60 citations · 75 across the 5 of their papers we have counts for
5 papers
Reynolds-number evolution of wall-pressure statistics beneath canonical turbulent boundary layers
Rahul Deshpande, Balaraman Panneerselvam, Vijaya R. R. Gudla +2
This study investigates the Reynolds-number (Re_τ) evolution of wall-pressure statistics beneath zero-pressure-gradient TBLs, and links their logarithmic variation to the increasin…
Active and inactive contributions to the wall pressure and wall-shear stress in turbulent boundary layers
Rahul Deshpande, Ricardo Vinuesa, Joseph Klewicki +1
A phenomenological description is presented to explain the intermediate and low-frequency/large-scale contributions to the wall-shear-stress () and wall-pressure () spe…
Gradient Information and Regularization for Gene Expression Programming to Develop Data-Driven Physics Closure Models
Fabian Waschkowski, Haochen Li, Abhishek Deshmukh +5
Learning accurate numerical constants when developing algebraic models is a known challenge for evolutionary algorithms, such as Gene Expression Programming (GEP). This paper intro…
Multi-Objective CFD-Driven Development of Coupled Turbulence Closure Models
Fabian Waschkowski, Yaomin Zhao, Richard Sandberg +1
This paper introduces two novel concepts in data-driven turbulence modeling that enable the simultaneous development of multiple closure models and the training towards multiple ob…
A self-sustaining process theory for uniform momentum zones and internal shear layers in high Reynolds number shear flows
Brandon Montemuro, Christopher M. White, Joseph C. Klewicki +1
Many exact coherent states (ECS) arising in wall-bounded shear flows have an asymptotic structure at extreme Reynolds number Re in which the effective Reynolds number governing the…