A Novel Surrogate Framework for evaluating THM Properties of Bentonite

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Compacted bentonite as favoured engineered barrier material is widely used in environmental geotechnics and its failure can incur huge societal, economic and environmental loss. The project aims to develop a novel surrogate model to identify the optimal controllable factors' value to increase barrier's integrity and reliability. It expects to advance the fundamental knowledge of bentonite thermo-hydro-mechanical properties through advanced molecular dynamics modelling, statistic learning and machine learning. It will deliver revolution design approach for bentonite used in engineered barriers in Australia and internationally. In the long-time it will bring huge economic, societal and environmental benefits to our community.