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  • 1. Liefvendahl, Mattias
    et al.
    Mukha, Timofey
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Numerical Analysis.
    Rezaeiravesh, Saleh
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Numerical Analysis.
    Formulation of a wall model for LES in a collocated finite-volume framework2017Report (Other academic)
  • 2.
    Mukha, Timofey
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Numerical Analysis.
    Modelling Techniques for Large-Eddy Simulation of Wall-Bounded Turbulent Flows2018Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    Large-eddy simulation (LES) is a highly accurate turbulence modelling approach in which a wide range of spatial and temporal scales of the flow are resolved. However, LES becomes prohibitively computationally expensive when applied to wall-bounded flows at high Reynolds numbers, which are typical of many industrial applications. This is caused by the need to resolve very small, yet dynamically important flow structures found in the inner region of turbulent boundary layers (TBLs). To remove the restrictive resolution requirements, coupling LES with special models for the flow in the inner region has been proposed. The predictive accuracy of this promising approach, referred to as wall-modelled LES (WMLES), requires further analysis and validation. 

    In this work, systematic simulation campaigns of canonical wall-bounded flows have been conducted to support the development of a complete methodology for highly accurate WMLES on unstructured grids. Two novel algebraic wall-stress models are also proposed and shown to be more robust and precise than the classical approaches of the same type. 

    For turbulence simulations, it is often challenging to provide accurate conditions at the inflow boundaries of the domain. Here, a novel methodology is proposed for generating an inflow TBL using a precursor simulation of turbulent channel flow. A procedure for determining the parameters of the precursor based on the Reynolds number of the inflow TBL is given. The proposed method is robust and easy to implement, and its accuracy is demonstrated to be on par with other state-of-the-art approaches. 

    To make the above investigations possible, several software packages have been developed in the course of the work on this thesis. This includes a Python package for post-processing the flow simulation results, a Python package for inflow generation methods, and a library for WMLES based on the general-purpose software for computational fluid dynamics OpenFOAM. All three codes are publicly released under an open-source licence to facilitate their use by other research groups.

