A New Stochastic Geometry Type Based on Voronoi Tessellation in the Serpent 2 Monte Carlo Code

Jaakko Leppänen

A New Stochastic Geometry Type Based on Voronoi Tessellation in the Serpent 2 Monte Carlo Code

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

A new stochastic geometry type was recently implemented in the Serpent 2 Monte Carlo code, mainly for the purpose of modeling damaged nuclear fuel. The methodology relies on Voronoi tessellation, which is one of the mathematical approaches for dividing 3D volumes into randomly fragmented polyhedral zones. This paper presents the methodology and example results. The test case was obtained from an OECD/NEA criticality benchmark exercise on random geometries.

Original language	English
Title of host publication	Proceedings of M&C 2023 International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering
Number of pages	8
ISBN (Electronic)	978-1-926773-50-6
Publication status	Published - 2023
MoE publication type	A4 Article in a conference publication
Event	International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M&C 2023 - Niagara Falls, Canada Duration: 13 Aug 2023 → 17 Aug 2023

Conference

Conference	International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M&C 2023
Country/Territory	Canada
City	Niagara Falls
Period	13/08/23 → 17/08/23

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Leppänen, J. (2023). A New Stochastic Geometry Type Based on Voronoi Tessellation in the Serpent 2 Monte Carlo Code. In Proceedings of M&C 2023 International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering https://s3.amazonaws.com/amz.xcdsystem.com/3E787F95-FD19-2190-5C4D134AF5B49689_abstract_File8350/FinalPaper_8_0509082113.pdf

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title = "A New Stochastic Geometry Type Based on Voronoi Tessellation in the Serpent 2 Monte Carlo Code",

abstract = "A new stochastic geometry type was recently implemented in the Serpent 2 Monte Carlo code, mainly for the purpose of modeling damaged nuclear fuel. The methodology relies on Voronoi tessellation, which is one of the mathematical approaches for dividing 3D volumes into randomly fragmented polyhedral zones. This paper presents the methodology and example results. The test case was obtained from an OECD/NEA criticality benchmark exercise on random geometries.",

author = "Jaakko Lepp{\"a}nen",

year = "2023",

language = "English",

booktitle = "Proceedings of M&C 2023 International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering",

note = "International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M&C 2023 ; Conference date: 13-08-2023 Through 17-08-2023",

}

Leppänen, J 2023, A New Stochastic Geometry Type Based on Voronoi Tessellation in the Serpent 2 Monte Carlo Code. in Proceedings of M&C 2023 International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering. International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M&C 2023, Niagara Falls, Ontario, Canada, 13/08/23. <https://s3.amazonaws.com/amz.xcdsystem.com/3E787F95-FD19-2190-5C4D134AF5B49689_abstract_File8350/FinalPaper_8_0509082113.pdf>

A New Stochastic Geometry Type Based on Voronoi Tessellation in the Serpent 2 Monte Carlo Code. / Leppänen, Jaakko.
Proceedings of M&C 2023 International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering. 2023.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AB - A new stochastic geometry type was recently implemented in the Serpent 2 Monte Carlo code, mainly for the purpose of modeling damaged nuclear fuel. The methodology relies on Voronoi tessellation, which is one of the mathematical approaches for dividing 3D volumes into randomly fragmented polyhedral zones. This paper presents the methodology and example results. The test case was obtained from an OECD/NEA criticality benchmark exercise on random geometries.

M3 - Conference article in proceedings

BT - Proceedings of M&C 2023 International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering

T2 - International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M&C 2023

Y2 - 13 August 2023 through 17 August 2023

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A New Stochastic Geometry Type Based on Voronoi Tessellation in the Serpent 2 Monte Carlo Code

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