Complex nonlinear dynamics and vibration suppression of conceptual airfoil models: A state-of-the-art overview

Q Liu, Y Xu, J Kurths, X Liu - Chaos: An Interdisciplinary Journal of …, 2022 - pubs.aip.org
During the past few decades, several significant progresses have been made in exploring
complex nonlinear dynamics and vibration suppression of conceptual aeroelastic airfoil …

On the construction of a mode based reduced order model for a moving store

NJ Peters, A Wissink, J Ekaterinaris - Aerospace Science and Technology, 2022 - Elsevier
Store separation from aircraft and spacecraft has been a critical issue for the aerospace
industry. A potential remedy to reduce resources and to improve turn around time in store …

Experimental investigation of aeroelastic instabilities in an aeroengine fan: Using acoustic measurements

Z Li, Y Wang, B Qiao, B Wen, X Chen - Aerospace Science and Technology, 2022 - Elsevier
Aeroelastic instabilities will occur to the aero-engine fans inevitably during transient
operations, causing excessive blade vibration and threatening the structural integrity …

Machine learning-accelerated aerodynamic inverse design

A Shirvani, M Nili-Ahmadabadi… - Engineering Applications of …, 2023 - Taylor & Francis
The computational cost of iterative design methods has been a challenge in aerodynamics.
In this research, the data-driven acceleration of an iterative inverse design method was …

Deep–learning framework for aircraft aerodynamics prediction

G Immordino, A Da Ronch, M Righi - AIAA AVIATION 2023 Forum, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-3846. vid The present paper aims
to develop a deep--learning framework able to predict distributed quantities of aircrafts flying …

Steady-state transonic flowfield prediction via deep-learning framework

G Immordino, A Da Ronch, M Righi - AIAA Journal, 2024 - arc.aiaa.org
This paper focuses on the development of a deep-learning framework for predicting
distributed quantities around aircraft flying in the transonic regime. These quantities play a …

[HTML][HTML] A reduced order model based on artificial neural networks for nonlinear aeroelastic phenomena and application to composite material beams

AJ Torregrosa, A Gil, P Quintero, A Cremades - Composite Structures, 2022 - Elsevier
Applications of composite materials in industry have increased due to their high stiffness-to-
weight ratio. In the particular case of unidirectional fibers or perpendicular fabrics, the …

Online time-varying navigation ratio identification and state estimation of cooperative attack

Y Wang, J Wang, S Fan, L Li - Aerospace Science and Technology, 2023 - Elsevier
An online navigation ratio identification model based on the gated recurrent unit (GRU) and
a state estimation extended Kalman filter (EKF) are proposed under the scenario in which …

[HTML][HTML] Soil-cement mixtures reinforced with fibers: a data-driven approach for mechanical properties prediction

J Tinoco, AAS Correia, PJ Venda Oliveira - Applied Sciences, 2021 - mdpi.com
The reinforcement of stabilized soils with fibers arises as an interesting technique to
overcome the two main limitations of the stabilized soils: the weak tensile/flexural strength …

A deep learning‒genetic algorithm approach for aerodynamic inverse design via optimization of pressure distribution

A Shirvani, M Nili-Ahmadabadi, MY Ha - Computer Methods in Applied …, 2024 - Elsevier
Conventional aerodynamic inverse design (AID) methods have major limitations in terms of
optimality and actuality of target parameter distribution. In this research, the target pressure …