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
Mechanics of partially saturated soils and Its applications. The project aims to study the fundamental behaviour of Australian natural soils under varying water contents and loading conditions. Some immediate applications include the design of foundations on reactive soils and the analysis of rainfall-induced landslides. In both cases, the aim is to improve the design method and hence reduce the damage cost.
Framework for a cost-effective geohazard assessment. Framework for a cost-effective geohazard assessment. This project aims to develop and validate a new, robust and cost-effective method for geotechnical hazard assessment of rock slopes. Each year in Australia, millions of dollars are spent on stabilising unstable slopes and mitigation measures to control the associated risk and avoid severe financial impacts. The proposed framework will combine a new qualitative approach for geotechnical hazar ....Framework for a cost-effective geohazard assessment. Framework for a cost-effective geohazard assessment. This project aims to develop and validate a new, robust and cost-effective method for geotechnical hazard assessment of rock slopes. Each year in Australia, millions of dollars are spent on stabilising unstable slopes and mitigation measures to control the associated risk and avoid severe financial impacts. The proposed framework will combine a new qualitative approach for geotechnical hazard assessment with accurate, efficient geo-structural surveys achieved with emerging surveying technologies. Stochastic components of slope geostructural description should minimise the surveying operations. This project is expected to reduce the cost and time of surveying geostructural features of slopes and designing mitigation measures.Read moreRead less
Modelling rolling dynamic compaction. Modelling rolling dynamic compaction. This project aims to measure the influence and efficacy of rolling dynamic compaction (RDC)—a new ground improvement technology used worldwide—in soil types using RDC modules of different shapes and weights in an experimental testing facility. It will examine authentic 1:13 scale RDC models using sophisticated testing and instrumentation embedded in the soil, and use this data to develop a model based on artificial intel ....Modelling rolling dynamic compaction. Modelling rolling dynamic compaction. This project aims to measure the influence and efficacy of rolling dynamic compaction (RDC)—a new ground improvement technology used worldwide—in soil types using RDC modules of different shapes and weights in an experimental testing facility. It will examine authentic 1:13 scale RDC models using sophisticated testing and instrumentation embedded in the soil, and use this data to develop a model based on artificial intelligence techniques that reliably predicts ground improvement using RDC in different ground conditions. This research is expected to transform the Australian and global ground improvement sector, and save hundreds of millions of dollars in land development costs and infrastructure.Read moreRead less
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
Internal erosion of soils: microstructural modelling. This project aims to make discoveries for modelling initiation, rate of progression and consequences of seepage induced internal erosion through soils which make up critical water retaining infrastructure like dams. It aims to achieve an understanding of how fundamental microstructural (particle and pore) properties governing erosion have the potential to destroy infrastructure. Major expected outcomes include experimental evidence of governi ....Internal erosion of soils: microstructural modelling. This project aims to make discoveries for modelling initiation, rate of progression and consequences of seepage induced internal erosion through soils which make up critical water retaining infrastructure like dams. It aims to achieve an understanding of how fundamental microstructural (particle and pore) properties governing erosion have the potential to destroy infrastructure. Major expected outcomes include experimental evidence of governing mechanics, theories which couple microstructure with erosion and models to describe the altered soil strength and stiffness. It aims to lead to increased safety and economic efficiencies in Australia where many tens of millions of dollars are spent each year to reduce risks associated with internal erosion.Read moreRead less
Mechanics of Hard Soils and Soft Rocks. Hard soils and soft rocks are transitional materials that have properties evolving from soft rock to soft soil. They are widespread in Australia and typical examples include mudstone, claystones, shales and tuffs. These materials are very difficult to handle, mainly due to the fact that their strength, stiffness and volume can change substantially in response to environmental actions such as cyclic wetting and drying. Proper prediction of the transitional ....Mechanics of Hard Soils and Soft Rocks. Hard soils and soft rocks are transitional materials that have properties evolving from soft rock to soft soil. They are widespread in Australia and typical examples include mudstone, claystones, shales and tuffs. These materials are very difficult to handle, mainly due to the fact that their strength, stiffness and volume can change substantially in response to environmental actions such as cyclic wetting and drying. Proper prediction of the transitional behaviour of these materials is crucially important for analysing the stability and serviceability of civil structures founded on them. This project aims to develop a theoretical and practical framework for characterising the transitional behaviour of hard soils and soft rocks.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