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Multiscale computational study to predict the irradiation-induced change in engineering properties of fusion reactor materials

Mohamed, Salahudeen 1; Po, Giacomo; Lewis, Rhydian; Nithiarasu, Perumal
1 Karlsruher Institut für Technologie (KIT)

Abstract:

In this study, we address the impact of irradiation conditions in a tokamak on the engineering properties of
materials, leading to potential degradation of in-vessel components over their lifecycle. Our approach involves a
predictive model for irradiation-induced damage, employing a multiscale computational framework. This
framework integrates various simulation techniques, including Monte Carlo-based neutronics (OpenMC), dislocation dynamics (DD) using MoDELib, and finite element analysis (FEA) with Code_Aster. This integration offers a versatile solver capable of analysing tokamak components exposed to different irradiation doses and temperature conditions. To showcase the utility of this multiscale computational framework, we present a case study focused on tungsten monoblock designs. We assess the failure probabilities of these designs at different stages of their lifecycle. Neutron heating and damage energy values are obtained from OpenMC neutronics simulations. The neutron heating values serve as volumetric heat sources for the FEA thermal simulation. We calculate the displacement per atom (dpa) across the monoblock at various full power days (day 0, day 100, and day 1000) using the damage energy values. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000171600
Veröffentlicht am 13.06.2024
Cover der Publikation
Zugehörige Institution(en) am KIT Karlsruher Institut für Technologie (KIT)
Institut für Angewandte Materialien – Werkstoff- und Grenzflächenmechanik (IAM-MMI)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 06.2024
Sprache Englisch
Identifikator ISSN: 2352-1791
KITopen-ID: 1000171600
HGF-Programm 31.13.05 (POF IV, LK 01) Neutron-Resistant Structural Materials
Erschienen in Nuclear Materials and Energy
Verlag Elsevier
Band 39
Seiten Art.-Nr.: 101647
Vorab online veröffentlicht am 01.04.2024
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Web of Science
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