79 citations · 87 across the 5 of their papers we have counts for
8 papers
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…
Comparisons of Two Reduced-Order Models for Linearized Unsteady Aerodynamic Identification
Jiaqing Kou, Weiwei Zhang
This paper compares the performance of two unsteady aerodynamic reduced-order models (ROMs), namely linear Volterra series and the autoregressive with exogenous input (ARX) model,…
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…