The stochastic finite element method for nuclear applications

José David Arregui Mena; Lee Margetts; Llion Evans; D V Griffiths; Anton Shterenlikht; Luis Cebamanos; Paul M. Mummery

The stochastic finite element method for nuclear applications

José David Arregui Mena
, Lee Margetts
, Llion Evans
, D V Griffiths
, Anton Shterenlikht
, Luis Cebamanos
, Paul M. Mummery

Solid Mechanics

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

2 Citations (Scopus)

Abstract

Nuclear materials are subjected to demanding environments, encountering high temperature gradients and fast neutron fluxes that gradually damage its structure and therefore change the material properties. Some components of a nuclear reactor determine its lifetime, such as the graphite core and steel pressure vessel for fission reactors. In case of fusion reactors the tungsten divertor is expected to be replaced several times during its lifespan. All these materials contain defects and spatial material variability that may contribute to the failure of the component. The Stochastic Finite Element Method or a Random Finite Element Method was chosen in this research to model the spatial material variability in nuclear graphite and other key components of nuclear reactors. This research describes how a direct Monte Carlo Simulation approach was adapted to simulate the calibration of a random field and the modelling of these defects for nuclear graphite. It is also suggested that this methodology can be applied to fusion reactor modelling.

Original language	English
Title of host publication	ECCOMAS Congress 2016 - Proceedings of the 7th European Congress on Computational Methods in Applied Sciences and Engineering
Publisher	National Technical University of Athens
Pages	2471-2483
Number of pages	13
Volume	2
ISBN (Electronic)	9786188284401
Publication status	Published - 2016
Event	7th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS Congress 2016 - Crete, Greece Duration: 5 Jun 2016 → 10 Jun 2016

Conference

Conference	7th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS Congress 2016
Country/Territory	Greece
City	Crete
Period	5/06/16 → 10/06/16

Keywords

Nuclear energy
Nuclear fusion
Random finite element method

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Mena, J. D. A., Margetts, L., Evans, L., Griffiths, D. V., Shterenlikht, A., Cebamanos, L., & Mummery, P. M. (2016). The stochastic finite element method for nuclear applications. In ECCOMAS Congress 2016 - Proceedings of the 7th European Congress on Computational Methods in Applied Sciences and Engineering (Vol. 2, pp. 2471-2483). National Technical University of Athens.

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title = "The stochastic finite element method for nuclear applications",

abstract = "Nuclear materials are subjected to demanding environments, encountering high temperature gradients and fast neutron fluxes that gradually damage its structure and therefore change the material properties. Some components of a nuclear reactor determine its lifetime, such as the graphite core and steel pressure vessel for fission reactors. In case of fusion reactors the tungsten divertor is expected to be replaced several times during its lifespan. All these materials contain defects and spatial material variability that may contribute to the failure of the component. The Stochastic Finite Element Method or a Random Finite Element Method was chosen in this research to model the spatial material variability in nuclear graphite and other key components of nuclear reactors. This research describes how a direct Monte Carlo Simulation approach was adapted to simulate the calibration of a random field and the modelling of these defects for nuclear graphite. It is also suggested that this methodology can be applied to fusion reactor modelling.",

keywords = "Nuclear energy, Nuclear fusion, Random finite element method",

author = "Mena, \{Jos{\'e} David Arregui\} and Lee Margetts and Llion Evans and Griffiths, \{D V\} and Anton Shterenlikht and Luis Cebamanos and Mummery, \{Paul M.\}",

year = "2016",

language = "English",

volume = "2",

pages = "2471--2483",

booktitle = "ECCOMAS Congress 2016 - Proceedings of the 7th European Congress on Computational Methods in Applied Sciences and Engineering",

publisher = "National Technical University of Athens",

address = "Greece",

note = "7th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS Congress 2016 ; Conference date: 05-06-2016 Through 10-06-2016",

}

Mena, JDA, Margetts, L, Evans, L, Griffiths, DV, Shterenlikht, A, Cebamanos, L & Mummery, PM 2016, The stochastic finite element method for nuclear applications. in ECCOMAS Congress 2016 - Proceedings of the 7th European Congress on Computational Methods in Applied Sciences and Engineering. vol. 2, National Technical University of Athens, pp. 2471-2483, 7th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS Congress 2016, Crete, Greece, 5/06/16.

The stochastic finite element method for nuclear applications. / Mena, José David Arregui; Margetts, Lee; Evans, Llion et al.
ECCOMAS Congress 2016 - Proceedings of the 7th European Congress on Computational Methods in Applied Sciences and Engineering. Vol. 2 National Technical University of Athens, 2016. p. 2471-2483.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - The stochastic finite element method for nuclear applications

AU - Mena, José David Arregui

AU - Margetts, Lee

AU - Evans, Llion

AU - Griffiths, D V

AU - Shterenlikht, Anton

AU - Cebamanos, Luis

AU - Mummery, Paul M.

PY - 2016

Y1 - 2016

N2 - Nuclear materials are subjected to demanding environments, encountering high temperature gradients and fast neutron fluxes that gradually damage its structure and therefore change the material properties. Some components of a nuclear reactor determine its lifetime, such as the graphite core and steel pressure vessel for fission reactors. In case of fusion reactors the tungsten divertor is expected to be replaced several times during its lifespan. All these materials contain defects and spatial material variability that may contribute to the failure of the component. The Stochastic Finite Element Method or a Random Finite Element Method was chosen in this research to model the spatial material variability in nuclear graphite and other key components of nuclear reactors. This research describes how a direct Monte Carlo Simulation approach was adapted to simulate the calibration of a random field and the modelling of these defects for nuclear graphite. It is also suggested that this methodology can be applied to fusion reactor modelling.

AB - Nuclear materials are subjected to demanding environments, encountering high temperature gradients and fast neutron fluxes that gradually damage its structure and therefore change the material properties. Some components of a nuclear reactor determine its lifetime, such as the graphite core and steel pressure vessel for fission reactors. In case of fusion reactors the tungsten divertor is expected to be replaced several times during its lifespan. All these materials contain defects and spatial material variability that may contribute to the failure of the component. The Stochastic Finite Element Method or a Random Finite Element Method was chosen in this research to model the spatial material variability in nuclear graphite and other key components of nuclear reactors. This research describes how a direct Monte Carlo Simulation approach was adapted to simulate the calibration of a random field and the modelling of these defects for nuclear graphite. It is also suggested that this methodology can be applied to fusion reactor modelling.

KW - Nuclear energy

KW - Nuclear fusion

KW - Random finite element method

UR - https://www.scopus.com/pages/publications/84995486571

M3 - Conference Contribution (Conference Proceeding)

AN - SCOPUS:84995486571

VL - 2

SP - 2471

EP - 2483

BT - ECCOMAS Congress 2016 - Proceedings of the 7th European Congress on Computational Methods in Applied Sciences and Engineering

PB - National Technical University of Athens

T2 - 7th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS Congress 2016

Y2 - 5 June 2016 through 10 June 2016

ER -

The stochastic finite element method for nuclear applications

Abstract

Conference

Keywords

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HPC (High Performance Computing) and HTC (High Throughput Computing) Facilities

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The stochastic finite element method for nuclear applications

Abstract

Conference

Keywords

Handle.net

Other files and links

Fingerprint

Equipment

HPC (High Performance Computing) and HTC (High Throughput Computing) Facilities

Cite this