Estimation of Rock Burst Grades Using Rock Mass Strength
Author(s): |
Yalei Wang
Jinming Xu Junshuai Xu Chuanjiang Zhong |
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Medium: | journal article |
Language(s): | English |
Published in: | Advances in Civil Engineering, January 2020, v. 2020 |
Page(s): | 1-14 |
DOI: | 10.1155/2020/2517459 |
Abstract: |
The traditional rock burst estimation method is usually based on theσc(rock strength) in practice, while the actual occurrence of rock burst depends more on the structure and strength of the rock mass. In this work, the actual rock bursts occurred in a railway tunnel project in Western China, and theσcm(rock mass strength) was calculated by the generalized Hoek–Brown criterion. According to the actual situation of rock bursts, a modified rock burst estimation criterion using the ratio ofσcmtoσmax(maximum geostress) was proposed. The influence of randomness on the reliability of rock burst estimation criterion was considered. The estimation results based on the traditional and modified method were furthermore compared with those of the actual rock bursts. The results show thatσcmcalculated by the generalized Hoek–Brown criterion may be considered well in the rock type and strength, construction condition, and structure features of the rock mass; the estimation results of rock burst using the ratio ofσctoσmaxare quite different from the actual situation, while those using the ratio of theσcmtoσmaxcoincided relatively with the actual rock bursts; the ratios ofσcmtoσmax, which are greater than 0.167, 0.066 to 0.167, 0.012 to 0.066, and less than 0.012, are corresponded to the slight, medium, strong, and violent grades of the rock bursts, respectively; the randomness of data selection has certain influence on the rock burst estimation criterion, but the variation range is small; the modified estimation criterion of rock burst proposed in this work has a good reliability. The results presented herein are important for tunnel construction and the prevention of rock burst in the high geostress areas. |
Copyright: | © 2020 Yalei Wang et al. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
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10427951 - Published on:
30/07/2020 - Last updated on:
02/06/2021