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
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
Discovery Early Career Researcher Award - Grant ID: DE180101593
Funder
Australian Research Council
Funding Amount
$359,446.00
Summary
Seismic evaluation of non-structural unreinforced masonry components. This project aims to reduce earthquake risk posed by unreinforced masonry buildings. The project will use integrated experimental and numerical research to understand the dynamic interaction between timber floors, roofs and walls. New knowledge about this interaction will enable economical and safe earthquake design methods to be used for unreinforced masonry buildings.
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
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.