Pile foundations in unsaturated soils: a mechanistic framework. This project will develop a mechanistic approach to pile foundation design in variably saturated soils through integrated expertise in the fields of unsaturated soil mechanics, material nonlinearity, numerical modelling, limit analysis and experimental investigation. It will achieve a rigorous understanding of pile behaviour in unsaturated
soils subjected to monotonic loading through a comprehensive program of scaled laboratory test ....Pile foundations in unsaturated soils: a mechanistic framework. This project will develop a mechanistic approach to pile foundation design in variably saturated soils through integrated expertise in the fields of unsaturated soil mechanics, material nonlinearity, numerical modelling, limit analysis and experimental investigation. It will achieve a rigorous understanding of pile behaviour in unsaturated
soils subjected to monotonic loading through a comprehensive program of scaled laboratory testing, numerical and theoretical analyses. The models, theories, mechanics and predictive tools arising from this research will have direct and immediate impact on the planning, design, construction and management of many types of infrastructure involving pile foundations in industrial and residential developments.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100817
Funder
Australian Research Council
Funding Amount
$458,460.00
Summary
Predicting internal erosion in dams using real-time coupled experiments. Internal erosion causes nearly half of embankment dam failures globally. This project aims to develop a mechanics-based understanding of internal erosion to overcome the limitations of existing empirical approaches that do not capture the underlying physics. By innovatively coupling computational and physical experiments in real-time, this project expects to generate new insights that identify the factors leading to the ini ....Predicting internal erosion in dams using real-time coupled experiments. Internal erosion causes nearly half of embankment dam failures globally. This project aims to develop a mechanics-based understanding of internal erosion to overcome the limitations of existing empirical approaches that do not capture the underlying physics. By innovatively coupling computational and physical experiments in real-time, this project expects to generate new insights that identify the factors leading to the initiation and continuation of internal erosion. The expected outcome of this project is a probabilistic framework able to predict the internal erosion process. This should significantly enhance and inform the design of erosion control measures and provide a holistic risk assessment for embankment dams.Read moreRead less
Computational MultiPhysics Analysis of 3D Structural Damage and Failure. This project aims to develop advanced modelling techniques to assess quantitatively, the impacts of environmental changes caused by climate on structures. New and existing structures need to be climate-resilient to sustain more frequent and hazardous climatic actions. Attention will focus on modelling structural damage caused by extreme loads and MultiPhysics mechanisms caused by climate change. The expected outcome is a ne ....Computational MultiPhysics Analysis of 3D Structural Damage and Failure. This project aims to develop advanced modelling techniques to assess quantitatively, the impacts of environmental changes caused by climate on structures. New and existing structures need to be climate-resilient to sustain more frequent and hazardous climatic actions. Attention will focus on modelling structural damage caused by extreme loads and MultiPhysics mechanisms caused by climate change. The expected outcome is a new computational tool that will benefit Australian society by facilitating more reliable assessments of risks associated with structural damage and failure. This is significant in the design of structures where effective measures to improve functionality can be implemented to add value to an asset's life-cycle management.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
Discovery Early Career Researcher Award - Grant ID: DE230101127
Funder
Australian Research Council
Funding Amount
$443,181.00
Summary
Stabilising soil foundation with biopolymer for enhanced rail transport. This project aims to develop a novel cost-effective and eco-friendly method to stabilise soil foundation for faster and heavier rail transport. The scientific knowledge of cyclic behaviour capturing localised and microscale evolutions of railway foundation will be advanced significantly via innovative physical modelling using iconic facilities with state-of-the-art sensors, and sophisticated numerical modelling. The project ....Stabilising soil foundation with biopolymer for enhanced rail transport. This project aims to develop a novel cost-effective and eco-friendly method to stabilise soil foundation for faster and heavier rail transport. The scientific knowledge of cyclic behaviour capturing localised and microscale evolutions of railway foundation will be advanced significantly via innovative physical modelling using iconic facilities with state-of-the-art sensors, and sophisticated numerical modelling. The project will yield a natural biopolymer-based solution for mud pumping railways, i.e., a critical issue causing substantial annual maintenance cost and poor transport efficiency in Australia and worldwide. The outcomes will greatly benefit transport infrastructure, mining, agriculture, environment and climate change remediation.Read moreRead less
