A method and work flow for quantifying Rock Burst in 4D

Gottsbacher, L. (Contributor), Fritz Zobl (Contributor), Robert Marschallinger (Speaker), Klammer, A. (Contributor), Schubert, W. (Contributor), Richard Ketcham (Contributor), David Edey (Contributor), Peter Hofmann (Contributor)

Activity: Talk or presentationTalk at conference or symposiumScience to science

Description

Geophysical Research AbstractsVol. 21, EGU2019-17048, 2019EGU General Assembly 2019© Author(s) 2019.A method and work flow for quantifying Rock Burst in 4DRobert Marschallinger (1), Peter Hofmann (1), Fritz Zobl (1), Richard Ketcham (2), Dave Edey (2), LukasGottsbacher (3), Angelika Klammer (3), and Wulf Schubert (3)(1) Department of Geoinformatics Z_GIS, Univ. Salzburg, Austria, (2) Department of Geological Sciences, Jackson School ofGeosciences, Univ. Texas, USA, (3) Department of Rock Mechanics and Tunneling, Techn. Univ. Graz, AustriaA better understanding of the rock burst process is highly important in deep tunneling and mining, as this typeof rock failure occurs abruptly and releases devastating amounts of energy. To quantify the rock burst process in4D (i.e. space and time), a novel work flow comprising rock mechanics testing, destructive and non-destructivedata acquisition and analysis methods has been established. The core of the work flow is a cycle of uniaxial com-pression of sample cylinders and data acquisition. Each cycle increases loading, controlled by acoustic emissiontesting to record timing and approximate 3D location of newly created cracks. Data acquisition is performed by acombination of non-destructive and destructive methods: high-resolution micro-computed tomography is used toregister cracks with sizes down to several microns in 3D, photomicrographs are acquired from petrographic thinsections to investigate vulnerability of mineral types to cracking. Acquired 2D and 3D data are processed by ObjectBased Image Analysis to provide spatial statistics on shapes and configurations of cracks and the interactions withdifferent mineral types.
Period9 Apr 2019
Held atEGU General Assembly 2019
Event typeConference
LocationWien, Austria

Keywords

  • Rock Burst
  • Micro CT Scanning
  • Object Based Image Analysis