SUAVE: An Aerospace Vehicle Environment for Designing Future Aircraft

SUAVE is a multi-fidelity conceptual design environment. Its purpose is to credibly produce conceptual-level design conclusions for future aircraft incorporating advanced technologies.

License: CC BY-NC-SA 4.0

Guides and Forum available at suavecode.github.io.

Contributing Developers

• Andrew Wendorff
• Anil Variyar
• Carlos Ilario
• Emilio Botero
• Jia Xu
• Juan Alonso
• Michael Colonno
• Michael Vegh
• Tarik Orra
• Tim MacDonald
• Tim Momose
• Tom Economon
• Trent Lukaczyk

Contributing Institutions

• Stanford University Aerospace Design Lab (adl.stanford.edu)
• Embraer (www.embraer.com)
• Intelligent Automation Inc. (www.i-a-i.com)
• Rand Corporation (www.rand.org)

Simple Setup

git clone https://github.com/suavecode/SUAVE.git
cd SUAVE/trunk
python setup.py install

More information available at download.

Requirements

numpy, scipy, matplotlib, pip

Developer Install

See develop.

Frequently Asked Questions

See FAQ.

Happy NEW Year!!!