Recent Research using MC21

01:00 PM - 02:00 PM
Tom Sutton, Bechtel Marine Propulsion Corporation, Schenectady, New York
Reactor and Nuclear Systems Division Seminar
Joint Institute for Computational Sciences (Building 5100), Auditorium (Room 128)
Email: Josh Jarrell


Dr. Sutton will begin by giving a brief description of the MC21 Monte Carlo neutron and photon transport code jointly developed by the Knolls Atomic Power Laboratory and the Bettis Atomic Power Laboratory. He will then discuss two recent research projects undertaken using MC21. The first is a method for minimizing the largest statistical uncertainties in Monte Carlo reactor calculations. Unlike other methods for accomplishing this goal that rely on auxiliary adjoint calculations, this method is completely contained within the Monte Carlo calculation. The second topic discussed is an anomalous increase in Monte Carlo statistical uncertainties rear surfaces employing reflecting boundary conditions for iterated-fission-source calculations. A theory is presented that yields qualitative agreement with observation. It is found that the anomalous behavior is inherent in any Monte Carlo code that uses the power method to converge the fission source.

About the Speaker

Education: BS (highest honors) – Nuclear Engineering – University of Virginia – 1978 MS, PhD – Nuclear Engineering – University of Michigan – 1983 Employment: Knolls Atomic Power Laboratory – 1983–present Areas of Expertise: Reactor physics, neutron and photon transport theory, neutron noise analysis, Monte Carlo methods, nodal kinetics, molecular dynamics simulations. Over 30 professional technical publications. American Nuclear Society: Fellow; Mathematics and Computation Division – chair, vice chair, treasurer, executive committee member; Reactor Physics Division – program committee member; Professional Divisions Committee, Technical Journals Committee, 1996 recipient of Young Member Engineering Achievement Award. Other: Technical advisor to the Rickover Fellowship Program in Nuclear Engineering.



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