TOWARDS CAD-BASED GEOMETRY MODELLING WITH THE RANDOM RAY METHOD
The Advanced Random Ray Code (ARRC) is a high performance computing application capable of high-fidelity simulations of full core nuclear reactor models. ARRC leverages a recently developed stochastic method for neutron transport, known as The Random Ray Method (TRRM), which offers a variety of comp...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2021-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2021/01/epjconf_physor2020_03023.pdf |
| _version_ | 1818362135987617792 |
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| author | Shriwise Patrick C. Tramm John R. Davis Andrew Romano Paul K. |
| author_facet | Shriwise Patrick C. Tramm John R. Davis Andrew Romano Paul K. |
| author_sort | Shriwise Patrick C. |
| collection | DOAJ |
| description | The Advanced Random Ray Code (ARRC) is a high performance computing application capable of high-fidelity simulations of full core nuclear reactor models. ARRC leverages a recently developed stochastic method for neutron transport, known as The Random Ray Method (TRRM), which offers a variety of computational and numerical advantages as compared to existing methods. In particular, TRRM has been shown to be capable of efficient simulation of explicit three dimensional geometry representations without assumptions about axial homogeneity. To date, ARRC has utilized Constructive Solid Geometry (CSG) combined with a nested lattice geometry which works well for typical pressurized water reactors, but is not performant for the general case featuring arbitrary geometries.
To facilitate simulation of arbitrarily complex geometries in ARRC efficiently, we propose performing transport directly on Computer-Aided Design (CAD) models of the geometry. In this study, we utilize the Direct-Accelerated Geometry Monte Carlo (DAGMC) toolkit which tracks particles on tessellated CAD geometries using a bounding volume hierarchy to accelerate the process, as a replacement for ARRC’s current lattice-based accelerations. Additionally, we present a method for automatically subdividing the large CAD regions in the DAGMC model into smaller mesh cells required by random ray to achieve high accuracy. We test the new DAGMC geometry implementation in ARRC on several test problems, including a 3D pincells, 3D assemblies, and an axial section of the Advanced Test Reactor. We show that DAGMC allows for simulation of complex geometries in ARRC that would otherwise not be possible using the traditional approach while maintaining solution accuracy. |
| first_indexed | 2024-12-13T21:27:46Z |
| format | Article |
| id | doaj.art-686b9eec18ec45489d7836b2df22161e |
| institution | Directory Open Access Journal |
| issn | 2100-014X |
| language | English |
| last_indexed | 2024-12-13T21:27:46Z |
| publishDate | 2021-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj.art-686b9eec18ec45489d7836b2df22161e2022-12-21T23:30:54ZengEDP SciencesEPJ Web of Conferences2100-014X2021-01-012470302310.1051/epjconf/202124703023epjconf_physor2020_03023TOWARDS CAD-BASED GEOMETRY MODELLING WITH THE RANDOM RAY METHODShriwise Patrick C.0Tramm John R.1Davis Andrew2Romano Paul K.3Argonne National Laboratory 9700 S. Cass Avenue LemontArgonne National Laboratory 9700 S. Cass Avenue LemontUnited Kingdom Atomic Energy Agency Culham Science CentreArgonne National Laboratory 9700 S. Cass Avenue LemontThe Advanced Random Ray Code (ARRC) is a high performance computing application capable of high-fidelity simulations of full core nuclear reactor models. ARRC leverages a recently developed stochastic method for neutron transport, known as The Random Ray Method (TRRM), which offers a variety of computational and numerical advantages as compared to existing methods. In particular, TRRM has been shown to be capable of efficient simulation of explicit three dimensional geometry representations without assumptions about axial homogeneity. To date, ARRC has utilized Constructive Solid Geometry (CSG) combined with a nested lattice geometry which works well for typical pressurized water reactors, but is not performant for the general case featuring arbitrary geometries. To facilitate simulation of arbitrarily complex geometries in ARRC efficiently, we propose performing transport directly on Computer-Aided Design (CAD) models of the geometry. In this study, we utilize the Direct-Accelerated Geometry Monte Carlo (DAGMC) toolkit which tracks particles on tessellated CAD geometries using a bounding volume hierarchy to accelerate the process, as a replacement for ARRC’s current lattice-based accelerations. Additionally, we present a method for automatically subdividing the large CAD regions in the DAGMC model into smaller mesh cells required by random ray to achieve high accuracy. We test the new DAGMC geometry implementation in ARRC on several test problems, including a 3D pincells, 3D assemblies, and an axial section of the Advanced Test Reactor. We show that DAGMC allows for simulation of complex geometries in ARRC that would otherwise not be possible using the traditional approach while maintaining solution accuracy.https://www.epj-conferences.org/articles/epjconf/pdf/2021/01/epjconf_physor2020_03023.pdf |
| spellingShingle | Shriwise Patrick C. Tramm John R. Davis Andrew Romano Paul K. TOWARDS CAD-BASED GEOMETRY MODELLING WITH THE RANDOM RAY METHOD EPJ Web of Conferences |
| title | TOWARDS CAD-BASED GEOMETRY MODELLING WITH THE RANDOM RAY METHOD |
| title_full | TOWARDS CAD-BASED GEOMETRY MODELLING WITH THE RANDOM RAY METHOD |
| title_fullStr | TOWARDS CAD-BASED GEOMETRY MODELLING WITH THE RANDOM RAY METHOD |
| title_full_unstemmed | TOWARDS CAD-BASED GEOMETRY MODELLING WITH THE RANDOM RAY METHOD |
| title_short | TOWARDS CAD-BASED GEOMETRY MODELLING WITH THE RANDOM RAY METHOD |
| title_sort | towards cad based geometry modelling with the random ray method |
| url | https://www.epj-conferences.org/articles/epjconf/pdf/2021/01/epjconf_physor2020_03023.pdf |
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