Anisotropic behaviour of natural soft soils. This project aims to improve current engineering analysis methods, which often fail to predict the performance of infrastructure built on natural soft soils. This project expects to develop a theoretical and mathematical framework to describe the response of soft soils to complex loading patterns imposed by transport and energy infrastructure. This will be informed by advanced laboratory experiments that transcend the capabilities of routine testing m ....Anisotropic behaviour of natural soft soils. This project aims to improve current engineering analysis methods, which often fail to predict the performance of infrastructure built on natural soft soils. This project expects to develop a theoretical and mathematical framework to describe the response of soft soils to complex loading patterns imposed by transport and energy infrastructure. This will be informed by advanced laboratory experiments that transcend the capabilities of routine testing methods. The expected outcome of the project is a series of tools for the engineering analysis of earthworks and foundations built on soft soils that will underpin the construction of civil infrastructure on ground often too poor to be considered for other use.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
Novel test and design methods for base course reinforced flexible pavements. This project aims to develop the mechanics of geosynthetic-reinforced flexible pavements as an urgent need for the Australian pavement industry to build more sustainable and economical roads. Novel laboratory test apparatus and in-situ test programs, and mathematical models will be developed, for the first time, to capture the responses of reinforced base courses in a complete and optimised way to determine the paramete ....Novel test and design methods for base course reinforced flexible pavements. This project aims to develop the mechanics of geosynthetic-reinforced flexible pavements as an urgent need for the Australian pavement industry to build more sustainable and economical roads. Novel laboratory test apparatus and in-situ test programs, and mathematical models will be developed, for the first time, to capture the responses of reinforced base courses in a complete and optimised way to determine the parameters for pavement design and performance evaluation. The outcomes will enable reliable prediction of reinforced pavement behaviour, leading to better-performing geosynthetic products and more resilient pavements, reduced material usage and damage in pavements, and less environmental impact and maintenance cost.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
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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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
Real-time bridge performance evaluation based on crowdsourcing and learning. This project aims to develop a novel strategy utilizing the real-time measurements from moving vehicles and bridges for evaluating the safety and operational performance of bridges based on transfer learning and vehicle-bridge interaction model. This is the first essential study on integrating the bridge-moving load models with transfer learning to extract common knowledge from simulation experiments to support the asse ....Real-time bridge performance evaluation based on crowdsourcing and learning. This project aims to develop a novel strategy utilizing the real-time measurements from moving vehicles and bridges for evaluating the safety and operational performance of bridges based on transfer learning and vehicle-bridge interaction model. This is the first essential study on integrating the bridge-moving load models with transfer learning to extract common knowledge from simulation experiments to support the assessment of damaged status in practice. The project will provide an engineer-friendly low cost monitoring system for its deployment, management and maintenance of existing transport infrastructure. The innovative techniques developed enable the safe operation and reliable evaluation and maintenance of transport infrastructure.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