A novel spatial-temporal prediction method for unsteady wake flows based on hybrid deep neural network R Han, Y Wang, Y Zhang, G Chen Physics of Fluids 31 (12), 2019 | 187 | 2019 |
Fast pressure distribution prediction of airfoils using deep learning X Hui, J Bai, H Wang, Y Zhang Aerospace Science and Technology 105, 105949, 2020 | 162 | 2020 |
Aerodynamic performance investigation on a morphing unmanned aerial vehicle with bio-inspired discrete wing structures Z Hui, Y Zhang, G Chen Aerospace Science and Technology 95, 105419, 2019 | 80 | 2019 |
Greedy nonintrusive reduced order model for fluid dynamics W Chen, JS Hesthaven, B Junqiang, Y Qiu, Z Yang, Y Tihao AIAA Journal 56 (12), 4927-4943, 2018 | 77 | 2018 |
Fully local formulation of a transition closure model for transitional flow simulations J Xu, J Bai, L Qiao, Y Zhang, Z Fu AIAA Journal 54 (10), 3015-3023, 2016 | 51 | 2016 |
Parallel compatible transition closure model for high-speed transitional flow J Xu, J Bai, Z Fu, L Qiao, Y Zhang, J Xu AIAA Journal 55 (9), 3040-3050, 2017 | 42 | 2017 |
Effects of individual horizontal distance on the three-dimensional bionic flapping multi-wings in different schooling configurations J Han, Y Zhang, G Chen Physics of Fluids 31 (4), 2019 | 39 | 2019 |
Development of a computational fluid dynamics compatible mathematical model for boundary layer transitional flows in low-disturbance environment J Xu, J Bai, L Qiao, Y Zhang Aerospace Science and Technology 86, 487-496, 2019 | 32 | 2019 |
Fully local amplification factor transport equation for stationary crossflow instabilities J Xu, X Han, L Qiao, J Bai, Y Zhang AIAA Journal 57 (7), 2682-2693, 2019 | 31 | 2019 |
Study of boundary layer transition on supercritical natural laminar flow wing at high Reynolds number through wind tunnel experiment J Xu, Z Fu, J Bai, Y Zhang, Z Duan, Y Zhang Aerospace Science and Technology 80, 221-231, 2018 | 29 | 2018 |
Transition study of 3D aerodynamic configures using improved transport equations modeling J Xu, J Bai, Y Zhang, L Qiao Chinese Journal of Aeronautics 29 (4), 874-881, 2016 | 27 | 2016 |
One-equation turbulence model based on extended Bradshaw assumption J Xu, Y Zhang, J Bai AIAA Journal 53 (6), 1433-1441, 2015 | 22 | 2015 |
Effects of the flapping frequency on the thrust performance for three-dimensional bionic multi-wings in a schooling Y Zhang, J Han, G Chen Physics of Fluids 31 (11), 2019 | 18 | 2019 |
Modeling of surface roughness effects on bypass and laminar separation bubble-induced transition for turbomachinery flows Y Zhang, J Xu, Y Li, L Qiao, J Bai Physics of Fluids 34 (4), 2022 | 17 | 2022 |
A spongy icing model for aircraft icing X Li, J Bai, J Hua, K Wang, Y Zhang Chinese Journal of Aeronautics 27 (1), 40-51, 2014 | 17 | 2014 |
Aerodynamic performance of a low-Reynolds UAV with leading-edge protuberances inspired by humpback whale flippers Y Zhang, X Zhang, LI Yi, M Chang, XU Jiakuan Chinese Journal of Aeronautics 34 (5), 415-424, 2021 | 16 | 2021 |
A method of unsteady periodic flow field prediction based on the deep learning H Xinyu, Y Zelong, B Junqiang, Z Yang, C Gang 空气动力学学报 37 (3), 462-469, 2019 | 15 | 2019 |
Application of a turbulence model based on von karmen length scale in steady and unsteady flow simulation J BAI, C Wang, Y Zhang Engineering Mechanics 31 (11), 39-45, 52, 2014 | 14 | 2014 |
Capturing transition with flow–structure–adaptive KDO RANS model J Xu, D Xu, Y Zhang, J Bai Aerospace Science and Technology 85, 150-157, 2019 | 12 | 2019 |
Construction and its application of a new one-equation turbulence model B Junqiang, Z Yang, X Jinglei Acta Aeronautica et Astronautica Sinica 35 (7), 1804-1814, 2014 | 10 | 2014 |