DFN (Generator)
This DFN suite allows you to generate Discrete Fracture Network (DFN) parameters from your structural data and calibrate the DFN parameters with your sampling data. There are also built-in tools to synthetically sample your DFN to assess how well calibrated your DFN parameters are.
Needs the Rock Mass Data suite to work
Data
- Structural raw data such as joint orientation, joint persistence, and joint spacing for each joint set. This could come from:
- Scanline
- Borehole logging + mapping (for trace length)
- Systematic mapping
Key Learning Process
- Use the structural data from the Rock Mass Data suite to derive DFN input parameters
- Calibration of the DFN input parameters with joint sampling data
- Export generated DFN joints
- Tools to synthetically sample a DFN to better quantify how accurate the calibration is
Authors
Principal author: Matthew Heinsen Egan
Other contributors: Johan Wesseloo
Development support: Initially developed under the GSSO project https://acg.uwa.edu.au/gsso-project/
Citation
Heinsen Egan, 2022, mXrap software app, DFN app, Australian Centre for Geomechanics, Perth, mxrap.com
Further Resources
Publications
Orlando Malliquinga Cocha, Edwin (2024). Probabilistic Stability Assessment of Underground Mining Structures Through Discrete Fracture Network Modelling: A Case Study in Western Australia, Master Thesis, Curtin University
FAQ
I don’t have any trace length data, can I still use this app?
It is possible to use geotechnical knowledge to approximate the DFN inputs. Therefore, it is possible to generate DFN. However, the calibration process will not be possible, since the calibration used the raw collected data and compare it to the sampled DFN to adjust the input parameters.