ROMpisoFoam

Citation:

If this code is relevant for your research, please consider citing:

@article{li2023accelerating,
  title={Accelerating unsteady aerodynamic simulations using predictive reduced-order modeling},
  author={Li, Zilong and He, Ping},
  journal={Aerospace Science and Technology},
  volume={139},
  pages={108412},
  year={2023},
  publisher={Elsevier}
}

Installation:

• Compile OpenFOAM-v1812.
• Download Slepc https://slepc.upv.es/download/distrib/slepc-3.14.2.tar.gz
• Put this to the loadDAFoam.sh and source

export SLEPC_DIR=$DAFOAM_ROOT_PATH/packages/slepc-3.14.2
export SLEPC_ARCH=$PETSC_ARCH
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$SLEPC_DIR/$SLEPC_ARCH/lib
export SLEPC_LIB=$SLEPC_DIR/$SLEPC_ARCH/lib

• Run ./configure and then run make to compile.
• Download TensorFlow-2.11 C API from wget https://github.com/DAFoam/files/releases/download/TensorFlow/libtensorflow-cpu-linux-x86_64-2.11.0.tar.gz
• Make a new directory to your $HOME/packages folder called tensorflow-2.11
• Add these line to your loadDAFoam.sh

# Tensorflow
export LIBRARY_PATH=$LIBRARY_PATH:$DAFOAM_ROOT_PATH/packages/tensorflow-2.11/lib
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$DAFOAM_ROOT_PATH/packages/tensorflow-2.11/lib
export TENSOR_FLOW_INCLUDE_PATH=$DAFOAM_ROOT_PATH/packages/tensorflow-2.11/include

• Load your Python environment and install tensorflow python package: pip install tensorflow-cpu==2.11 numpy==1.24 scipy==1.10 pandas==1.5.3 seaborn
• Load the OpenFOAM environment and go to pisoROMFoam and run ./Allmake

Tutorial:

• Go to a case and run ./Allrun