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A comprehensive framework to enhance numerical simulations in the spectral-element code Nek5000
KTH, School of Engineering Sciences (SCI), Engineering Mechanics. KTH, School of Engineering Sciences (SCI), Centres, Linné Flow Center, FLOW. (SimEx)ORCID iD: 0000-0002-6712-8944
KTH, School of Engineering Sciences (SCI), Engineering Mechanics. KTH, School of Engineering Sciences (SCI), Centres, Linné Flow Center, FLOW. (SimEx)ORCID iD: 0000-0002-7448-3290
KTH, School of Engineering Sciences (SCI), Engineering Mechanics. KTH, School of Engineering Sciences (SCI), Centres, Linné Flow Center, FLOW. (SimEx)ORCID iD: 0000-0002-3814-7919
KTH, School of Engineering Sciences (SCI), Engineering Mechanics. KTH, School of Engineering Sciences (SCI), Centres, Linné Flow Center, FLOW. Department of Energy and Process Engineering, Norwegian University of Science and Technology (NTNU), Trondheim NO-7491, Norway. (SimEx)
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2024 (English)In: Computer Physics Communications, ISSN 0010-4655, E-ISSN 1879-2944, Vol. 302, article id 109249Article in journal (Refereed) Published
Abstract [en]

A framework is presented for the spectral-element code Nek5000, which has been, and still is, widely used in the computational fluid dynamics (CFD) community to perform high-fidelity numerical simulations of transitional and high Reynolds number flows. Despite the widespread usage, there is a deficiency in having a comprehensive set of tools specifically designed for conducting simulations using Nek5000. To address this issue, we have created a unique framework that allows, inter alia, to perform stability analysis and compute statistics of a turbulent flow. The framework encapsulates modules that provide tools, run-time parameters and memory structures, defining interfaces and performing different tasks. First, the framework architecture is described, showing its non-intrusive approach. Then, the modules are presented, explaining the main tools that have been implemented and describing some of the test cases. The code is open-source and available online, with proper documentation, to-run instructions and related examples.

Place, publisher, year, edition, pages
Elsevier BV , 2024. Vol. 302, article id 109249
Keywords [en]
Computational fluid dynamics, Numerical toolbox, Stability analysis, Statistical analysis
National Category
Fluid Mechanics and Acoustics
Identifiers
URN: urn:nbn:se:kth:diva-347059DOI: 10.1016/j.cpc.2024.109249Scopus ID: 2-s2.0-85193603654OAI: oai:DiVA.org:kth-347059DiVA, id: diva2:1862787
Note

QC 20240603

Available from: 2024-05-30 Created: 2024-05-30 Last updated: 2024-06-03Bibliographically approved

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Massaro, DanielePeplinski, AdamStanly, RonithMirzareza, ShahabLupi, ValerioXiang, YanSchlatter, Philip

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Massaro, DanielePeplinski, AdamStanly, RonithMirzareza, ShahabLupi, ValerioXiang, YanSchlatter, Philip
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Engineering MechanicsLinné Flow Center, FLOW
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Computer Physics Communications
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