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Field
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prestressing of cast and 3D-printable SURPASS overlays using Fe-SMA fibres. Meso-scale finite element modelling of volumetric prestressing mechanisms with Fe-SMA fibres, including activation, recovery stress
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progressive interfacial damage development as a function of fatigue loading. The models will be implemented and validated in commercial finite element (FE) software. The resulting FE model will define
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Candidates should demonstrate experience and/or knowledge in one or more of the following areas: Numerical modelling of materials and structures using the Finite Element Method (FEM). Simulation of damage and
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are essential. Experience with finite element simulation software will also be considered an asset. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7315-DAMAND-007/Default.aspx Requirements
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successful candidate will also contribute to experiments. Where to apply Website https://www.academictransfer.com/en/jobs/364062/phd-position-in-soft-matter-mod… Requirements Specific Requirements We
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propagation in tools used in Friction Stir Welding (FSW) of advanced steel pipelines. The research activities include: Development of thermo-mechanical finite element models for Friction Stir Welding tools
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structures is essential. Experience with finite element, finite difference or discrete element modelling (e.g., FLAC3D, 3DEC, Abaqus, COMSOL or similar software) is considered an advantage. The successful
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reliability theory, probabilistic methods or statistics Strong computational skills, including programming (e.g., Python, MATLAB) and nonlinear finite element analysis (e.g., Abaqus, LS-DYNA) Knowledge
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structural systems and ULS / SLS design concepts Experience in structural dynamics and/or vibration analysis is an added asset Familiarity with finite element modelling (e.g. ABAQUS) and probabilistic methods
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analysis, such as MATLAB/Simulink, Python, finite-element tools or equivalent Essential Application/Interview Awareness/knowledge of field-oriented control, FPGA-based control, GaN inverter technologies