Physics-agnostic and physics-infused machine learning for thin films flows: modelling, and predictions from small data
CP Martin-Linares, YM Psarellis… - Journal of Fluid …, 2023 - cambridge.org
Numerical simulations of multiphase flows are crucial in numerous engineering applications,
but are often limited by the computationally demanding solution of the Navier–Stokes (NS) …
but are often limited by the computationally demanding solution of the Navier–Stokes (NS) …
The randomness and determinacy of wall pressure fluctuations in incompressible flow
XJ Zhao, Z Chen, B Dong - Physics of Fluids, 2024 - pubs.aip.org
Wall pressure fluctuations caused by turbulent boundary layers have a significant impact on
aircraft structural vibration and cabin noise. This study aims to investigate the mechanism of …
aircraft structural vibration and cabin noise. This study aims to investigate the mechanism of …
[HTML][HTML] Predicting Wall Pressure Fluctuations on Aerospace Launchers Through Machine Learning Approaches
E de Paola, R Camussi, F Gasparetti, A Di Marco… - Aerospace, 2024 - mdpi.com
Artificial intelligence (AI) can be used to optimize the prediction of pressure fluctuations over
the external surfaces of aerospace launchers and minimize the number of wind tunnel tests …
the external surfaces of aerospace launchers and minimize the number of wind tunnel tests …
An extensive near-field noise prediction of a subsonic jet using data-driven surrogate model based on neural networks
The use of surrogate models has become essential in modern design processes, with
machine learning algorithms increasingly adapting to active metamodelling techniques. In …
machine learning algorithms increasingly adapting to active metamodelling techniques. In …