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meshing of complex shapes, the project will substantially shorten preparation times and accelerate the adoption of high-order methods in industrial design and analysis. As the PhD researcher on this project
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, where current workflows still depend on substantial manual model clean-up. By removing the reliance on de-featuring and enabling reliable high-order meshing of complex shapes, the project will
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response remains a major challenge, and traditional mesh spacing strategies struggle to capture the complex, nonlinear ways that geometry shapes multiphysics behaviour, leading to either unnecessary
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curved meshes of arbitrary polynomial order is considerably more complex, especially around intricate aerodynamic surfaces. Instead of replacing current industrial meshing practices, the project proposes a
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traditional mesh spacing strategies struggle to capture the complex, nonlinear ways that geometry shapes multiphysics behaviour, leading to either unnecessary refinement or a loss of fidelity in critical
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polynomial order is considerably more complex, especially around intricate aerodynamic surfaces. Instead of replacing current industrial meshing practices, the project proposes a hybrid strategy: low-order
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Identifying and validating models for complex structures featuring nonlinearity remains a cutting-edge challenge in structural dynamics, with applications spanning civil structures, microelectronics