Response of Vertical Drains in Soft Subgrade under Cyclic Rail Loading. Soft formations (subgrade) can become unstable when subjected to heavy and repeated (cyclic) train loading. This project aims to investigate the cause and mechanisms of undrained instability of soft subgrade soil beneath rail embankments, and to assess the effectiveness of prefabricated vertical drains (PVDs) in stabilising such soils. The role of PVDs to enhance track performance will be quantified via rigorous mathematical ....Response of Vertical Drains in Soft Subgrade under Cyclic Rail Loading. Soft formations (subgrade) can become unstable when subjected to heavy and repeated (cyclic) train loading. This project aims to investigate the cause and mechanisms of undrained instability of soft subgrade soil beneath rail embankments, and to assess the effectiveness of prefabricated vertical drains (PVDs) in stabilising such soils. The role of PVDs to enhance track performance will be quantified via rigorous mathematical techniques complementing a computer-based numerical model, which can be validated by laboratory and field data. It will deliver tangible outcomes for accurately predicting the long-term settlements in soft foundations over prolonged train loading while extending the life span of modern railroad infrastructure.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160101137
Funder
Australian Research Council
Funding Amount
$373,536.00
Summary
The whole is greater than its parts: Improving rail safety through teamwork. This project seeks to develop a train driving risk model that includes human factors, to enable rail organisations to better identify and mitigate safety risks. Train driving is a cognitively demanding task in which errors can quickly lead to catastrophic consequences. Signals passed at danger (SPADs) occur when a train goes past a red light. Despite significant investment in better signalling and communications infrast ....The whole is greater than its parts: Improving rail safety through teamwork. This project seeks to develop a train driving risk model that includes human factors, to enable rail organisations to better identify and mitigate safety risks. Train driving is a cognitively demanding task in which errors can quickly lead to catastrophic consequences. Signals passed at danger (SPADs) occur when a train goes past a red light. Despite significant investment in better signalling and communications infrastructure, SPAD rates remain unacceptably high and are projected to rise. SPAD risk is currently managed with a retrospective approach that fails to consider non-technical human factors such as time pressure, workload and team communications. By including non-technical dimensions, this project seeks to develop a comprehensive model to explain and prevent SPADs.Read moreRead less
Application of contemporary systems-based methods to reduce trauma at rail level crossings. Crashes at railway level crossings continue to cause significant trauma across Australia. Despite being a longstanding safety problem, the design and operation of level crossings has not changed considerably for decades. This research will provide an in-depth understanding of road user, environmental and infrastructure-related factors that influence safety and performance at rail level crossings. This wil ....Application of contemporary systems-based methods to reduce trauma at rail level crossings. Crashes at railway level crossings continue to cause significant trauma across Australia. Despite being a longstanding safety problem, the design and operation of level crossings has not changed considerably for decades. This research will provide an in-depth understanding of road user, environmental and infrastructure-related factors that influence safety and performance at rail level crossings. This will be used to develop a world-first model of the level crossing system that is needed to support the development of innovative countermeasures that will improve safety. Reductions in the levels of significant trauma at level crossings, and new public policy for level crossing upgrades, are the intended real-world outcomes.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100273
Funder
Australian Research Council
Funding Amount
$407,679.00
Summary
Supercomputing to understand track buckling and related train derailments. This project aims to understand the contributions of railway train forces to a dangerous and high-cost track dynamic behaviour called buckling; by developing a supercomputing method that unlocks the capability for large-scale 3D train-track interaction research for railway trains of up to 250 vehicles. This project expects to generate new knowledge regarding track buckling, train derailments and train-track dynamics. Expe ....Supercomputing to understand track buckling and related train derailments. This project aims to understand the contributions of railway train forces to a dangerous and high-cost track dynamic behaviour called buckling; by developing a supercomputing method that unlocks the capability for large-scale 3D train-track interaction research for railway trains of up to 250 vehicles. This project expects to generate new knowledge regarding track buckling, train derailments and train-track dynamics. Expected outcomes include a new supercomputing method for train-track dynamics and derailment research and a science-based technique to assess track buckling safety. This project should provide significant benefits to the rail industry including enhanced rail safety, lower maintenance costs and improved transport efficiency.Read moreRead less
