FW/CADIS-Ω: An angle-informed hybrid method for deep-penetration radiation transport

Madicken Munk, R. N. Slaybaugh, Tara M. Pandya, Seth R. Johnson, T. M. Evans

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

A new method for generating variance reduction parameters for strongly anisotropic, deep-penetration radiation shielding studies is presented. This method generates an alternate form of the adjoint scalar flux quantity, φΩ which is used by both CADIS and FW-CADIS to generate variance reduction parameters for local and global response functions, respectively. The new method, called CADIS-Ω, was implemented in the Denovo/ADVANTG software suite, and results are presented for a concrete labyrinth test problem. Results indicate that the flux generated by CADIS-Ω incorporates localized angular anisotropics in the flux effectively. CADIS-Ω outperformed CADIS in the test problem while obtaining correct results. This initial work indicates that CADIS-Ω may be highly useful for shielding problems with strong angular anisotropics. A future test plan to fully characterize the new method is proposed, which should reveal more about the types of realistic problems for which the CADIS-Ω will be suited.

Original languageEnglish
Title of host publicationPhysics of Reactors 2016, PHYSOR 2016
Subtitle of host publicationUnifying Theory and Experiments in the 21st Century
PublisherAmerican Nuclear Society
Pages1069-1086
Number of pages18
ISBN (Electronic)9781510825734
StatePublished - 2016
EventPhysics of Reactors 2016: Unifying Theory and Experiments in the 21st Century, PHYSOR 2016 - Sun Valley, United States
Duration: May 1 2016May 5 2016

Publication series

NamePhysics of Reactors 2016, PHYSOR 2016: Unifying Theory and Experiments in the 21st Century
Volume2

Conference

ConferencePhysics of Reactors 2016: Unifying Theory and Experiments in the 21st Century, PHYSOR 2016
Country/TerritoryUnited States
CitySun Valley
Period05/1/1605/5/16

Keywords

  • Angular Biasing
  • CADIS
  • FW-CADIS
  • Hybrid Methods

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