2026-09-18T19:10:08Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/978622022-01-13T07:54:05Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Benoit Forget and Kord Smith.
Lax, Derek Michael
Massachusetts Institute of Technology. Department of Nuclear Science and Engineering.
Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
2015-07-17T19:54:32Z
2015-07-17T19:54:32Z
2015
2015
http://hdl.handle.net/1721.1/97862
913748862
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.
56 pages
eng
Massachusetts Institute of Technology
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
Nuclear Science and Engineering.
Memory efficient indexing algorithm for physical properties in OpenMC
Thesis
application/pdf
Publication
unknown
unknown
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