Professors Antoinette Tordesillas and Robin Batterham led the work over five years to develop and test the model SSSAFE (Spatiotemporal Slope Stability Analytics for Failure Estimation), which ...
Landslides are notoriously difficult to predict because numerous spatially and temporally varying factors contribute to slope stability. Artificial neural networks (ANN) have been shown to improve ...
Slope collapse is a critical hazard in open-pit mines as it can be of any scale, small or large, and directly affect people, equipment, and production processes (Fig. 1). Therefore, analysis and ...
Researchers hope industry and governments worldwide will use the SSSAFE model to help early warning systems mitigate landslide risks A mathematical model which can predict landslides that occur ...
A mathematical model which can predict landslides that occur unexpectantly has been developed by two University of Melbourne scientists, with colleagues from GroundProbe-Orica and the University of ...
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