Mesh Generation for Flow Analysis by using Deep Reinforcement Learning
Author:
Affiliation:
1. Seoul National University
2. Korea Institute of Industrial Technology
3. Chung-Ang University
Publisher
American Institute of Aeronautics and Astronautics
Link
https://arc.aiaa.org/doi/pdf/10.2514/6.2024-0382
Reference23 articles.
1. Mesh size effect on CFD simulation of gas-fluidized Geldart A particles
2. Design Rule Extraction Using Multi-Fidelity Surrogate Model for Unmanned Combat Aerial Vehicles
3. Numerical Investigation of Wing–Multiple Propeller Aerodynamic Interaction Using Actuator Disk Method
4. Mesh quality effects on the accuracy of CFD solutions on unstructured meshes
5. The generation of arbitrary order curved meshes for 3D finite element analysis
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