The Random Ray Method for neutral particle transport
Name
Forget_The ramdom ray.pdf
Description
Accepted version
Size
1.32 MB
Format
Adobe PDF
Checksum (MD5)
aa638108c2f1e1f727e2f26d752b20c4
Author(s)
Tramm, John R
Smith, Kord S
Forget, Benoit
Siegel, Andrew R
Date Issued
2017
Journal
Journal of Computational Physics
Publisher
Elsevier BV
Version
Author's final manuscript
Abstract
© 2017 Elsevier Inc. A new approach to solving partial differential equations (PDEs) based on the method of characteristics (MOC) is presented. The Random Ray Method (TRRM) uses a stochastic rather than deterministic discretization of characteristic tracks to integrate the phase space of a problem. TRRM is potentially applicable in a number of transport simulation fields where long characteristic methods are used, such as neutron transport and gamma ray transport in reactor physics as well as radiative transfer in astrophysics. In this study, TRRM is developed and then tested on a series of exemplar reactor physics benchmark problems. The results show extreme improvements in memory efficiency compared to deterministic MOC methods, while also reducing algorithmic complexity, allowing for a sparser computational grid to be used while maintaining accuracy.
MIT Department
Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/J.JCP.2017.04.038
