Olivieri, DA, Fairweather, M and Falle, SAEG (2010) Adaptive mesh refinement applied to the scalar transported PDF equation in a turbulent jet. International Journal for Numerical Methods in Engineering, 84 (4). pp. 434-447. ISSN 0029-5981
Abstract
This paper describes a novel solution method for the transported probability density function (PDF) equation for scalars (compositions). In contrast to conventional solution methods based on the Monte Carlo approach, we use a finite‐volume method combined with adaptive mesh refinement (AMR) applied in both physical and compositional space. The obvious advantage of this over a uniform grid is that fine meshes are only used where the solution requires high resolution. The efficiency of the method is demonstrated by a number of tests involving a turbulent jet flow with up to two scalars (both reacting and non‐reacting). We find that the AMR calculation can be at a fraction of the computer cost of a uniform grid calculation with the same accuracy. Copyright © 2010 John Wiley & Sons, Ltd.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | Copyright © 2010 John Wiley & Sons, Ltd. This is the peer reviewed version of the following article: Olivieri, DA, Fairweather, M and Falle, SAEG (2010) Adaptive mesh refinement applied to the scalar transported PDF equation in a turbulent jet. International Journal for Numerical Methods in Engineering, 84 (4). pp. 434-447. ISSN 0029-5981, which has been published in final form at https://doi.org/10.1002/nme.2899. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. |
Keywords: | transported PDF; adaptive mesh refinement; finite‐volume method; Reynolds‐averaged Navier–Stokes; molecular mixing |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Applied Mathematics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 10 Jul 2019 10:03 |
Last Modified: | 10 Jul 2019 10:03 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1002/nme.2899 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:90988 |