Field Inversion Machine Learning of Unsteady Flow Over a Ramp
Published: 6 March 2024| Version 1 | DOI: 10.17632/2hnxww96vb.1
Contributors:
, Description
This dataset contains the DAFoam configuration files for reproducing the unsteady field inversion machine learning optimization results. Note: we will continue to modify the configuration files on the DAFoam tutorial repository on Github.com: https://github.com/dafoam/tutorials DAFoam: Discrete Adjoint with OpenFOAM for High-fidelity Multidisciplinary Design Optimization. Available at https://dafoam.github.io
Files
Steps to reproduce
1. Download and compile DAFoam-v3.1.1 from https://dafoam.github.io 2. Load the DAFoam environment by sourcing the loadDAFoam.sh file 3. Download Ramp_Unsteady_FIML.zip and unzip. Then, go to the folder 4. Follow README.txt to run FIML training and predictions
Categories
Fluid Mechanics, Machine Learning, Computational Fluid Dynamics, Turbulence