A new framework for large-scale dynamic geotechnical simulations. This project aims to develop an accurate and efficient simulation framework that allows the consideration of realistic discrete behaviour in geomechanical models without the computational overheads of current models. New computational methods and open-source simulation tools will be developed which will enable the efficient and accurate dynamic simulation of large-scale problems in geomechanics, problems that had formerly been int ....A new framework for large-scale dynamic geotechnical simulations. This project aims to develop an accurate and efficient simulation framework that allows the consideration of realistic discrete behaviour in geomechanical models without the computational overheads of current models. New computational methods and open-source simulation tools will be developed which will enable the efficient and accurate dynamic simulation of large-scale problems in geomechanics, problems that had formerly been intractable because of their computational size. The unique combination of discrete and continuum methods will allow the economical solution of a range of important geotechnical problems such as the accurate prediction of dynamic effects due to tunnelling, underground workings and mining activities. The outcomes will lead to safer and more economic construction methods and a more accurate assessment of the environmental effects.Read moreRead less
Modernise geotechnical investigation and analysis with machine learning. The project aims to address the ineffectiveness associated with risk analysis of geotechnical systems by reducing variabilities and by rigorously quantifying such variabilities. It is expected to generate new knowledge in machine-learning-aided risk analysis and in virtual modelling of multiphase-multiphysics-multiscale problems involving random variables. Expected outcomes are datasets and computer tools that are equipped ....Modernise geotechnical investigation and analysis with machine learning. The project aims to address the ineffectiveness associated with risk analysis of geotechnical systems by reducing variabilities and by rigorously quantifying such variabilities. It is expected to generate new knowledge in machine-learning-aided risk analysis and in virtual modelling of multiphase-multiphysics-multiscale problems involving random variables. Expected outcomes are datasets and computer tools that are equipped with new functionalities including parameter optimisation, uncertainty quantification, machine-learning based surrogate models and risk analysis. These tools will help to bridge the increasing gap between academic research and engineering practice, transform geo-risk analysis and optimise complex construction processes.Read moreRead less
Probabilistic geotechnical site characterisation. This project aims to develop new methods for integrating geophysical and geotechnical data in a statistically-rigorous framework, to reduce uncertainties in site characterisation and hence enable safer and more cost-effective designs for civil infrastructure. The project will develop new statistical methods and software for reducing uncertainties and managing risk in site characterisation. The research outcomes will not only advance the fundament ....Probabilistic geotechnical site characterisation. This project aims to develop new methods for integrating geophysical and geotechnical data in a statistically-rigorous framework, to reduce uncertainties in site characterisation and hence enable safer and more cost-effective designs for civil infrastructure. The project will develop new statistical methods and software for reducing uncertainties and managing risk in site characterisation. The research outcomes will not only advance the fundamental science in site characterisation, but also help engineers to deal with uncertainties and risk management.Read moreRead less
The pull-out capacity of a newly developed grouted soil nailing system. The project aims to develop a new reliable and efficient grouted soil nail system for improving the performance of loose soft soils. Important applications of the research include the mitigation of landslides, which pose a major threat to communities and infrastructure worldwide. Laboratory small scale experiments and numerical analyses will be carried out to optimize the grouting efficiency and enhance the pull-out resistan ....The pull-out capacity of a newly developed grouted soil nailing system. The project aims to develop a new reliable and efficient grouted soil nail system for improving the performance of loose soft soils. Important applications of the research include the mitigation of landslides, which pose a major threat to communities and infrastructure worldwide. Laboratory small scale experiments and numerical analyses will be carried out to optimize the grouting efficiency and enhance the pull-out resistance between the grout and surrounded soil in the soil nail system. This integrated project will provide a valuable tool for engineers who wish to stabilize loose fill slopes or soft grounds in Australia and worldwide.Read moreRead less
Infrastructure on reactive soils: fundamental advances and validation. This project aims to advance fundamental knowledge on the complex behaviour of reactive soils in the context of resilient geotechnical infrastructure. This research falls within the research priority “Environmental Change”, as geotechnical infrastructure need to sustain the impact of ever more frequent and more intense climatic actions. Attention will focus on the effect of suction on volume change and shear strength of react ....Infrastructure on reactive soils: fundamental advances and validation. This project aims to advance fundamental knowledge on the complex behaviour of reactive soils in the context of resilient geotechnical infrastructure. This research falls within the research priority “Environmental Change”, as geotechnical infrastructure need to sustain the impact of ever more frequent and more intense climatic actions. Attention will focus on the effect of suction on volume change and shear strength of reactive soils, two poorly understood features, and will produce a swelling model and a soil-deformable structure interaction model. After validation by a case study, the models will have the potential to empower industry to produce geotechnical infrastructure that can better sustain climatic actions.Read moreRead less
Efficient Computational Strategies for Three-Dimensional Limit Analysis. AIMS: To develop new computational methods and software for predicting the failure of civil infrastructure such as tunnels, roads, ports and foundations.
