This program presents a modular paradigm for topology optimization using OpenMDAO, an open-source computational framework for multidisciplinary design optimization.

• gcc version >= 4.7
• OpenMDAO ver. >= 2.2

Originally the program is developed based on OpenMDAO ver. 2.0, so you'll see some DeprecationWarning messages.

Following operations are assumed to take place in the default path. (M2DO_PATH)

1. Move to M2DO_FEA/Python, where Cython wrapper (pyBind.pyx) is located at

   (at M2DO_PATH)
   cd ./OpenLSTO-master/M2DO_FEA/Python/
   

2. Compile and copy *.so file to OpenMDAO-SIMP path

   sh makefile.sh 
   

   or

   python FEAsetup.py build
   cp build/lib*/*.so ./../../../Density*
   cp build/lib*/*.so ./../../../LevelSet*/ 
   

Following operations are assumed to take place in the default path. (M2DO_PATH)

1. Move to M2DO_LSM/Python, where Cython wrapper (py_lsmBind.pyx) is located at

   (at M2DO_PATH)
   cd ./OpenLSTO-master/M2DO_LSM/Python/
   

2. Compile and copy *.so file to OpenMDAO-SIMP path

   sh makefile.sh 
   

   or

   python LSMsetup.py build
   cp build/lib*/*.so ./../../../LevelSet* 
   

1. Run main python script

   (at M2DO_PATH)
   cd Density_OpenLSTO/
   python run_openmdao.py
   

2. (Optional) Changing a mesh density

   In run_openmdao.py, change

   nelx = 40 # number of elements in x-direction
   nely = 20 # number of elements in y-direction
   

3. Visualize the results

   python make_plots.py
   

1. Run main python script

   (at M2DO_PATH)
   cd LevelSet_OpenLSTO/
   python run_LSTO_openLSTO.py
   

2. (Optional) Changing a mesh density

   In run_LSTO_openLSTO.py, change

   nelx = 40 # number of elements in x-direction
   nely = 20 # number of elements in y-direction
   

3. Visualize the results

   python make_plots.py
   

1. OpenLSTO-lite

   Original FEA and LSM routines are derived from OpenLSTO, which is am open-source level-set topology optimization program developed and maintained by researchers of M2DO group led by Prof. Alicia Kim.

   Comprehensive documentation is found in the webpage

2. OpenMDAO

   The Present program is based on OpenMDAO, an open-source high-performance computing platform for systems analysis and multidisciplinary optimization, written in Python.

3. SLSM library

   Implementation details of the level-set method used herein can be found in SLSM library developed my Dr. Lester Hedges.