79 citations · 87 across the 5 of their papers we have counts for
6 papers · 1 filter
Deep Learning for Multi-Fidelity Aerodynamic Distribution Modeling from Experimental and Simulation Data
Kai Li, Jiaqing Kou, Weiwei Zhang
The wind-tunnel experiment plays a critical role in the design and development phases of modern aircraft, which is limited by prohibitive cost. In contrast, numerical simulation, a…
Experimental study on Vortex-Induced Vibration of Cylinder at Subcritical Reynolds Number
Zhen Lyu, Weiwei Zhang, Jiaqing Kou
Numerical simulation results in recent years show that vortex-induced vibration (VIV) can occur at a subcritical Reynolds number. And the VIV has been observed numerically at Reyno…
A new data assimilation method of recovering turbulent flow field at high-Reynolds numbers for turbulence machine learning
Yilang Liu, Weiwei Zhang
This paper proposes a new data assimilation method for recovering high fidelity turbulent flow field around airfoil at high Reynolds numbers based on experimental data, which is ca…
Transonic aeroelasticity: a new perspective from the fluid mode
Chuanqiang Gao, Weiwei Zhang
Within the transonic regime, the aeroelastic problems exhibit many unique characteristics compared with subsonic and supersonic cases. Although a lot of research has been carried o…
Machine learning methods for turbulence modeling in subsonic flows over airfoils
Weiwei Zhang, Linyang Zhu, Yilang Liu +1
Reynolds-Averaged Navier-Stokes(RANS) method will still play a vital role in the following several decade in aerospace engineering. Although RANS models are widely used, empiricism…
A novel unsteady aerodynamic Reduced-Order Modeling method for transonic aeroelastic optimization
Ziyi Wang, Weiwei Zhang, Xiaojing Wu +1
In aircraft design, structural optimization and uncertainty quantification concerning transonic aeroelastic issues are computationally impractical, because the iterative process re…