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Modification of a dynamic monte carlo technique to simplify and accelerate transient analysis with feedback

Ghaderi Mazaher, M ; Sharif University of Technology | 2022

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  1. Type of Document: Article
  2. DOI: 10.1080/00295639.2021.1989932
  3. Publisher: Taylor and Francis Ltd , 2022
  4. Abstract:
  5. In this paper, a simpler approach compared to the existing approaches is developed to analyze nuclear reactor dynamics based on the explicit Monte Carlo method. A new population control method is also introduced to prevent neutron population growth and consequent computer memory shortages, which also increases simulation speed. The scheme is applied for time-dependent particle tracking in three-dimensional arbitrary geometries in the presence of feedbacks through a code named MCSP-Explicit. Changes in material density, as well as geometry dimensions, are also considered during simulation. MCSP-Explicit can be run with either continuous or multigroup data libraries, and it is further boosted by parallel processing to speed up simulations. A number of benchmark problems are studied at the end to evaluate the performance of the proposed approach in various situations. © 2021 American Nuclear Society
  6. Keywords:
  7. Dynamic Monte Carlo ; Monte Carlo method ; Benchmarking ; Codes (symbols) ; Feedback ; Libraries ; Nuclear reactors ; Population statistics ; Transient analysis ; Computer memory ; Control methods ; MCSP code ; Monte Carlo techniques ; MonteCarlo methods ; Nuclear reactor dynamics ; Population control ; Population growth ; Simple approach ; Monte Carlo methods
  8. Source: Nuclear Science and Engineering ; Volume 196, Issue 4 , 2022 , Pages 395-408 ; 00295639 (ISSN)
  9. URL: https://www.tandfonline.com/doi/abs/10.1080/00295639.2021.1989932