Stochastic Assessment of Terrorist Blast and Fragmentation Casualty Risks. The project will develop probabilistic models to predict the likelihood and extent of casualties and other losses from terrorist car bombing threats. Car bombs comprise a large quantity of explosives, and produce primary fragments such as wheels, engine block, parts of door panels and other shrapnel that pose a serious safety hazard to people exposed in a street or other mass gatherings. An improved understanding of safet ....Stochastic Assessment of Terrorist Blast and Fragmentation Casualty Risks. The project will develop probabilistic models to predict the likelihood and extent of casualties and other losses from terrorist car bombing threats. Car bombs comprise a large quantity of explosives, and produce primary fragments such as wheels, engine block, parts of door panels and other shrapnel that pose a serious safety hazard to people exposed in a street or other mass gatherings. An improved understanding of safety risks will assist in setting safe evacuation distances. A quantitative assessment of terrorism risks will also allow the effectiveness of security measures to be assessed to provide cost-effective levels of protection that are acceptable to society.Read moreRead less
Reducing flood loss - A data-assimilation framework for improving forecasting capability in sparsely gauged regions. Floods are the biggest and severest natural disaster we face year after year. Furthermore, there has been little improvement in our capability to prevent flood damage over past decades. This research proposes a paradigm shift in the way flood forecasting, warning and evacuation proceeds, using 21st century technologies for collecting and incorporating flood related data into exist ....Reducing flood loss - A data-assimilation framework for improving forecasting capability in sparsely gauged regions. Floods are the biggest and severest natural disaster we face year after year. Furthermore, there has been little improvement in our capability to prevent flood damage over past decades. This research proposes a paradigm shift in the way flood forecasting, warning and evacuation proceeds, using 21st century technologies for collecting and incorporating flood related data into existing modelling platforms. It is argued that assimilating real-time satellite soil moisture data into flood models can increase accuracy manifold, even if the images are uncertain. The understanding gained in course of the proposed project has the potential to significantly reduce the damage caused year after year, especially in the data poor regions of the world.Read moreRead less
A real-time modelling of crowd dynamics for disaster prevention. This project aims to develop methods and technologies to enable urban planners to design infrastructures to ensure public safety in emergency situations and to enable emergency management to optimise effective response plans. Rapid population growth creates major challenges for urban management, which has a responsibility to ensure the safety of citizens in the case of emergencies. This project aims to develop a methodology to stud ....A real-time modelling of crowd dynamics for disaster prevention. This project aims to develop methods and technologies to enable urban planners to design infrastructures to ensure public safety in emergency situations and to enable emergency management to optimise effective response plans. Rapid population growth creates major challenges for urban management, which has a responsibility to ensure the safety of citizens in the case of emergencies. This project aims to develop a methodology to study pedestrian crowd dynamics under panic or extreme emergency conditions, using innovative experimental approaches with new multi-scale online simulation methods and optimisation techniques. The resultant methodology would support planning and prediction of pedestrian crowd movements based on data from past events as well as adaptive planning for live events as they unfold.Read moreRead less
Innovative tools to improve station design and management of crowds in emergency and panic conditions. This project aims to understand how crowds behave in panic and emergency situations in order to plan evacuation procedures and create the safest designs for our major infrastructures such as large public transport hubs and urban environment.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE110100023
Funder
Australian Research Council
Funding Amount
$500,000.00
Summary
Integrated command and control facility for large-scale critical infrastructure management. This is a test bed facility for achieving sustainable operation of Australia's critical infrastructure, particularly at airports. The facility will enable an integrated and coordinated strategy to increase operational resilience while not losing sight of the complex nature and dynamic requirements of critical infrastructure management.
Vulnerability mapping of hazards and economic loss assessment of offshore oil and gas platforms subject to accidental explosion and fires. In Australia, up to 100 offshore oil and gas wells per year are drilled, but fire and explosion are a risk. This project develops vulnerability maps of offshore platforms subjected to accidental explosions, so that economic loss, environmental and social impact can be effectively assessed based on these factors and mitigation measures can be introduced.
