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Grant: Alliance Grants

University of Western Ontario

$120,000.00

Microstructure-informed modeling and experimentation of nuclear materials: coupled temperature and irradiation effects

FY 2022-23

Summary
There are different uses for small modular reactors (SMR), depending on their size, design, and energy range. For example, in the provinces of Ontario and Saskatchewan, it is decided to deploy the boiling water reactor technology to produce electricity, while the very high temperature gas cooled reactor technology might be used in Alberta for natural resources extraction or low-carbon hydrogen generation. The metal alloys that will be used in the structure of SMRs will be exposed to high temperatures while carrying mechanical loads and being irradiated with neutrons from fission. This will lead to the degradation of the alloys, potentially reducing the effective lifetime of reactors' components. This research focuses on the development of an advanced numerical model and in-situ experimental techniques for simulating the combined effects of irradiation and thermomechanical loads on the performance of candidate metal alloys for SMRs. The numerical model will be validated against the experimental data sets that will be measured from nano to macro-scales. It is expected that when it is developed, the model helps determine the safety margins of candidate metal alloys, hence reduce the cost of excessive trial-and-error experimentations. Further, the measured experimental data sets at elevated temperatures will help make informed decision regarding the performance of candidate metal alloys, and understand the underlying mechanisms that contribute to their degradation.
Program
Alliance Grants
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
580464-2022
Name nom
Abdolvand, Hamidreza HA
Department département
Mechanical and Materials Engineering
Organization id
36
Institution établissement
University of Western Ontario
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2022
Award amount
120000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
302
Area of application group en
Energy resources
Area of application group fr
Ressources d'énergie
Area of application en
Nuclear energy
Area of application fr
Énergie nucléaire
Research subject code
2003
Research subject group en
Materials science and technology
Research subject group fr
Science et technologie des matériaux
Research subject en
Metallurgy
Research subject fr
Métallurgie
Installment
inst:1
Partie
1
Nb partie
1
Application title
Microstructure-informed modeling and experimentation of nuclear materials: coupled temperature and irradiation effects
Application summary
There are different uses for small modular reactors (SMR), depending on their size, design, and energy range. For example, in the provinces of Ontario and Saskatchewan, it is decided to deploy the boiling water reactor technology to produce electricity, while the very high temperature gas cooled reactor technology might be used in Alberta for natural resources extraction or low-carbon hydrogen generation. The metal alloys that will be used in the structure of SMRs will be exposed to high temperatures while carrying mechanical loads and being irradiated with neutrons from fission. This will lead to the degradation of the alloys, potentially reducing the effective lifetime of reactors' components. This research focuses on the development of an advanced numerical model and in-situ experimental techniques for simulating the combined effects of irradiation and thermomechanical loads on the performance of candidate metal alloys for SMRs. The numerical model will be validated against the experimental data sets that will be measured from nano to macro-scales. It is expected that when it is developed, the model helps determine the safety margins of candidate metal alloys, hence reduce the cost of excessive trial-and-error experimentations. Further, the measured experimental data sets at elevated temperatures will help make informed decision regarding the performance of candidate metal alloys, and understand the underlying mechanisms that contribute to their degradation.