Abstract
The failure hazard rock burst is very dangerous as it can occur very suddenly and violent-ly. Due to the fact, that tunnel and mining projects are in deeper areas than ever, the im-portance of investigating this hazard is more relevant than ever.
The Graz University of Technology and the University of Salzburg are investigating rock burst with different laboratory tests to learn more about it. The test methods are uniaxial compression tests, acoustic emission tests, micro computed tomography and object based image analysis of thin sections of rock samples.
To simulate the high stress state of rock that is prone to rock burst, stress close to the failure stress is applied on the rock samples. Simultaneously, the acoustic emissions in the sample are measured to investigate acoustic events in the sample, which are generated by micro cracks. After that, µCT-scans of the loaded samples are performed to create 3D im-ages of the micro-cracks in the rock sample. Subsequently thin sections are made from the samples for an object based image analysis.
To evaluate the results various methods are used, from newly developed MATLAB codes to pattern recognition software to analyze the data. The findings allow a better un-derstanding of the underlying mechanism of rock burst and indicate the usefulness of var-ious testing methods to investigate the hazard.
The Graz University of Technology and the University of Salzburg are investigating rock burst with different laboratory tests to learn more about it. The test methods are uniaxial compression tests, acoustic emission tests, micro computed tomography and object based image analysis of thin sections of rock samples.
To simulate the high stress state of rock that is prone to rock burst, stress close to the failure stress is applied on the rock samples. Simultaneously, the acoustic emissions in the sample are measured to investigate acoustic events in the sample, which are generated by micro cracks. After that, µCT-scans of the loaded samples are performed to create 3D im-ages of the micro-cracks in the rock sample. Subsequently thin sections are made from the samples for an object based image analysis.
To evaluate the results various methods are used, from newly developed MATLAB codes to pattern recognition software to analyze the data. The findings allow a better un-derstanding of the underlying mechanism of rock burst and indicate the usefulness of var-ious testing methods to investigate the hazard.
| Original language | English |
|---|---|
| Title of host publication | Rock Mechanics for Natural Resources and Infrastructure Development - Full Papers |
| Subtitle of host publication | Proceedings of the 14th International Congress on Rock Mechanics and Rock Engineering (ISRM 2019), September 13-18, 2019, Foz do Iguassu, Brazil |
| Editors | Sergio A.B. da Fontoura, Ricardo Jose Rocca, Jose Pavon Mendoza |
| Publisher | CRC Press |
| Pages | 1700 - 1706 |
| Number of pages | 6 |
| Volume | 1 |
| ISBN (Electronic) | 1000758370, 9781000758375 |
| Publication status | Published - 3 Sept 2019 |
Keywords
- Rock burst
- Acoustic Emission
- tunnelling