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used in wind turbine blades, structural engineering exposed to offshore environments. However, the rapid growth of the wind turbine industry is expected to generate million tons of blade waste globally
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load predictions for wind turbines, specifically the foundations, with the ultimate objective of including structural health information in windfarm asset management to optimise structural lifetime
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Modern numerical simulation of spray break-up for gas turbine atomisation applications relies heavily upon the use of primary atomisation models, which predict drop size and position based upon
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, enabling early detection of damage. Renewable Energy: Rapid, optimized design of wind turbine blades and structures for greener energy. Microstructures: Accurate, efficient analysis of devices like MEMS
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
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2026. The UNFoLD lab specialises in the experimental measurements, analysis, and modelling of unsteady vortex-dominated flow phenomena, with applications in bio-inspired propulsion, wind turbine rotor
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for the next generation of thermal barrier coatings (TBCs) for aero-engines. The PhD Project Advanced TBCs are used in critical aeroengine components (e.g., Ni superalloy turbine blades) to ensure a reliable and
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., Ni superalloy turbine blades) to ensure a reliable and highly efficient operation. TBCs are crucial to ensure the safe and high-performance operation of such critical parts under extreme temperatures
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for next-generation gas turbines. These geometries pose manufacturing challenges, particularly regarding heat transfer, microstructure evolution, and defect prevention. Building on recent doctoral research
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type of non-grouted rock anchor for use with floating offshore wind turbines. The successful candidates will join a vibrant research group at Trinity College Dublin, working at the cutting edge