Seismic analysis of cracking and deformations in concrete gravity dams. This project aims to establish a rational predictive capability for the responses of concrete gravity dams subject to extreme design earthquakes. This will include the development of innovative numerical methods for effective modelling of crack propagation and closure, large slips on crack faces and weak interfaces, dam-reservoir interaction, dam-foundation interaction and automatic mesh generation. The expected outcomes of ....Seismic analysis of cracking and deformations in concrete gravity dams. This project aims to establish a rational predictive capability for the responses of concrete gravity dams subject to extreme design earthquakes. This will include the development of innovative numerical methods for effective modelling of crack propagation and closure, large slips on crack faces and weak interfaces, dam-reservoir interaction, dam-foundation interaction and automatic mesh generation. The expected outcomes of the project will be a significantly improved prediction tool. It is also anticipated that the project will result in improvements in dam and public safety, and more efficient use of funds for dam safety upgrades and management.Read moreRead less
Assessing risk of oligomictic conditions in sub-tropical water supply lakes. Assessing risk of oligomictic conditions in sub-tropical water supply lakes. This project aims to assess the risk of low rates of mixing in sub-tropical drinking water supply reservoirs, using environmental monitoring and numerical modelling. Emerging evidence suggests sub-tropical drinking water supply reservoirs could transition to low mixing states with increasing age and projected changes in global climate. While th ....Assessing risk of oligomictic conditions in sub-tropical water supply lakes. Assessing risk of oligomictic conditions in sub-tropical water supply lakes. This project aims to assess the risk of low rates of mixing in sub-tropical drinking water supply reservoirs, using environmental monitoring and numerical modelling. Emerging evidence suggests sub-tropical drinking water supply reservoirs could transition to low mixing states with increasing age and projected changes in global climate. While this risk is poorly understood, it could significantly affect the long-term reliability of water supply and potable water treatment costs. Addressing this knowledge gap is expected to develop effective management responses to ensure the long term sustainable use of these water resources.Read moreRead less
Optimisation of shallow geothermal systems for Australian schools. This project aims to increase energy efficiency and reduce greenhouse gas emissions by optimising shallow geothermal systems in Australian schools. Shallow geothermal systems use the ground as a heat source and sink for heating and cooling. Their application to schools has the potential to harness energy from untapped resources such as sport grounds, reduce energy consumption by up to 75% and increase comfort and productivity of ....Optimisation of shallow geothermal systems for Australian schools. This project aims to increase energy efficiency and reduce greenhouse gas emissions by optimising shallow geothermal systems in Australian schools. Shallow geothermal systems use the ground as a heat source and sink for heating and cooling. Their application to schools has the potential to harness energy from untapped resources such as sport grounds, reduce energy consumption by up to 75% and increase comfort and productivity of our children at school. An expected outcome of this project is to create a full scale physical model along advanced optimisation models which will allow better understanding of energy efficiency gains, and lead towards improving geothermal design techniques tailored to educational buildings.Read moreRead less
Development of Novel Concrete Noise Walls Incorporating Recycled Materials. This project will develop high-performance, lightweight, concrete noise walls and acoustic barriers that use recycled tyre and glass products to improve sound absorption, and address environmental problems associated with the mining of river sands, and stockpiling of waste tyre and glass products. Innovation in noise wall technology consists in developing low-carbon concrete mixes (using less cement) with a maximum amoun ....Development of Novel Concrete Noise Walls Incorporating Recycled Materials. This project will develop high-performance, lightweight, concrete noise walls and acoustic barriers that use recycled tyre and glass products to improve sound absorption, and address environmental problems associated with the mining of river sands, and stockpiling of waste tyre and glass products. Innovation in noise wall technology consists in developing low-carbon concrete mixes (using less cement) with a maximum amount of recycled product, together with reducing wall thickness, while maintaining the necessary engineering properties such as acoustics, strength, and durability. In addition to higher acoustic insulation, the novel low-carbon, lightweight, panels will improve material handling and affordability of noise barriers.Read moreRead less
Paving the way to greener roads and healthier waterways. Waste tyre permeable pavement is emerging as an effective stormwater surge mitigation solution. Yet, its behaviour under traffic loads and varied environmental conditions are not fully understood which undermines industry confidence in this technology. This project aims to advance the engineering of waste tyre permeable pavements by creating new knowledge on their mechanical and hydrological performance. The project will develop design gui ....Paving the way to greener roads and healthier waterways. Waste tyre permeable pavement is emerging as an effective stormwater surge mitigation solution. Yet, its behaviour under traffic loads and varied environmental conditions are not fully understood which undermines industry confidence in this technology. This project aims to advance the engineering of waste tyre permeable pavements by creating new knowledge on their mechanical and hydrological performance. The project will develop design guidelines, identify the governing mechanisms and develop a performance prediction framework based on laboratory and field tests, and advanced numerical modelling. The mechanisms of performance from micro to macro level will be identified, generating knowledge for industry to support widespread uptake.Read moreRead less
Water availability and demand: better forecasts, better management. This project aims to improve Australia’s capability in the provision and use of water forecasts for managing water resources. The current water forecasts are not fully utilised by water agencies as they are not sufficiently comprehensive and advanced. This project expects to achieve a step change in the uptake and utility of hydro-climate forecasts through an extensive partnership of leading researchers and operational agencies ....Water availability and demand: better forecasts, better management. This project aims to improve Australia’s capability in the provision and use of water forecasts for managing water resources. The current water forecasts are not fully utilised by water agencies as they are not sufficiently comprehensive and advanced. This project expects to achieve a step change in the uptake and utility of hydro-climate forecasts through an extensive partnership of leading researchers and operational agencies of hydro-climate forecasting, with federal, state and regional water agencies.Read moreRead less
A novel physical-digital approach for the assessing a large critical asset. This project aims to deliver an artificial intelligence-enabled decision-making tool to maintain and manage the floating covers of vast lagoons that treat raw sewage. The cover harvests the biogas released from the anaerobic digestion of sewage for electric power generation that exceeds the plant’s requirement. The approach involves an innovative thermographic technique and exploits transfer learning to adapt neural netw ....A novel physical-digital approach for the assessing a large critical asset. This project aims to deliver an artificial intelligence-enabled decision-making tool to maintain and manage the floating covers of vast lagoons that treat raw sewage. The cover harvests the biogas released from the anaerobic digestion of sewage for electric power generation that exceeds the plant’s requirement. The approach involves an innovative thermographic technique and exploits transfer learning to adapt neural networks trained on lab-scale and synthetic data to field implementation. The outcome is a machine learning framework to optimise biogas harvesting and renewable energy generation, and to avoid structural failure, that is capable of continuous improvement to take into account improved data and/or modelling capabilities.Read moreRead less