Prediction for Lateral Jet Interaction with Supersonic Freestream Using Machine Learning
The lateral jet interaction with supersonic freestream is an important phenomenon involved during the operation of the reactive control system for hypersonic vehicles.To predict the distribution of the interferential pressure on the wall for the lateral jet interaction,this paper utilized machine learning approaches as follows.First,data sampling according to the pressure distribution;Second,dimension reduction realized by proper orthogonal decomposition;Third,correlation between operating conditions and the pressure distribution using neural network.The results of the prediction by machine learning are almost the same with the numerical results,which indicates that the approaches adopted are applicable to the lateral jet interaction with supersonic freestream.
NETL
NSTL
万方数据
维普
