59 citations · 271 across the 20 of their papers we have counts for
7 papers · 1 filter
A priori screening of data-enabled turbulence models
Peng E S Chen, Yuanwei Bin, Xiang I A Yang +3
Assessing the compliance of a white-box turbulence model with known turbulent knowledge is straightforward. It enables users to screen conventional turbulence models and identify a…
Progressive augmentation of Reynolds stress tensor models for secondary flow prediction by computational fluid dynamics driven surrogate optimisation
M. J. Rincón, A. Amarloo, M. Reclari +2
Generalisability and the consistency of the a posteriori results are the most critical points of view regarding data-driven turbulence models. This study presents a progressive imp…
Extension of the law of the wall exploiting weak similarity of velocity fluctuations in turbulent channels
Christoffer Hansen, Jens N. Sørensen, Xiang I. A. Yang +1
This paper explores the similarity of the streamwise velocity fluctuations in a channel. In the analysis, we employ a one-dimensional scalar variant of the proper orthogonal decomp…
An extended model for wake-flow simulation of wind farms
Navid Zehtabiyan-Rezaie, Mahdi Abkar
The Reynolds-averaged Navier-Stokes approach coupled with the standard model is widely utilized for wind-energy applications. However, it has been shown that the st…
Log-law recovery through reinforcement-learning wall model for large-eddy simulation
Aurélien Vadrot, Xiang I. A. Yang, H. Jane Bae +1
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 hig…
A short note on turbulence characteristics in wind-turbine wakes
Navid Zehtabiyan-Rezaie, Mahdi Abkar
Analytical wake models need formulations to mimic the impact of wind turbines on turbulence level in the wake region. Several correlations can be found in the literature for this p…
POD-mode-augmented wall model and its applications to flows at non-equilibrium conditions
Christoffer Hansen, Xiang IA Yang, Mahdi Abkar
Insights gained from modal analysis are invoked for predictive large-eddy simulation (LES) wall modeling. Specifically, we augment the law of the wall (LoW) by an additional mode b…