Application of parallel distributed Lagrange multiplier technique to simulate coupled Fluid-Granular flows in pipes with varying Cross-Sectional area
Abstract
Fluid-granular flows are common phenomena in nature and industry. Here, an efficient computational technique based on the distributed Lagrange multiplier method is utilized to simulate complex fluid-granular flows. Each particle is explicitly resolved on an Eulerian grid as a separate domain, using solid volume fractions. The fluid equations are solved through the entire computational domain, however, Lagrange multiplier constrains are applied inside the particle domain such that the fluid within any volume associated with a solid particle moves as an incompressible rigid body. The particle–particle interactions are implemented using explicit force-displacement interactions for frictional inelastic particles similar to the DEM method with some modifications using the volume of an overlapping region as an input to the contact forces. Here, a parallel implementation of the method is based on the SAMRAI (Structured Adaptive Mesh Refinement Application Infrastructure) library.
- Authors:
-
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Publication Date:
- Research Org.:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1440716
- Alternate Identifier(s):
- OSTI ID: 1396773
- Report Number(s):
- LLNL-JRNL-576915
Journal ID: ISSN 0032-5910; 650114
- Grant/Contract Number:
- AC52-07NA27344
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Powder Technology
- Additional Journal Information:
- Journal Volume: 291; Journal Issue: C; Journal ID: ISSN 0032-5910
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; Fluid-granular flows; Pneumatic conveying; Lagrange multiplier
Citation Formats
Kanarska, Yuliya, and Walton, Otis. Application of parallel distributed Lagrange multiplier technique to simulate coupled Fluid-Granular flows in pipes with varying Cross-Sectional area. United States: N. p., 2015.
Web. doi:10.1016/j.powtec.2015.11.062.
Kanarska, Yuliya, & Walton, Otis. Application of parallel distributed Lagrange multiplier technique to simulate coupled Fluid-Granular flows in pipes with varying Cross-Sectional area. United States. https://doi.org/10.1016/j.powtec.2015.11.062
Kanarska, Yuliya, and Walton, Otis. Mon .
"Application of parallel distributed Lagrange multiplier technique to simulate coupled Fluid-Granular flows in pipes with varying Cross-Sectional area". United States. https://doi.org/10.1016/j.powtec.2015.11.062. https://www.osti.gov/servlets/purl/1440716.
@article{osti_1440716,
title = {Application of parallel distributed Lagrange multiplier technique to simulate coupled Fluid-Granular flows in pipes with varying Cross-Sectional area},
author = {Kanarska, Yuliya and Walton, Otis},
abstractNote = {Fluid-granular flows are common phenomena in nature and industry. Here, an efficient computational technique based on the distributed Lagrange multiplier method is utilized to simulate complex fluid-granular flows. Each particle is explicitly resolved on an Eulerian grid as a separate domain, using solid volume fractions. The fluid equations are solved through the entire computational domain, however, Lagrange multiplier constrains are applied inside the particle domain such that the fluid within any volume associated with a solid particle moves as an incompressible rigid body. The particle–particle interactions are implemented using explicit force-displacement interactions for frictional inelastic particles similar to the DEM method with some modifications using the volume of an overlapping region as an input to the contact forces. Here, a parallel implementation of the method is based on the SAMRAI (Structured Adaptive Mesh Refinement Application Infrastructure) library.},
doi = {10.1016/j.powtec.2015.11.062},
journal = {Powder Technology},
number = C,
volume = 291,
place = {United States},
year = {Mon Nov 30 00:00:00 EST 2015},
month = {Mon Nov 30 00:00:00 EST 2015}
}
Web of Science