|
|
|
|
|
Zhiyuan Hu, Peng Yu, Guohua Xu, Yongjie Shi, Feng Gu and Aijun Zou
Tiltrotors permit aircrafts to operate vertically with lift, yet convert to ordinary forward flight with thrust. The challenge is to design a tiltrotor blade yielding maximum lift and thrust that converts smoothly without losing integrity or efficiency. ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yucheng Yang, Guohua Xu, Yongjie Shi and Zhiyuan Hu
This study develops a hybrid solver with reversed overset assembly technology (ROAT), a viscous vortex particle method (VVPM), and a CFD program based on the URNS method, in order to study the aerodynamic and acoustic characteristics of coaxial rigid rot...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xuan Di, Rongye Shi, Zhaobin Mo and Yongjie Fu
For its robust predictive power (compared to pure physics-based models) and sample-efficient training (compared to pure deep learning models), physics-informed deep learning (PIDL), a paradigm hybridizing physics-based models and deep neural networks (DN...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yongjie Ma, Peng Ping and Quan Shi
Path planning is one of the key technologies for unmanned driving. However, global paths are unable to avoid unknown obstacles, while local paths tend to fall into local optimality. To solve the problem of unsmooth and inefficient paths on multi-angle ro...
ver más
|
|
|
|
|
|
|
|
|
|
|
Peng Yu, Zhiyuan Hu, Guohua Xu and Yongjie Shi
Due to the small tilt angle, a tiltrotor operates in non-axial flow conditions during shipboard take-off and landing. The non-uniformity of the blade?s air-load is high, resulting in structural deformation with high fluctuation frequency, affecting the r...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yan Sun, Yongjie Shi and Guohua Xu
The accurate prediction of helicopter rotor blade?vortex interaction (BVI) noise is challenging. This paper presents an implementation of the seventh-order improved weighted essentially non-oscillatory (WENO-Z) scheme for predicting rotor BVI noise using...
ver más
|
|
|
|
|
|