Review of robust aerodynamic design optimization for air vehicles H Zhao, Z Gao, F Xu, Y Zhang Archives of Computational Methods in Engineering 26 (3), 685-732, 2019 | 58 | 2019 |
Effective robust design of high lift NLF airfoil under multi-parameter uncertainty H Zhao, Z Gao, Y Gao, C Wang Aerospace Science and Technology 68, 530-542, 2017 | 52 | 2017 |
An efficient adaptive forward–backward selection method for sparse polynomial chaos expansion H Zhao, Z Gao, F Xu, Y Zhang, J Huang Computer Methods in Applied Mechanics and Engineering 355, 456-491, 2019 | 32 | 2019 |
Adaptive multi-fidelity sparse polynomial chaos-Kriging metamodeling for global approximation of aerodynamic data H Zhao, Z Gao, F Xu, L Xia Structural and Multidisciplinary Optimization 64, 829-858, 2021 | 24 | 2021 |
Uncertainty-based design optimization of NLF airfoil for high altitude long endurance unmanned air vehicles H Zhao, Z Gao Engineering Computations 36 (3), 971-996, 2019 | 17 | 2019 |
Robust design of high speed natural-laminar-flow airfoil for high lift H Zhao, Z Gao, C Wang, G Yuan 55th AIAA aerospace sciences meeting, 1414, 2017 | 16 | 2017 |
Efficient aerodynamic analysis and optimization under uncertainty using multi-fidelity polynomial chaos-Kriging surrogate model H Zhao, ZH Gao, L Xia Computers & Fluids 246, 105643, 2022 | 12 | 2022 |
Design optimization of natural-laminar-flow airfoil for complicated flight conditions H Zhao, Z Gao, Y Gao 35th AIAA Applied Aerodynamics Conference, 3060, 2017 | 9 | 2017 |
Efficient robust aerodynamic design optimization method for high-speed NLF airfoil Z Huan, G Zhenghong, X Lu Acta Aeronauticaet Astronautica Sinica 43 (1), 124894, 2022 | 7 | 2022 |
Research on efficient robust aerodynamic design optimization method of high-speed and high-lift NLF airfoil Z Huan, G Zhenghong, X Lu Acta Aeronautica et Astronautica Sinica 42 (7), 124894, 2021 | 7 | 2021 |
Research on novel multi-fidelity surrogate model assisted many-objective optimization method Z Huan, G Zhenghong, X Lu Acta Aeronautica et Astronautica Sinica 44 (2), 126962, 2023 | 6 | 2023 |
Research on novel high-dimensional surrogate model-based aerodynamic shape de-sign optimization method Z Huan, G Zhenghong, X Lu Acta Aeronautica et Astronautica Sinica 44 (1), 126924, 2023 | 5 | 2023 |
Adaptive multi-fidelity polynomial chaos-Kriging model-based efficient aerodynamic design optimization method Z Huan Chinese Journal of Theoretical and Applied Mechanics 55 (1), 223-238, 2023 | 4 | 2023 |
适用于高速层流翼型的计算网格研究 赵欢, 高正红, 王超, 高原 应用力学学报 35 (2), 351-357, 2018 | 3 | 2018 |
Uncertainty-based design optimization of NLF airfoil based on polynomial chaos expansion H Zhao, Z Gao Asia-Pacific International Symposium on Aerospace Technology, 1576-1592, 2018 | 2 | 2018 |
Robust design optimization of benchmark aerodynamic case based on polynomial chaos expansion H Zhao, Z Gao 31st Congress of the International Council of the Aeronautical Sciences …, 2018 | 2 | 2018 |
Adaptive forward-backward selection method for sparse polynomial chaos expansion H Zhao, Z Gao Asia Pacific International Symposium on Aerospace Technology (2019: Gold …, 2019 | 1 | 2019 |
ADAPTIVE SPARSE POLYNOMIAL CHAOS-BASED FLOW FIELD/SONIC BOOM UNCERTAINTY QUANTIFICATION UNDER MULTI-PARAMETER UNCERTAINTIES Z Huan, H Yujun, X Haonan Chinese Journal of Theoretical and Applied Mechanics 55 (9), 2027-2042, 2023 | | 2023 |
Multi-objective Aerodynamic Optimization Design with User Preference based on MOEA/D X Zhu, Z Gao, H Zhao 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 3471, 2017 | | 2017 |
EFFICIENT UNCERTAINTY QUANTIFICATION VIA ADAPTIVE MULTI-FIDELITY POLYNOMIAL CHAOS-KRIGING METAMODELLING TECHNOLOGY H Zhao, Z Gao, L Xia | | |