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
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
Hydrogen carbon waste into concrete: AI assisted nanoscience approach. The carbon waste from hydrogen production will be converted into carbon nanosheets on abundant construction materials for the creation of stronger and more durable concrete. Cutting-edge nanoscience-based experiments, as well as sophisticated modelling techniques including machine learning and finite element modelling, will be employed. The findings will drive advances in clean hydrogen production, carbon waste utilisation, c ....Hydrogen carbon waste into concrete: AI assisted nanoscience approach. The carbon waste from hydrogen production will be converted into carbon nanosheets on abundant construction materials for the creation of stronger and more durable concrete. Cutting-edge nanoscience-based experiments, as well as sophisticated modelling techniques including machine learning and finite element modelling, will be employed. The findings will drive advances in clean hydrogen production, carbon waste utilisation, cement hydration, nanotechnology and concrete technology for the next generation of an upskilled workforce and the promotion of a circular economy. This project will be carried out in collaboration with Australian and international renowned experts in computational modelling, nanomaterials and concrete materials.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.
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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
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
Novel multiple-constraint model for green buildings and life-cycle analyses. This project aims to develop a multiple-constraint automation model to perform life-cycle analyses for projects in the Australian construction industry. The model will optimise construction methods for green-building implementation and offer a realistic approach to Green-star status achievement. The Life-cycle model analyses for cost, greenhouse-gas emissions and energy consumption allowing the construction methods to b ....Novel multiple-constraint model for green buildings and life-cycle analyses. This project aims to develop a multiple-constraint automation model to perform life-cycle analyses for projects in the Australian construction industry. The model will optimise construction methods for green-building implementation and offer a realistic approach to Green-star status achievement. The Life-cycle model analyses for cost, greenhouse-gas emissions and energy consumption allowing the construction methods to be optimised for minimum environmental impact. Utilisation of the model should significantly shape an organisations’ strategic planning, while a recognised high Green-star status from Green Building Council of Australia will improve their reputation and bring benefits to the construction industry.Read moreRead less
AI Assisted Probabilistic Structural Health Monitoring with Uncertain Data. This project aims to develop an advanced Artificial Intelligence (AI) assisted probabilistic structural health monitoring approach for civil engineering structures. The developed approach applies novel deep learning techniques with a large amount of data measured from uncertain and complex environment, for reliable structural condition monitoring and performance prediction. This project expects to make a step change in d ....AI Assisted Probabilistic Structural Health Monitoring with Uncertain Data. This project aims to develop an advanced Artificial Intelligence (AI) assisted probabilistic structural health monitoring approach for civil engineering structures. The developed approach applies novel deep learning techniques with a large amount of data measured from uncertain and complex environment, for reliable structural condition monitoring and performance prediction. This project expects to make a step change in data mining and interpretation. Expected outcomes of the project include novel AI assisted approaches to conduct probabilistic structural condition monitoring with sensitive features and future structural performance prediction. This will provide significant benefits to infrastructure asset owners to reduce maintenance costs.Read moreRead less
Geopolymer concrete for thin-walled structures in marine environment. This project aims to develop ultra-high performance geopolymer concrete thin-walled structures for the critical infrastructure in the marine environment. It is expected that this project will develop novel design rules for ultra-high performance geopolymer concrete thin-walled structures based on experimental testing, numerical modelling, validation, and simulation. This project is expected to increase the durability of coasta ....Geopolymer concrete for thin-walled structures in marine environment. This project aims to develop ultra-high performance geopolymer concrete thin-walled structures for the critical infrastructure in the marine environment. It is expected that this project will develop novel design rules for ultra-high performance geopolymer concrete thin-walled structures based on experimental testing, numerical modelling, validation, and simulation. This project is expected to increase the durability of coastal infrastructures and significantly reduce the loss of their capacities due to corrosion-induced damage. The development of ultra-high performance geopolymer concrete thin-walled structures is a significant engineering discovery, which is in line with the Australian government 2030 vision for sustainable development.Read moreRead less