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Current Selection
Status : Active
Field of Research : Civil Engineering
Research Topic : Road Freight
Australian State/Territory : NSW
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  • Researchers (19)
  • Funded Activities (6)
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  • Active Funded Activity

    Industrial Transformation Research Hubs - Grant ID: IH180100010

    Funder
    Australian Research Council
    Funding Amount
    $4,918,357.00
    Summary
    ARC Research Hub for Smart Next Generation Transport Pavements. The ARC Research Hub for Smart Next Generation Transport Pavements aims to make road, airport and dockyard pavements smart, low cost, long-lasting, safe, green and adaptable to future transport demands. Australia’s road network, upon which the nation depends for its economic and social prosperity, is at risk due to increases in passenger and freight load degradation of the road network, and material and expertise scarcity. The Hub w .... ARC Research Hub for Smart Next Generation Transport Pavements. The ARC Research Hub for Smart Next Generation Transport Pavements aims to make road, airport and dockyard pavements smart, low cost, long-lasting, safe, green and adaptable to future transport demands. Australia’s road network, upon which the nation depends for its economic and social prosperity, is at risk due to increases in passenger and freight load degradation of the road network, and material and expertise scarcity. The Hub will deliver new materials and modelling, smart construction, and rehabilitation systems required for future demands, while enhancing road safety and reducing environmental impact.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP210101281

    Funder
    Australian Research Council
    Funding Amount
    $270,000.00
    Summary
    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.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP180100222

    Funder
    Australian Research Council
    Funding Amount
    $436,824.00
    Summary
    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.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200100631

    Funder
    Australian Research Council
    Funding Amount
    $390,000.00
    Summary
    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.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP160100528

    Funder
    Australian Research Council
    Funding Amount
    $280,000.00
    Summary
    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.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP190103645

    Funder
    Australian Research Council
    Funding Amount
    $360,000.00
    Summary
    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.
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    Showing 1-6 of 6 Funded Activites

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