Wind-farm flow control stands at the forefront of grand challenges in wind-energy science.
The central issue is that current algorithms are based on simplified models and, thus, fall …

The traditional method for obtaining aerodynamic parameters of airfoils by solving Navier–
Stokes equations is a time-consuming computing task. In this article, a novel data-driven …

Successful propagation of information from high-fidelity sources (ie, direct numerical
simulations and large-eddy simulations) into Reynolds-averaged Navier–Stokes (RANS) …

We use experimental and simulation data to recalibrate the standard Spalart–Allmaras
model. Free-shear flow, the buffer layer, the log layer, and flows with adverse pressure …

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 …

Multilevel inverter switches (MIS) present a thermal management challenge by virtue of their
small size yet high power operation. In this contribution, a water-cooled heat sink for an MIS …

Abstract Machine-learned augmentations to turbulence models can be advantageous for
flows within the training dataset but can often cause harm outside. This lack of …

In order to achieve a virtual certification process and robust designs for turbomachinery, the
uncertainty bounds for Computational Fluid Dynamics have to be known. The formulation of …

Transition modeling represents one of the key challenges in computational fluid dynamics.
While numerical efforts were traditionally devoted to either improving Reynolds-averaged …

Domestic ultrasonic flow meters with an intrusive two-stand configuration present a complex
flow behaviour due to their unique geometry, which offers an interesting case to evaluate …