A conservative interface sharpening Lattice Boltzmann Model
- Submitting institution
-
University of Greenwich
- Unit of assessment
- 12 - Engineering
- Output identifier
- 22227
- Type
- D - Journal article
- DOI
-
10.1137/18M1184928
- Title of journal
- SIAM Journal on Scientific Computing
- Article number
- -
- First page
- B1495
- Volume
- 40
- Issue
- 6
- ISSN
- 1064-8275
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
0
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper proposes a greatly improved interface capturing method for LBMs. The method is tested rigorously with the most challenging of benchmark challenges. It allows for the prediction of interfaces with far greater accuracy and thus has much potential for realistic engineering applications. A grant to incorporate this method into internatinally used open-source software (DL_MESO, with chief developer Dr Seaton at STFC) is under review (EPSRC Mathematical Sciences, 2021).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
