Wall shear stress and wall heat flux in a supersonic turbulent boundary layer

F Tong, S Dong, J Lai, X Yuan, X Li - physics of fluids, 2022 - pubs.aip.org
We report the characteristics of wall shear stress (WSS) and wall heat flux (WHF) from direct
numerical simulation (DNS) of a spatially developing zero-pressure-gradient supersonic …

Direct numerical simulation of turbulent open channel flows at moderately high Reynolds numbers

J Yao, X Chen, F Hussain - Journal of Fluid Mechanics, 2022 - cambridge.org
Well-resolved direct numerical simulations of turbulent open channel flows (OCFs) are
performed for friction Reynolds numbers up to. In summary, the free surface in OCFs plays …

Extreme wall shear stress events in turbulent pipe flows: spatial characteristics of coherent motions

B Guerrero, MF Lambert, RC Chin - Journal of Fluid Mechanics, 2020 - cambridge.org
This work presents a detailed analysis of the flow structures relevant to extreme wall shear
stress events for turbulent pipe flow direct numerical simulation data at a friction Reynolds …

Interaction of coherent flow structures in adverse pressure gradient turbulent boundary layers

M Bross, T Fuchs, CJ Kähler - Journal of Fluid Mechanics, 2019 - cambridge.org
With the aim to characterize the near-wall flow structures and their interaction with large-
scale motions in the log-law region, time-resolved planar and volumetric flow field …

[HTML][HTML] Quantifying uncertainties in direct numerical simulations of a turbulent channel flow

J O'Connor, S Laizet, A Wynn, W Edeling… - Computers & Fluids, 2024 - Elsevier
Direct numerical simulation (DNS) provides unrivalled levels of detail and accuracy for
simulating turbulent flows. However, like all numerical methods, DNS is subject to …

Reducing the skin-friction drag of a turbulent boundary-layer flow with low-amplitude wall-normal blowing within a Bayesian optimization framework

OA Mahfoze, A Moody, A Wynn, RD Whalley, S Laizet - Physical Review Fluids, 2019 - APS
A Bayesian optimization framework is developed to optimize low-amplitude wall-normal
blowing control of a turbulent boundary-layer flow. The Bayesian optimization framework …

Consistency between the attached-eddy model and the inner–outer interaction model: a study of streamwise wall-shear stress fluctuations in a turbulent channel flow

C Cheng, L Fu - Journal of Fluid Mechanics, 2022 - cambridge.org
The inner–outer interaction model (Marusic et al., Science, vol. 329, 2010, pp. 193–196) and
the attached-eddy model (Townsend, Cambridge University Press, 1976) are two …

Quantifying uncertainties in direct-numerical-simulation statistics due to wall-normal numerics and grids

PES Chen, X Zhu, Y Shi, XIA Yang - Physical Review Fluids, 2023 - APS
This paper takes the perspective of a user of direct-numerical-simulation (DNS) data and
quantifies the uncertainties in DNS statistics for plane channel flows. We focus on high-order …

Log-law recovery through reinforcement-learning wall model for large eddy simulation

A Vadrot, XIA Yang, HJ Bae, M Abkar - Physics of Fluids, 2023 - pubs.aip.org
This paper focuses on the use of reinforcement learning (RL) as a machine-learning (ML)
modeling tool for near-wall turbulence. RL has demonstrated its effectiveness in solving high …

Wall shear stress, pressure, and heat flux fluctuations in compressible wall-bounded turbulence, part I: One-point statistics

M Yu, PX Liu, YL Fu, ZG Tang, XX Yuan - Physics of Fluids, 2022 - pubs.aip.org
This two-part study investigates the effects of Mach number and wall temperature on the
statistics of wall shear stress, pressure, and heat flux fluctuations in compressible wall …