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Published in Physical Review Fluids, 2021
In this paper, we show that bypass and subcritical orderly transition can be simulated using the computationally efficient wall-modeled LES method. We use Self-Organizing Map (SOM) to distinguish Turbulent-Non-Turbulent (T-NT) regions of the flow and selectively apply wall-modeling only in turbulent regions of the flow. We were able to show that this method successfully captures the right trends in the evolution of friction Reynolds number (skin-friction) similar to a DNS at much less computational cost.
Recommended citation: Ghanesh Narasimhan, Charles Meneveau, and Tamer A. Zaki. (2021). "Large eddy simulation of transitional channel flow using a machine learning classifier to distinguish laminar and turbulent regions; Phys. Rev. Fluids . 6, 074608. https://journals.aps.org/prfluids/abstract/10.1103/PhysRevFluids.6.074608
Published in Physical Review Fluids, 2022
Large Eddy Simulation (LES) is used to study the wind veer effects on the wake of a yawed wind turbine. The veer deflects the wake in the spanwise direction, and this effect can be captured in the wake model by adding a veer correction term. The counter-rotating vortex pair structures previously observed behind yawed turbines can also be recovered by subtracting the background veer vorticity.
Recommended citation: Ghanesh Narasimhan, Dennice F. Gayme, and Charles Meneveau (2022). "Effects of wind veer on a yawed wind turbine wake in atmospheric boundary layer flow; Phys. Rev. Fluids . 7(11), p. 114609. https://journals.aps.org/prfluids/abstract/10.1103/PhysRevFluids.7.114609
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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