Filament capturing with the multimaterial moment-of-fluid method*
Abstract
A novel method for capturing two-dimensional, thin, under-resolved material configurations, known as “filaments,” is presented in the context of interface reconstruction. This technique uses a partitioning procedure to detect disconnected regions of material in the advective preimage of a cell (indicative of a filament) and makes use of the existing functionality of the Multimaterial Moment-of-Fluid interface reconstruction method to accurately capture the under-resolved feature, while exactly conserving volume. An algorithm for Adaptive Mesh Refinement in the presence of filaments is developed so that refinement is introduced only near the tips of filaments and where the Moment-of-Fluid reconstruction error is still large. Comparison to the standard Moment-of-Fluid method is made. As a result, it is demonstrated that using filament capturing at a given resolution yields gains in accuracy comparable to introducing an additional level of mesh refinement at significantly lower cost.
- Authors:
-
- Florida State Univ., Tallahassee, FL (United States)
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Publication Date:
- Research Org.:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
- OSTI Identifier:
- 1247141
- Alternate Identifier(s):
- OSTI ID: 1477814
- Report Number(s):
- LA-UR-15-20361
Journal ID: ISSN 0021-9991; PII: S0021999115000182
- Grant/Contract Number:
- AC52-06NA25396
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Computational Physics
- Additional Journal Information:
- Journal Volume: 285; Journal Issue: C; Journal ID: ISSN 0021-9991
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; interface reconstruction; moving boundary problem; moment-of-fluid method; filament capturing
Citation Formats
Jemison, Matthew, Sussman, Mark, and Shashkov, Mikhail. Filament capturing with the multimaterial moment-of-fluid method*. United States: N. p., 2015.
Web. doi:10.1016/j.jcp.2015.01.014.
Jemison, Matthew, Sussman, Mark, & Shashkov, Mikhail. Filament capturing with the multimaterial moment-of-fluid method*. United States. https://doi.org/10.1016/j.jcp.2015.01.014
Jemison, Matthew, Sussman, Mark, and Shashkov, Mikhail. Thu .
"Filament capturing with the multimaterial moment-of-fluid method*". United States. https://doi.org/10.1016/j.jcp.2015.01.014. https://www.osti.gov/servlets/purl/1247141.
@article{osti_1247141,
title = {Filament capturing with the multimaterial moment-of-fluid method*},
author = {Jemison, Matthew and Sussman, Mark and Shashkov, Mikhail},
abstractNote = {A novel method for capturing two-dimensional, thin, under-resolved material configurations, known as “filaments,” is presented in the context of interface reconstruction. This technique uses a partitioning procedure to detect disconnected regions of material in the advective preimage of a cell (indicative of a filament) and makes use of the existing functionality of the Multimaterial Moment-of-Fluid interface reconstruction method to accurately capture the under-resolved feature, while exactly conserving volume. An algorithm for Adaptive Mesh Refinement in the presence of filaments is developed so that refinement is introduced only near the tips of filaments and where the Moment-of-Fluid reconstruction error is still large. Comparison to the standard Moment-of-Fluid method is made. As a result, it is demonstrated that using filament capturing at a given resolution yields gains in accuracy comparable to introducing an additional level of mesh refinement at significantly lower cost.},
doi = {10.1016/j.jcp.2015.01.014},
journal = {Journal of Computational Physics},
number = C,
volume = 285,
place = {United States},
year = {Thu Jan 15 00:00:00 EST 2015},
month = {Thu Jan 15 00:00:00 EST 2015}
}
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Works referencing / citing this record:
Incompressible multiphase flow and encapsulation simulations using the moment-of-fluid method: Incompressible multiphase flow and encapsulation simulations using the moment-of-fluid method
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Implementation of a Volume-of-Fluid Method in a Finite Element Code with Applications to Thermochemical Convection in a Density Stratified Fluid in the Earth's Mantle
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- Robey, Jonathan M.; Puckett, Elbridge Gerry
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