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
Towards an event based model of combustion generated sound. This proposal will develop new tools for predicting combustion generated sound. Since combustion noise often limits system performance, these new tools could be used to significantly reduce emissions of greenhouse gases and other pollutants from power generation and transportation.
Surf sounds: predicting the valuable data of bubble sound emissions. This project aims to predict natural bubble sounds. These audio signals contain data on the bubble size, which controls oxygen absorption, and thus product quality, in minerals, food, pharmaceuticals and water industries. Bubbles also control ocean carbon-dioxide absorption. Such gas absorption is almost impossible to monitor with laboratory sensors. In the ocean, sensors are quickly blocked by algae. In industry, liquids are o ....Surf sounds: predicting the valuable data of bubble sound emissions. This project aims to predict natural bubble sounds. These audio signals contain data on the bubble size, which controls oxygen absorption, and thus product quality, in minerals, food, pharmaceuticals and water industries. Bubbles also control ocean carbon-dioxide absorption. Such gas absorption is almost impossible to monitor with laboratory sensors. In the ocean, sensors are quickly blocked by algae. In industry, liquids are opaque or too hot. However, the easily-measured sounds get through. Experiments and computer simulations would allow the sound volume as well as frequencies emitted by bubbles to be predicted. This would enable valuable data to be interpreted from complex sounds, transforming industrial and environmental measurements.Read moreRead less
Bubble clouds in ocean waves. This project aims to predict the behaviour of bubble clouds in ocean waves. Bubble clouds are used in Europe to shield marine mammals from the dangerous noise of offshore wind-turbine construction, but would be dispersed by Australia's ocean swell and turbulence; and unlike in Europe, Australia's offshore-wind sites are frequented by endangered whales. Bubble clouds from breaking waves may also dissolve up to third of humanity's carbon in the ocean. Experiments and ....Bubble clouds in ocean waves. This project aims to predict the behaviour of bubble clouds in ocean waves. Bubble clouds are used in Europe to shield marine mammals from the dangerous noise of offshore wind-turbine construction, but would be dispersed by Australia's ocean swell and turbulence; and unlike in Europe, Australia's offshore-wind sites are frequented by endangered whales. Bubble clouds from breaking waves may also dissolve up to third of humanity's carbon in the ocean. Experiments and coordinated numerical simulations would predict the displacement and dispersion of bubbles in oceanic conditions. Experiments and simulations would then predict the acoustic behaviour of bubble clouds. This outcome would benefit new offshore-wind industries and climate science.Read moreRead less
Towards highly-efficient hydrogen gas turbines. The increasing interest in green hydrogen has led to a need for research and development in combustion systems that can accommodate hydrogen. One promising technology is low-emission gas turbines, which is a key player in the electricity market. However, hydrogen gas turbines are susceptible to a phenomenon called thermoacoustic instability, causing loud noise and can damage equipment. This project represents the first comprehensive study of the ef ....Towards highly-efficient hydrogen gas turbines. The increasing interest in green hydrogen has led to a need for research and development in combustion systems that can accommodate hydrogen. One promising technology is low-emission gas turbines, which is a key player in the electricity market. However, hydrogen gas turbines are susceptible to a phenomenon called thermoacoustic instability, causing loud noise and can damage equipment. This project represents the first comprehensive study of the effects of hydrogen fuel on thermoacoustic instability under conditions relevant to gas turbines. By examining low-order models, commonly used for designing gas turbines, this project can significantly advance the field and facilitate the adoption of green hydrogen as a fuel source.Read moreRead less