Next-gen accident prevention: a new theory and toolkit for safer systems. This project aims to address limitations associated with existing accident causation theory and methodologies. Accident prevention across high risk industries is constrained by limitations in accident theory and methodologies. As a result, reductions in injuries and fatalities in most domains are plateauing. The expected outputs of the project include a new theory of accident causation, a new proactive risk assessment meth ....Next-gen accident prevention: a new theory and toolkit for safer systems. This project aims to address limitations associated with existing accident causation theory and methodologies. Accident prevention across high risk industries is constrained by limitations in accident theory and methodologies. As a result, reductions in injuries and fatalities in most domains are plateauing. The expected outputs of the project include a new theory of accident causation, a new proactive risk assessment methodology and a new methodology for analysing accidents. This will provide organisations and researchers with a powerful framework for enhanced accident analysis and prevention activities. This will provide significant benefits, associated with reductions in accidents, injuries and fatalities.Read moreRead less
Preventing railway suicide: An open-systems perspective. Preventing railway suicide: An open-systems perspective. This project aims to develop an automated suicide risk detection system to reduce the incidence and impact of railway suicide, which has a devastating effect on victims’ families, station staff, train drivers, emergency workers, and bystanders. This project will use open-systems theory to develop two complementary information systems for more effective detection and reporting of suic ....Preventing railway suicide: An open-systems perspective. Preventing railway suicide: An open-systems perspective. This project aims to develop an automated suicide risk detection system to reduce the incidence and impact of railway suicide, which has a devastating effect on victims’ families, station staff, train drivers, emergency workers, and bystanders. This project will use open-systems theory to develop two complementary information systems for more effective detection and reporting of suicide risk; use these systems to investigate how different situational factors interact with different combinations of service interventions to influence suicide risk; and share the findings to reduce railway suicide in Australia and overseas.Read moreRead less
Plastic deformation and failure of high strength rail steels in heavy haul transportation of mineral products. The Australian Government has made infrastructure, including rail, as a national priority for investment to meet the freight transport demand. This project focuses on the deformation and failure of rail in heavy haul lines to transport ores in the mining industry. The outcomes will be applied to ensure the structural integrity of rail infrastructure.
Discovery Early Career Researcher Award - Grant ID: DE220100763
Funder
Australian Research Council
Funding Amount
$403,300.00
Summary
Multiscale modelling of fluid–particle transport in porous media. The aim is to use a multiscale approach to rigorously model fluid–particle transport in porous media – a fundamental process in many engineering problems. With advanced parallel-computing tools, a microscale model is developed to incorporate interacting grains, water, and particles. The model and innovative upscaling methods will transform our understanding of mechanisms, and allow development of predictive models for particle tra ....Multiscale modelling of fluid–particle transport in porous media. The aim is to use a multiscale approach to rigorously model fluid–particle transport in porous media – a fundamental process in many engineering problems. With advanced parallel-computing tools, a microscale model is developed to incorporate interacting grains, water, and particles. The model and innovative upscaling methods will transform our understanding of mechanisms, and allow development of predictive models for particle transport in both steady and unsteady porous flows. The fundamental knowledge and new-generation numerical models will support technological advances to directly benefit rail and road construction and their maintenance, fuel and renewable-energy extraction, coastal soil and water protection, and bushfire control.Read moreRead less
Safety in the Heavy Vehicle Industry: A Collaborative Response. The management and regulation of heavy vehicles, particularly in relation to safety, is recognised as an urgent issue at all levels of government across Australia. In the absence of research that identifies the key determinants of heavy vehicle crashes, countermeasures will continue to be based on anecdote. The proposed study will determine the role key risk factors, namely scheduling and sleep-related factors, play in heavy vehicl ....Safety in the Heavy Vehicle Industry: A Collaborative Response. The management and regulation of heavy vehicles, particularly in relation to safety, is recognised as an urgent issue at all levels of government across Australia. In the absence of research that identifies the key determinants of heavy vehicle crashes, countermeasures will continue to be based on anecdote. The proposed study will determine the role key risk factors, namely scheduling and sleep-related factors, play in heavy vehicle crashes and will identify cost-effective strategies to reduce the growing economic burden associated with these crashes.Read moreRead less
Evaluation of train driver work culture and environment for improving railway safety. This innovative research intersects the fields of neurosciences, computer science and engineering, leading to application of new knowledge for developing intelligent train driver systems for improving transport safety. Such research will place Australia at the forefront of this area. Reducing train related accidents will positively impact on the socio economic fabric of society by reducing the emotional and fin ....Evaluation of train driver work culture and environment for improving railway safety. This innovative research intersects the fields of neurosciences, computer science and engineering, leading to application of new knowledge for developing intelligent train driver systems for improving transport safety. Such research will place Australia at the forefront of this area. Reducing train related accidents will positively impact on the socio economic fabric of society by reducing the emotional and financial burden to the community. The research has the potential to lead to substantial revenue generation in Australia in the future. The data obtained will provide new knowledge and information to transport and Government authorities.Read moreRead less