    List of papers
    1. The generation of turbulent inflow boundary conditions using precursor channel flow simulations
    Open this publication in new window or tab >>The generation of turbulent inflow boundary conditions using precursor channel flow simulations
    2017 (English)In: Computers & Fluids, ISSN 0045-7930, E-ISSN 1879-0747, Vol. 156, p. 21-33Article in journal (Refereed) Published
    National Category
    Computational Mathematics
    Identifiers
    urn:nbn:se:uu:diva-302801 (URN)10.1016/j.compfluid.2017.06.020 (DOI)000411848100003 ()
    Projects
    eSSENCE
    Available from: 2017-06-23 Created: 2016-09-09 Last updated: 2018-08-05Bibliographically approved
    2. Eddylicious: A Python package for turbulent inflow generation
    Open this publication in new window or tab >>Eddylicious: A Python package for turbulent inflow generation
    2018 (English)In: SoftwareX, E-ISSN 2352-7110, Vol. 7, p. 112-114Article in journal (Refereed) Published
    National Category
    Computational Mathematics
    Identifiers
    urn:nbn:se:uu:diva-302803 (URN)10.1016/j.softx.2018.04.001 (DOI)000457139300021 ()
    Available from: 2018-04-17 Created: 2016-09-09 Last updated: 2019-03-14Bibliographically approved
    3. Effect of wall-stress model and mesh-cell topology on the predictive accuracy of LES for wall-bounded flows
    Open this publication in new window or tab >>Effect of wall-stress model and mesh-cell topology on the predictive accuracy of LES for wall-bounded flows
    2018 (English)In: Proc. 7th European Conference on Computational Fluid Dynamics, European Community on Computional Methods in Applied Sciences (ECCOMAS), 2018Conference paper, Published paper (Refereed)
    Place, publisher, year, edition, pages
    European Community on Computional Methods in Applied Sciences (ECCOMAS), 2018
    National Category
    Fluid Mechanics and Acoustics Computational Mathematics
    Identifiers
    urn:nbn:se:uu:diva-356047 (URN)
    Conference
    ECFD 2018, June 11–15, Glasgow, UK
    Available from: 2018-06-12 Created: 2018-07-12 Last updated: 2018-08-05Bibliographically approved
    4. A-priori study of wall modeling in large eddy simulation
    Open this publication in new window or tab >>A-priori study of wall modeling in large eddy simulation
    2018 (English)In: Proc. 7th European Conference on Computational Fluid Dynamics, European Community on Computional Methods in Applied Sciences (ECCOMAS), 2018Conference paper, Published paper (Refereed)
    Place, publisher, year, edition, pages
    European Community on Computional Methods in Applied Sciences (ECCOMAS), 2018
    National Category
    Fluid Mechanics and Acoustics Computational Mathematics
    Identifiers
    urn:nbn:se:uu:diva-356045 (URN)
    Conference
    ECFD 2018, June 11–15, Glasgow, UK
    Available from: 2018-06-12 Created: 2018-07-12 Last updated: 2018-10-07Bibliographically approved
    5. Turbulucid: A Python package for post-processing of fluid flow simulations
    Open this publication in new window or tab >>Turbulucid: A Python package for post-processing of fluid flow simulations
    2018 (English)In: Journal of Open Research Software, E-ISSN 2049-9647, Vol. 6, article id 23Article in journal (Refereed) Published
    National Category
    Software Engineering
    Identifiers
    urn:nbn:se:uu:diva-356438 (URN)10.5334/jors.213 (DOI)
    Available from: 2018-11-02 Created: 2018-07-27 Last updated: 2018-11-10Bibliographically approved
    6. A library for wall-modelled large-eddy simulation based on OpenFOAM technology
    Open this publication in new window or tab >>A library for wall-modelled large-eddy simulation based on OpenFOAM technology
    2019 (English)In: Computer Physics Communications, ISSN 0010-4655, E-ISSN 1879-2944, Vol. 239, p. 204-224Article in journal (Refereed) Published
    National Category
    Fluid Mechanics and Acoustics Computational Mathematics
    Identifiers
    urn:nbn:se:uu:diva-356462 (URN)10.1016/j.cpc.2019.01.016 (DOI)000466248000019 ()
    Available from: 2019-02-02 Created: 2018-07-27 Last updated: 2019-06-19Bibliographically approved
  • 3.
    Mukha, Timofey
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Numerical Analysis.
    Turbulucid: A Python package for post-processing of fluid flow simulations2018In: Journal of Open Research Software, E-ISSN 2049-9647, Vol. 6, article id 23Article in journal (Refereed)
  • 4.
    Mukha, Timofey
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Numerical Analysis.
    Johansson, Mattias
    Liefvendahl, Mattias
    Effect of wall-stress model and mesh-cell topology on the predictive accuracy of LES for wall-bounded flows2018In: Proc. 7th European Conference on Computational Fluid Dynamics, European Community on Computional Methods in Applied Sciences (ECCOMAS), 2018Conference paper (Refereed)
  • 5.
    Mukha, Timofey
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Numerical Analysis.
    Liefvendahl, Mattias
    Eddylicious: A Python package for turbulent inflow generation2018In: SoftwareX, E-ISSN 2352-7110, Vol. 7, p. 112-114Article in journal (Refereed)
  • 6.
    Mukha, Timofey
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Numerical Analysis.
    Liefvendahl, Mattias
    Large-Eddy Simulation of turbulent channel flow2015Report (Other academic)
  • 7.
    Mukha, Timofey
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Numerical Analysis.
    Liefvendahl, Mattias
    The generation of turbulent inflow boundary conditions using precursor channel flow simulations2017In: Computers & Fluids, ISSN 0045-7930, E-ISSN 1879-0747, Vol. 156, p. 21-33Article in journal (Refereed)
  • 8.
    Mukha, Timofey
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Numerical Analysis.
    Rezaeiravesh, Saleh
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Numerical Analysis.
    Liefvendahl, Mattias
    A library for wall-modelled large-eddy simulation based on OpenFOAM technology2019In: Computer Physics Communications, ISSN 0010-4655, E-ISSN 1879-2944, Vol. 239, p. 204-224Article in journal (Refereed)
  • 9.
    Rezaeiravesh, Saleh
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Numerical Analysis.
    Mukha, Timofey
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Numerical Analysis.
    Liefvendahl, Mattias
    A-priori study of wall modeling in large eddy simulation2018In: Proc. 7th European Conference on Computational Fluid Dynamics, European Community on Computional Methods in Applied Sciences (ECCOMAS), 2018Conference paper (Refereed)
  • 10.
    Rezaeiravesh, Saleh
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Numerical Analysis.
    Mukha, Timofey
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Numerical Analysis.
    Liefvendahl, Mattias
    Systematic study of accuracy of wall-modeled large eddy simulation using uncertainty quantification techniques2019In: Computers & Fluids, ISSN 0045-7930, E-ISSN 1879-0747, Vol. 185, p. 34-58Article in journal (Refereed)
1 - 10 of 10
CiteExportLink to result list
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  • apa
  • ieee
  • modern-language-association
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • text
  • asciidoc
  • rtf