Establishment and validation of a relationship model between nozzle experiments and CFD results based on convolutional neural network

Author:

Yu TaoORCID,Wu XiaoxiongORCID,Yu YangORCID,Li Ruizhe,Zhang Hao

Publisher

Elsevier BV

Subject

Aerospace Engineering

Reference40 articles.

1. Calibration of the k-? shear stress transport turbulence model for shock wave boundary layer interaction in a SERN using machine learning;Mirjalily;Eng. Anal. Bound. Elem.,2023

2. Validation for aerodynamic performance on over-expanded state of single expansion ramp nozzle configuration;Chen;AEROSPACE,2022

3. Numerical analysis of shock wave train in single-expansion ramp nozzle under harmonic inlet and outlet conditions;Hemmati;Chem. Eng. Commun.,2021

4. Modelling a hypersonic single expansion ramp nozzle of a hypersonic aircraft through parametric studies;Ridgway;Energies,2018

5. Structural excitation of SERNs during supersonic operation: a source of screech amplitude modulation;Malla;J. Fluids Struct.,2021

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