Direct Doppler broadening in Monte Carlo simulations using the multipole representation
Name
Forget_Direct doppler.pdf
Size
628.8 KB
Format
Adobe PDF
Checksum (MD5)
6877de6fd480edc1f9b2102840b5c9ce
Author(s)
Forget, Benoit Robert Yves
Xu, Sheng
Smith, Kord S.
Date Issued
October 2013
Journal
Annals of Nuclear Energy
Publisher
Elsevier
Citation
Forget, Benoit, Sheng Xu, and Kord Smith. “Direct Doppler Broadening in Monte Carlo Simulations Using the Multipole Representation.” Annals of Nuclear Energy 64 (2014): 78–85.
Version
Original manuscript
Abstract
A new approach for direct Doppler broadening of nuclear data in Monte Carlo simulations is proposed based on the multipole representation. The multipole representation transforms resonance parameters into a set of poles and residues only some of which exhibit a resonant behavior. A method is introduced to approximate the contribution to the background cross section in an effort to reduce the number of poles needing to be broadened. The multipole representation results in memory savings of 1–2 orders of magnitude over comparable techniques. This approach provides a simple way of computing nuclear data at any temperature which is essential for multi-physics calculations, while having a minimal memory footprint which is essential for scalable high performance computing. The concept is demonstrated on two major isotopes of uranium (U-235 and U-238) and implemented in the OpenMC code. Two LEU critical experiments were solved and showed great accuracy with a small loss of efficiency (10–30%) over a single-temperature pointwise library.
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.anucene.2013.09.043
