Discrete Fracture Network (DFN) application in rock slope engineering

This project is a collaborative endeavour between Rocscience Inc. and Dr. Mitri’s research group at McGill University. Rocscience is a leading firm specializing in the development of geotechnical engineering software. The project aims to validate the discrete fracture network modelling (DFN) approach as a tool for rock slope stability design/ analysis in civil and mining engineering. Data of known slope failures – road cuts and open pit mine slopes – will be collected and analyzed with traditional methods as well with DFN methods. A comparison of the predictions will serve to validate the DFN and reveal its limitations, if any. The project will train a Master of Science Student in Mining Engineering.

Faculty Supervisor:

Hani Mitri

Student:

Partner:

Rocscience Inc

Discipline:

Engineering

Sector:

Mining; Professional, scientific and technical services

University:

McGill University

Program: