Change search
ReferencesLink to record
Permanent link

Direct link
Inflow generation for scale-resolving simulations of turbulent boundary layers
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.
2016 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Generating inflow fields for scale-resolving simulations of turbulent flow is crucial for a wide range of applications and is an active area of research. In this thesis, a method for inflow generation employing a precursor turbulent channel flow simulation is proposed. A procedure for determining the parameters of the precursor simulation based on the properties of the inflow is given. To evaluate the performance of the method, results from a simulation of a flat-plate zero-pressure-gradient turbulent boundary layer are analysed. The adaption length is quantified in terms of the development of integral quantities and the statistical moments of the velocity field. The performance is also compared with that of a state-of-the-art rescaling method for the generation of inflow data. It is shown that both approaches result in adaption lengths of comparable sizes, which makes the proposed method an attractive alternative due to its conceptual simplicity and robustness.

As part of the work on inflow generation, a Python package, eddylicious, was developed. The purpose of the package is to be a framework within which various generation methods can be implemented. The package is available online under an open-source license. An overview of the architecture and currently implemented functionality of the package is given in this thesis.

Furthermore, the results of a preparatory study on large-eddy simulation of wall-bounded turbulent flows are discussed. Fully-developed turbulent channel flow is used as a model problem, and the general-purpose computational fluid dynamics solver OpenFOAM is employed. The accuracy of the results with respect to the resolution of the computational mesh is analysed. Several modelling approaches for the subgrid scale stresses are considered.

Place, publisher, year, edition, pages
Uppsala University, 2016.
Series
Information technology licentiate theses: Licentiate theses from the Department of Information Technology, ISSN 1404-5117 ; 2016-009
National Category
Computational Mathematics
Research subject
Scientific Computing with specialization in Numerical Analysis
Identifiers
URN: urn:nbn:se:uu:diva-302808OAI: oai:DiVA.org:uu-302808DiVA: diva2:967753
Supervisors
Available from: 2016-09-09 Created: 2016-09-09 Last updated: 2016-09-09Bibliographically approved
List of papers
1. Large-Eddy Simulation of turbulent channel flow
Open this publication in new window or tab >>Large-Eddy Simulation of turbulent channel flow
2015 (English)Report (Other academic)
Series
Technical report / Department of Information Technology, Uppsala University, ISSN 1404-3203 ; 2015-014
National Category
Computational Mathematics
Identifiers
urn:nbn:se:uu:diva-253123 (URN)
Available from: 2015-05-20 Created: 2015-05-20 Last updated: 2016-09-09Bibliographically approved
2. 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
2016 (English)Article in journal (Other academic) Submitted
National Category
Computational Mathematics
Identifiers
urn:nbn:se:uu:diva-302801 (URN)
External cooperation:
Available from: 2016-09-09 Created: 2016-09-09 Last updated: 2016-09-09Bibliographically approved
3. Eddylicious: A Python package for turbulent inflow generation
Open this publication in new window or tab >>Eddylicious: A Python package for turbulent inflow generation
2016 (English)In: SoftwareX, ISSN 2352-7110Article in journal (Other academic) Submitted
National Category
Computational Mathematics
Identifiers
urn:nbn:se:uu:diva-302803 (URN)
External cooperation:
Available from: 2016-09-09 Created: 2016-09-09 Last updated: 2016-09-09Bibliographically approved

Open Access in DiVA

fulltext(4936 kB)40 downloads
File information
File name FULLTEXT01.pdfFile size 4936 kBChecksum SHA-512
a50498a9e8d1bde78523852903c03f4dfec58cfc409260ca6d0a05013296fe34fa9c3f93d0f7ad2c5d54ebd8045ece53923f480c16106f5ad699f2d78a66f875
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Mukha, Timofey
By organisation
Division of Scientific ComputingNumerical Analysis
Computational Mathematics

Search outside of DiVA

GoogleGoogle Scholar
Total: 40 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 107 hits
ReferencesLink to record
Permanent link

Direct link