Risk Management – Major Cave Hazards and the Application of Machine Learning to Id Hazards

Course Content

1 – Risk Management Introduction
2 – Geotechnical Risks in Cave Mines and Their Causes
3 – Preventative and Mitigation Controls
4 – Critical control design and operating effectiveness
5 – Trigger Action Response Plans (TARPs)
6 – Risk Impacts and Consequences
7 – Introduction to Machine Learning
8 – Data-Driven versus Knowledge-Driven Approaches
9 – Understanding Patterns in Data
10 – Operationalisation of Geotechnical Risk Concepts for Machine Learning
11 – Survey of Machine Learning in Geotechnical Applications
12 – Applications to Rock Mass Characterisation
13 – Applications to Geotechnical Hazard Prediction
14 – Workflow Overview & Site-Specific Quantification of Hazard Inputs
15 – Feature Engineering
16 – Case Study Back Analyses
17 – Interpretation of Machine Learning Results
18 – Types of Machine Learning: Weights of Evidence in Practice