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Advances in space radiation shielding codes
John W Wilson1, Ram K Tripathi, Garry D Qualls
1NASA Langley Research Center, Hampton, VA 23681, USA. john.w.wilson@larc.nasa.gov
Journal of Radiation Research
|June 10, 2003
Summary
Early space radiation shielding relied on slow Monte Carlo methods. New deterministic Boltzmann equation solutions enable rapid analysis, integrating radiation constraints early in spacecraft design for better performance and lower costs.
Area of Science:
- Space science and engineering
- Computational physics
- Radiation protection
Background:
- Early space radiation shielding utilized Monte Carlo methods, contributing to space programs but facing limitations.
- These methods were often restricted to 1D problems, leading to inaccurate boundary condition representation and high computational costs.
- Shielding evaluations occurred late in the design process, negatively impacting spacecraft design and increasing costs.
Purpose of the Study:
- To investigate high-speed computational procedures for spacecraft radiation shield analysis.
- To enable early integration of radiation constraints into the design process for improved performance and cost-effectiveness.
- To address the limitations of Monte Carlo methods in complex spacecraft geometry.
Main Methods:
- Pursuit of deterministic solutions to the Boltzmann equation over several decades.
- Application of the Finite Element Method (FEM) for standard engineering geometry.
- Development of rapid computational procedures enabling field mapping within the International Space Station (ISS).
Main Results:
- Deterministic Boltzmann equation solutions allow ISS field mapping in minutes.
- A single ray trace in FEM geometry takes only 14 milliseconds.
- The computational efficiency demonstrated limits the direct application of Monte Carlo methods to these engineering models.
Conclusions:
- Improved spacecraft shield design necessitates early consideration of radiation constraints.
- High-speed deterministic methods offer a viable alternative to traditional Monte Carlo simulations for radiation analysis.
- Further research can explore coupling Monte Carlo methods with efficient geometry coupling for enhanced efficiency.