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Toward low order models of wall turbulence using resolvent analysis

Rosenberg, K. and Saxton-Fox, T. and Lozano-Duran, A. and Towne, A. and McKeon, B. J. (2016) Toward low order models of wall turbulence using resolvent analysis. In: Studying Turbulence Using Numerical Simulation Databases - XVI : Proceedings of the 2016 Summer Program : Dedicated to the memory of John Lumley (1930-2015). Center for Turbulence Research , Stanford, CA, pp. 305-314. http://resolver.caltech.edu/CaltechAUTHORS:20171128-094432410

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Abstract

Resolvent analysis for wall turbulence has the potential to provide a physical basis for both sub-grid scale and dynamic wall models for large-eddy simulations (LES), and an explicit representation of the interface between resolved and modeled scales. Toward the development of such a wall model, direct numerical simulation results are used to represent the Reynolds stresses, formulated as the nonlinear feedback (forcing) to the linear(ized) Navier-Stokes equations. It is found from direct calculation of the Reynolds stress gradients that the (solenoidal) nonlinear feedback is coherent and consistent with energetic activity that is localized in the wall-normal direction. Further, there exists a spatial organization of this forcing that is correlated with individual(large) scales. A brief outlook for LES modeling is given.


Item Type:Book Section
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URLURL TypeDescription
https://stanford.app.box.com/s/58y3vxxl21rh2d8m6ocfqt7cy1aqfhewPublisherConference paper
https://ctr.stanford.edu/proceedings-2016-summer-programPublisherConference Proceedings
ORCID:
AuthorORCID
Saxton-Fox, T.0000-0003-1328-4148
Additional Information:Discussions with other CTR Summer Program participants, especially Mihailo Jovanovic, Peter Schmid, Xiaohua Wu and Armin Zare, were extremely helpful to the development of this work. The authors acknowledge use of computational resources from the Certainty cluster awarded by the National Science Foundation to CTR.
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Record Number:CaltechAUTHORS:20171128-094432410
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20171128-094432410
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:83491
Collection:CaltechAUTHORS
Deposited By: Katherine Johnson
Deposited On:28 Nov 2017 18:14
Last Modified:28 Nov 2017 18:16

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