Burning characteristics of solid combustibles in fire investigation. Predictive fire models are increasingly being considered to analyse fire events. Nevertheless, the burning characteristics of solid combustibles relevant to household and industrial fires are yet to be thoroughly understood and described. This project focuses on the development of novel and innovative predictive fire models by incorporating a more comprehensive analysis of the combustion process of solid fuel, and directly link ....Burning characteristics of solid combustibles in fire investigation. Predictive fire models are increasingly being considered to analyse fire events. Nevertheless, the burning characteristics of solid combustibles relevant to household and industrial fires are yet to be thoroughly understood and described. This project focuses on the development of novel and innovative predictive fire models by incorporating a more comprehensive analysis of the combustion process of solid fuel, and directly linking the chemistry with particular volatiles emitted from the solid combustibles. These volatiles are regarded as being game-changing for fire engineering design assessments for a wide range of high temperature conditions in different settings and configurations.Read moreRead less
Characterization of Fast Propagating Fires in Green Buildings. This project aims to gain a better understanding of the mechanisms of fast-propagating fires and to address the deficiency in current fire models in assessing the fire safety requirement of green buildings. Although there are many compelling advantages associated with green building designs, because they promote better natural ventilation they could pose a significant fire hazard to occupants due to the propensity of rapid fire and s ....Characterization of Fast Propagating Fires in Green Buildings. This project aims to gain a better understanding of the mechanisms of fast-propagating fires and to address the deficiency in current fire models in assessing the fire safety requirement of green buildings. Although there are many compelling advantages associated with green building designs, because they promote better natural ventilation they could pose a significant fire hazard to occupants due to the propensity of rapid fire and smoke spread within the enclosed space. The new predictive fire model in this project is expected to promote a safer and sustainable building environment.Read moreRead less
Insulated sandwich panels in high temperature environments. A robust model comprising pyrolysis of polymeric material coupled with gas combustion will be developed to predict the burning behaviour of expanded polystyrene insulated sandwich panels. These models will provide an effective design tool for fire safety engineering design and the assessment of a wide range of polymeric materials in fire conditions.
Boosting up Productivity: Optimizing Scaffolding Life Cycle Management with Virtual Design and Construction. Scaffolding management can be critical to construction industries across oil and gas, building, and infrastructure sectors. It can lead to low productivity and safety due to static and poor planning. This project aims to innovatively integrate a decision support system, virtual design and construction, and onsite monitoring into one dynamic planning system to significantly lift productivi ....Boosting up Productivity: Optimizing Scaffolding Life Cycle Management with Virtual Design and Construction. Scaffolding management can be critical to construction industries across oil and gas, building, and infrastructure sectors. It can lead to low productivity and safety due to static and poor planning. This project aims to innovatively integrate a decision support system, virtual design and construction, and onsite monitoring into one dynamic planning system to significantly lift productivity. The emphasis is on producing optimal solutions for planning, design, erection, monitoring, dismantling, and relocation of scaffolding, so that productivity is maximised subject to satisfying required cost and safety constraints. The project aims to therefore secure long-term economic benefits by improving productivity and enhancing project performance.Read moreRead less
Building Australia's next-generation ocean-sea ice model. Ocean and sea ice models are used for predicting future ocean and climate states, and for climate process research. This project aims to bring the next generation of ocean-sea ice models to Australia and configure the models for our local priorities. The ultimate goal is to create a new coupled ocean-sea ice model for Australia that includes surface waves and biogeochemistry. The model will be optimised and evaluated on Australian facilit ....Building Australia's next-generation ocean-sea ice model. Ocean and sea ice models are used for predicting future ocean and climate states, and for climate process research. This project aims to bring the next generation of ocean-sea ice models to Australia and configure the models for our local priorities. The ultimate goal is to create a new coupled ocean-sea ice model for Australia that includes surface waves and biogeochemistry. The model will be optimised and evaluated on Australian facilities, and released for community use. These developments underpin future ocean state forecasts, sea ice forecasts, wave forecasts, decadal climate prediction and climate process studies. The project will benefit search and rescue, Defence and shipping operations, and will enhance future climate projections.Read moreRead less
Approximate algorithms and architectures for area efficient system design. This project aims to develop simpler but reliable image recognition systems that can run on low-cost, small-scale platforms, for use in driver monitoring system (DMS) applications. Cheaper reliable DMS will lead to wider availability of this technology to end users and improve safety of motor vehicles. This project will develop approximate algorithmic and circuit techniques, provide training for research students and buil ....Approximate algorithms and architectures for area efficient system design. This project aims to develop simpler but reliable image recognition systems that can run on low-cost, small-scale platforms, for use in driver monitoring system (DMS) applications. Cheaper reliable DMS will lead to wider availability of this technology to end users and improve safety of motor vehicles. This project will develop approximate algorithmic and circuit techniques, provide training for research students and build capability in the area of approximate computing. It is also expected to lead to commercial products, licences and revenue, which will enable new job creation.
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