SIGNIFICANCE: Australia will spend over $200 billion over the next five years on transport and other built infrastructure. This project will formulate new methods and computer programs to underpin the geotechnical design of this infrastructure. Emphasis will be placed on ....Efficient Computational Strategies for Three-Dimensional Limit Analysis. AIMS: To develop new computational methods and software for predicting the failure of civil infrastructure such as tunnels, roads, ports and foundations.
SIGNIFICANCE: Australia will spend over $200 billion over the next five years on transport and other built infrastructure. This project will formulate new methods and computer programs to underpin the geotechnical design of this infrastructure. Emphasis will be placed on efficient computational schemes for three-dimensional problems and complex ground conditions, where current procedures are inadequate.
EXPECTED OUTCOMES AND BENEFITS: International leadership in computational methods for designing cheaper and safer infrastructure, supported by scientific publications and software.Read moreRead less
Assessment of Dynamic Pile Driving Using Machine Learning. This project aims at developing new technology to determine ground properties and foundation capacity in real-time during pile installation by adopting rigorous numerical simulation, laboratory experiments and artificial intelligence-based computational model. Although impact driving is used commonly to install piles on site, there is no technology currently available to interpret collected data accurately and in real-time to provide liv ....Assessment of Dynamic Pile Driving Using Machine Learning. This project aims at developing new technology to determine ground properties and foundation capacity in real-time during pile installation by adopting rigorous numerical simulation, laboratory experiments and artificial intelligence-based computational model. Although impact driving is used commonly to install piles on site, there is no technology currently available to interpret collected data accurately and in real-time to provide live feedback and optimise construction processes. This research will provide new machine learning model to assess the ground and foundation characteristics during construction, and will increase certainty in infrastructure investment in Australia particularly for costly transport assets and infrastructure.Read moreRead less
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
Mitigating Vehicular Crashes into Masonry Buildings . Around 2000 vehicles crash annually into school, home and shop buildings located at close proximity to heavily trafficked roads in Australia and cause significant distress to occupants of building and vehicle. The impacted walls mostly of masonry, suffer severe damage often with vehicle intrusion into the building. Despite this, the intrusion mechanism is not understood and no effective mitigation strategies exist at present. This project wi ....Mitigating Vehicular Crashes into Masonry Buildings . Around 2000 vehicles crash annually into school, home and shop buildings located at close proximity to heavily trafficked roads in Australia and cause significant distress to occupants of building and vehicle. The impacted walls mostly of masonry, suffer severe damage often with vehicle intrusion into the building. Despite this, the intrusion mechanism is not understood and no effective mitigation strategies exist at present. This project will uncover the mechanics of vehicle intrusions through masonry walls and develop novel mitigation strategies using high energy absorbing auxetic composite render and innovative vibration isolation at wall edges. These innovations will lead to new theories that can save lives in the building and vehicle.Read moreRead less
Gas Explosion Resistance of Non-Cement Based High Performance Concrete. This project aims to study gas explosion resistance of non-cement-based ultra-high performance concrete after fire hazards. Fuel gases such as natural gas and hydrogen are becoming increasingly more popular in Australia. Due to their wide flammability range, there is considerable concern about the potential fire and explosion hazard. Until now, there is limited knowledge on this topic and conventional concrete has been prove ....Gas Explosion Resistance of Non-Cement Based High Performance Concrete. This project aims to study gas explosion resistance of non-cement-based ultra-high performance concrete after fire hazards. Fuel gases such as natural gas and hydrogen are becoming increasingly more popular in Australia. Due to their wide flammability range, there is considerable concern about the potential fire and explosion hazard. Until now, there is limited knowledge on this topic and conventional concrete has been proved incapable of handling this multi-hazard scenario. The expected outcomes of this project include a detailed knowledge of multi-hazard scenario and a safety design with the non-cement-based ultra-high performance concrete. Successful delivery of this project ensures structural safety in Australia and wider community.Read moreRead less