|本期目录/Table of Contents|

[1]艾祖斌,张晨曦,曾兆文,等.长大深埋隧道未开挖段岩爆灾害风险评估[J].中国安全生产科学技术,2019,15(8):168-173.[doi:10.11731/j.issn.1673-193x.2019.08.027]
 AI Zubin,ZHANG Chenxi,ZENG Zhaowen,et al.Research on risk assessment of rockburst disaster in unexcavated section of long and deeplying tunnel[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2019,15(8):168-173.[doi:10.11731/j.issn.1673-193x.2019.08.027]
点击复制

长大深埋隧道未开挖段岩爆灾害风险评估
分享到:

《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
15
期数:
2019年8期
页码:
168-173
栏目:
职业安全卫生管理与技术
出版日期:
2019-08-31

文章信息/Info

Title:
Research on risk assessment of rockburst disaster in unexcavated section of long and deeplying tunnel
文章编号:
1673-193X(2019)-08-0168-06
作者:
艾祖斌1张晨曦2曾兆文1曹振生1孙永超1
(1.中电建路桥集团有限公司,北京 100048;
2.北京科技大学 土木与资源工程学院,北京 100083)
Author(s):
AI Zubin1ZHANG Chenxi2ZENG Zhaowen1CAO Zhensheng1SUN Yongchao1
(1.Power China Road Bridge Group Co.,Ltd.,Beijing 100048,China;
2.School of Civil and Resources Engineering,University of Science and Technology Beijing,Beijing 100083,China)
关键词:
公路隧道岩爆灾害风险评估可拓综合评判
Keywords:
highway tunnel rockburst disaster risk assessment extension comprehensive evaluation
分类号:
X947;U459.2
DOI:
10.11731/j.issn.1673-193x.2019.08.027
文献标志码:
A
摘要:
为综合评估长大深埋隧道岩爆灾害风险,基于大量岩爆研究文献及待评估隧道的工程条件建立岩爆风险评估指标体系,包括单轴抗压强度、地应力、岩体完整性系数3个指标,并将岩爆风险划分为低、中、高和极高4个等级;根据围岩等级将待评估的五老峰隧道未开挖部分划分为4个区段,根据指标体系搜集各区段指标值,并将指标区间划分值与实际指标值归一化;基于重要性排序法和可拓综合评判确定未开挖区段的岩爆风险等级。研究结果表明:该隧道区段1,3和4的岩爆风险为中度,后续施工中应予以监测;区段2的岩爆风险为高度,在后续施工中必须采取风险控制措施降低风险并加强监测。
Abstract:
To assess the risk of rockburst disaster in the long and deeplying tunnels comprehensively,based on the extensive literature of rockburst research and the engineering conditions of the tunnel to be evaluated,an index system of rockburst risk assessment was established,which included three indexes of uniaxial compressive strength,insitu stress and integrity coefficient of rock mass.The rockburst risk was divided into four grades of low risk,medium risk,high risk and extremely high risk.According to the grade of surrounding rock,the unexcavated part of Wulaofeng tunnel to be evaluated was divided into four sections,and the index values of each section were collected according to the index system,then the interval demarcation values and actual values of the indexes were normalized.The rockburst risk levels of the unexcavated sections were determined by the importance ranking method and the extension comprehensive evaluation.The results showed that the rockburst risk levels of tunnel section 1,section 3 and section 4 were the medium risk,which should be monitored during the subsequent construction.However,the rockburst risk level of section 2 was high risk,and the risk control measures must be taken to reduce the rockburst risk during the subsequent construction,with strengthening the monitoring.

参考文献/References:

