Flow-induced vibration of slender structures and its control. This project aims to expand substantially the state of knowledge on the flow-induced vibrations of bluff, slender structures such as cylinders, beams, and cables. A framework is expected to be developed that describes the flow-induced vibration of these structures systematically, adding new data and drawing links between previously disparate areas of research. The significance of such a framework is great, as not only is flow-induced ....Flow-induced vibration of slender structures and its control. This project aims to expand substantially the state of knowledge on the flow-induced vibrations of bluff, slender structures such as cylinders, beams, and cables. A framework is expected to be developed that describes the flow-induced vibration of these structures systematically, adding new data and drawing links between previously disparate areas of research. The significance of such a framework is great, as not only is flow-induced vibration a problem in many engineering applications (such as marine oil risers, chimneys, and bridges) it can also be exploited for renewable energy generation. Control mechanisms are also expected to be developed to maximise the energy generation potential.Read moreRead less
High-fidelity simulations for new models that reduce noise pollution. This project aims to develop a method for accurate and affordable prediction and mitigation of flow-induced noise. The innovative approach, based on recent developments in simulation and data-driven modelling, expects to reduce environmental noise pollution, improve public health and ease the impact of urbanisation. To date methodological limitations have hampered our ability to predict noise reliably and hence control it. Thi ....High-fidelity simulations for new models that reduce noise pollution. This project aims to develop a method for accurate and affordable prediction and mitigation of flow-induced noise. The innovative approach, based on recent developments in simulation and data-driven modelling, expects to reduce environmental noise pollution, improve public health and ease the impact of urbanisation. To date methodological limitations have hampered our ability to predict noise reliably and hence control it. This project, exploiting proven high-fidelity simulation and machine-learning techniques to overcome limitations to produce the scientific knowledge required for practical noise mitigation. Benefits include quieter aerospace, marine and renewable energy technologies, creating more pleasant communities.Read moreRead less