Fast estimation of internal flowfields in scramjet intakes via reduced-order modeling and machine learning
Author:
Affiliation:
1. Graduate School of Engineering, Department of Aeronautics and Astronautics, Kyushu University, Fukuoka 819-0395, Japan
2. School of Engineering, Department of Mechanical and Aerospace Engineering, University of California, Los Angeles 90095, USA
Funder
Japan Society for the Promotion of Science
Publisher
AIP Publishing
Subject
Condensed Matter Physics,Fluid Flow and Transfer Processes,Mechanics of Materials,Computational Mechanics,Mechanical Engineering
Link
https://aip.scitation.org/doi/pdf/10.1063/5.0064724
Reference51 articles.
1. Machine Learning for Fluid Mechanics
2. Direct shape optimization through deep reinforcement learning
3. Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control
4. Reduced-Order Nonlinear Unsteady Aerodynamic Modeling Using a Surrogate-Based Recurrence Framework
5. Reynolds averaged turbulence modelling using deep neural networks with embedded invariance
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