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failure modes is maintained. The project will investigate how one can utilize project specific material data (e.g. stress-strain curves for representative batches) and nonlinear finite element methods
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topology optimization. Hence, it is a prerequisite that the candidates document their experience with finite element programming to receive full consideration. Preference will be given to candidates with
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code based on Modified Newtonian aerodynamics and a coupled, nonlinear thermo-structural finite element solver. Supervisors: Professor Matthew Santer, Dr. Paul Bruce. Learning opportunities: You will
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framework exploiting the use of physical and geometrical conservation laws in a variety of spatial discretisation schemes (i.e. Finite Element, Finite Volume, Meshless). The resulting conservation-type
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pathway. Additionally, finite element theoretical modelling and density functional theory calculations will be used to further increase our understanding of the photo-reduction mechanism. Correlating
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-mechanical coupling. Understanding of wellbore and casing behavior under thermal load. Desired skills: Finite Element Analysis software: Abaqus, COMSOL Multiphysics, or ANSYS Python (for data analysis
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preferably has strong programming skills and experience with the modeling and simulations of fluid or solid mechanics or ice sheet flow and deformation (for example by use of finite element/volume methods
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experience in microstructural analyses. Familiarity with mechanical testing procedures and, ideally, experience in numerical simulation (e.g., finite element methods). Strong analytical skills, an independent
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Discipline: Engineering & Technology, Fluid Dynamics, Mechanical Engineering, Other Engineering Research area and project description: Droplets are ubiquitous in nature, industry, and our everyday
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models offer a powerful means to understand stroke mechanisms, predict treatment outcomes, and personalize patient care. By integrating numerical techniques like the finite element method and machine