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Automation of High-Fidelity CFD Analysis for Aircraft Design and Optimization Aided by HPC
Airinnova AB, Stockholm, Sweden.
KTH, Centres, SeRC - Swedish e-Science Research Centre. KTH, School of Electrical Engineering and Computer Science (EECS), Centres, Centre for High Performance Computing, PDC.ORCID iD: 0000-0002-3859-9480
KTH, School of Electrical Engineering and Computer Science (EECS), Centres, Centre for High Performance Computing, PDC.ORCID iD: 0000-0002-6175-3466
KTH, School of Electrical Engineering and Computer Science (EECS), Centres, Centre for High Performance Computing, PDC.ORCID iD: 0000-0003-3689-3499
2020 (English)In: Proceeding of 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), Institute of Electrical and Electronics Engineers (IEEE) , 2020, p. 395-399Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, an automation process to perform Reynolds-Averaged Navier-Stokes (RANS) computational fluid dynamics (CFD) analysis is developed to carry out aerodynamic design and optimization. The aircraft model/geometry is defined by a Common Parametric Aircraft Configuration Schema (CPACS) file, and the analyses are facilitated using high performance computers (HPC). As the computational capability of the available HPC systems is a limiting factor in the complexity of analyses that can be performed, a detailed performance analysis of the open source CFD code SU2 is undertaken and the profiling and performance analyses for large simulations are carried out.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2020. p. 395-399
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:kth:diva-276248DOI: 10.1109/PDP50117.2020.00067ISI: 000582555800060Scopus ID: 2-s2.0-85085483221OAI: oai:DiVA.org:kth-276248DiVA, id: diva2:1438459
Conference
28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2020, Västerås, Sweden, March 11-13, 2020
Note

QC 20200610

Available from: 2020-06-10 Created: 2020-06-10 Last updated: 2023-03-30Bibliographically approved

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Gong, JingAxner, LilitBarth, Michaela

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