Development of 3-D parallel first-collision source method for discrete ordinate code JSNT-S

Yang, Chao; Cheng, Tao; Deng, Li; Li, Zhipeng; Wen, Lili

doi:10.1016/j.anucene.2019.106942

Cited by 9 publications

(2 citation statements)

References 13 publications

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“…The JPTS package includes three floors, where the top floor contains the data library NuDa produced by NJOY [11]. The middle floor contains four application programs: JSNT (S N ) [12], JMCT [3] (MC), JBURN [13] (deletion), and JTH (thermal-hydraulic). The lower floor comprises the two support frameworks of JASMIN [2] and JCOGIN [1].…”

Section: Jmct Systemmentioning

confidence: 99%

“…It is good luck that JMCT (MC) and JSNT (S N ) use same modeling, it makes the CADIS method become easy and highly efficient. The mesh weight windows, importance values, and source biasing coefficients were produced by solving the adjoint equation based on the discrete ordinate S N program JSNT [12]. Figure 9 shows the coupled flow of MC and S N .…”

Section: Coupled MC and S Nmentioning

confidence: 99%

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A high fidelity general purpose 3-D Monte Carlo particle transport program JMCT3.0

Deng

Zhang

et al. 2022

NUCL SCI TECH

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JMCT is a large-scale, high-fidelity, three-dimensional general neutron–photon–electron–proton transport Monte Carlo software system. It was developed based on the combinatorial geometry parallel infrastructure JCOGIN and the adaptive structured mesh infrastructure JASMIN. JMCT is equipped with CAD modeling and visualizes the image output. It supports the geometry of the body and the structured/unstructured mesh. JMCT has most functions, variance reduction techniques, and tallies of the traditional Monte Carlo particle transport codes. Two energy models, multi-group and continuous, are provided. In recent years, some new functions and algorithms have been developed, such as Doppler broadening on-the-fly (OTF), uniform tally density (UTD), consistent adjoint driven importance sampling (CADIS), fast criticality search of boron concentration (FCSBC) domain decomposition (DD), adaptive control rod moving (ACRM), and random geometry (RG) etc. The JMCT is also coupled with the discrete ordinate SN code JSNT to generate source-biasing factors and weight-window parameters. At present, the number of geometric bodies, materials, tallies, depletion zones, and parallel processors are sufficiently large to simulate extremely complicated device problems. JMCT can be used to simulate reactor physics, criticality safety analysis, radiation shielding, detector response, nuclear well logging, and dosimetry calculations etc. In particular, JMCT can be coupled with depletion and thermal-hydraulics for the simulation of reactor nuclear-hot feedback effects. This paper describes the progress in advanced modeling, high-performance numerical simulation of particle transport, multiphysics coupled calculations, and large-scale parallel computing.

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Section: Jmct Systemmentioning

confidence: 99%

Section: Coupled MC and S Nmentioning

confidence: 99%