This is a project which is currently making use of HPC facilities at Newcastle University. It is active.
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This project uses high-performance computing to investigate how biological principles—such as whale-inspired tubercles, fish-like fin motions, and compliant surfaces—can improve the efficiency and reduce the noise of marine propulsors and underwater vehicles.
We will run large-scale computational fluid dynamics (CFD) simulations, including advanced turbulence-resolving methods, to capture the complex vortex structures and unsteady flow features that cannot be observed experimentally. These simulations will generate high-fidelity datasets used to design quieter, more efficient propulsion systems and to develop predictive models for next-generation autonomous underwater vehicles.
The project will combine detailed simulations, acoustic predictions, and data-driven modelling to gain new insights into biomimetic hydrodynamic mechanisms. Outcomes will support environmentally responsible marine technologies, including low-noise propulsors and energy-efficient ocean-monitoring platforms.
StarCCM+ will be used to run the detailed simulations, acoustic predictions, and data-driven modelling to gain new insights into biomimetic hydrodynamic mechanisms. Outcomes will support environmentally responsible marine technologies, including low-noise propulsors and energy-efficient ocean-monitoring platforms.