C. J. Lloyd
Numerical errors at walls: on the sensitivity of RANS models to near-wall cell size
Lloyd, C. J.; Peakall, J.; Burns, A. D.; Keevil, G. M.; Dorrell, R. M.
Authors
J. Peakall
A. D. Burns
G. M. Keevil
R. M. Dorrell
Abstract
The sensitivity of a large range of turbulence closures to the near-wall grid resolution is assessed through analytical and numerical techniques. We determine model boundedness, limiting behaviour, and solution dependence of channel flow simulations to the near-wall cell size y+1. The sensitivity of present simulations to y+1 is strongly dependent on the choice of scale determining variable; ε and ω based models can lead to friction velocity errors of 1.5% and 4.74% at y+1 ≈ 1, the latter due to the singular behaviour of ω close to the wall. Here this is mitigated by adopting mathematically equivalent k − ω', k − g or k − τ models, which reduce errors by an order of magnitude to < 0.1% at y+1≈0.3. The k−τ model is insensitive to y+1 motivating a new closure with updated coefficients and a cross diffusion term, with the aim to ensure its applicability to a wider range of flows.
Citation
Lloyd, C. J., Peakall, J., Burns, A. D., Keevil, G. M., & Dorrell, R. M. (in press). Numerical errors at walls: on the sensitivity of RANS models to near-wall cell size. International Journal of Computational Fluid Dynamics, 34(3), 204-225. https://doi.org/10.1080/10618562.2020.1732941
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 29, 2020 |
Online Publication Date | Mar 3, 2020 |
Deposit Date | Jun 25, 2020 |
Journal | International Journal of Computational Fluid Dynamics |
Print ISSN | 1061-8562 |
Publisher | Taylor & Francis |
Peer Reviewed | Peer Reviewed |
Volume | 34 |
Issue | 3 |
Pages | 204-225 |
DOI | https://doi.org/10.1080/10618562.2020.1732941 |
Keywords | RANS; Numerical error; Boundary layer; Near-wall grid resolution; k−ω alternatives |
Public URL | https://hull-repository.worktribe.com/output/3516079 |
Publisher URL | https://www.tandfonline.com/doi/abs/10.1080/10618562.2020.1732941?journalCode=gcfd20 |
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