Early Career Industry Fellowships - Grant ID: IE230100410
Funder
Australian Research Council
Funding Amount
$452,085.00
Summary
Bridging the gap between rockfall theory and engineering practice. Fragmentation is often observed post rockfall events and it is recognised as a critical aspect of adequate rockfall risk management. Yet, rockfall fragmentation is a complex phenomenon still poorly understood and not properly considered in engineering practice. This project aims at developing a theoretical and stochastic fragmentation framework, based on high-quality and comprehensive experimental data, in collaboration with lead ....Bridging the gap between rockfall theory and engineering practice. Fragmentation is often observed post rockfall events and it is recognised as a critical aspect of adequate rockfall risk management. Yet, rockfall fragmentation is a complex phenomenon still poorly understood and not properly considered in engineering practice. This project aims at developing a theoretical and stochastic fragmentation framework, based on high-quality and comprehensive experimental data, in collaboration with leading international industry partners that provide advanced geotechnical design tools to practitioners around the world. The outcomes of the project will bridge the gap between rockfall theory and engineering practice. It will allow for more cost-effective and safer design of rockfall protection structures.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100571
Funder
Australian Research Council
Funding Amount
$413,874.00
Summary
Safeguarding dams and levees from internal erosion failure. This project aims to improve the reliability and robustness of quantifying the risk of internal erosion failure in dams and levees. Existing industry approaches are reliant on judgement and experience. Using an innovative approach that integrates a variety of data sources, this project expects to objectively quantify risk based on the underlying internal erosion mechanisms. Expected outcomes include the translation of new knowledge to u ....Safeguarding dams and levees from internal erosion failure. This project aims to improve the reliability and robustness of quantifying the risk of internal erosion failure in dams and levees. Existing industry approaches are reliant on judgement and experience. Using an innovative approach that integrates a variety of data sources, this project expects to objectively quantify risk based on the underlying internal erosion mechanisms. Expected outcomes include the translation of new knowledge to update current empirical understanding, the development of models to directly assess risk, and additional data to obtain the probability of failure. This should provide significant benefits by reducing subjectivity in assessing risk and improving industry confidence in identifying susceptible assets.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