Towards an interval particle transport monte carlo method

Ander Gray; Andrew Davis; Edoardo Patelli

doi:10.3850/978-981-11-2724-3_0035-cd

Towards an interval particle transport monte carlo method

Ander Gray, Andrew Davis, Edoardo Patelli

Civil And Environmental Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

Abstract

Monte Carlo has for a long time been the high fidelity model of choice in particle transport. The current state of the art in uncertainty propagation in particle transport is the so called Total Monte Carlo (TMC) method, a method which relies on the repeated execution of the same transport simulation. This however is often computationally intractable even with modern high performance computing standards. In this paper we review the TMC method, with a slight modification, and propose an alternative based on interval analysis; which provides a robust bound on the uncertainty in a single model evaluation.

Original language	English
Title of host publication	Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019
Editors	Michael Beer, Enrico Zio
Pages	3882-3889
Number of pages	8
ISBN (Electronic)	9789811127243
DOIs	https://doi.org/10.3850/978-981-11-2724-3_0035-cd
Publication status	Published - 22 Sept 2019
Event	29th European Safety and Reliability Conference, ESREL 2019 - Hannover, Germany Duration: 22 Sept 2019 → 26 Sept 2019

Publication series

Name	Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019

Conference

Conference	29th European Safety and Reliability Conference, ESREL 2019
Country/Territory	Germany
City	Hannover
Period	22/09/19 → 26/09/19

Funding

We thank Scott Ferson and Marco De Anglis (both University of Liverpool). Without their input, this uncertain output would not have been possible. This work has been carried out within the framework of the EUROfusion Consortium and has received funding from the Euratom research and training programme 2014-2018 and 2019-2020 under grant agreement No 633053. The views and opinions expressed herein do not necessarily reflect those of the European Commission. We thank Scott Ferson and Marco De Anglis (both University of Liverpool). Without their input, this uncertain output would not have been possible. This work has been carried out within the frame-work of the EUROfusion Consortium and has received funding from the Euratom research and training programme 2014-2018 and 2019-2020 under grant agreement No 633053. The views and opinions expressed herein do not necessarily reflect those of the European Commission.

Keywords

monte carlo
nuclear data
nuclear fusion
particle transport
probability bound analysis
total monte carlo
uncertainty propagation

Access to Document

10.3850/978-981-11-2724-3_0035-cd

Cite this

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abstract = "Monte Carlo has for a long time been the high fidelity model of choice in particle transport. The current state of the art in uncertainty propagation in particle transport is the so called Total Monte Carlo (TMC) method, a method which relies on the repeated execution of the same transport simulation. This however is often computationally intractable even with modern high performance computing standards. In this paper we review the TMC method, with a slight modification, and propose an alternative based on interval analysis; which provides a robust bound on the uncertainty in a single model evaluation.",

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author = "Ander Gray and Andrew Davis and Edoardo Patelli",

note = "Funding Information: We thank Scott Ferson and Marco De Anglis (both University of Liverpool). Without their input, this uncertain output would not have been possible. This work has been carried out within the framework of the EUROfusion Consortium and has received funding from the Euratom research and training programme 2014-2018 and 2019-2020 under grant agreement No 633053. The views and opinions expressed herein do not necessarily reflect those of the European Commission. Funding Information: We thank Scott Ferson and Marco De Anglis (both University of Liverpool). Without their input, this uncertain output would not have been possible. This work has been carried out within the frame-work of the EUROfusion Consortium and has received funding from the Euratom research and training programme 2014-2018 and 2019-2020 under grant agreement No 633053. The views and opinions expressed herein do not necessarily reflect those of the European Commission. Publisher Copyright: {\textcopyright} 2019 European Safety and Reliability Association. Published by Research Publishing, Singapore.; 29th European Safety and Reliability Conference, ESREL 2019 ; Conference date: 22-09-2019 Through 26-09-2019",

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Gray, A, Davis, A & Patelli, E 2019, Towards an interval particle transport monte carlo method. in M Beer & E Zio (eds), Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019. Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019, pp. 3882-3889, 29th European Safety and Reliability Conference, ESREL 2019, Hannover, Germany, 22/09/19. https://doi.org/10.3850/978-981-11-2724-3_0035-cd

Towards an interval particle transport monte carlo method. / Gray, Ander; Davis, Andrew; Patelli, Edoardo.
Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019. ed. / Michael Beer; Enrico Zio. 2019. p. 3882-3889 (Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

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Towards an interval particle transport monte carlo method

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