Field Data based Predictive Maintenance and Enhanced Track Design Procedure. Providing improved railroad design and maintenance solutions with accurate and timely assessment of track performance is vital to reduce the disruption of services, excessive maintenance costs and degradation over time. This project aims to develop a predictive maintenance model based on extensive wayside measurements to monitor and predict the nature of track instability. This will also be supplemented by mathematical ....Field Data based Predictive Maintenance and Enhanced Track Design Procedure. Providing improved railroad design and maintenance solutions with accurate and timely assessment of track performance is vital to reduce the disruption of services, excessive maintenance costs and degradation over time. This project aims to develop a predictive maintenance model based on extensive wayside measurements to monitor and predict the nature of track instability. This will also be supplemented by mathematical modelling to corroborate large-scale laboratory observations with past and real-time field monitoring records. This project will deliver tangible strategies and tools to increase track longevity and assist decision-makers in planning and prioritising corrective maintenance to ensure improved safety and passenger comfort.Read moreRead less
Damage Detection and Quantification using Infrastructure Digital Twins. Structural health monitoring is vital for infrastructure assets management as early detection of structural conditions is key to both safety and ongoing maintenance. This project combines computer vision, vibration tests, finite element modelling and deep learning technologies to develop an efficient structural health monitoring system. Digital twins created from images taken by cameras or UAVs will be correlated through dee ....Damage Detection and Quantification using Infrastructure Digital Twins. Structural health monitoring is vital for infrastructure assets management as early detection of structural conditions is key to both safety and ongoing maintenance. This project combines computer vision, vibration tests, finite element modelling and deep learning technologies to develop an efficient structural health monitoring system. Digital twins created from images taken by cameras or UAVs will be correlated through deep learning with structural conditions and load-carrying capacities obtained from vibration tests and finite element model analysis for efficient structural damage detection and quantification. The project will lead to effective structural health monitoring and enhance structural safety and reduce maintenance costs. Read moreRead less
Optimising Decentralised Membrane Bioreactors for Water Reuse. Water is a critical resource in Australia and as pressures on water resources increase, water recycling has emerged as an important component of water management practises throughout Australia. Decentralised wastewater treatment systems (or package plants) offer opportunities for water recycling in regional communities; however this application is limited by our understanding on the removal of contaminants of concern through these tr ....Optimising Decentralised Membrane Bioreactors for Water Reuse. Water is a critical resource in Australia and as pressures on water resources increase, water recycling has emerged as an important component of water management practises throughout Australia. Decentralised wastewater treatment systems (or package plants) offer opportunities for water recycling in regional communities; however this application is limited by our understanding on the removal of contaminants of concern through these treatment systems. This project will assess the suitability and efficiency of decentralised membrane bioreactors (MBRs) for the removal of endocrine disrupting chemicals (EDCs), pharmaceutically active compounds (PhACs) and pathogens in accordance with the 2006 National Guidelines for Water Recycling.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0883080
Funder
Australian Research Council
Funding Amount
$490,000.00
Summary
Detection of Trace Concentrations of Chemical Contaminants in Urban Water Systems. Water is a critical resource in Australia and as pressures on water resources increase, water recycling is becoming more prevalent. The presence of chemical contaminants such as low concentrations (ng/L) of pharmaceutically active compounds (PhACs), endocrine disrupters (EDCs) and other organic micropollutants in the aquatic environment has received much attention around the world including Australia due to their ....Detection of Trace Concentrations of Chemical Contaminants in Urban Water Systems. Water is a critical resource in Australia and as pressures on water resources increase, water recycling is becoming more prevalent. The presence of chemical contaminants such as low concentrations (ng/L) of pharmaceutically active compounds (PhACs), endocrine disrupters (EDCs) and other organic micropollutants in the aquatic environment has received much attention around the world including Australia due to their potential biological impact in urban water systems. The proposed equipment aims to establish analytical techniques and instrumental capacity for the selective analysis of chemical contaminants in order to improve our understanding of the fate of these compounds through different urban water systems.Read moreRead less