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Numerical Uncertainty Quantification for Radiation Analysis Tools

Author
Clowdsley, Martha
Published
July 09, 2007.
Physical Description
1 electronic document
Additional Creators
Anderson, Brooke and Blattnig, Steve
Online Version

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Summary
Recently a new emphasis has been placed on engineering applications of space radiation analyses and thus a systematic effort of Verification, Validation and Uncertainty Quantification (VV&UQ) of the tools commonly used for radiation analysis for vehicle design and mission planning has begun. There are two sources of uncertainty in geometric discretization addressed in this paper that need to be quantified in order to understand the total uncertainty in estimating space radiation exposures. One source of uncertainty is in ray tracing, as the number of rays increase the associated uncertainty decreases, but the computational expense increases. Thus, a cost benefit analysis optimizing computational time versus uncertainty is needed and is addressed in this paper. The second source of uncertainty results from the interpolation over the dose vs. depth curves that is needed to determine the radiation exposure. The question, then, is what is the number of thicknesses that is needed to get an accurate result. So convergence testing is performed to quantify the uncertainty associated with interpolating over different shield thickness spatial grids.
Other Subject(s)
Collection
NASA Technical Reports Server (NTRS) Collection.
Note
Document ID: 20070032741.
SAE Paper 07ICES-92.
37th International Conference on Environmental Systems (ICES); 9-12 Jul. 2007; Chicago, IL; United States.
Terms of Use and Reproduction
No Copyright.
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