Criticality safety enhancements for SCALE 6.2 and beyond

B. T. Rearden, K. B. Bekar, C. Celik, K. T. Clarno, M. E. Dunn, S. W.D. Hart, A. M. Ibrahim, S. R. Johnson, B. R. Langley, J. P. Lefebvre, R. A. Lefebvre, W. J. Marshall, U. Mertyurek, D. E. Mueller, D. E. Peplow, C. M. Perfetti, L. M. Petrie, A. B. Thompson, D. Wiarda, W. A. WieselquistM. A. Williams

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

5 Scopus citations

Abstract

SCALE is a widely used suite of tools for nuclear systems modeling and simulation that provides comprehensive, verified and validated, user-friendly capabilities for criticality safety, reactor physics, radiation shielding, and sensitivity and uncertainty analysis. Since 1980, regulators, industry, and research institutions around the world have relied on SCALE for nuclear safety analysis and design. SCALE 6.2 provides several new capabilities and significant improvements in many existing features for criticality safety analysis. Enhancements are realized for nuclear data; multigroup resonance self-shielding; continuous-energy Monte Carlo analysis for sensitivity/uncertainty analysis, radiation shielding, and depletion; and graphical user interfaces. An overview of these capabilities is provided in this paper, and additional details are provided in several companion papers.

Original languageEnglish
Title of host publicationICNC 2015 - International Conference on Nuclear Criticality Safety
PublisherAmerican Nuclear Society
Pages1255-1269
Number of pages15
ISBN (Electronic)9780894487231
StatePublished - 2015
Event2015 International Conference on Nuclear Criticality Safety, ICNC 2015 - Charlotte, United States
Duration: Sep 13 2015Sep 17 2015

Publication series

NameICNC 2015 - International Conference on Nuclear Criticality Safety

Conference

Conference2015 International Conference on Nuclear Criticality Safety, ICNC 2015
Country/TerritoryUnited States
CityCharlotte
Period09/13/1509/17/15

Keywords

  • Cross sections
  • Depletion
  • Monte Carlo
  • Sensitivity

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