Driven by the need for safer geotechnical design, MoFrac implements methods developed by R. Mohan Srivastava to create DFNs well-suited to both civil and mining applications.
Aligned with the philosophy of ‘using more of what we know’, MoFrac models are guided by rules and constrained by data. The rules come from geology, geostatistics and geotechnical considerations. The data can come from surface or underground mapping, remote sensing, core logging and/or borehole imaging tools. MoFrac models can range from the metre scale typical of underground tunnels and pillars, to the kilometre scale of regional studies supported by aerial photography. DFNs generated by MoFrac have been validated in case studies using field observations.
MoFrac is an extensible platform for geotechnical engineers and researchers. Users can integrate MoFrac with their custom or commercial software applications using the Python scripting language. A team of geomechanics researchers and software developers at MIRARCO Mining Innovation is available for
assisting with application, integration or customization of the software.
For advanced users, custom fracture group properties can be governed by plug-ins, allowing for control over distributions and strategies for intensity, orientation and undulation.