Abstract
A new variationally-based Monte Carlo variance reduction (VVR) method is developed to improve the estimation of characteristic parameters for neutron shielding and criticality problems. The VVR method employs a variationally-motivated functional that processes “low-quality” global forward and adjoint flux estimates into “high-quality” characteristic parameter estimates, such as the transmitted current through a shield or an eigenvalue. The VVR functionals are more costly to evaluate than standard functionals used to obtain Monte Carlo estimates, but they are more accurate. In this paper we demonstrate that for mono-energetic 1-D shielding and eigenvalue test problems, the improvement in accuracy obtained from the VVR scheme outweighs the extra computational expense, yielding a significant gain in the figure of merit.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
