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Australian State/Territory : QLD
Research Topic : Road Safety
Field of Research : Structural Engineering
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  • Funded Activity

    Linkage Projects - Grant ID: LP0883807

    Funder
    Australian Research Council
    Funding Amount
    $423,585.00
    Summary
    Artificial Intelligence Based Deterioration Model for Development of Bridge Network Maintenance Strategy. The proposed AI-based methodology in conjunction with a Bridge Management System can tailor-make bridge deterioration models for a given bridge authority. The models so produced will enable effective BMS implementation which generates missing inspection records of past years, establishes optimal MR&R strategies and then reliably forecasts future bridge condition ratings. The methodology will .... Artificial Intelligence Based Deterioration Model for Development of Bridge Network Maintenance Strategy. The proposed AI-based methodology in conjunction with a Bridge Management System can tailor-make bridge deterioration models for a given bridge authority. The models so produced will enable effective BMS implementation which generates missing inspection records of past years, establishes optimal MR&R strategies and then reliably forecasts future bridge condition ratings. The methodology will be verified using available bridge datasets of QDMR and GCCC. The methodology is applicable to other bridge authorities throughout Australia and internationally to maintain ageing bridge stock.
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    Active Funded Activity

    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.
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    Funded Activity

    Discovery Projects - Grant ID: DP160101764

    Funder
    Australian Research Council
    Funding Amount
    $360,000.00
    Summary
    Development of Intelligent Structures that can Self-evaluate Deterioration. This project aims to transform traditional civil structures into smart structures that can accurately identify current and future structural deterioration conditions and automatically notify the infrastructure management authority for timely maintenance. Civil structures deteriorate over their long life spans. Currently, we have no effective method to identify when deterioration has reached the point where maintenance is .... Development of Intelligent Structures that can Self-evaluate Deterioration. This project aims to transform traditional civil structures into smart structures that can accurately identify current and future structural deterioration conditions and automatically notify the infrastructure management authority for timely maintenance. Civil structures deteriorate over their long life spans. Currently, we have no effective method to identify when deterioration has reached the point where maintenance is required. The project plans to develop innovative structural deterioration evaluation systems using output-only vibration data and versatile optimisation algorithms to enable long-term deterioration assessment and maintenance management even under demanding operating conditions. These could be used with both conventional data acquisition systems and modern monitoring systems with smart wireless sensors. Expected project outcomes will enhance structural safety and maintenance efficiency.
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    Funded Activity

    Discovery Projects - Grant ID: DP140102132

    Funder
    Australian Research Council
    Funding Amount
    $456,493.00
    Summary
    Thermal Upheaval Buckling of Functionally Graded Pavement Slabs. Upheaval buckling or blowup of concrete pavements due to high environment temperature is a serious problem in transportation infrastructure which quite often leads to road failure or even traffic hazards. The proposed project presents a combined theoretical, numerical and experimental investigation on the effective enhancement of thermal buckling capacity of pavement slabs with or without initial imperfection by using light and gre .... Thermal Upheaval Buckling of Functionally Graded Pavement Slabs. Upheaval buckling or blowup of concrete pavements due to high environment temperature is a serious problem in transportation infrastructure which quite often leads to road failure or even traffic hazards. The proposed project presents a combined theoretical, numerical and experimental investigation on the effective enhancement of thermal buckling capacity of pavement slabs with or without initial imperfection by using light and green functionally graded concrete materials with reduced usage of plain Portland cements for less carbon dioxide emissions. The research outcomes will contribute significantly to the society by offering a novel environmental friendly pavement solution with greatly improved road safety.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP180103160

    Funder
    Australian Research Council
    Funding Amount
    $241,590.00
    Summary
    Early-age cracking in concrete structures: mechanisms and control. This project aims to generate a comprehensive set of reliable data to examine all key factors governing the risk of early-age cracking in concrete structures, including a novel concept concerning zero-stress temperature. Expected outcomes include improved models for fundamental concrete properties from very early ages and tensile stresses due to restrained deformation accumulated from early stage, as well as guidelines for effect .... Early-age cracking in concrete structures: mechanisms and control. This project aims to generate a comprehensive set of reliable data to examine all key factors governing the risk of early-age cracking in concrete structures, including a novel concept concerning zero-stress temperature. Expected outcomes include improved models for fundamental concrete properties from very early ages and tensile stresses due to restrained deformation accumulated from early stage, as well as guidelines for effective crack control in concrete structures. It is expected these guidelines will enable significant cost savings and a more sustainable construction industry.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP220103362

    Funder
    Australian Research Council
    Funding Amount
    $224,000.00
    Summary
    Coupled effects of stress and temperature changes on concrete structures. The coupled effects of stress and temperature changes that concrete structures are commonly subject to are significant and need to be properly accounted for. However, existing engineering models accounting for these effects remain essentially empirical, necessarily limiting their predictive capability. This research aims to examine such coupled effects using an innovative approach combining original physical-based analytic .... Coupled effects of stress and temperature changes on concrete structures. The coupled effects of stress and temperature changes that concrete structures are commonly subject to are significant and need to be properly accounted for. However, existing engineering models accounting for these effects remain essentially empirical, necessarily limiting their predictive capability. This research aims to examine such coupled effects using an innovative approach combining original physical-based analytical study with novel tests and advanced numerical work. Expected outcomes include a robust yet simple engineering model, and guidelines for rational design of structures (incl. concrete spalling in fire) with due account for such coupled effects, thereby enabling to achieve more robust structures at substantial cost saving.
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    Funded Activity

    Discovery Projects - Grant ID: DP150102354

    Funder
    Australian Research Council
    Funding Amount
    $286,300.00
    Summary
    Fire performance of concrete using novel fire testing. Thermal loading experienced by concrete samples in conventional tests cannot be accurately and independently controlled. This project, through using a novel thermal loading technique, aims to re-examine the performance of concrete in fire. By establishing the heat-flux as a parameter of study, concrete performance under a wide range of fire conditions is expected to be better quantified, eventually leading to a reliable performance-based des .... Fire performance of concrete using novel fire testing. Thermal loading experienced by concrete samples in conventional tests cannot be accurately and independently controlled. This project, through using a novel thermal loading technique, aims to re-examine the performance of concrete in fire. By establishing the heat-flux as a parameter of study, concrete performance under a wide range of fire conditions is expected to be better quantified, eventually leading to a reliable performance-based design of concrete structures. Expected outcomes include improved understanding of concrete performance under combined fire and other loadings, appropriate mathematical models for fundamental concrete properties and constitutive relations, and design recommendations for concrete performance under real fire exposures.
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    Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100089

    Funder
    Australian Research Council
    Funding Amount
    $500,000.00
    Summary
    Performance level structural testing facility. A structural testing facility is proposed for the new Advanced Engineering Building at The University of Queensland. The focus of the research supported by this facility will ensure the functionality of Australia’s infrastructure resources and the development of new engineering solutions that will enhance the country’s long-term economic growth.
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    Showing 1-8 of 8 Funded Activites

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