Integrating Mobility on Demand in urban transport infrastructures. Australia’s major cities are substantially challenged for public transport services due to the dispersed and low population densities, and thus, roads are at or beyond their capacity. Smarter demand-responsive public transport services are therefore needed. This project studies the viability of such a service under a variety of scenarios.
Mathematics and computing for integrated stockyard-centric management of mining supply chains. Blended mineral products, such as coal and iron ore, make a strong contribution to Australia's economy. Blending occurs in stockpiles, so to realise product value, stockyard and supply chain operational plans must align with blend targets. This project will provide new mathematical and computational planning tools to maximise this value.
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
Development and application of a virtue experimental blast furnace. This project aims to develop a virtual experimental blast furnace based on advanced discrete particle simulation technique. It is intended that the model furnace will be used to study the flow and thermochemical behaviour in iron making, quantify the effects of key variables related to raw material and operational conditions, and formulate strategies for optimum process design and control under different conditions. The findings ....Development and application of a virtue experimental blast furnace. This project aims to develop a virtual experimental blast furnace based on advanced discrete particle simulation technique. It is intended that the model furnace will be used to study the flow and thermochemical behaviour in iron making, quantify the effects of key variables related to raw material and operational conditions, and formulate strategies for optimum process design and control under different conditions. The findings aim to be very useful to comprehensively assess the performance of Australian minerals in iron making, improve the energy efficiency and reduce carbon dioxide emission in the steel industry, and enhance the competitiveness of the Australian economy.Read moreRead less
Multiscale modelling of the transport phenomena of liquid iron and slag in ironmaking blast furnace. Blast furnace ironmaking is a key operation in the steel industry which, with an annual turnover around $11 billion, is a significant manufacturing sector in Australia. This project, focused on the behaviour of liquid iron and slag, can generate computer models that can reliably describe the complicated multiphase flow and thermochemical processes in the furnace. The implementation of the resulta ....Multiscale modelling of the transport phenomena of liquid iron and slag in ironmaking blast furnace. Blast furnace ironmaking is a key operation in the steel industry which, with an annual turnover around $11 billion, is a significant manufacturing sector in Australia. This project, focused on the behaviour of liquid iron and slag, can generate computer models that can reliably describe the complicated multiphase flow and thermochemical processes in the furnace. The implementation of the resultant models and the new understanding should lead to long life campaigns, better operational control, decreased fuel consumption, improved productivity and reduced environmental impact. This, together with the proposed research training, is important to the development of Australia's competitive steel industry.Read moreRead less
Model studies of new ironmaking processes. This project aims to study the fundamentals governing the multiphase flow and thermochemical performance in representative new ironmaking processes, and formulate some useful strategies for the design, control and optimisation of next generation of ironmaking technology which is useful to Australia's future mineral and steel industries.
OPTIMISATION OF COMPACT BOILING HEAT EXCHANGERS USING ARTIFICIAL NEURAL NETWORK. Compact heat exchangers are increasingly considered for duties in many industrial applications, involving phase change processes of boiling and condensation. In many cases such applications are completely new and no previous experience or information is available for constructive design of compact heat exchangers. This project aims to develop a commercially-viable design methodology that will be innovative and novel ....OPTIMISATION OF COMPACT BOILING HEAT EXCHANGERS USING ARTIFICIAL NEURAL NETWORK. Compact heat exchangers are increasingly considered for duties in many industrial applications, involving phase change processes of boiling and condensation. In many cases such applications are completely new and no previous experience or information is available for constructive design of compact heat exchangers. This project aims to develop a commercially-viable design methodology that will be innovative and novel with in mind of robust and speedy computations of key design parameters of compact boiling heat exchangers through the artificial neural networks (ANN) model and maintaining the inherent accuracy associated with the solutions of the boiling flow and heat transfer processes from computational fluid dynamics (CFD) and validated using experimental data. It will provide a cutting edge to the Industry Partner to compete successfully on the local and global market fronts in designing and manufacturing compact boiling heat exchangers.Read moreRead less
Increasing Visitor Frequency: approach to understanding and forecasting how cultural attraction visitors respond to various incentives to increase visitation rates. Museums have been steadily losing visitors over the past decade. While current research indicates that this may be attributed to greater leisure competition, little is understood about how people make choices to visit or not to visit cultural attractions. The aim of this project is to develop, demonstrate and test a Random Utility Th ....Increasing Visitor Frequency: approach to understanding and forecasting how cultural attraction visitors respond to various incentives to increase visitation rates. Museums have been steadily losing visitors over the past decade. While current research indicates that this may be attributed to greater leisure competition, little is understood about how people make choices to visit or not to visit cultural attractions. The aim of this project is to develop, demonstrate and test a Random Utility Theory (RUT)-based modelling approach allowing managers of cultural attractions to understand and predict the likely visitation consequences of potential initiatives. We wish to model visitor choices of museums versus other competing attractions to allow museums to identify specific strategic actions (or combinations) to achieve organisational goals.Read moreRead less
Borderline Personality as Social Phenomena. Mental disorders attract social stigma and those diagnosed are widely misunderstood. This project aims to collect and analyse accounts of people living with Borderline Personality Disorder (BPD) - mainly women - and perspectives of social support practitioners. The intended outcome is to provide a sophisticated understanding of BPD as a social phenomenon, develop sociological evidence based on lived experiences and generate Australian digital resources ....Borderline Personality as Social Phenomena. Mental disorders attract social stigma and those diagnosed are widely misunderstood. This project aims to collect and analyse accounts of people living with Borderline Personality Disorder (BPD) - mainly women - and perspectives of social support practitioners. The intended outcome is to provide a sophisticated understanding of BPD as a social phenomenon, develop sociological evidence based on lived experiences and generate Australian digital resources including narratives of BPD, creative outputs and practitioner perspectives. The anticipated goal of this project is to inform policy and community responses addressing stigma and marginalisation, and the improvement of social support for those affected by BPD.Read moreRead less
Efficacy of strategies to increase participation rates in disease management programs. The aim of this project is to determine the most effective strategies for maximising recruitment and retention of at-risk adults into evidence-based disease- and risk-management programs, as well as completion of health risk assessments. It is evident from the literature on risk factor modification, and on the economic and social costs of chronic diseases, that increasing participation in these programs will ....Efficacy of strategies to increase participation rates in disease management programs. The aim of this project is to determine the most effective strategies for maximising recruitment and retention of at-risk adults into evidence-based disease- and risk-management programs, as well as completion of health risk assessments. It is evident from the literature on risk factor modification, and on the economic and social costs of chronic diseases, that increasing participation in these programs will lead to reduced health costs and reduced morbidity and mortality among the target population. The primary outcome of this project will be evidence-based guidelines on the best strategies for recruitment to, and retention in, disease and risk management programs.Read moreRead less