Geomechanical Monitoring of an Underground Bulk Mining Operation using a Novel Distributed Optical Fiber Strain Sensing Method
Abstract
As Mines Continue to Deepen and Become More Expansive, Active Monitoring of Larger Volumes of Rock Mass Will Become More Critical to Calibrate Numerical Simulations and to Ensure the Safety of Underground Workers. Monitoring Larger Volumes of Rock Mass Requires Low-Cost Sensors Which Are Simple in Construction and Installation. in This Study, a Novel Hybrid Optical Fiber Cable (HOFC) Designed for Use in Distributed Optical Fiber Sensing (DOFS) Via Grouted Boreholes Was Employed to Monitor a Bulk Mining Operation in an Underground Metal Mine. the HOFC Was Successfully Used to Monitor Approximately 2.7 X 103 M3 of Rock Mass above Excavations Surrounding a Pillar Removal Area in Which Six Large Pillars Were Removed Simultaneously. a Total of Six Measurement Boreholes (Maximum Depth of 22 M) Were Used to Measure Strain Along the Optical Fiber during the Pillar Removal Operation using the HOFC, Allowing for 70 Individual Strain Measurement Points, Which Were Constructed for under One US Dollar Each. Monitoring of the Excavation Area Took Place over a 44-Day Period after Pillar Removal. Extensional Strains Were Noted in the Areas Closest to the Removed Pillars, While Areas of Compression Were Noted Directly above the Remaining Pillar in the Area. the Results of the Case Study Demonstrate that a Low-Cost Optical Fiber Strain Sensing Network Can Be Rapidly Installed in a Large Excavation Area and Can Provide Highly Sensitive Strain Measurements in a Manner that Would Be Cost-Prohibitive Via Other Methods.
Recommended Citation
S. Nowak et al., "Geomechanical Monitoring of an Underground Bulk Mining Operation using a Novel Distributed Optical Fiber Strain Sensing Method," Mining, Metallurgy and Exploration, Springer, Jan 2024.
The definitive version is available at https://doi.org/10.1007/s42461-024-00991-7
Department(s)
Mining Engineering
Second Department
Electrical and Computer Engineering
International Standard Serial Number (ISSN)
2524-3470; 2524-3462
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Springer, All rights reserved.
Publication Date
01 Jan 2024