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Assessment of Strain Energy Storage and Rock Brittleness Indices of Rockburst Potential from Microfabric Characterizations
Current Issue
Volume 2, 2015
Issue 1 (January)
Pages: 8-14   |   Vol. 2, No. 1, January 2015   |   Follow on         
Paper in PDF Downloads: 62   Since Aug. 28, 2015 Views: 2536   Since Aug. 28, 2015
Authors
[1]
Zhao Zhiming, Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China.
[2]
Esamaldeen Ali, Department of Geology, Faculty of Petroleum and Minerals, Al Neelain University, Khartoum, Sudan.
[3]
Wu Guang, Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China.
[4]
Wang Xihua, School of Resources and Environment, Southwest Petroleum University, Chengdu, China.
Abstract
Rockburst is one of the most crucial problems for the feasibility studies of underground excavation such as tunnel projects. However, direct standard methods for measuring rock burst potential indices such as Strain energy storage index (WET) and criterion of rock brittleness (B) are nearly difficult and need high sophisticated equipment. Therefore, in this study, an attempt was made to indirectly calculated as a function of microfabric characteristics such as quartz percentage and grain size by using simple regression statistical model. A dataset established by utilizing the relevant laboratory tests and petrographic image analysis on the rock samples assembled from pen Yin La and Ming Jiong tunnel along the La Ri railway, China. The results exhibit that the statistical WET and B models revealed responses with moderate to strong correlation coefficient, which proves higher potential of microfabrics analysis for predicting rock burst indices compared to traditional experimental measurements. Both rockburst indices increase with increasing percentage of quarts and grain size. It has been further been noted that in a certain tectonic setup, similar rock types with little different mineralogical composition and texture parameters might have different tendency to rock burst. This indicates that rock bursting potential is a petrographic characteristic dependent.
Keywords
Rockburst, Rock Brittleness, Microfabric, Strain Energy Storage Index, Tunnel
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