Memory efficient indexing algorithm for physical properties in OpenMC
Thesis: S.M., Massachusetts Institute of Technology, Department of Nuclear Science and Engineering, 2015.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2015
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| Online Access: | http://hdl.handle.net/1721.1/97862 |
| _version_ | 1826217657315098624 |
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| author | Lax, Derek Michael |
| author2 | Benoit Forget and Kord Smith. |
| author_facet | Benoit Forget and Kord Smith. Lax, Derek Michael |
| author_sort | Lax, Derek Michael |
| collection | MIT |
| description | Thesis: S.M., Massachusetts Institute of Technology, Department of Nuclear Science and Engineering, 2015. |
| first_indexed | 2024-09-23T17:07:11Z |
| format | Thesis |
| id | mit-1721.1/97862 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T17:07:11Z |
| publishDate | 2015 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/978622019-04-12T09:25:40Z Memory efficient indexing algorithm for physical properties in OpenMC Lax, Derek Michael Benoit Forget and Kord Smith. Massachusetts Institute of Technology. Department of Nuclear Science and Engineering. Massachusetts Institute of Technology. Department of Nuclear Science and Engineering. Nuclear Science and Engineering. Thesis: S.M., Massachusetts Institute of Technology, Department of Nuclear Science and Engineering, 2015. Cataloged from PDF version of thesis. Includes bibliographical references (pages 55-56). OpenMC is an open source Monte Carlo code designed at MIT with a focus on parallel scalability for large nuclear reactor simulations. The target problem for OpenMC is a full core high-fidelity multi-physics coupled simulation. This encompasses not only nuclear physics, but also material science and thermohydraulics. One of the challenges associated with this problem is efficient data management, as the memory required for tallies alone can easily enter the Terabyte range. This thesis presents an efficient system for data storage which allows for physical properties of materials to be indexed without any constraints on the geometry. To demonstrate its functionality, a sample depletion calculation with 4 isotopes is completed on the BEAVRS benchmark geometry. Additionally, a temperature distribution assembly layout is presented. by Derek Michael Lax. S.M. 2015-07-17T19:54:32Z 2015-07-17T19:54:32Z 2015 2015 Thesis http://hdl.handle.net/1721.1/97862 913748862 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 56 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Nuclear Science and Engineering. Lax, Derek Michael Memory efficient indexing algorithm for physical properties in OpenMC |
| title | Memory efficient indexing algorithm for physical properties in OpenMC |
| title_full | Memory efficient indexing algorithm for physical properties in OpenMC |
| title_fullStr | Memory efficient indexing algorithm for physical properties in OpenMC |
| title_full_unstemmed | Memory efficient indexing algorithm for physical properties in OpenMC |
| title_short | Memory efficient indexing algorithm for physical properties in OpenMC |
| title_sort | memory efficient indexing algorithm for physical properties in openmc |
| topic | Nuclear Science and Engineering. |
| url | http://hdl.handle.net/1721.1/97862 |
| work_keys_str_mv | AT laxderekmichael memoryefficientindexingalgorithmforphysicalpropertiesinopenmc |