11 citations · 21 across the 12 of their papers we have counts for
12 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…
Wall-scaled eddies and embedded shear layers in high-Reynolds-number moderate adverse-pressure-gradient boundary layers
Ahmad Zarei, Mitchell Lozier, Ivan Marusic +1
This study compares high-Reynolds-number turbulent boundary layers under zero and low-to-moderate adverse pressure gradients, showing similar scaling and energy contributions from…
On the wake region of high-Reynolds-number turbulent boundary layers subject to adverse pressure gradients
Mitchell Lozier, Ahmad Zarei, Ivan Marusic +1
The effect of a moderate adverse pressure gradient (APG) on the structure of a high-Reynolds-number turbulent boundary layer (TBL) was investigated experimentally using complementa…
High-Reynolds-number turbulent boundary layers under adverse pressure gradients. Part 2. A composite mean velocity profile
Ahmad Zarei, Mitchell Lozier, Rahul Deshpande +1
A robust composite mean velocity profile is developed for turbulent boundary layers (TBLs) subjected to adverse pressure gradients (APGs), extending the composite formulation for g…
High-Reynolds-number turbulent boundary layers under adverse pressure gradients. Part 1. Decoupling local and upstream pressure gradient effects
Ahmad Zarei, Mitchell Lozier, Rahul Deshpande +1
This study presents a controlled examination of the universality of the von Karman and additive coefficients in the logarithmic law of the mean streamwise velocity profile for high…
Defining the mean turbulent boundary layer thickness based on streamwise velocity skewness
Mitchell Lozier, Rahul Deshpande, Ahmad Zarei +3
A new statistical definition for the mean turbulent boundary layer thickness is introduced, based on identification of the point where the streamwise velocity skewness changes sign…
Turbulent/non-turbulent interface in high Reynolds number pressure gradient boundary layers
Ivan Marusic, Wagih Abu Rowin, Mitchell Lozier +3
We report two-dimensional particle image velocimetry experiments in high Reynolds number turbulent boundary layers imposed with a moderately strong streamwise pressure gradient. Th…
A method for evaluating relations of turbulent normal-stresses by experimental data over a wide range of Reynolds numbers
Hassan Nagib, Ivan Marusic
Recently, Nagib et al (2024} utilized indicator functions of profiles of the streamwise normal stress to reveal the ranges of validity, in wall distance and Reynolds number, for ea…
A note on the amplitude modulation phenomenon in non-canonical wall-bounded flows
Mitchell Lozier, Ivan Marusic, Rahul Deshpande
The amplitude modulation phenomena, defined originally by Mathis et al. (J. Fluid Mech., 628, 311-337; 2009), corresponds to a unique non-linear interaction between Reynolds number…
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…
Characteristics of active and inactive motions in high-Reynolds-number turbulent boundary layers
Rahul Deshpande, Ricardo Vinuesa, Ivan Marusic
Wall-scaled (attached) eddies play a significant role in the overall drag experienced in high-Reynolds-number turbulent boundary layers (TBLs). This study aims to delve into the un…
Identifying regions of importance in wall-bounded turbulence through explainable deep learning
Andres Cremades, Sergio Hoyas, Rahul Deshpande +8
Despite its great scientific and technological importance, wall-bounded turbulence is an unresolved problem in classical physics that requires new perspectives to be tackled. One o…