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  • 张扬

  • 教授

电子邮箱：

学历： 博士研究生毕业

学位： 博士

毕业院校： 西北工业大学

所属院系： 航天航空学院

科学研究

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论文成果

学术论文（英文）

  1. Li J.L., Zhang Y.*, Pang B., Bai J.Q., Xu J.K.(2025), A point cloud reconstruction method based on uncertainty feature enhancement for aerodynamic shape optimization, Chinese Journal of Aeronautics, In press.
  2. Zheng Y. Li J.L., Pang B., Bai J.Q., Zhang Y.*(2025), An adaptive Hicks-Henne parameterization method for aerodynamic shape optimization, Aircraft Engineering and Aerospace Technology, In press.
  3. Pang B, Zhang Y.*, Li J.L., Wang X.D., Liu Y.S., Xu J.K.(2025), The Data-Driven Deep Active Subspace Method for Aerodynamic Prediction and Analysis, Aerospace Science and Technology, 110406.
  4. Geng Y.S., Pang B., Liu Y.S., Gao Z.N., Li J.L., Bai J.Q., Zhang Y.*(2025), Aerodynamic performance analysis of different damaged types of a turboprop wing, Journal of Mechanics, Volume 41, 192–202
  5. Xu X.G., Zhang Y., Li X.K., Zhang Y*, Wang T.B.(2025),Experimental study on ice accretion of wavy airfoil leading edges in icing wind tunnel. Physics of Fluids, 37, 053318.
  6. Zhang Y., Zhang Y*, Chen S. et al.(2025). An Improved Approach for Aerodynamic Optimization Considering WIG Effect and Height Static Stability. Aerospace Science and Technology, 160: 110071.
  7. Wang H.Z., Zhang Y*, Sun Z.W. et al.(2025). Modeling and simulation of soft aerial refueling multi-body system based on ALE-ANCF method. Chinese Journal of Aeronautics, 103646.
  8. Xu X.G., Zhang Y*, Zhang Y. et al. (2025). Uncertainty qualification of aerodynamic performance of a swept wing with ice accretion. Chinese Journal of Aeronautics, 103332.
  9. Chen, Z., Li, X., Ma, M., Zhang, Y., & Meng, X. (2024). Numerical investigation of wingtip aerodynamic interference of two flapping wings on opposite sides. Physics of Fluids, 36(9).
  10. Chen, Z., Xie, Y., Zhang, Y., Li, L., & Meng, X. (2024). Aerodynamics of a flapping wing with stroke deviation in forward flight. Physics of Fluids, 36(5).
  11. Ma X.D., Zhang Y*, Xu X.G., et al. (2024). Wing ice accretion prediction based on conditional generation adversarial network. Physics of Fluids, 36(9)
  12. Li J.L., Zhang Y*, Pang B., et al.(2024). The aerodynamic optimization of hypersonic vehicles with the proper-orthogonal-decomposition-based CST method. Aerospace Science and Technology, 109295.
  13. Pang B., Zhang Y*, Li J.L., et al.(2024). Data-driven surrogate model for aerodynamic design using separable shape tensor method, Chinese Journal of Aeronautics , 37(9):41-58.(封面文章)
  14. Zhang, Y., Xu, J., Li, Y., Qiao, L., & Bai, J. (2022). Modeling of surface roughness effects on bypass and laminar separation bubble-induced transition for turbomachinery flows. Physics of Fluids, 34(4), 044108.
  15. Zhang, Y., Fu, Y., Wang, P., & Chang, M. (2022). Aerodynamic Configuration Optimization of a Propeller Using Reynolds-Averaged Navier–Stokes and Adjoint Method. Energies, 15(22), 8588.
  16. Zhang, Y., Pang, B., Li, X., & Chen, G. (2022). Aerodynamic Shape Optimization with Grassmannian Shape Parameterization Method. Energies, 15(20), 7722.
  17. Xu, X., Wang, T., Fu, Y., Zhang, Y*., & Chen, G. (2022). Numerical Research of an Ice Accretion Delay Method by the Bio-Inspired Leading Edge. Aerospace, 9(12), 774.
  18. Li, Y., Xu, J., Zhang, Y., & Bai, J. (2022). Surface roughness effects on unsteady transition property over a pitching airfoil. Journal of Aerospace Engineering, 35(3), 04022010.
  19. Li, Y., Xu, J., Qiao, L., Zhang, Y., & Bai, J. (2022). A Galilean Invariant Variable–Based RANS Closure Model for Bypass and Laminar Separation Bubble–Induced Transition. Journal of Aerospace Engineering, 35(3), 04022027.
  20. Qiao, L., Li, Y., Zhang, Y., Xu, J., & Bai, J. (2022). A hybrid prediction model for transitional separated flows over rough walls. Physics of Fluids, 34(9), 094103.