Experiment-numerical-virtual Generative Design for Nondeterministic Impacts. This project will establish an advanced nondeterministic design methodology to uncover the optimised material properties and 3D printed metastructural capacity in real-time against impact loading. It will develop a rigorous framework that integrates numerical simulation, experiment, and machine learning-based virtual modelling to tackle practical challenges in design and manufacture of impact-proof materials and structu ....Experiment-numerical-virtual Generative Design for Nondeterministic Impacts. This project will establish an advanced nondeterministic design methodology to uncover the optimised material properties and 3D printed metastructural capacity in real-time against impact loading. It will develop a rigorous framework that integrates numerical simulation, experiment, and machine learning-based virtual modelling to tackle practical challenges in design and manufacture of impact-proof materials and structures with intrinsic uncertainties. The generative design-calibration system unifying experimental-numerical-virtual processes will largely reduce the need for repetitive large-scale experimental tests. This project benefits civil, aerospace, automotive, and defence with competitive advantage through technological innovation.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
Unlocking self-healing bio-concrete through multiscale modelling. Self-healing bio-concrete, which uses bacteria as means to repair cracks, has the potential to revolutionise the construction industry and reduce the infrastructure repair and maintenance cost by billions of dollars annually. To unlock this, we need to understand the bacterial self-healing mechanisms for effective control of the performance. This project will develop a multiscale framework to describe the competing mechanisms betw ....Unlocking self-healing bio-concrete through multiscale modelling. Self-healing bio-concrete, which uses bacteria as means to repair cracks, has the potential to revolutionise the construction industry and reduce the infrastructure repair and maintenance cost by billions of dollars annually. To unlock this, we need to understand the bacterial self-healing mechanisms for effective control of the performance. This project will develop a multiscale framework to describe the competing mechanisms between crack widening and healing at the macro-scale, incorporated with key information of substances diffusion and bio-cementation at the meso- and micro-scales. This will enable to optimise the self-healing of bio-concrete via design–test–learn approach and enhance the durability of structures under sustained loads.Read moreRead less
Magnetorheological Elastomer Based Tuned Mass Damper. This project aims to protect buildings utilising an advanced tuned mass damper (TMD) which has characteristics of adaptability, is energy and sensor free and has negative stiffness via the integration of magnetorheological elastomers, a self-sensing self-powered element and negative stiffness technologies. This project expects to theoretically and experimentally study the performance of the TMD on structural protection from wind loads and ear ....Magnetorheological Elastomer Based Tuned Mass Damper. This project aims to protect buildings utilising an advanced tuned mass damper (TMD) which has characteristics of adaptability, is energy and sensor free and has negative stiffness via the integration of magnetorheological elastomers, a self-sensing self-powered element and negative stiffness technologies. This project expects to theoretically and experimentally study the performance of the TMD on structural protection from wind loads and earthquakes. The expected outcomes of this project will advance TMD practice and structural protection technology, and benefit the building protection industry, both domestically and globally. This will provide significant benefits to the working efficiency and safety of building occupants.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC230100015
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Training Centre for Whole Life Design of Carbon Neutral Infrastructure. This Centre aims to transform the capability of civil infrastructure stakeholders to design, construct, operate and dispose of infrastructure in a carbon neutral way. By training industry-embedded PhDs and postdocs in the methodology and technology required to design out excess carbon of infrastructure in its whole life, this Centre expects to lead the world in sustainable infrastructure design, enabling a new generation ....ARC Training Centre for Whole Life Design of Carbon Neutral Infrastructure. This Centre aims to transform the capability of civil infrastructure stakeholders to design, construct, operate and dispose of infrastructure in a carbon neutral way. By training industry-embedded PhDs and postdocs in the methodology and technology required to design out excess carbon of infrastructure in its whole life, this Centre expects to lead the world in sustainable infrastructure design, enabling a new generation of infrastructure design in Australia and internationally. Achieving carbon neutral infrastructure in its whole life will bring significant far-reaching benefits, including equipping industry with tools required to meet Australia’s emission reduction targets as well as economic, commercial, environmental, and social gains.Read moreRead less