EconPapers    
Economics at your fingertips  
 

Lagrangian Simulation of a Fluid with Solid Particle Loading Performed on Supercomputers

Florian Beck (), Florian Fleissner () and Peter Eberhard ()
Additional contact information
Florian Beck: University of Stuttgart, Institute of Engineering and Computational Mechanics
Florian Fleissner: University of Stuttgart, Institute of Engineering and Computational Mechanics
Peter Eberhard: University of Stuttgart, Institute of Engineering and Computational Mechanics

A chapter in High Performance Computing in Science and Engineering ‘13, 2013, pp 405-421 from Springer

Abstract: Abstract The simulation of a fluid with particle loading is a challenging task. In this contribution two Lagrangian simulation methods are coupled to handle the challenges when simulating such scenarios. The Smoothed Particle Hydrodynamics method is used for modeling the fluid. The particles within the fluid are simulated with the Discrete Element Method, which is also applied for the boundary geometry. These methods are coupled to model a fluid and solid particles in one common simulation. In this work Lagrangian methods are employed because the natural handling of the solid-fluid interface.The simulation of a fluid with particle loading requires a large numbers of particles. With an increasing number of particles the computational effort rises. In the presented examples, the number of particles is up to 50 million. Therefore, the calculation is done on supercomputers.First, in this work the simulation framework for complex fluid particles simulation is presented. Then, the employed simulation methods are introduced and some simulations for verifying the framework are discussed. Afterwards simulations of a fluid with particles as loading and complex boundaries and the results are presented.

Keywords: Smooth Particle Hydrodynamic; Discrete Element Method; Smooth Particle Hydrodynamic; Particle Loading; Parallel Simulation (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-02165-2_28

Ordering information: This item can be ordered from
http://www.springer.com/9783319021652

DOI: 10.1007/978-3-319-02165-2_28

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-06-08
Handle: RePEc:spr:sprchp:978-3-319-02165-2_28