Discovery Early Career Researcher Award - Grant ID: DE170101502
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Life cycle assessment of greenhouse gas emissions for road infrastructure. This project aims to develop an assessment model to accurately measure greenhouse gas emissions that roads generate over their life cycle. The project will integrate recent methodological developments and practical advances from road construction and maintenance into its proposed assessment model. The expected outcome will be an assessment model and mapping tool which will visualise emissions levels and better map these e ....Life cycle assessment of greenhouse gas emissions for road infrastructure. This project aims to develop an assessment model to accurately measure greenhouse gas emissions that roads generate over their life cycle. The project will integrate recent methodological developments and practical advances from road construction and maintenance into its proposed assessment model. The expected outcome will be an assessment model and mapping tool which will visualise emissions levels and better map these emissions into the cost-benefit analysis of roads. This will make greenhouse gas reduction more effective and cheaper, and make the Australian infrastructure sector more competitive.Read moreRead less
Modelling and testing corroding reinforced concrete structures. The project aims to develop models and methods to enable the early detection of active steel corrosion. Most of Australia’s critical infrastructure is located on or near the coast in high saline conditions and is exposed to a high risk of reinforcing steel corrosion. Our ability to design and monitor such structures is crucial. The first part of the project aims to develop an innovative finite element model to improve the prediction ....Modelling and testing corroding reinforced concrete structures. The project aims to develop models and methods to enable the early detection of active steel corrosion. Most of Australia’s critical infrastructure is located on or near the coast in high saline conditions and is exposed to a high risk of reinforcing steel corrosion. Our ability to design and monitor such structures is crucial. The first part of the project aims to develop an innovative finite element model to improve the prediction of both active steel reinforcement corrosion and the time to concrete cracking in a chloride environment. It then plans to develop a non-destructive method, combining ultrasonic waves-based technology and acoustic emission, to detect active steel corrosion before any damage is visible on the structure.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
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.
Read moreRead less
Accelerating Consolidation and Closure of Mine Tailings Storage Facilities. All mining operations involve the production of waste. Many regard such waste (tailings) and their environmentally acceptable storage as constituting the largest waste problem on Earth because of the enormous damage and loss-of-life that have resulted from failures of tailings storage facilities. This project focuses on a dewatering technology, electro-osmosis (EO), which has yet to be fully operationalised, for improvin ....Accelerating Consolidation and Closure of Mine Tailings Storage Facilities. All mining operations involve the production of waste. Many regard such waste (tailings) and their environmentally acceptable storage as constituting the largest waste problem on Earth because of the enormous damage and loss-of-life that have resulted from failures of tailings storage facilities. This project focuses on a dewatering technology, electro-osmosis (EO), which has yet to be fully operationalised, for improving the strength, stability and settlement characteristics of the tailings. Sophisticated testing will be undertaken at three scales (lab, meso and, most importantly, field), as well as the development of generic numerical models, to create practical guidelines to facilitate the implementation of EO in mines around the world.Read moreRead less
Smart transformation of transport asset management through semantic web. This project aims to develop a novel asset management information model to improve the overall effectiveness of decision making in transport asset management. The project intends to provide logical formalisms and semantic features to value-adding asset information in key asset management areas. The expected outcome will be a new value-based asset management information model which provides semantically enriched asset inform ....Smart transformation of transport asset management through semantic web. This project aims to develop a novel asset management information model to improve the overall effectiveness of decision making in transport asset management. The project intends to provide logical formalisms and semantic features to value-adding asset information in key asset management areas. The expected outcome will be a new value-based asset management information model which provides semantically enriched asset information for decision-making concerning transport asset management. This will help reduce the cost, duration and effort required to acquire relevant asset information and improve the quality and data availability of current transport asset management systems.Read moreRead less
Future Proofing Transportation Infrastructure Assets. This project seeks to develop a model to predict construction project overruns. Transportation infrastructure assets are prone to cost and schedule overruns during their construction, which have negative impacts on asset owners and users. This project aims to develop a systemic model that can be used to determine the causal nature of cost and schedule overruns and their probability of occurrence. By enabling the predication of overruns, the p ....Future Proofing Transportation Infrastructure Assets. This project seeks to develop a model to predict construction project overruns. Transportation infrastructure assets are prone to cost and schedule overruns during their construction, which have negative impacts on asset owners and users. This project aims to develop a systemic model that can be used to determine the causal nature of cost and schedule overruns and their probability of occurrence. By enabling the predication of overruns, the project aims to ensure that the public and private sector are able to put in place mitigation strategies to reduce the impact of the economic and productivity issues that arise due to overruns.Read moreRead less
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
Evaluating potential static liquefaction of tailings to prevent failures. This project aims to reduce risk in the mining industry from failing mine tailings by producing a methodology for predicting the susceptibility of these tailings to static liquefaction. The impact of a mine tailing failure is catastrophic to the downstream community. The project brings together a number of industry partners committed to assisting with verification and adoption of characterisation and designed tools develop ....Evaluating potential static liquefaction of tailings to prevent failures. This project aims to reduce risk in the mining industry from failing mine tailings by producing a methodology for predicting the susceptibility of these tailings to static liquefaction. The impact of a mine tailing failure is catastrophic to the downstream community. The project brings together a number of industry partners committed to assisting with verification and adoption of characterisation and designed tools development in this project. This proposal will integrate results from laboratory element, centrifuge and calibration chamber tests with numerical modelling and in-situ tests to produce a methodology for predicting the susceptibility to static liquefaction.Read moreRead less
Improving road network operations under non-recurrent events. This project aims to develop an innovative approach for improving Road Network Operations (RNO) under non-recurrent events through analysis of big data and images. The outcomes of this project can not only improve the mobility of people, but also provide improved safety outcomes for all users of the transport network. It will help optimise traffic control strategies and traffic designs, reduce the maintenance cost for road infrastruc ....Improving road network operations under non-recurrent events. This project aims to develop an innovative approach for improving Road Network Operations (RNO) under non-recurrent events through analysis of big data and images. The outcomes of this project can not only improve the mobility of people, but also provide improved safety outcomes for all users of the transport network. It will help optimise traffic control strategies and traffic designs, reduce the maintenance cost for road infrastructure and improve quality of life.Read moreRead less