Validation of Particle-Laden Large-Eddy Simulation Using HPC Systems

Konstantin Fröhlich (), Lennart Schneiders (), Matthias Meinke () and Wolfgang Schröder ()
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Konstantin Fröhlich: RWTH Aachen University, Institute of Aerodynamics
Lennart Schneiders: RWTH Aachen University, Institute of Aerodynamics
Matthias Meinke: RWTH Aachen University, Institute of Aerodynamics
Wolfgang Schröder: RWTH Aachen University, Institute of Aerodynamics

A chapter in Sustained Simulation Performance 2017, 2017, pp 137-149 from Springer

Abstract: Abstract In this contribution, results of a direct particle-fluid simulation (DPFS) are compared with direct numerical simulations and large-eddy simulations (LES) using a popular Euler-Lagrange method (ELM). DPFS facilitates the computation of particulate turbulent flow with particle sizes on the order of the smallest flow scales, which requires advanced numerical methods and parallelization strategies accompanied by considerable computing resources. After recapitulating methods required for DPFS, a setup is proposed where DPFS is used as a benchmark for direct numerical simulations and LES. Therefore, a modified implicit LES scheme is proposed, which shows convincing statistics in comparison to a direct numerical simulation of a single phase flow. Preliminary results of particle-laden flow show good agreement of the LES and the DPFS findings. Further benchmark cases for an appreciable range of parameters are required to draw a rigorous conclusion of the accuracy of the ELM.

Keywords: Large Eddy Simulation (LES); Particle-laden Flows; Considerable Computational Resources; Direct Numerical Simulation (DNS); Implicit LES (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-66896-3_9

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DOI: 10.1007/978-3-319-66896-3_9

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