EconPapers    
Economics at your fingertips  
 

Highly Efficient and Scalable Software for the Simulation of Turbulent Flows in Complex Geometries

Daniel F. Harlacher (), Sabine Roller (), Florian Hindenlang (), Claus-Dieter Munz (), Tim Kraus (), Martin Fischer (), Koen Geurts (), Matthias Meinke (), Tobias Klühspies (), Volker Metsch () and Katharina Benkert ()
Additional contact information
Daniel F. Harlacher: RWTH Aachen University, Applied Supercomputing in Engineering, German Research School for Simulation Sciences
Sabine Roller: RWTH Aachen University, Applied Supercomputing in Engineering, German Research School for Simulation Sciences
Florian Hindenlang: Universität Stuttgart, Institut für Aerodynamik und Gasdynamik
Claus-Dieter Munz: Universität Stuttgart, Institut für Aerodynamik und Gasdynamik
Tim Kraus: Robert Bosch GmbH
Martin Fischer: Robert Bosch GmbH
Koen Geurts: RWTH Aachen University, Chair of Fluid Mechanics and Institute of Aerodynamics
Matthias Meinke: RWTH Aachen University, Chair of Fluid Mechanics and Institute of Aerodynamics
Tobias Klühspies: Trumpf Werkzeugmaschinen GmbH + Co. KG
Volker Metsch: Trumpf Werkzeugmaschinen GmbH + Co. KG
Katharina Benkert: Höchstleistungsrechenzentrum Stuttgart (HLRS)

A chapter in High Performance Computing in Science and Engineering '11, 2012, pp 289-307 from Springer

Abstract: Abstract This paper investigates the efficiency of simulations for compressible turbulent flows with noise generation in complex geometries. It analyzes two different approaches and their suitability with respect to quality as well as turn around times required in industrial DoE processes. One approach makes use of a high order discontinuous Galerkin scheme. The efficiency of high order schemes on coarser meshes is compared to lower order schemes on finer meshes. The second approach is a 2nd order Finite Volume scheme, which employs a zonal coupling of LES and RANS to enhance efficiency in turbulence simulation. The schemes are applied to three industrial test cases which are described. Difficulties on HPC systems, especially load-balancing, MPI and IO, are pointed out and solutions are presented.

Keywords: Direct Numerical Simulation; Discontinuous Galerkin; Discontinuous Galerkin Method; High Order Scheme; Laminar Separation Bubble (search for similar items in EconPapers)
Date: 2012
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:978-3-642-23869-7_22

Ordering information: This item can be ordered from
http://www.springer.com/9783642238697

DOI: 10.1007/978-3-642-23869-7_22

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 2026-06-01
Handle: RePEc:spr:sprchp:978-3-642-23869-7_22