  21. Zhang, Y., Zhang, X., Yi, L. I., Chang, M., & Jiakuan, X. U. (2021). Aerodynamic performance of a low-Reynolds UAV with leading-edge protuberances inspired by humpback whale flippers. Chinese Journal of Aeronautics, 34(5), 415-424.
  22. Li, Y., Xu, J., Qiao, L., Zhang, Y., & Bai, J. (2021). A novel local-variable-based Reynolds-averaged Navier–Stokes closure model for bypass and laminar separation induced transition. Physics of Fluids, 33(10), 104103.
  23. Qiao, L., Xu, J., Bai, J., & Zhang, Y. (2021). Fully local transition closure model for hypersonic boundary layers considering crossflow effects. AIAA Journal, 59(5), 1692-1706.
  24. Zhang, Y., Zhang, X., & Chen, G. (2020). The aerodynamic optimisation of a low-Reynolds paper plane with adjoint method[J]. The Aeronautical Journal, 2020,78
  25. Zhang Y, Chen G, Xu J. An Eddy-Viscosity Model Sensitized to Curvature and Wall-Roughness Effects for Reynolds-Averaged Closure. Journal of Fluids Engineering, 2020, 142(4). 
  26. Zhang Y, Rahman M M, Chen G. Development of k-R turbulence model for wall-bounded flows. Aerospace Science and Technology, 2020: 105681.
  27. Zhang Y, Han J, Chen G. Effects of the flapping frequency on the thrust performance for three-dimensional bionic multi-wings in a schooling[J]. Physics of Fluids, 2019, 31(11): 117110.
  28. Zhang Y, Bai J Q, Xu J L. A Scale-Adaptive Turbulence Model Based on the k-Equation and Recalibrated Reynolds Stress Constitutive Relation[J]. Journal of Fluids Engineering, 2016, 138(6): 061203.
  29. Zhang Y, Bai J Q, Xu J L, et al. An Improved Low-Reynolds-Number k–ϵ Model for Aerodynamic Flows[J]. International Journal of Nonlinear Sciences and Numerical Simulation, 2016, 17(2): 99-112.
  30. Zhang Y, Bai J Q, Xu J L, et al. A one-equation turbulence model for recirculating flows[J]. Science China Physics, Mechanics & Astronomy, 2016, 59(6): 664701.
  31. Meng X, Zhang Y, Chen G. Ceiling effects on the aerodynamics of a flapping wing with advance ratio[J]. Physics of Fluids, 2020, 32(2): 021904.
  32. Hui Z, Zhang Y, Chen G. Tip-vortex flow characteristics investigation of a novel bird-like morphing discrete wing structure[J]. Physics of Fluids, 2020, 32(3): 035112.
  33. Hui Z, Zhang Y, Chen G. Aerodynamic performance investigation on a morphing unmanned aerial vehicle with bio-inspired discrete wing structures[J]. Aerospace Science and Technology, 2019, 95: 105419.
  34. Li Y, Zhang Y, Bai J. Numerical Simulation of the Aerodynamic Influence of Aircrafts During Aerial Refueling with Engine Jet[J]. International Journal of Aeronautical and Space Sciences, 2019: 1-10.
  35. Han J, Zhang Y, Chen G. Effects of individual horizontal distance on the three-dimensional bionic flapping multi-wings in different schooling configurations[J]. Physics of Fluids, 2019, 31(4): 041903.
  36. Xu J, Zhang Y, Bai J. One-equation turbulence model based on extended Bradshaw assumption[J]. AIAA Journal, 2015, 53(6): 1433-1441.
  37. Han R, Wang Y, Zhang Y, et al. A novel spatial-temporal prediction method for unsteady wake flows based on hybrid deep neural network[J]. Physics of Fluids, 2019, 31(12): 127101.
  38. Xu J, Xu D, Zhang Y, et al. Capturing transition with flow–structure–adaptive KDO RANS model[J]. Aerospace Science and Technology, 2019, 85: 150-157. 
  39. Chen W, Hesthaven J S, Junqiang B, et al. Greedy Nonintrusive Reduced Order Model for Fluid Dynamics[J]. AIAA Journal, 2018, 56(12): 4927-4943.
  40. Xu J L, Song Y F, Zhang Y, et al. A turbulence characteristic length scale for compressible flows[J]. Journal of Turbulence, 2016, 17(9): 900-911.
  41. Xu J, Bai J, Zhang Y, et al. Transition study of 3D aerodynamic configures using improved transport equations modeling[J]. Chinese Journal of Aeronautics, 2016, 29(4):874-881.

