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will be implemented and validated in commercial finite element (FE) software. The resulting FE model will define the digital twin of the welded structure and provide the basis for the second PhD project
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) of fiber reinforced composites. Experience with the finite element method and programming experience in scripting languages like Python or Matlab. The position on structural health monitoring requires
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Mathematics, Biophysics, Mechanical Engineering, Materials Science or related disciplines · A strong foundation in continuum mechanics and transport phenomena · Experience with numerical methods and finite
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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 the digital twin
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postdoctoral researcher, you will develop, implement, and analyze cardiac growth and remodeling models in finite element frameworks for cardiac mechanics. Your work will focus on bio-chemo-mechanical and
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integration, finite-volume and finite-element methods, variational formulations, structure-preserving discretisations, optimal transport, and the numerical analysis of partial differential equations. The second
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structure-preserving methods for mathematical models of physical systems, including topics such as geometric numerical integration, finite-volume and finite-element methods, variational formulations
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that harness mechanics and geometry. As a PhD candidate, you will adopt and extend in-house homogenized constrained-mixture (finite element) models for cardiovascular tissues towards simulating cartilage G&R
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data, a physics-based train–track–embankment interaction model will be developed using finite element (FE) and/or multibody dynamics (MBD) approaches. The model will be used to investigate the mechanisms
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indicators of embankment condition. To support the interpretation of monitoring data, a physics-based train–track–embankment interaction model will be developed using finite element (FE) and/or multibody