Designing the next generation of geosynthetic liner systems . The project aims to improve the effectiveness of geosynthetic liner systems to contain emerging contaminants such as per-and poly-fluoroalkyl substances (PFASs) for better protection of Australian groundwater resources. The project expects to experimentally validate theory to improve predictive models for performance of geosynthetic liner systems. Expected outcomes include new and updated design guidelines for effective environmental ....Designing the next generation of geosynthetic liner systems . The project aims to improve the effectiveness of geosynthetic liner systems to contain emerging contaminants such as per-and poly-fluoroalkyl substances (PFASs) for better protection of Australian groundwater resources. The project expects to experimentally validate theory to improve predictive models for performance of geosynthetic liner systems. Expected outcomes include new and updated design guidelines for effective environmental protection against PFASs and establishment of new approaches for predicting functional containment lifetimes of liner systems. These outcomes are expected to benefit the waste and remediation industries by influencing next-generation design regulations to ensure long-term environmental protection from PFAS.Read moreRead less
Novel test and design methods for base course reinforced flexible pavements. This project aims to develop the mechanics of geosynthetic-reinforced flexible pavements as an urgent need for the Australian pavement industry to build more sustainable and economical roads. Novel laboratory test apparatus and in-situ test programs, and mathematical models will be developed, for the first time, to capture the responses of reinforced base courses in a complete and optimised way to determine the paramete ....Novel test and design methods for base course reinforced flexible pavements. This project aims to develop the mechanics of geosynthetic-reinforced flexible pavements as an urgent need for the Australian pavement industry to build more sustainable and economical roads. Novel laboratory test apparatus and in-situ test programs, and mathematical models will be developed, for the first time, to capture the responses of reinforced base courses in a complete and optimised way to determine the parameters for pavement design and performance evaluation. The outcomes will enable reliable prediction of reinforced pavement behaviour, leading to better-performing geosynthetic products and more resilient pavements, reduced material usage and damage in pavements, and less environmental impact and maintenance cost.Read moreRead less
Reinforced crumbed rubber concrete for residential construction. Reinforced crumbed rubber concrete for residential construction. This project aims to use crumb rubber from used tyres to replace natural sand aggregate in concrete used in housing construction. Globally, very few of the millions of tyres discarded annually are recycled, while natural sand used in concrete is being depleted. This project intends to provide the tyre industry with a viable market for end of life tyres, and the premix ....Reinforced crumbed rubber concrete for residential construction. Reinforced crumbed rubber concrete for residential construction. This project aims to use crumb rubber from used tyres to replace natural sand aggregate in concrete used in housing construction. Globally, very few of the millions of tyres discarded annually are recycled, while natural sand used in concrete is being depleted. This project intends to provide the tyre industry with a viable market for end of life tyres, and the premix concrete industry with a “green” product for the residential construction market. Expected benefits include the increased use of a waste resource (used tyres), reduced use of a scarce natural resource (sand), and the development of an economic but green alternative concrete option for residential builders and owners.Read moreRead less
Optimization of internal pressure for designing industrial buildings. The project seeks to understand the internal pressure in a building during windstorms, to improve safety and performance. The internal pressure in a building is dependent on its volume and flexibility and the sizes of openings in the building envelope, and is a critical loading parameter in building design. Windstorm damage investigations have shown that incorrect internal pressures are frequently used in building design, lead ....Optimization of internal pressure for designing industrial buildings. The project seeks to understand the internal pressure in a building during windstorms, to improve safety and performance. The internal pressure in a building is dependent on its volume and flexibility and the sizes of openings in the building envelope, and is a critical loading parameter in building design. Windstorm damage investigations have shown that incorrect internal pressures are frequently used in building design, leading to damage. This project aims to study the internal pressures generated in buildings with a range of volumes and openings in the envelope. A combination of model-scale and full-scale tests and theoretical analysis are planned to determine critical parameters for highly turbulent air-flow though openings. Results will inform the revision of design data in codes and of guidelines for consistent, optimal design of buildings.Read moreRead less
Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provi ....Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provide real-time decisions for plant operators on the required treatment regime for incoming raw water, and advise them on the optimal reservoir offtake depth. This will potentially minimise treatment costs and health risks for consumers. The ultimate goal is to significantly enhance current water supply management practices.Read moreRead less
The Airport Metropolis: Managing the Interfaces. The project aims to develop coordinated and equitable decision-making to ensure that airport-urban development balances economic, social and environmental issues and produces a sustainable regional (and national) competitive advantage that is both secure and resilient. The project will develop modelling technologies for the innovative management of data to ensure efficient and resilient infrastructure coordination. The outputs will enable an open ....The Airport Metropolis: Managing the Interfaces. The project aims to develop coordinated and equitable decision-making to ensure that airport-urban development balances economic, social and environmental issues and produces a sustainable regional (and national) competitive advantage that is both secure and resilient. The project will develop modelling technologies for the innovative management of data to ensure efficient and resilient infrastructure coordination. The outputs will enable an open planning process whereby all stakeholders are able to provide informed input into decision-making. Strategic decision-making, based on increased certainty about future airport and regional planning and development will improve conditions for growth in a range of industries.Read moreRead less
On-line monitoring of cyanobacteria to predict coagulant doses and powdered activated carbon application in water treatment. Cyanobacteria, more commonly known as blue-green algae, can impact water quality by releasing toxins that can be harmful to human health and imparting unpleasant taste and odours to the water. This project will support the water industry in managing these risks by providing a rapid, on-line tool to assist in their removal during water treatment.