中文版 | English
Title

Efficient methods for particle-resolved direct numerical simulation

Author
Publication Years
2022
Keywords
Language
English
URL[Source Record]
Abstract
In the present chapter we focus on the fundamentals of non-grid-conforming numerical approaches to simulating particulate flows, implementation issues, and grid convergence vs. available reference data. The main idea is to avoid adapting the mesh (and – as much as possible – the discrete operators) to the time-dependent fluid domain with the aim to maximize computational efficiency. We restrict our attention to spherical particle shapes (while deviations from sphericity are treated in a subsequent chapter). We show that similar ideas can be successfully implemented in a variety of underlying fluid flow solvers, leading to powerful tools for the direct numerical simulation of large particulate systems.
DOI
Source Title
Pages
147-184
SUSTech Authorship
Others
Scopus EID
2-s2.0-85150550158
Data Source
Scopus
Citation statistics
Cited Times [WOS]:0
Document TypeOther
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/524331
DepartmentDepartment of Mechanics and Aerospace Engineering
Affiliation
1.Karlsruhe Institute of Technology,Institute for Hydromechanics,Karlsruhe,Germany
2.University of Aberdeen,School of Engineering,King's College,Aberdeen,United Kingdom
3.University of British Columbia,Department of Mathematics,Vancouver,Canada
4.University of British Columbia,Department of Chemical and Biological Engineering,Vancouver,Canada
5.Southern University of Science and Technology,Department of Mechanics and Aerospace Engineering,Shenzhen,Guangdong,China
Recommended Citation
GB/T 7714
Uhlmann,Markus,Derksen,Jos,Wachs,Anthony,et al. Efficient methods for particle-resolved direct numerical simulation. 2022-01-01.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Export to Excel
Export to Csv
Altmetrics Score
Google Scholar
Similar articles in Google Scholar
[Uhlmann,Markus]'s Articles
[Derksen,Jos]'s Articles
[Wachs,Anthony]'s Articles
Baidu Scholar
Similar articles in Baidu Scholar
[Uhlmann,Markus]'s Articles
[Derksen,Jos]'s Articles
[Wachs,Anthony]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Uhlmann,Markus]'s Articles
[Derksen,Jos]'s Articles
[Wachs,Anthony]'s Articles
Terms of Use
No data!
Social Bookmark/Share
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.