion flows. The method introduces computational particles each of which is given a finite size and represents a large number of physical particles with the same properties. The convection part of the flow can be solved by moving the computational particles along the characteristics, while the diffusion part is carried out by utilizing a heat solver on a regular mesh. However, the method in practical applications shows the so-called ringing instability, an amplitude fluctuation in the computed solution. In this article, we suggest a new numerical technique of particle movement, called the dual-mesh characteristics (DMC) of which the second mesh is formed by tracking back the cells along the characteristics. The particle movement is carried out by interpreting the particle positions (in the previous time level) in terms of the multilinear coordinates of the second mesh. Strategies for the average velocity and interpolations are also suggested to move the computational particles accurately with a minimum numerical dissipation. The resulting algorithm, PMM-DMC, turns out to be mass conservative, nonoscillatory, of negligible dissipation, and more efficient than the conventional schemes. Numerical results are shown to demonstrate its accuracy and efficiency. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Society for Industrial and Applied Mathematics | - |
dc.title | DUAL-MESH CHARACTERISTICS FOR PARTICLE-MESH METHODS FOR THE SIMULATION OF CONVECTION-DOMINATED FLOWS | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1137/17M1114648 | - |
dc.identifier.scopusid | 2-s2.0-85049435690 | - |
dc.identifier.wosid | 000436986000044 | - |
dc.identifier.bibliographicCitation | SIAM Journal of Scientific Computing, v.40, no.3, pp A1763 - A1783 | - |
dc.citation.title | SIAM Journal of Scientific Computing | - |
dc.citation.volume | 40 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | A1763 | - |
dc.citation.endPage | A1783 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | sci | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Mathematics | - |
dc.relation.journalWebOfScienceCategory | Mathematics, Applied | - |
dc.subject.keywordPlus | DISCONTINUOUS GALERKIN METHOD | - |
dc.subject.keywordPlus | COMPUTATIONAL FLUID-DYNAMICS | - |
dc.subject.keywordPlus | FINITE-ELEMENT FORMULATION | - |
dc.subject.keywordPlus | CENTRAL SCHEMES | - |
dc.subject.keywordPlus | DIFFUSION | - |
dc.subject.keywordPlus | EQUATIONS | - |
dc.subject.keywordPlus | SPH | - |
dc.subject.keywordPlus | APPROXIMATION | - |
dc.subject.keywordPlus | OPERATOR | - |
dc.subject.keywordPlus | SPEED | - |
dc.subject.keywordAuthor | particle-mesh method (PMM) | - |
dc.subject.keywordAuthor | operator splitting technique | - |
dc.subject.keywordAuthor | method of characteristic | - |
dc.subject.keywordAuthor | dual-mesh characteristic | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(31538) 22, Soonchunhyang-ro, Asan-si, Chungcheongnam-do, Republic of Korea+82-41-530-1114
COPYRIGHT 2021 by SOONCHUNHYANG UNIVERSITY ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.