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activation and micromechanical modeling Progressive damage modeling of reinforced FRPs Mechanical characterization and fracture experiments Complete a PhD thesis at ETHZ Your profile Highly motivated and
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About the project: From Brittle to Ductile: Machine Learning 3D Fracture Simulations for Extreme Environments Supervisor: Prof, James Kermode, University of Warwick Develop cutting-edge machine
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engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications Strong background in solid/computational mechanics, including FEM and structural analysis. Experience or interest in metamaterials, fracture
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: Characterize recycled aluminium microstructures using SEM/EBSD, microCT, and in situ mechanical tests. Develop microstructure informed models of plasticity and fracture across length scales. Investigate how
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: Characterize recycled aluminium microstructures using SEM/EBSD, microCT, and in situ mechanical tests. Develop microstructure informed models of plasticity and fracture across length scales. Investigate how
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the direct interaction between the acidified solution stored in the aquifer and the caprock. The following scenarios could be considered as the most representative of the hydro-chemo-mechanical interactions
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The construction of demonstration-class fusion tokamak reactors requires a wide range of structural materials, each with the mechanical performance and integrity required for the expected local
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experimental test data. This project will harness new software capabilities to better understand bone mechanics, providing insight into the cause of OI fractures and its management. The successful candidate will
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-fracturing, and internal erosion. Subsequent column-scale experiments and modeling will validate your pore-scale findings and enable extrapolation to field-scale conditions. Experiments will be conducted
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reduces crack propagation in composites, reduce failure due to delamination and significantly improves fracture toughness [Williams et al, Journal of Materials Science 48, 3, 1005-1013, 2013]. In addition