4 ms·
NASA engineers have also released an optimization framework for the Hyperloop concept as well. It's completely open-source and written in Python. Docs here: htt
by jcchin41 13y ago
NASA engineers have also released an optimization framework for the Hyperloop concept as well. It's completely open-source and written in Python.
Docs here:
http://openmdao-plugins.github.io/Hyperloop/ http://openmdao-plugins.github.io/Hyperloop/
Their baseline optimization focuses on 5 subsystems: Compressor Cycle Analysis, Pod Geometry, Tube Flow Limitations, Tube Wall Temperature, and Mission Analysis
Initial results indicate that the concept is still very viable. However, due to very tight coupling between the tube and vehicle size, the tube size will need to be around twice as large as originally proposed by the Tesla/SpaceX team to reach the proposed speeds.
Feel free to download the entire analysis and play with it yourself, without purchasing several expensive toolboxes from MATLAB!
- justingray 13y agoAs one of the authors of this work, I would like to add that our goal was to provide an open source foundation for modeling the hyperloop system. Our initial work focused on the pod itself, but we want to expand it to include trajectory analysis as well as cost modeling.
- codereflection 13y agoThank you for making your work open source too.
- omegant 13y agoHi Justin, do you have an email to reach you or some body else at the team?
- justingray 13y agoyou can reach me at justin.s.gray@nasa.gov
- acadien 13y agoComparing redundant independent simulations is the next best thing to actual experiments regardless of your politics on the Matlab business. Thanks for the link, its new to me.