Airfoil self-noise prediction using deep neural networks
This study explores the prediction of airfoil self-noise through Deep Learning whilst focusing
more specifically on the so-called turbulent boundary layer trailing edge (TBL-TE) noise. To …
more specifically on the so-called turbulent boundary layer trailing edge (TBL-TE) noise. To …
Data-driven prediction of aerodynamic noise of transonic buffeting over an airfoil
Accurately predicting buffet frequency and aerodynamic noise level is crucial in transonic
buffet noise reduction studies. In this study, the Random Forest (RF) algorithm is employed …
buffet noise reduction studies. In this study, the Random Forest (RF) algorithm is employed …
Experimental characterisation and data-driven modelling of unsteady wall pressure fields induced by a supersonic jet over a tangential flat plate
This work deals with the investigation and modelling of wall pressure fluctuations induced by
a supersonic jet over a tangential flat plate. The analysis is performed at several nozzle …
a supersonic jet over a tangential flat plate. The analysis is performed at several nozzle …
A hybrid approach for reconstruction of transonic buffet aerodynamic noise: Integrating random forest and compressive sensing algorithm
Q Zhang, W Zhang - Aerospace Science and Technology, 2024 - Elsevier
Experimental measurements and numerical simulation methods for obtaining aerodynamic
noise face issues such as high costs and long periods. A single machine learning method …
noise face issues such as high costs and long periods. A single machine learning method …
Optimal transonic buffet aerodynamic noise PSD predictions with Random Forest: modeling methods and feature selection
Q Zhang, D Yang, W Zhang - Aerospace Science and Technology, 2024 - Elsevier
To address challenges such as long computational cycles and high experimental
measurement costs in obtaining Power Spectral Density (PSD) of aerodynamic noise, this …
measurement costs in obtaining Power Spectral Density (PSD) of aerodynamic noise, this …
[HTML][HTML] 航空气动噪声机器学习研究进展
张巧， 杨党国， 吴德松， 张伟伟 - 空气动力学学报, 2024 - pubs.cstam.org.cn
气体流动过程会产生压力脉动诱发气动噪声, 高强度气动噪声可能会产生声疲劳,
声振耦合等现象降低飞机安全性能. 本文从气动噪声研究背景着手, 结合气动噪声获取方法 …
声振耦合等现象降低飞机安全性能. 本文从气动噪声研究背景着手, 结合气动噪声获取方法 …
Data-driven modeling for rapid prediction of aerodynamic noise directivity of flow over a cylinder
Y Jin, F Liao, J Cai - Applied Mathematical Modelling, 2025 - Elsevier
Conventional high-fidelity simulations are prohibitively expensive for aerodynamic noise
optimization and control applications. Developing surrogate models of minimal …
optimization and control applications. Developing surrogate models of minimal …
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 …