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The immersed boundary method for confined flows: Numerical diffusion and simulation accuracy of a boundary retraction scheme
Abbati, Alessia1; Zhang, Ya2; Dempster, William1; Zhang, Yonghao3,4
Corresponding AuthorZhang, Yonghao([email protected])
Source PublicationCOMPUTERS & FLUIDS
2022-12-15
Volume249Pages:11
ISSN0045-7930
AbstractDiffuse-interface immersed boundary methods (IBM) have been successfully applied to numerous complex fluid-structure interaction problems because of their simple and efficient implementation. Despite their ability to suppress numerical oscillations significantly compared to sharp-interface methods, the diffuse interface is likely to reduce simulation accuracy of the flow field around the solid boundary. The present work investigates the diffusive effects of IBM and the mitigation method for surface-confined particulate flows by comparing results to sharp-interface methods. It is found that increasingly-confined geometries accentuate interface diffusion effects and decrease simulation accuracy. To minimise the diffusive effects of IBM, a boundary retraction scheme is used and its effectiveness is examined, in particular for particles in close contact where the diffuse interfaces overlap. It is shown that this simple implementation is capable of alleviating interface diffusion errors, thus increasing accuracy while limiting computational costs. With an optimal boundary retraction scheme, IBM can successfully capture fluid-structure interactions at different degrees of confinement, comparable to sharp-interface methods.
KeywordImmersed boundary method Lattice Boltzmann method Diffuse-interface Boundary retraction
DOI10.1016/j.compfluid.2022.105690
Indexed BySCI ; EI
Language英语
WOS IDWOS:000879159300003
WOS KeywordLATTICE-BOLTZMANN METHOD ; CIRCULAR-CYLINDER MIDWAY ; 2 PARALLEL PLATES ; STOKES-FLOW ; PARTICLE SEDIMENTATION ; MOMENTUM-EXCHANGE ; RIGID CYLINDER ; DRAG FORCE ; FLUID ; POISEUILLE
WOS Research AreaComputer Science ; Mechanics
WOS SubjectComputer Science, Interdisciplinary Applications ; Mechanics
Classification二类
Ranking1
ContributorZhang, Yonghao
Citation statistics
Document Type期刊论文
Identifierhttp://dspace.imech.ac.cn/handle/311007/90736
Collection非线性力学国家重点实验室
Affiliation1.Univ Strathclyde, Dept Mech & Aerosp Engn, Glasgow G1 1XJ, Scotland;
2.China Automot Innovat Corp, Nanjing 211100, Jiangsu, Peoples R China;
3.Univ Edinburgh, Sch Engn, Edinburgh EH9 3FD, Scotland;
4.Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Abbati, Alessia,Zhang, Ya,Dempster, William,et al. The immersed boundary method for confined flows: Numerical diffusion and simulation accuracy of a boundary retraction scheme[J]. COMPUTERS & FLUIDS,2022,249:11.Rp_Au:Zhang, Yonghao
APA Abbati, Alessia,Zhang, Ya,Dempster, William,&Zhang, Yonghao.(2022).The immersed boundary method for confined flows: Numerical diffusion and simulation accuracy of a boundary retraction scheme.COMPUTERS & FLUIDS,249,11.
MLA Abbati, Alessia,et al."The immersed boundary method for confined flows: Numerical diffusion and simulation accuracy of a boundary retraction scheme".COMPUTERS & FLUIDS 249(2022):11.
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