Journal article
Data-driven enhancement of coherent structure-based models for predicting instantaneous wall turbulence
R Deshpande, CM de Silva, M Lee, JP Monty, I Marusic
International Journal of Heat and Fluid Flow | ELSEVIER SCIENCE INC | Published : 2021
Abstract
Predictions of the spatial representation of instantaneous wall-bounded flows, via coherent structure-based models, are highly sensitive to the geometry of the representative structures employed by them. In this study, we propose a methodology to extract the three-dimensional (3-D) geometry of the statistically significant eddies from multi-point wall-turbulence datasets, for direct implementation into these models to improve their predictions. The methodology is employed here for reconstructing a 3-D statistical picture of the inertial wall coherent turbulence for all canonical wall-bounded flows, across a decade of friction Reynolds number (Reτ). These structures are responsible for the Re..
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Awarded by U.S. Department of Energy
Funding Acknowledgements
The authors wish to acknowledge the Australian Research Council for financial support. They are also grateful to the authors of Sillero et al. (2014), Baars et al. (2017) and Baidya et al. (2019) for making their respective data available. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-NA0003525. This paper describes objective technical results and analysis. Any subjective views or opinions that might be expressed in the paper do not necessarily represent the views of the U.S. Department of Energy or the United States Government.