Iter neutronics modeling using hybrid Monte Carlo/ deterministic and CAD-based Monte Carlo methods

Ahmad M. Ibrahim, Scott W. Mosher, Thomas M. Evans, Douglas E. Peplow, Mohamed E. Sawan, Paul P.H. Wilson, John C. Wagner, Thad Heltemes

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

The immense size and complex geometry of the ITER experimentalfusion reactor require the development of special techniques that can accurately and efficiently perform neutronics simulations with minimal human effort. This paper shows the effect of the hybrid Monte Carlo (MC)/deterministic techniques-Consistent Adjoint Driven Importance Sampling (CADIS) and Forward-Weighted CADIS (FW-CADIS)-in enhancing the efficiency of the neutronics modeling of ITER and demonstrates the applicability of coupling these methods with computer-aideddesign-based MC. Three quantities were calculated in this analysis: the total nuclear heating in the inboard leg of the toroidal field coils (TFCs), the prompt dose outside the biological shield, and the total neutron and gamma fluxes over a mesh tally covering the entire reactor. The use of FW-CADIS in estimating the nuclear heating in the inboard TFCs resulted in afactorof~275 increase in the MCfigure of merit (FOM) compared with analog MC and a factor of~9 compared with the traditional methods of variance reduction. By providing a factor of ∼21000 increase in the MC FOM, the radiation dose calculation showed how the CADIS method can be effectively used in the simulation of problems that are practically impossible using analog MC. The total flux calculation demonstrated the ability of FW-CADIS to simultaneously enhance the MC statistical precision throughout the entire ITER geometry. Collectively, these calculations demonstrate the ability of the hybrid techniques to accurately model very challenging shielding problems in reasonable execution times.

Original languageEnglish
Pages (from-to)251-258
Number of pages8
JournalNuclear Technology
Volume175
Issue number1
DOIs
StatePublished - Jul 2011

Keywords

  • CAD-based Monte Carlo. Iter
  • Hybrid monte carlo/ deterministic

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