On Pseudo-Cross Sections for Neutron Escape from a Domain by a Physical Monte Carlo Simulation

D. G. Benvenutti (), L. F. F. C. Barcellos () and B. E. J. Bodmann ()
Additional contact information
D. G. Benvenutti: Universidade Federal do Rio Grande do Sul
L. F. F. C. Barcellos: Universidade Federal do Rio Grande do Sul
B. E. J. Bodmann: Universidade Federal do Rio Grande do Sul

Chapter Chapter 2 in Integral Methods in Science and Engineering, 2022, pp 19-34 from Springer

Abstract: Abstract The present work reports on a novel approach in the study of stationary neutron transport including escape from finite domains using a physical Monte Carlo simulation. The novelty is that escape is treated in an analogous way to the absorption reaction but outside the domain of interest and is quantified by an associated pseudo-cross section, which is the principal goal of this endeavour. Reaction rates determined by a physical Monte Carlo simulation were used to compute the space and energy-dependent pseudo-cross sections for neutron escape. As a case study we considered neutron transport in a spherical finite multiplicative medium of 76 cm diameter composed of 72% of water and 28% of uranium dioxide enriched to a 2.5% uranium-235 content. The simulation started with 2 × 104 neutrons. All determined distribution functions from the simulation were cast in analytical representation so that the escape cross section was also obtained by an analytical expression. Our results showed the perspectives that arise if simulations are performed with power computing resources so that the rich influence of the resonances and their effects on leakage may be evaluated in high fidelity.

Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-07171-3_2

Ordering information: This item can be ordered from
http://www.springer.com/9783031071713

DOI: 10.1007/978-3-031-07171-3_2

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().