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Regularity diagnostics applied to a turbulent boundary layer

Bae, H. J. and Gibbon, J. D. and Kerr, R. M. and Lozano-Durán, A. (2018) Regularity diagnostics applied to a turbulent boundary layer. In: Studying Turbulence Using Numerical Simulation Databases - XVI. Stanford University , Stanford, CA, pp. 247-255. https://resolver.caltech.edu/CaltechAUTHORS:20210322-152610635

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Abstract

Regularity diagnostics for the Navier-Stokes equations based on rescaled high-order vorticity moments are applied to direct numerical simulation (DNS) of plane turbulent channel flow and calculations of high-Reynolds-number vortex reconnection. At the wall-normal height typical of the tips of hairpin vortices, the temporal evolution of the vorticity moments is qualitatively similar to that of controlled high-Reynolds-number vortex reconnection in the absence of walls. Both the channel flow and vortex reconnection data exhibit higher measure of vorticity than previous results from decaying and forced isotropic turbulence. This allows for future analysis of vortex dynamics based on new results detailing the vorticity and helicity dynamics of reconnection events.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
http://web.stanford.edu/group/ctr/Summer/SP18/reports/IV_Wall_Turbulence/05_Bae.pdfOrganizationPaper
ORCID:
AuthorORCID
Bae, H. J.0000-0001-6789-6209
Lozano-Durán, A.0000-0001-9306-0261
Additional Information:The authors acknowledge use of computational resources from the Certainty cluster awarded by the National Science Foundation to CTR, and the computing resources at the University of Warwick provided by its Centre for Scientific Computing, including use of the UK-EPSRC-funded Mid-Plus Consortium cluster.
Funders:
Funding AgencyGrant Number
NSFUNSPECIFIED
Engineering and Physical Sciences Research Council (EPSRC)UNSPECIFIED
Record Number:CaltechAUTHORS:20210322-152610635
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20210322-152610635
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:108520
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:24 Mar 2021 21:42
Last Modified:24 Mar 2021 21:42

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