Rock Burst Intensity Classification of Lhasa−Linzhi Railway Based on Stress Criterion

WU Fangyin; HE Chuan; WANG Bo; ZHANG Junbo; MENG Wei; LIU Jinsong

doi:10.3969/j.issn.0258-2724.20191167

Volume 56 Issue 4

Jul. 2021

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Journal of Southwest Jiaotong University > 2021 > 56(4): 792-800.

WU Fangyin, HE Chuan, WANG Bo, ZHANG Junbo, MENG Wei, LIU Jinsong. Rock Burst Intensity Classification of Lhasa−Linzhi Railway Based on Stress Criterion[J]. Journal of Southwest Jiaotong University, 2021, 56(4): 792-800. doi: 10.3969/j.issn.0258-2724.20191167

Citation:

WU Fangyin, HE Chuan, WANG Bo, ZHANG Junbo, MENG Wei, LIU Jinsong. Rock Burst Intensity Classification of Lhasa−Linzhi Railway Based on Stress Criterion[J]. Journal of Southwest Jiaotong University, 2021, 56(4): 792-800. doi: 10.3969/j.issn.0258-2724.20191167

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Rock Burst Intensity Classification of Lhasa−Linzhi Railway Based on Stress Criterion

doi: 10.3969/j.issn.0258-2724.20191167

Received Date: 23 Dec 2019
Rev Recd Date: 09 May 2020

Available Online: 29 Mar 2021

Publish Date: 15 Aug 2021

Abstract

Abstract

The rockburst prediction results of a tunnel in the Lhasa−Linzhi railway cannot meet the actual situation on site by applying the existing criteria directly. In order to formulate the rockburst intensity classification scheme and stress criterion for the whole line of the Lhasa−Linzhi railway, the measurement of the wall stress after tunnel excavation, point load test on rock samples and the excavation simulation based two-stage back analysis of initial geostress field were carried out based on the in-situ rockburst development characteristics and rules, rockburst failure trace in Sangzhuling tunnel of the Lhasa−Linzhi railway and kNN (k-nearest neighbor classification) algorithm, and then the rockburst intensity classification scheme and stress criterion for the Lhasa−Linzhi railway were proposed. After the verification of the prediction accuracy of rockburst in the Sangzhuling tunnel, the criterion was applied to the rockburst prediction of typical rock burst tunnels (the Zhulagang tunnel, the Dagala tunnel and the Gangmula tunnel) of the Lhasa−Linzhi railway, and the results are compared with the existing ones. The results show that for the Lhasa−Linzhi railway, the Russenes rockburst criterion will underestimate the occurrence of slight rockburst, but it is better to judge moderate rockburst. The rock burst grade judged by the Wang Lansheng criterion mainly focuses on slight rockburst, and the actual moderate and strong rockburst grades are not correctly judged, which indicates that it is easy to underestimate the actual rockburst grade. The rockburst grade judged by the Guanbaoshu criterion mainly focuses on strong rockburst, and it is easy to overestimate the actual rockburst grade because it basically does not correctly judge the actual slight and moderate rockburst grade. The rockburst criterion of the Lhasa−Linzhi railway is equal to the Lu Sen criterion in judging moderate rock burst grade, and its accuracy rate of rockburst prediction results is higher than other criteria, which is more in line with the actual situation of the Lhasa−Linzhi railway.
- tunnel engineering,
- Sichuan−Tibet railway,
- Lhasa−Linzhi railway,
- rockburst criterion,
- rockburst prediction

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References

冯夏庭,肖亚勋,丰光亮,等. 岩爆孕育过程研究[J]. 岩石力学与工程学报,2019,38(4): 649-673.

FENG Xiating, XIAO Yaxun, FENG Guangliang, et al. Study on the development process of rockbursts[J]. Chinese Journal of Rock Mechanics and Engineering, 2019, 38(4): 649-673.

WEI J. The Effect of excavation disturbance on rockburst trigger under different horizontal geostress[C]//Second International Conference on Geotechnical and Earthquake Engineering. Chengdu: [s.n.], 2013: 213-222.

