个人简历

工作经历\r
2018.12-至今 航空学院副院长\r
2014.12-2018.12 航空学院流体力学系主任，翼型叶栅空气动力学国家级重点实验室副主任 \r
2012-2013，国家公派赴利物浦大学工学院访问（Honorary Senior Fellow） \r
2009-2012，西北工业大学航空学院院长助理 \r
2006-至今， 西北工业大学航空学院任教，讲师（2007）、副教授（2008破格）、博士生导师（2012破格）、教授（2013） \r
2003-2006，西北工业大学获流体力学博士学位 \r
2001-2004，西北工业大学获流体力学硕士学位 \r
1997-2001，西北工业大学获飞行器设计与工程专业学士学位\r
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教育经历\r
1997.09-2001.07，西北工业大学 飞行器设计专业，本科\r
2001.09-2004.03，西北工业大学 流体力学，硕士\r
2003.09-2006.11，西北工业大学 流体力学，博士

研究领域

""1. 气动弹性力学\r
2. 流体力学与神经网络/大数据/人工智能等新兴领域的交叉方向\r
3. 新概念飞行器空气动力学\r
4. 理论与计算流体力学 \r
5. 流动主动/被动控制""""

近期论文

Zhang W*, Lv Z, Di W. Flutter Prediction Method with Low Cost and Low Risk from Test Data. Aerospace Science and Technology, 2019, 86: 542-557.\r
Kou J, Zhang W*. A hybrid reduced-order framework for complex aeroelastic simulations[J]. Aerospace Science and Technology, 2019, 84: 880-894.\r
Zhu L, Zhang W*, Kou J, et al. Machine learning methods for turbulence modeling in subsonic flows around airfoils[J]. Physics of Fluids, 2019, 30(1): 015105.\r
Wu X, Zhang W*, Peng X. Benchmark aerodynamic shape optimization with the POD-based CST airfoil parametric method[J]. Aerospace Science and Technology, 2019, 84: 632-640.\r
Zhang W*, Xu Y, Su D. Flutter Analysis of Tandem Cascades Based on a Fluid-Structure Coupling Method[J]. Journal of Aerospace Engineering, 2019, 32(2): 04018147.\r
Kou J, Zhang W. Reduced-Order Modeling for Nonlinear Aeroelasticity with Varying Mach Numbers[J]. Journal of Aerospace Engineering, 2018, 31(6):04018105.\r
Zhang W, Gong Y, Liu Y. Abnormal changes of dynamic derivatives at low reduced frequencies[J]. Chinese Journal of Aeronautics, 2018, 31(7): 1428-1436.\r
Gao C , Zhang W , Ye Z . Reduction of transonic buffet onset for a wing with activated elasticity[J]. Aerospace Science and Technology, 2018, 77:670-676.\r
Yang J, Liu Y, Zhang W. Static Aeroelastic Modeling and Rapid Analysis of Wings in Transonic Flow[J]. International Journal of Aerospace Engineering, 2018, 2018(2):1-12.\r
Wu X, Zhang W, Song S, et al. Sparse grid-based polynomial chaos expansion for aerodynamics of an airfoil with uncertainties[J]. Chinese Journal of Aeronautics, 2018, 31(5): 997-1011.\r
Wu X, Zhang W, Song S. Robust aerodynamic shape design based on an adaptive stochastic optimization framework[J]. Structural and Multidisciplinary Optimization, 2018, 57(2): 639-651.\r
Li X, Zhang W, Gao C. Proximity-interference wake-induced vibration at subcritical Re: Mechanism analysis using a linear dynamic model[J]. Physics of Fluids, 2018, 30(3): 033606\r
Kou J, Le Clainche S, Zhang W. A reduced-order model for compressible flows with buffeting condition using higher order dynamic mode decomposition with a mode selection criterion[J]. Physics of Fluids, 2018, 30(1): 016103\r
Wang Z, Zhang W*, Wu X. A novel unsteady aerodynamic Reduced-Order Modeling method for transonic aeroelastic optimization. Journal of Fluids and Structures, 2018, 82: 308-328.\r
Wu X, Zhang W, Song S. Uncertainty Quantification and Sensitivity Analysis of Transonic Aerodynamics with Geometric Uncertainty[J]. International Journal of Aerospace Engineering, 2017: 1-16.\r
Liu Y, Zhang W, Li C. A Novel Multi-Dimensional Limiter for High-Order Finite Volume Methods on Unstructured Grids[J]. Communications in Computational Physics, 2017, 22(5): 1385-1412.\r
Liu Y, Zhang W. Accuracy preserving limiter for the high-order finite volume method on unstructured grids[J]. Computers & Fluids, 2017, 149: 88-99.\r
Li X, Liu Y, Kou J, et al. Reduced-order thrust modeling for an efficiently flapping airfoil using system identification method[J]. Journal of Fluids and Structures, 2017, 69: 137-153.\r
Kou J, Zhang W, Liu Y, et al. The lowest Reynolds number of vortex-induced vibrations[J]. Physics of Fluids, 2017, 29(4): 041701\r
Kou J, Zhang W. Layered reduced-order models for nonlinear aerodynamics and aeroelasticity[J]. Journal of Fluids and Structures, 2017, 68: 174-193.