Grasping extreme aerodynamics on a low-dimensional manifold

K Fukami, K Taira - Nature Communications, 2023 - nature.com
Modern air vehicles perform a wide range of operations, including transportation, defense,
surveillance, and rescue. These aircraft can fly in calm conditions but avoid operations in …

Towards a new paradigm in intelligence-driven computational fluid dynamics simulations

X Chen, Z Wang, L Deng, J Yan, C Gong… - Engineering …, 2024 - Taylor & Francis
Computational Fluid Dynamics (CFD) plays a crucial role in investigating new physical
phenomena and exploring the principles of fluid mechanics. However, CFD numerical …

Autoencoder‐based flow‐analogue probabilistic reconstruction of heat waves from pressure fields

J Pérez‐Aracil, CM Marina, E Zorita… - Annals of the New …, 2024 - Wiley Online Library
This paper presents a novel hybrid approach for the probabilistic reconstruction of
meteorological fields based on the combined use of the analogue method (AM) and deep …

Data-driven transient lift attenuation for extreme vortex gust-airfoil interactions

K Fukami, H Nakao, K Taira - arXiv preprint arXiv:2403.00263, 2024 - arxiv.org
We present a data-driven feedforward control to attenuate large transient lift experienced by
an airfoil disturbed by an extreme level of discrete vortex gust. The current analysis uses a …

Data-Driven Modeling, Sensing, and Control of Extreme Vortex-Airfoil Interactions

K Fukami, K Taira - AIAA AVIATION FORUM AND ASCEND 2024, 2024 - arc.aiaa.org
This study considers data-driven strategies to tackle a range of problems under violent gusty
aerodynamic conditions, referred to as extreme aerodynamics. Modern small-scale air …