This website uses cookies to enhance browsing experience. Read below to see what cookies we recommend using and choose which to allow.
By clicking Accept All, you'll allow use of all our cookies in terms of our Privacy Notice.
Essential Cookies
Analytics Cookies
Marketing Cookies
Essential Cookies
Analytics Cookies
Marketing Cookies
The ability to represent these small-scale fabrics has improved markedly, with tools to generate larger and more representative input datasets and to accurately model and represent them.
Presented as a case study, learn how these tools support a better understanding of the rock mass behaviour and more accurately define design domains. Models also become easily updateable and more reliable through a constant verification/prediction loop.
See the presentation at MassMin 2020 about a method for geotechnical risk-based design under high stress conditions considering tridimensional numerical modelling and probabilistic methods of analysis to determine the probability of pillars failure.
Watch Video