ZHOU J, SHI X Z, DONG L, et al. Fisher discriminant analysis model and its application for prediction of classification of rockburst in deep-buried long tunnel[J]. Journal of Coal Science & Engineering (China), 2010(2): 36-41.

ORTLEPP W D, STACEY T R. Rockburst mechanisms in tunnels and shafts[J]. Tunnelling and Underground Space Technology, 1994, 9(1): 59-65.

李鹏翔, 陈炳瑞, 周扬一, 等. 硬岩岩爆预测预警研究进展[J]. 煤炭学报: 2019, 44(增刊2): 55-73.

LI Pengxiang, CHEN Bingrui, ZHOU Yangyi, et al. Review of the research progress of rockburst prediction and early warning in hard rock underground engineering[J]. Journal of China Coal Society, 2019, 44(S2): 55-73.

马振旺,汪波,王志伟,等. 基于应力解除法的九岭山隧道洞壁二次应力场分布规律研究[J]. 水利水电技术,2019,50(2): 184-190.

MA Zhenwang, WANG bo, WANG Zhiwei, et al. Stress relief method-based study on distribution law of secondary stress field in tunnel wall of Jiuling Mountain Tunnel[J]. Water Resources and Hydropower Engineering, 2019, 50(2): 184-190.

郭建强,刘新荣. 强度准则与岩爆判据统一的研究[J]. 岩石力学与工程学报,2018,37(增刊1): 3340-3352.

GUO Jianqiang, LIU Xinrong. Study on the uniformity between strength criterion and rockburst criterion[J]. Chinese Journal of Rock Mechanics and Engineering, 2018, 37(S1): 3340-3352.

严健,何川,汪波,等. 热力耦合作用下拉林铁路桑珠岭隧道岩爆预测[J]. 西南交通大学学报,2018,53(3): 434-441. doi: 10.3969/j.issn.0258-2724.2018.03.002

YAN Jian, HE Chuan, WANG Bo, et al. Prediction of rock bursts for Sangzhuling tunnel located on lhasa-nyingchi railway under coupled thermo-mechanical effects[J]. Journal of Southwest Jiaotong University, 2018, 53(3): 434-441. doi: 10.3969/j.issn.0258-2724.2018.03.002

夏舞阳. 高地应力场单线铁路隧道岩爆预测研究[D]. 成都: 西南交通大学, 2018.

张镜剑,傅冰骏. 岩爆及其判据和防治[J]. 岩石力学与工程学报,2008,27(10): 2034-2042. doi: 10.3321/j.issn:1000-6915.2008.10.010

ZHANG Jingjian, FU Bingjun. Rockburst and its criteria and control[J]. Chinese Journal of Rock Mechanics and Engineering, 2008,27(10): 2034-2042. doi: 10.3321/j.issn:1000-6915.2008.10.010

HOEK E, BROWN E T. Practical estimates of rock mass strength[J]. International Journal of Rock Mechanics and Mining Sciences, 1997, 34(8): 1165-1186. doi: 10.1016/S1365-1609(97)80069-X

徐林生,王兰生. 二郎山公路隧道岩爆特征与防治措施研究[J]. 中国公路学报,2003,16(1): 75-77.

XU Linsheng, WANG Lansheng. Study on rock burst characteristics and prevention measures of Langshan highway tunnel[J]. China Journal of Highway and Transport, 2003,16(1): 75-77.

彭祝,王元汉,李廷芥. Griffith理论与岩爆的判别准则[J]. 岩石力学与工程学报,1996(增刊1): 491-495.

PENG Zhu, WANG Yuanhan, LI Tingjie. Griffith theory and criteria for discrimination of rockburst[J]. Chinese Journal of Rock Mechanics and Engineering, 1996(S1): 491-495.

陶振宇. 高地应力区的岩爆及其判别[J]. 人民长江,1987(5): 25-32.

TAO Zhenyu. Rockburst in high stress area and its discrimination[J]. Yangtze River, 1987(5): 25-32.

张津生,陆家佑,贾愚如. 天生桥二级水电站引水隧洞岩爆研究[J]. 水力发电,1991(10): 34-37,76.

ZHANG Jinsheng, LU Jiayou, JIA Yuru. Study on Rockburst of diversion tunnel of Tianshengqiao second stage hydropower station[J]. Water Power, 1991(10): 34-37,76.

姚宝魁,张承娟. 高地应力坝区硐室围岩岩爆及其断裂破坏机制[J]. 水文地质工程地质,1985(6): 17-20.

YAO Baokui, ZHANG Chengjuan. Rockburst and fracture mechanism of surrounding rock in high stress dam area[J]. Hydrogeology & Engineering Geology, 1985(6): 17-20.

GUO G, WANG H, BELL D, et al. KNN model-based approach in classification[C]//OTM Confederated International Conferences. Heidelberg: Springer, 2003: 1-12.

乔亚琴,马盈仓,陈红,等. 构造样本k近邻数据的多标签分类算法[J]. 计算机工程与应用,2018,54(6): 135-142. doi: 10.3778/j.issn.1002-8331.1707-0337

QIAO Yaqin, MA Yingcang, CHEN Hong, et al. Multi-label classification algorithm of structure sample k-nearest neighbors data[J]. Computer Engineering and Applications, 2018, 54(6): 135-142. doi: 10.3778/j.issn.1002-8331.1707-0337

严健,何川,汪波,等. 雅鲁藏布江缝合带深埋长大隧道群岩爆孕育及特征[J]. 岩石力学与工程学报,2019,38(4): 769-781.

YAN Jian, HE Chuan, WANG Bo, et al. Inoculation and characters of rockbursts in extra-long and deep-lying tunnels located on Yarlung Zangbo suture[J]. Chinese Journal of Rock Mechanics and Engineering, 2019, 38(4): 769-781.

王兰生,李天斌,徐进,等. 二郎山公路隧道岩爆及岩爆烈度分级[J]. 公路,1999(2): 41-45.

WANG Lansheng, LI Tianbin, XU Jin, et al. Classification of rockburst intensity and rockburst intensity in Erlangshan highway tunnel[J]. Highway, 1999(2): 41-45.

蒙伟,何川,汪波,等. 基于侧压力系数的岩爆区初始地应力场二次反演分析[J]. 岩土力学,2018,39(11): 4191-4200,4209.

MENG Wei, HE Chuan, WANG Bo, et al. Two-stage back analysis of initial geostress field in rockburst area based on lateral pressure coefficient[J]. Rock and Soil Mechanics, 2018, 39(11): 4191-4200,4209.

王庆武,巨能攀,杜玲丽,等. 拉林铁路桑日至加查段三维地应力场反演分析[J]. 岩土力学,2018,39(4): 1450-1462.

WANG Qingwu, JU Nengpan, DU Lingli, et al. Three dimensional inverse analysis of geostress field in the Sangri–Jiacha section of Lhasa–Linzhi railway[J]. Rock and Soil Mechanics, 2018, 39(4): 1450-1462.

王庆武. 拉林铁路桑珠岭隧道地应力场分析及岩爆预测研究[D]. 成都: 成都理工大学, 2017.

王元汉,李卧东,李启光,等. 岩爆预测的模糊数学综合评判方法[J]. 岩石力学与工程学报,1998,17(5): 15-23.

WANG Yuanhan, LI Wodong, LI Qiguang, et al. Fuzzy mathematical comprehensive evaluation method for rockburst prediction[J]. Chinese Journal of Rock Mechanics and Engineering, 1998,17(5): 15-23.

张志强,关宝树,翁汉民. 岩爆发生条件的基本分析[J]. 铁道学报,1998,20(4): 83-86.

ZHANG Zhiqiang, GUAN Baoshu, WENG Hanmin. Basic analysis of rock bursting occurrence condition[J]. Journal of the China Railway Society, 1998,20(4): 83-86.

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Rock Burst Intensity Classification of Lhasa−Linzhi Railway Based on Stress Criterion

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