Cambridge Rocketry Simulator V3.1
Cambridge Rocketry Simulator V3.1
The Cambridge Rocketry Simulator can be used to simulate the flight of unguided rockets for both design and operational applications. The software consists of three parts; the first part is a GUI that enables the user to design a rocket. The second part is a verified and peer-reviewed physics model that simulates the rocket flight. This includes a Monte Carlo wrapper to model the uncertainty in the rocket's dynamics and the atmospheric conditions. The third part generates visualizations of the resulting trajectories, including nominal performance and uncertainty analysis, e.g. a splash-down region with confidence bounds. The project is available on SourceForge, and is written in Java (GUI), c++ (simulation core) and Python (visualization). While all parts can be executed from the GUI, the three components share information via XML, accommodating modifications, and re-use of individual components.
simulator, java, python, c++, stochastic
Box, Simon
2bc3f3c9-514a-41b8-bd55-a8b34fd11113
Eerland, Willem
7f5826c3-536f-4fdc-955e-0f9870c96a0e
Box, Simon
2bc3f3c9-514a-41b8-bd55-a8b34fd11113
Eerland, Willem
7f5826c3-536f-4fdc-955e-0f9870c96a0e
Abstract
The Cambridge Rocketry Simulator can be used to simulate the flight of unguided rockets for both design and operational applications. The software consists of three parts; the first part is a GUI that enables the user to design a rocket. The second part is a verified and peer-reviewed physics model that simulates the rocket flight. This includes a Monte Carlo wrapper to model the uncertainty in the rocket's dynamics and the atmospheric conditions. The third part generates visualizations of the resulting trajectories, including nominal performance and uncertainty analysis, e.g. a splash-down region with confidence bounds. The project is available on SourceForge, and is written in Java (GUI), c++ (simulation core) and Python (visualization). While all parts can be executed from the GUI, the three components share information via XML, accommodating modifications, and re-use of individual components.
This record has no associated files available for download.
More information
Published date: 2016
Keywords:
simulator, java, python, c++, stochastic
Identifiers
Local EPrints ID: 457910
URI: http://eprints.soton.ac.uk/id/eprint/457910
PURE UUID: de91beb8-a129-4399-980d-cf462a3a9722
Catalogue record
Date deposited: 21 Jun 2022 18:21
Last modified: 05 May 2023 15:22
Export record
Altmetrics
Contributors
Creator:
Simon Box
Creator:
Willem Eerland
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics