Asset Intelligence: Maximising Operational Effectiveness for Digital Era . The primary aim of this project is to develop an innovative lifecycle semantic–based decision making approach through asset intelligence so as to maximize the operational effectiveness maintenance, repair and rehabilitation planning of infrastructure assets, such as concrete pavement. The research intends to address an important gap by providing logical formalisms and real-time capability to life-cycle asset information t ....Asset Intelligence: Maximising Operational Effectiveness for Digital Era . The primary aim of this project is to develop an innovative lifecycle semantic–based decision making approach through asset intelligence so as to maximize the operational effectiveness maintenance, repair and rehabilitation planning of infrastructure assets, such as concrete pavement. The research intends to address an important gap by providing logical formalisms and real-time capability to life-cycle asset information through computational intelligence. The expected outcome will be an intelligent asset management platform that provides structured and semantically enriched lifecycle asset information for optimised solutions to help reduce the cost, time and effort in asset information storage and retrieval, and decision-making. Read moreRead less
Containment and Reduction of Rework in Transport Mega Projects. Mega transport projects (>$1 billion) are poorly managed during their construction with significant cost and schedule overruns and benefit shortfalls regularly being experienced. Having to perform rework has been identified as a major factor that contributes to these unintended consequences. As there has been limited research that has empirically examined rework causation, an inability to develop effective rework containment and red ....Containment and Reduction of Rework in Transport Mega Projects. Mega transport projects (>$1 billion) are poorly managed during their construction with significant cost and schedule overruns and benefit shortfalls regularly being experienced. Having to perform rework has been identified as a major factor that contributes to these unintended consequences. As there has been limited research that has empirically examined rework causation, an inability to develop effective rework containment and reduction strategies prevails. This research aims to develop a theoretical model that can be used to develop robust containment and reduction strategies to mitigate the adverse economic, productivity and safety consequences that materialize from performing rework during the construction of mega transport projects.Read moreRead less
The effects of cyclic loading on partially saturated soils. This project aims to predict the settlement and strength of the upper, partially saturated layer of the ground when it is subjected to cyclic loading. Most of our critical infrastructure is built on or in this layer, but currently we cannot reliably predict the ground response of partially saturated soils to the cyclic loads that arise from earthquakes, traffic and construction processes. The project is expected to develop a new numeric ....The effects of cyclic loading on partially saturated soils. This project aims to predict the settlement and strength of the upper, partially saturated layer of the ground when it is subjected to cyclic loading. Most of our critical infrastructure is built on or in this layer, but currently we cannot reliably predict the ground response of partially saturated soils to the cyclic loads that arise from earthquakes, traffic and construction processes. The project is expected to develop a new numerical model that can predict the effects of cyclic loads, and provide updated engineering guidance to ensure the integrity of infrastructure dependent on partially-saturated soils. Improved predictions of the processes involved resulting from this project will have significant economic benefits, as well as ensuring the safety and security of infrastructure and reduced maintenance costs.Read moreRead less
Structural Fuses for Safer and More Economical Bridge Construction. This project aims to develop a novel structural system leading to more economical concrete bridge construction by utilising a customised structural fuse. A significant margin of safety is required in structural design to account for accidental over-loading and to reduce the risk of structural collapse. Such a margin leads to more material usage. Incorporation of a fuse into the structure that is triggered upon over-loading will ....Structural Fuses for Safer and More Economical Bridge Construction. This project aims to develop a novel structural system leading to more economical concrete bridge construction by utilising a customised structural fuse. A significant margin of safety is required in structural design to account for accidental over-loading and to reduce the risk of structural collapse. Such a margin leads to more material usage. Incorporation of a fuse into the structure that is triggered upon over-loading will cause a safer failure mode and prohibit further increase of loading, both of which result in a reduced structure without undermining safety. The project is expected to advance structural theory, and also provide significant benefits to the construction industry via cost reduction and more eco-friendly constructions.Read moreRead less
Bridge performance assessment through advanced sensing and modelling. Bridge performance assessment through advanced sensing and modelling. This project aims to create cyber infrastructure to manage and maintain civil infrastructure, specifically bridges. Current sensor data interpretation approaches are not good at assessing the performance of civil infrastructure or evaluating the reserve capacity; in particular, they do not adequately account for high levels of systematic modelling uncertaint ....Bridge performance assessment through advanced sensing and modelling. Bridge performance assessment through advanced sensing and modelling. This project aims to create cyber infrastructure to manage and maintain civil infrastructure, specifically bridges. Current sensor data interpretation approaches are not good at assessing the performance of civil infrastructure or evaluating the reserve capacity; in particular, they do not adequately account for high levels of systematic modelling uncertainties. This project intends to ease the current scientific data interpretation bottleneck. Expected outcomes are better infrastructure management and maintenance planning, fewer redundant interventions, modified infrastructure and improved future design.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220100909
Funder
Australian Research Council
Funding Amount
$350,000.00
Summary
Innovative Soft-computing for Condition Assessment of Large Infrastructure. Health conditions of large infrastructure, such as bridges, have been difficult to determine due to their large scales, associated incomplete data and high uncertainties in measurement and system identification. This project will develop an innovative condition assessment method based on the advancements in structural dynamics analysis, multi-objective topology and soft-computing techniques, for reliably evaluating the h ....Innovative Soft-computing for Condition Assessment of Large Infrastructure. Health conditions of large infrastructure, such as bridges, have been difficult to determine due to their large scales, associated incomplete data and high uncertainties in measurement and system identification. This project will develop an innovative condition assessment method based on the advancements in structural dynamics analysis, multi-objective topology and soft-computing techniques, for reliably evaluating the health conditions of large infrastructure. The outcomes will enhance the current practices in infrastructure asset management to deliver timely retrofitting and extended life cycle. The development will provide benefits to Australia by enhancing operational efficiency and preventing catastrophic failure of infrastructure.Read moreRead less
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
The Role of Energy Absorbing Rubber Grid on Ballast Track Performance. Breakage and excessive displacement of ballast lead to instability and regular maintenance of railways. The project aims to study the fundamental mechanics of ballast aggregates interacting with the apertures of recycled-Rubber Energy Absorbing Grids (REAG). The role of REAG on enhanced track performance by damping the cyclic wheel loading and impact will be quantified via rigorous mathematical methods complementing a compute ....The Role of Energy Absorbing Rubber Grid on Ballast Track Performance. Breakage and excessive displacement of ballast lead to instability and regular maintenance of railways. The project aims to study the fundamental mechanics of ballast aggregates interacting with the apertures of recycled-Rubber Energy Absorbing Grids (REAG). The role of REAG on enhanced track performance by damping the cyclic wheel loading and impact will be quantified via rigorous mathematical methods complementing a computer-based numerical model and validated by laboratory & field data. When placed within the rail substructure REAG will enable reduced ballast movement and breakage while attenuating noise/vibration. The research outputs will facilitate improved rail track design enabling enhanced longevity and reduced cost of maintenance.Read moreRead less
Innovative Data Driven Techniques for Structural Condition Monitoring . Safe and sustainable infrastructure involves the development and application of structural monitoring and assessment techniques for condition evaluation. This project develops an innovative structure condition monitoring approach based on the emerging digital technologies on image processing, data analytics and machine learning techniques, for better infrastructure asset management under operational environment. Expected out ....Innovative Data Driven Techniques for Structural Condition Monitoring . Safe and sustainable infrastructure involves the development and application of structural monitoring and assessment techniques for condition evaluation. This project develops an innovative structure condition monitoring approach based on the emerging digital technologies on image processing, data analytics and machine learning techniques, for better infrastructure asset management under operational environment. Expected outcomes of this project enhance the capacity to conduct the operational monitoring and data interpretation to deliver the best life cycle performance of infrastructure. This project should provide significant benefits to Australia in infrastructure asset management by reducing the interruption of infrastructure operations.Read moreRead less
Condition-Based Maintenance Optimisation for Queensland’s Railways. Rail maintainers currently use time-based (scheduled) approaches to balance the costs and benefits of inspections and maintenance. Changing to condition-based maintenance has the potential to reduce costs and improve track condition. This project aims to enable this approach for rail by developing: 1) new track degradation prediction techniques combining Big Data and engineering knowledge; 2) new on-board sensing capabilities fo ....Condition-Based Maintenance Optimisation for Queensland’s Railways. Rail maintainers currently use time-based (scheduled) approaches to balance the costs and benefits of inspections and maintenance. Changing to condition-based maintenance has the potential to reduce costs and improve track condition. This project aims to enable this approach for rail by developing: 1) new track degradation prediction techniques combining Big Data and engineering knowledge; 2) new on-board sensing capabilities for frequent, low-cost track monitoring; 3) novel inspection and maintenance optimisation methods to efficiently allocate resources. The knowledge generated by this project is expected to decrease maintenance costs, safety risk, and track closures and therefore enhance the affordability and reliability of rail travel.Read moreRead less