学术论文（中文）：

  1. 王天波,付一帆,付小龙,周国成，张扬*.基于大涡模拟的螺旋桨噪声性能分析[J/OL].海军航空大学学报:1-10[2024-06-08].
  2. 徐晓刚,张扬*,王天波,等.多尺寸水滴喷雾掺混增强效应[J/OL].航空学报,1-11[2024-04-05].
  3. 徐晓刚,张扬*,昌敏,陈刚.考虑阶跃型地面的翼型前飞气动特性影响研究[J/OL].上海交通大学学报，2023，1-10.
  4. 付小龙,张扬*,付一帆,等.基于齐默曼布局的微小型无人机气动布局设计研究[J].无人系统技术,2023,6(03):81-90.
  5. 杨光宇,张扬*,胡澜翔,付一帆.斜置槽道在翼型失速控制中的应用[J/OL].北京航空航天大学学报，2023，1-30
  6. 王玉轩, 徐家宽, 张扬, 等. 横流驻波增长因子模式在跨声速边界层的应用[J]. 空气动力学学报, 2022, 40(6): 108−116
  7. 张扬, 白俊强, 朱军,等. 改进Hicks-Henne型函数法在翼型参数化中的应用[J]. 飞行力学, 2011, 29(5):35-38.
  8. 张扬,徐晶磊,白俊强,华俊.一种基于湍动能方程的转捩判定方法[J].力学学报,2014,46(01):160-164.
  9. 张扬, 白俊强, 华俊,等. 连续尺度变换方程在稳态及非稳态流动模拟中的应用[J]. 空气动力学学报, 2014, 32(5):694-699.
  10. 白俊强, 张扬, 华俊. 一种滤波SST方法在翼型深失速模拟中的应用[J]. 航空学报, 2013, 34(5):979-987.
  11. 白俊强, 张扬, 徐晶磊,等. 新型单方程湍流模型构造及其应用[J]. 航空学报, 2014, 35(7):1804-1814.
  12. 王伟,张扬,陈利丽.带有剪切应力输运性质的k-ε两方程湍流模型构造与应用[J].空气动力学学报,2019,37(03):419-425.
  13. 宋友富, 徐晶磊, 张扬,等. 压缩拐角激波/边界层干扰的可压缩湍流模型研究[J]. 推进技术, 2017, 38(2):281-288.
  14. 王伟, 白俊强, 张扬,等. 基于人工鱼群算法及Hicks-Henne型函数的翼型优化设计研究[J]. 科学技术与工程, 2011, 11(24):5870-5874.
  15. 白俊强, 王晨, 张扬. 一种基于冯卡门尺度的湍流模式在模拟稳态和非稳态流动问题中的应用[J]. 工程力学, 2014, 31(11):39-45.
  16. 徐晶磊, 宋友富, 张扬,等. 用于可压缩自由剪切流动的湍流混合长度[J]. 航空学报, 2016, 37(6):1841-1850.
  17. 惠心雨,袁泽龙,白俊强,张扬,陈刚.基于深度学习的非定常周期性流动预测方法[J].空气动力学学报,2019,37(03):462-469.
  18. 乔磊,白俊强,邱亚松,华俊,张扬.一种跨声速定常流场求解加速方法[J].北京航空航天大学学报,2018,44(03):470-479.

会议论文

  1. Wang, Y., Xu, J., Qiao, L., Zhang, Y., & Bai, J. (2022). Improved Amplification Factor Transport Transition Model for Transonic Boundary Layers. In AIAA AVIATION 2022 Forum (p. 4030).
  2. 张旭，张扬等，基于纸飞机理念的无人机气动布局数值仿真与分析研究，第十八届全国计算流体力学大会，西安，2019；
  3. Li Y, Bai J, Zhang Y. The improvement and application of Very Large Eddy Simulation Approach[C]//2018 Fluid Dynamics Conference. 2018: 3409.
  4. Zhang Y, Bai J, Wang C. Delayed-VLES Model for the Simulation of Turbulent Flows[C]//International Conference on Parallel Computing in Fluid Dynamics. Springer, Berlin, Heidelberg, 2013: 344-353.
  5. 徐晶磊, 张扬, 白俊强,等. 一个方程驱动转捩的湍动能单方程模型[C]// 中国力学大会. 2013.
  6. Xu J, Bai J, Lei Q, et al. A Linear Stability Theory-Based Transition Model Using Local Variables for RANS Simulations of Transitional Flow[C]// Aiaa Fluid Dynamics Conference. 2015.

发明专利：

  1. 一种基于离散伴随方法的飞行器外形自动化优化方法，张扬，刘欢，李宪开等
  2. 一种飞行器的参数设计方法、系统、介质和设备发明专利证书,张扬，李俊林，王伟等
  3. 一种无人机回收双向流固耦合的数值模拟方法,徐晓刚，张扬，昌敏，任武
  4. 一种翼型冰型特性快速评估数值模拟方法，徐晓刚;王天波;徐晓婷，张扬
  5. 一种仿生波浪前缘翼梢小翼装置，张扬，王鹏，陈刚，汪辉；
  6. 一种子母式无人机系统及其工作方法, 张扬，刘子扬，昌敏，杨光宇
  7. 一种基于混合深度神经网络的非定常流场预测方法 ，陈刚，韩仁坤，王怡星，张扬；
  8. 一种羽翼变形仿生无人飞行器及变形控制方法 ，陈刚，武彤辉，张扬，徐明龙​​​​​​​

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