Amy1979118/tobs

Fluid Topology Optimization using TOBS method with the more open source tools possible.

Fluid Topology Optimization using TOBS approach

This repository uses the more open source libraries possible to optimize fluid flow using the TOBS method.

Author of this repository:

Bruno Caldas de Souza (University of Sao Paulo) , bruno.caldas@usp.br;

Contributions in this repository:

Paulo Yamabe (University of Sao Paulo)

Luis F. N. Sá (University of Sao Paulo)

Author of the TOBS method:

Raghavendra Sivapuram (University of California), rsivapur@eng.ucsd.edu;

Renato Picelli (University of São Paulo), rpicelli@usp.br;

Requirements (conda is recommended):

1. Python 3.5;
2. Fenics 2018.1.0;
3. Dolfin Adjoint 2018.1.0;
4. Octave to read the .m files;
5. CPlex* for Integer optimization.

*Unfortunately this one is proprietary to IBM, however there is an free student version available.

How to use:

First, try to install the conda environment by:

conda env create -f environment.yml -n fluid_tobs

Then install Fenics 2018.1.0 and Dolfin-Adjoint 2018.1.0 from source:

git clone --branch 2018.1.0 git@bitbucket.org:fenics-project/dolfin.git

git clone --branch 2018.1.0 git@bitbucket.org:dolfin-adjoint/pyadjoint.git

Then, activate the environment:

conda activate fluid_tobs

In order to run the basic simulation type in your conda environment:

python stokes_tobs.py

The results:

The results can be seen in the output folder that is created and should look like this:

Publications:

[1] R. Sivapuram, R. Picelli, Topology optimization of binary structures using Integer Linear Programming, Finite Elements in Analysis and Design 139 (2018) 49–61

[2] R. Sivapuram, R. Picelli, Y.M. Xie, Topology optimization of binary microstructures involving various non-volume constraints, Computational Materials Science (2018) 154, 405-425