A Novel Surrogate Framework for evaluating THM Properties of Bentonite

压实膨润土作为一种理想的工程防渗材料，在环境岩土工程中得到了广泛的应用，其破坏将造成巨大的社会、经济和环境损失。本计画旨在发展一种新的替代模型，以辨识最佳可控制因子的值，进而增加屏障的完整性与可靠性。它期望通过先进的分子动力学建模，统计学习和机器学习来推进膨润土热-水-力学性质的基础知识。它将为澳大利亚和国际上用于工程屏障的膨润土提供革命性的设计方法。长远而言，这将为我们的社区带来巨大的经济、社会和环境效益。

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.