No description, website, or topics provided.
Fortran Python
Switch branches/tags
Nothing to show
Clone or download
hwangjt Merge pull request #14 from neysecco/master
Projection algorithm update
Latest commit 4e64106 Jul 15, 2015
Permalink
Failed to load latest commit information.
GeoMACH Updated projection algorithm. Added debug flag to print projected poi… Jul 14, 2015
docs
examples
src
.gitignore
MANIFEST.in
README.txt
setup.cfg
setup.py

README.txt

GeoMACH
-------
GeoMACH (Geometry-centric MDAO of Aircraft Configurations with High fidelity) is an aircraft design tool suite featuring parametric modelers for the geometry and structure of the aircraft that are efficient and supply derivatives with respect to all parameters, enabling optimization with large numbers of design variables.

Installing and getting started (linux or Mac)
---------------------------------------------
[GeoMACH-top] = path to the top-level GeoMACH directory

1. Install numpy, scipy, sphinx, and numpydoc

2. Install GeoMACH:
   $ cd [GeoMACH-top]
   $ sudo python setup.py develop

3. Compile the documentation:
   $ cd [GeoMACH-top]/docs
   $ make html

4. Read the documentation:
   (option 1, if firefox is installed)
   $ cd [GeoMACH-top]/docs/_build/html
   $ firefox index.html

   (option 2)
   Open a browser and enter the URL:
   [GeoMACH-top]/docs/_build/html/index.html

5. Run the example:
   $ cd [GeoMACH-top]/examples
   $ python conventional.py

Installing on a local directory (linux or Mac, for clusters)
---------------------------------------------
[GeoMACH-top] = path to the top-level GeoMACH directory

1. Install (or load) numpy, scipy

2. Install GeoMACH:
   $ cd [GeoMACH-top]
   $ python setup.py build --fcompiler=intelem (you may use another compiler)
   $ python setup.py install --user

3. You have to manually copy all airfoils to the installation folder
   $ cp -r GeoMACH/PGM/airfoils ~/.local/lib/python2.7/site-packages/GeoMACH-0.1-py2.7-linux-x86_64.egg/GeoMACH/PGM/

4. Run the example:
   $ cd examples
   $ python conventional.py