96 citations · 463 across the 18 of their papers we have counts for
6 papers · 1 filter
Study of transfer learning from 2D supercritical airfoils to 3D transonic swept wings
Runze Li, Yufei Zhang, Haixin Chen
Machine learning has been widely utilized in fluid mechanics studies and aerodynamic optimizations. However, most applications, especially flow field modeling and inverse design, i…
Data augmented turbulence modeling for three-dimensional separation flows
Chongyang Yan, Yufei Zhang, Haixin Chen
Field inversion and machine learning are implemented in this study to describe three-dimensional separation flow around an axisymmetric hill and augment the Spart-Allmaras model. T…
Flowfield prediction of airfoil off-design conditions based on a modified variational autoencoder
Yunjia Yang, Runze Li, Yufei Zhang +1
Airfoil aerodynamic optimization based on single-point design may lead to poor off-design behaviors. Multipoint optimization that considers the off-design flow conditions is usuall…
Physically Interpretable Feature Learning and Inverse Design of Supercritical Airfoils
Runze Li, Yufei Zhang, Haixin Chen
Machine-learning models have demonstrated a great ability to learn complex patterns and make predictions. In high-dimensional nonlinear problems of fluid dynamics, data representat…
An iterative data-driven turbulence modeling framework based on Reynolds stress representation
Yuhui Yin, Yufei Zhang, Haixin Chen +1
Data-driven turbulence modeling studies have reached such a stage that the fundamental framework is basically settled, but several essential issues remain that strongly affect the…
Incremental Control System Design and Flight Tests of a Micro-Coaxial Rotor UAV
Z. C. Liu, Y. F. Zhang, Z. D. zhang +1
In this paper, the incremental nonlinear dynamic inversion (INDI) method is applied to the control system design of coaxial rotor UAVs. The aerodynamic uncertainty and anti-disturb…