The mining industry is rapidly moving into new and potentially much higher risk environments. For example, deep mining is expected to occur at much greater depths than present (>1000m and even approaching 5000m). During the underground excavation at such depths, more and more geological disasters may occur more easily because the resource body characteristics and rock mass response are much more complicated in higher stress regimes and/or fractured/fault zones. Zhiting Han's research project aims to apply and continue developing the existing PANDAS computational model and software platform to provide a numerical understanding of the issues related to deep mining, especially in fault zones.

Advisors:  Dr Huilin Xing, Dr Xun Luo

Project members

Zhiting HAN

PhD candidate - Awarded 2018