Dynamic Monte Carlo transient analysis for the Organization for Economic Co-operation and Development Nuclear Energy Agency (OECD/NEA) C5G7-TD benchmark

With ever-advancing computer technology, the Monte Carlo (MC) neutron transport calculation is expanding its application area to nuclear reactor transient analysis. Dynamic MC (DMC) neutron tracking for transient analysis requires efficient algorithms for delayed neutron generation, neutron populati...

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Main Authors: Nadeem Shaukat, Min Ryu, Hyung Jin Shim
Format: Article
Language:English
Published: Elsevier 2017-08-01
Series:Nuclear Engineering and Technology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1738573317300712
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spelling doaj-841ab3aa44a34f9389eb260a53b8e2c42020-11-24T20:42:51ZengElsevierNuclear Engineering and Technology1738-57332017-08-0149592092710.1016/j.net.2017.04.008Dynamic Monte Carlo transient analysis for the Organization for Economic Co-operation and Development Nuclear Energy Agency (OECD/NEA) C5G7-TD benchmarkNadeem ShaukatMin RyuHyung Jin ShimWith ever-advancing computer technology, the Monte Carlo (MC) neutron transport calculation is expanding its application area to nuclear reactor transient analysis. Dynamic MC (DMC) neutron tracking for transient analysis requires efficient algorithms for delayed neutron generation, neutron population control, and initial condition modeling. In this paper, a new MC steady-state simulation method based on time-dependent MC neutron tracking is proposed for steady-state initial condition modeling; during this process, prompt neutron sources and delayed neutron precursors for the DMC transient simulation can easily be sampled. The DMC method, including the proposed time-dependent DMC steady-state simulation method, has been implemented in McCARD and applied for two-dimensional core kinetics problems in the time-dependent neutron transport benchmark C5G7-TD. The McCARD DMC calculation results show good agreement with results of a deterministic transport analysis code, nTRACER.http://www.sciencedirect.com/science/article/pii/S1738573317300712C5G7-TDDynamic Monte CarloMcCARDnTRACERTransient Analysis
collection DOAJ
language English
format Article
sources DOAJ
author Nadeem Shaukat
Min Ryu
Hyung Jin Shim
spellingShingle Nadeem Shaukat
Min Ryu
Hyung Jin Shim
Dynamic Monte Carlo transient analysis for the Organization for Economic Co-operation and Development Nuclear Energy Agency (OECD/NEA) C5G7-TD benchmark
Nuclear Engineering and Technology
C5G7-TD
Dynamic Monte Carlo
McCARD
nTRACER
Transient Analysis
author_facet Nadeem Shaukat
Min Ryu
Hyung Jin Shim
author_sort Nadeem Shaukat
title Dynamic Monte Carlo transient analysis for the Organization for Economic Co-operation and Development Nuclear Energy Agency (OECD/NEA) C5G7-TD benchmark
title_short Dynamic Monte Carlo transient analysis for the Organization for Economic Co-operation and Development Nuclear Energy Agency (OECD/NEA) C5G7-TD benchmark
title_full Dynamic Monte Carlo transient analysis for the Organization for Economic Co-operation and Development Nuclear Energy Agency (OECD/NEA) C5G7-TD benchmark
title_fullStr Dynamic Monte Carlo transient analysis for the Organization for Economic Co-operation and Development Nuclear Energy Agency (OECD/NEA) C5G7-TD benchmark
title_full_unstemmed Dynamic Monte Carlo transient analysis for the Organization for Economic Co-operation and Development Nuclear Energy Agency (OECD/NEA) C5G7-TD benchmark
title_sort dynamic monte carlo transient analysis for the organization for economic co-operation and development nuclear energy agency (oecd/nea) c5g7-td benchmark
publisher Elsevier
series Nuclear Engineering and Technology
issn 1738-5733
publishDate 2017-08-01
description With ever-advancing computer technology, the Monte Carlo (MC) neutron transport calculation is expanding its application area to nuclear reactor transient analysis. Dynamic MC (DMC) neutron tracking for transient analysis requires efficient algorithms for delayed neutron generation, neutron population control, and initial condition modeling. In this paper, a new MC steady-state simulation method based on time-dependent MC neutron tracking is proposed for steady-state initial condition modeling; during this process, prompt neutron sources and delayed neutron precursors for the DMC transient simulation can easily be sampled. The DMC method, including the proposed time-dependent DMC steady-state simulation method, has been implemented in McCARD and applied for two-dimensional core kinetics problems in the time-dependent neutron transport benchmark C5G7-TD. The McCARD DMC calculation results show good agreement with results of a deterministic transport analysis code, nTRACER.
topic C5G7-TD
Dynamic Monte Carlo
McCARD
nTRACER
Transient Analysis
url http://www.sciencedirect.com/science/article/pii/S1738573317300712
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AT minryu dynamicmontecarlotransientanalysisfortheorganizationforeconomiccooperationanddevelopmentnuclearenergyagencyoecdneac5g7tdbenchmark
AT hyungjinshim dynamicmontecarlotransientanalysisfortheorganizationforeconomiccooperationanddevelopmentnuclearenergyagencyoecdneac5g7tdbenchmark
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