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Parametric optimisation based on TDS experiments for rapid and efficient identification of hydrogen transport materials properties

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Jun 2021 France Publisher:Elsevier BVJournal:Nuclear Materials and Energy, volume 27, page 100,984 (issn: 2352-1791, Copyright policy )Funded by:EC | EUROfusion, ANR | WHeSCI, EC | EUROfusion
Authors: Delaporte-Mathurin, Rémi; Hodille, Etienne; Mougenot, Jonathan; Charles, Y.; de Temmerman, Gregory; Leblond, Floriane; Grisolia, Christian;

doi: 10.1016/j.nme.2021.100984

Parametric optimisation based on TDS experiments for rapid and efficient identification of hydrogen transport materials properties

Abstract

A novel identification technique of hydrogen transport parameters using FESTIM (Finite Element Simulation of Tritium In Materials) has been demonstrated. FESTIM is a finite element code developed with FEniCS performing hydrogen transport simulations. The trapping parameters (detrapping energies and trap densities) are identified for various materials (Tungsten, Aluminium, EUROFER and Beryllium) by automatically reproducing thermo-desorption experiments. Several optimisation algorithms are tested and the Nelder–Mead algorithm shows the best efficiency. An optimisation test problem with five free parameters took only a few hours to solve whereas optimisation cases with two free parameters took a few minutes. Limitations of this technique are shown and discussed.

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Keywords

[SPI] Engineering Sciences [physics], Finite elements, TK9001-9401, 621, Parametric optimisation, [SPI.MAT] Engineering Sciences [physics]/Materials, 530, 620, materials, [SPI.MAT]Engineering Sciences [physics]/Materials, [SPI]Engineering Sciences [physics], Automation, finite elements, Hydrogen transport, Nuclear engineering. Atomic power, Materials, parametric optimisation, automation

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    citations
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    		 8
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
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    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Top 10%
Green
gold
Related to Research communities
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Energy Research