Implementation and application of PyNE sub-voxel R2S for shutdown dose rate analysis

被引:0
|
作者
Zhang, Xiaokang [1 ]
Shriwise, Patrick C. [2 ]
Liu, Songlin [1 ]
Wilson, Paul P. H. [3 ]
机构
[1] Chinese Acad Sci, Hefei Inst Phys Sci, Inst Plasma Phys, Hefei 230031, Peoples R China
[2] Argonne Natl Lab, 9700 S Cass Ave, Argonne, IL 60439 USA
[3] Univ Wisconsin, 1500 Engn Dr, Madison, WI 53706 USA
基金
中国国家自然科学基金; 中国博士后科学基金; 国家重点研发计划;
关键词
shutdown dose rate; R2S; sub-voxel; PyNE; VERIFICATION; BENCHMARKING; VALIDATION; GEOMETRY; PROPOSAL; MESH;
D O I
10.1088/2058-6272/ac6be3
中图分类号
O35 [流体力学]; O53 [等离子体物理学];
学科分类号
070204 ; 080103 ; 080704 ;
摘要
PyNE R2S is a mesh-based R2S implementation with the capability of performing shutdown dose rate (SDR) analysis directly on CAD geometry with Cartesian or tetrahedral meshes. It supports advanced variance reduction for fusion energy systems. However, the assumption of homogenized materials of PyNE R2S with a Cartesian mesh throughout a mesh voxel introduces an approximation in the case where a voxel covers multiple non-void cells. This work implements a sub-voxel method to add fidelity to PyNE R2S with a Cartesian mesh during the process of activation and photon source sampling by performing independent inventory calculations for each cell within a mesh voxel and using the results of those independent calculations to sample the photon source more precisely. PyNE sub-voxel R2S has been verified with the Frascati Neutron Generator (FNG)-ITER and ITER computational shutdown dose rate benchmark problems. The results for sub-voxel R2S show satisfactory agreement with the experimental values or reference results. PyNE sub-voxel R2S has been applied to the shutdown dose rate calculation of the Chinese Fusion Engineering Testing Reactor (CFETR). In conclusion, sub-voxel R2S is a reliable tool for SDR calculation and obtains more accurate results with the same voxel size than voxel R2S.
引用
收藏
页数:7
相关论文
共 24 条
  • [1] Implementation and application of PyNE sub-voxel R2S for shutdown dose rate analysis
    张小康
    Patrick C SHRIWISE
    刘松林
    Paul P H WILSON
    Plasma Science and Technology, 2022, (09) : 149 - 155
  • [2] Implementation and verification of PyNE R2S with DAG-OpenMC
    Zhang, Xiaokang
    Shriwise, Patrick C.
    Liu, Songlin
    FUSION ENGINEERING AND DESIGN, 2020, 160
  • [3] Development and validation of fully open-source R2S shutdown dose rate capabilities in OpenMC
    Peterson, Ethan E.
    Romano, Paul K.
    Shriwise, Patrick C.
    Myers, Patrick A.
    NUCLEAR FUSION, 2024, 64 (05)
  • [4] Shutdown dose rate analysis with unstructured tetrahedral element based R2S method using deterministic transport solver AETIUS
    Kim, Jong Woon
    Lee, Cheol Woo
    Lee, Young-Ouk
    FUSION ENGINEERING AND DESIGN, 2018, 131 : 156 - 165
  • [5] A shutdown dose rates analysis of the Korean fusion demonstration reactor using MCNP5 mesh-based R2S approach
    Kim, Jae Hyun
    Woo, Myeong Hyeon
    Shin, Chang Ho
    Hong, Ser Gi
    Fusion Engineering and Design, 2021, 167
  • [6] A shutdown dose rates analysis of the Korean fusion demonstration reactor using MCNP5 mesh-based R2S approach
    Kim, Jae Hyun
    Woo, Myeong Hyeon
    Shin, Chang Ho
    Hong, Ser Gi
    FUSION ENGINEERING AND DESIGN, 2021, 167
  • [7] Shutdown dose rate assessment for a DCLL blanket-based reactor: Application of the R2S-UNED approach
    Pablo Catalan, Juan
    Sauvan, Patrick
    Sanz, Javier
    FUSION ENGINEERING AND DESIGN, 2013, 88 (9-10) : 2088 - 2091
  • [8] MCR2S unstructured mesh capabilities for use in shutdown dose rate analysis
    Eade, T.
    Stonell, D.
    Turner, A.
    FUSION ENGINEERING AND DESIGN, 2015, 100 : 321 - 333
  • [9] Sensitivity of R2Smesh shutdown dose rate results on the mesh resolution
    Lu, Peng
    Pereslavtsev, Pavel
    Fischer, Ulrich
    Wegmann, Christian
    FUSION ENGINEERING AND DESIGN, 2018, 126 : 15 - 23
  • [10] Development of the R2SUNED Code System for Shutdown Dose Rate Calculations
    Sauvan, P.
    Catalan, J. P.
    Ogando, F.
    Juarez, R.
    Sanz, J.
    IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 2016, 63 (01) : 375 - 384