Composite tubular construction subject to impact and blast loading. This project will advance the knowledge of composite tubular members and connections under impact and blast loading. It will provide confident design methodology against impact and blast loading for buildings designated as prominent targets or items of critical infrastructure, to save lives and reduce losses.
Sustainable planting of trees in suburban environments on shrinkable clays. Sustainable planting of trees in suburban environments on shrinkable clays. This project aims to develop a rational and reliable model to reduce the risk of damage to structures and increase tree plantings in suburban environments. Trees are vital to urban environmental sustainability, but local government, house-owners, engineers and the building industry are concerned about building damage and settlement from tree root ....Sustainable planting of trees in suburban environments on shrinkable clays. Sustainable planting of trees in suburban environments on shrinkable clays. This project aims to develop a rational and reliable model to reduce the risk of damage to structures and increase tree plantings in suburban environments. Trees are vital to urban environmental sustainability, but local government, house-owners, engineers and the building industry are concerned about building damage and settlement from tree root drying. If tree water needs and patterns of moisture extraction were predictable, house footings could be designed reliably. This research will provide such understanding through field experiments on suburban sites with trees, investigating damaged structures and numerical modelling. An anticipated outcome of this research is to develop a rational and reliable model to reduce the risk of damage to structures and increase tree plantings in suburban environments. Guidelines for both footing designers and local government.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100138
Funder
Australian Research Council
Funding Amount
$235,000.00
Summary
National Drop Weight Impact Testing Facility. National drop weight impact testing facility:
The national drop weight impact testing facility aims to enable dynamic tests on geo- and construction materials and systems. This facility aims to provide state-of-the-art technology to observe the real-time behaviour of elements and sub-assemblies under combined quasi-static and impact loading. Understanding material behaviour under dynamic loading is essential in dealing with many engineering problems ....National Drop Weight Impact Testing Facility. National drop weight impact testing facility:
The national drop weight impact testing facility aims to enable dynamic tests on geo- and construction materials and systems. This facility aims to provide state-of-the-art technology to observe the real-time behaviour of elements and sub-assemblies under combined quasi-static and impact loading. Understanding material behaviour under dynamic loading is essential in dealing with many engineering problems. The facility may advance understanding of the fundamental behaviour of critical infrastructure exposed to impact loading and will foster innovations in design and construction. Applications may include improvement of the structural safety of infrastructure including railway networks, tunnels and bridges, and also the development of cost-effective and environmentally friendly building and construction materials. 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
Internal soil erosion: from grain-scale insights to large-scale predictions. This project aims to further the understanding of internal soil erosion across different spatial and temporal scales. Internal soil erosion is the most frequent cause of failures of water retaining structures. An approach combining advanced X-ray techniques with particle based methods will be developed to observe, analyse and link different material properties and external conditions governing the erosion process. This ....Internal soil erosion: from grain-scale insights to large-scale predictions. This project aims to further the understanding of internal soil erosion across different spatial and temporal scales. Internal soil erosion is the most frequent cause of failures of water retaining structures. An approach combining advanced X-ray techniques with particle based methods will be developed to observe, analyse and link different material properties and external conditions governing the erosion process. This will lead to better criteria for soil erosion and numerical tools for field scale failure analysis and risk assessments. The expected outcomes of this project include enhanced capability to assess the integrity and stability of earth structures and better design criteria against erosion.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.