[HTML][HTML] Recent progress of machine learning in flow modeling and active flow control
In terms of multiple temporal and spatial scales, massive data from experiments, flow field
measurements, and high-fidelity numerical simulations have greatly promoted the rapid …
measurements, and high-fidelity numerical simulations have greatly promoted the rapid …
About the influences of compressibility, heat transfer and pressure gradients in compressible turbulent boundary layers
This paper presents a comprehensive analysis of the momentum and energy transfer in
compressible turbulent boundary layers based on integral identities. By considering data …
compressible turbulent boundary layers based on integral identities. By considering data …
Separating large-scale superposition and modulation in turbulent channels
The presence of very-large-scale motions in wall-bounded turbulent flows is commonly
associated with their footprint in the form of the superposition of the large scales at the wall …
associated with their footprint in the form of the superposition of the large scales at the wall …
Reducing the skin-friction drag of a turbulent boundary-layer flow with low-amplitude wall-normal blowing within a Bayesian optimization framework
A Bayesian optimization framework is developed to optimize low-amplitude wall-normal
blowing control of a turbulent boundary-layer flow. The Bayesian optimization framework …
blowing control of a turbulent boundary-layer flow. The Bayesian optimization framework …
Aerodynamic effects of uniform blowing and suction on a NACA4412 airfoil
We carried out high-fidelity large-eddy simulations to investigate the effects of uniform
blowing and uniform suction on the aerodynamic efficiency of a NACA4412 airfoil at the …
blowing and uniform suction on the aerodynamic efficiency of a NACA4412 airfoil at the …
A variable gradient descent shape optimization method for transition tee resistance reduction
R Jing, R Gao, M Liu, A Li, S Yu, X Xie, C Chen… - Building and …, 2023 - Elsevier
In this paper, a local component optimization method is proposed for reducing resistance
and consumption in building transmission and distribution systems. The gradient descent …
and consumption in building transmission and distribution systems. The gradient descent …
[HTML][HTML] Predicting the skin friction's evolution in a forced turbulent channel flow
A Martín-Gil, O Flores - Computers & Fluids, 2024 - Elsevier
The present paper reports on the ability of neural networks (NN) and linear stochastic
estimation (LSE) tools to predict the evolution of skin friction in a minimal turbulent channel …
estimation (LSE) tools to predict the evolution of skin friction in a minimal turbulent channel …
Turbulent drag reduction over curved walls
J Banchetti, P Luchini, M Quadrio - Journal of Fluid Mechanics, 2020 - cambridge.org
This work studies the effects of skin-friction drag reduction in a turbulent flow over a curved
wall, with a view to understanding the relationship between the reduction of friction and …
wall, with a view to understanding the relationship between the reduction of friction and …
Investigation of blowing and suction for turbulent flow control on airfoils
An extensive parametric study of turbulent boundary-layer control on airfoils via uniform
blowing or suction is presented. The control is applied on either the suction or pressure side …
blowing or suction is presented. The control is applied on either the suction or pressure side …
Skin-friction reduction using periodic blowing through streamwise slits
XQ Cheng, ZX Qiao, X Zhang, M Quadrio… - Journal of Fluid …, 2021 - cambridge.org
Active skin-friction reduction in a turbulent boundary layer (TBL) is experimentally studied
based on time-periodic blowing through one array of streamwise slits. The control …
based on time-periodic blowing through one array of streamwise slits. The control …