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modelling material, process, or product behaviour (such as using analytical, finite element (FE) analysis, thermodynamic, and data-driven modelling approaches) Experience in working with industrial partners
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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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of materials mechanics, e.g., plasticity, porous plasticity, crystal plasticity and damage mechanics. Knowledge of micromechanical modelling. Knowledge of non-linear finite element methods. Knowledge of FFT
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-speed cameras (in a newly renovated lab dedicated to our research group). A significant component of the analysis will include image processing, including data-driven methods and machine learning. You
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4-year D.Phil. studentship Supervisors: Dr Simone Falco, Prof Daniel Eakins Classic finite elements approach (FEA) approximate the shape of the model using elements with planar faces, therefore
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and/or of biomaterials for intervertebral discs. This will be used to optimise variables in preclinical design of these interventions. The studies will include the use of Finite Element Analysis and 3D
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would be given additional credit in evaluation Experience in using Finite Element Codes such as ABAQUS, ANSYS, etc. for numerical analysis Ability to conduct high quality research and publish results in
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techniques — as well as theoretical and computational techniques that may include finite element methods, crystal plasticity theory, damage theory, molecular dynamics and advanced multiscale modelling methods
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of building and structural concepts through the development of AI-enhanced Finite Element Method (FEM) tools. It includes implementing FEM-based systems capable of proposing innovative structural forms
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-cycle fatigue. The research methods are based on both small-scale and full-scale experimental testing and on Finite Element Modelling. Are you motivated to take a step towards a doctorate and open