Structural Reliability of Engineering Structures in Cyclonic Winds. This project aims to address the challenge of predicting the impact of extreme cyclonic winds on complex engineering structures. By applying advanced computational and experimental techniques the project expects to develop new insight into turbulent flows at a sub-cyclone scale and how these produce aerodynamic loads on closely spaced cylindrical structures and elements. The expected outcomes of this project include enhanced sim ....Structural Reliability of Engineering Structures in Cyclonic Winds. This project aims to address the challenge of predicting the impact of extreme cyclonic winds on complex engineering structures. By applying advanced computational and experimental techniques the project expects to develop new insight into turbulent flows at a sub-cyclone scale and how these produce aerodynamic loads on closely spaced cylindrical structures and elements. The expected outcomes of this project include enhanced simulation techniques leading to better understanding of structural vulnerability to cyclones. This should provide significant benefits, such as improved structural design and cyclone mitigation strategies applicable to both high-value engineering structures and vulnerable communities in cyclone regions.Read moreRead less
Predictive capability for particle capture in aquatic ecosystems. This project investigates the fundamental fluid mechanics of particle capture, whereby suspended particles contact and adhere to a solid structure. This process is examined in productive and biodiverse ecosystems (such as coral reefs and seagrass meadows) whose health, productivity and propagation are directly controlled by particle capture. Existing formulations for particle capture are valid only under highly idealised condition ....Predictive capability for particle capture in aquatic ecosystems. This project investigates the fundamental fluid mechanics of particle capture, whereby suspended particles contact and adhere to a solid structure. This process is examined in productive and biodiverse ecosystems (such as coral reefs and seagrass meadows) whose health, productivity and propagation are directly controlled by particle capture. Existing formulations for particle capture are valid only under highly idealised conditions that are grossly unrepresentative of the complexity of ecosystem flows. The goal of this project is to use a coupled computational-experimental campaign to develop predictive capability for particle capture in ecosystems, where the flow can be turbulent and/or wave-dominated and the biological structures complex.Read moreRead less