Abstract
The forward and inverse energy cascades in turbulent channel flow are studied by extracting flow specific subgrid coefficients. The effect that subgrid scales of motion have on the resolved scales is quantified by developing subgrid models from the statistics of the differences between a reference direct numerical simulations (DNS) and a truncated DNS using the method of Frederiksen and Kepert, J. Atmos. Sci. 63:3006–3019, 2006 [1].
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Frederiksen, J.S., Kepert, S.M.: Dynamical subgrid-scale parameterizations from direct numerical simulations. J. Atmos. Sci. 63, 3006–3019 (2006)
Kim, J., Moin, P., Moser, R.: Turbulence statistics in fully developed channel flow at low Reynolds number. J. Fluid Mech. 177, 133–166 (1987)
Kitsios, V., Sillero, J.A., Soria, J., Frederiksen, J.S.: Stochastic self-energy subgrid model for the large eddy simulation of turbulent channel flows. J. Phys. Conf. Ser. 506, 012001 (2014)
Acknowledgments
The authors acknowledge the computational resources provided by the NCI, and the funding from the European Research Council, Australian Research Council, and CSIRO. Julio Soria gratefully acknowledges the support of the Australian Research Council Discovery Outstanding Researcher Award fellowship.
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Kitsios, V., Sillero, J.A., Frederiksen, J.S., Soria, J. (2016). Scale Dependent Stochastic Self-energy Model of the Energy Transfers in Turbulent Channel Flows. In: Peinke, J., Kampers, G., Oberlack, M., Wacławczyk, M., Talamelli, A. (eds) Progress in Turbulence VI. Springer Proceedings in Physics, vol 165. Springer, Cham. https://doi.org/10.1007/978-3-319-29130-7_25
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DOI: https://doi.org/10.1007/978-3-319-29130-7_25
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