[1]桂志敬,吴忠广,严琼,等.公路隧道施工安全风险评估方法优化研究[J].中国安全生产科学技术,2018,14(9):136-143.GUI Zhijing,WU Zhongguang,YAN Qiong,et al.Study on optimization of safety risk assessment method for highway tunnel construction[J].Journal of Safety Science and Technology,2018,14(9):136-143.
[2]冯夏庭,陈炳瑞,张传庆,等.岩爆孕育过程的机制、预警与动态调控[M].北京:科学出版社,2013.
[3]曹海洋.高地应力隧道施工岩爆风险评估方法与应用研究[D].成都:成都理工大学,2016.
[4]SOUSA L R E,MIRANDA T,SOUSA R L E,et al.The use of data mining techniques in rockburst risk assessment[J].Engineering,2017,3(4):262-275.
[5]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(5):15-23.WANG Yuanhan,LI Wodong,LI Qiguang,et al.Rockburst prediction based on fuzzy mathematics comprehensive evaluation method[J].Chinese Journal of Rock Mechanics and Engineering,1998(5):15-23.
[6]张禄华,蔡嗣经.元胞自动机在矿山地质灾害预测中的应用[J].中国安全生产科学技术,2007(5):47-50.ZHANG Luhua,CAI Sijing.Application of cellular automata in the prediction of geohazards of mines[J].Journal of Safety Science and Technology,2007(5):47-50.
[7]李绍红,王少阳,朱建东,等.基于权重融合和云模型的岩爆倾向性预测研究[J].岩土工程学报,2018,40(6):1075-1083.LI Shaohong,WANG Shaoyang,ZHU Jiandong,et al.Prediction of rock burst tendency based on weighted fusion and improved cloud model[J].Chinese Journal of Geotechnical Engineering,2018,40(6):1075-1083.
[8]过江,张为星,赵岩.岩爆预测的多维云模型综合评判方法[J].岩石力学与工程学报,2018,37(5):1199-1206.GUO Jiang,ZHANG Weixing,ZHAO Yan.A multidimensional cloud model for rock burst prediction[J].Chinese Journal of Rock Mechanics and Engineering,2018,37(5):1199-1206.
[9]贾义鹏,吕庆,尚岳全.基于粒子群算法和广义回归神经网络的岩爆预测[J].岩石力学与工程学报,2013,32(2):343-348.JIA Yipeng,LYU Qing,SHANG Yuequan.Rock burst prediction using particle swarm optimization and generalized regression neural network[J].Chinese Journal of Rock Mechanics and Engineering,2013,32(2):343-348.
[10]李永松,尹健民,艾凯.BP神经网络在岩爆预测中的应用[J].长江科学院院报,2008(5):183-185,190.LI Yongsong,YIN Jianmin,AI Kai.Application of BP neural network in prediction of rockburst[J].Journal of Yangtze River Scientific Research Institute,2008(5):183-185,190.
[11]何逢标.综合评价方法的MATLAB实现[M].北京:中国社会科学出版社,2010.
[12]黄祥志,佘成学.基于可拓理论的围岩稳定分类方法的研究[J].岩土力学,2006(10):1800-1804,1814.HUANG Xiangzhi,SHE Chengxue.Research on methods of surrounding rock masses stability classification based on extension theory[J].Rock and Soil Mechanics,2006(10):1800-1804,1814.
[13]李志林.可拓综合评价方法及其应用特色[J].广东工业大学学报,2000(2):105-108.LI Zhilin.The method of extension synthesis assessment and its applied features[J].Journal of Guangdong University of Technology,2000(2):105-108.
[14]交通运输部.交通运输部关于发布高速公路路堑高边坡工程施工安全风险评估指南(试行)的通知[EB/OL].(2015-02-04)[2019-04-23].http:// zizhan.mot.gov.cn/zfxxgk/bnssj/aqjds/ 201502/ t2015 0204_1767559.html.
[15]杨树新,姚瑞,崔效锋,等.中国大陆与各活动地块、南北地震带实测应力特征分析[J].地球物理学报,2012,55(12):4207-4217.YANG Shuxin,YAO Rui,CUI Xiaofeng,et al.Analysis of characteristics of measured stress in Chinese mainland and its active blocks and North-South seismic belt[J].Chinese Journal of Geophysics,2012,55(12):4207-4217.
[16]何健.西南地区地应力特征及工程区域地应力反演研究[D].重庆:重庆大学,2017.
[17]景锋.中国大陆浅层地壳地应力场分布规律及工程扰动特征研究[D].武汉:中国科学院研究生院(武汉岩土力学研究所),2009.
[18]李方全,祁英男.地壳应力随深度的变化规律[J].岩石力学与工程学报,1988(4):301-309.LI Fangquan,QI Yingnan.Variation of crustal stresses with depth in China[J].Chinese Journal of Rock Mechanics and Engineering,1988(4):301-309.
[19]STEPHANSSON O,SARKKA P,MYRVANG A .State of stress in Fennoscandia[J].Isrm International Symposium,1986.
[20]BROWM E T,HOEK E.Trends in relationships between measured in-situ stresses and depth[J].International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts,1978,15(4):211-215.
[21]交通运输部工程质量监督局.公路桥梁和隧道工程施工安全风险评估制度及指南解析[M].北京:人民交通出版社,2011.

相似文献/References:

[1]刘勇,徐志胜,赵望达.公路隧道火灾风险评价模型及应用[J].中国安全生产科学技术,2014,10(4):126.[doi:10.11731/j.issn.1673-193x.2014.04.022]
 LIU Yong,XU Zhi sheng,ZHAO Wang da.Fire risk assessment model of road tunnel and its application[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2014,10(8):126.[doi:10.11731/j.issn.1673-193x.2014.04.022]
[2]冯宝俊,刘敦文,褚夫蛟.基于PSO-SVM模型的隧道水砂突涌量预测研究[J].中国安全生产科学技术,2014,10(7):123.[doi:10.11731/j.issn.1673-193x.2014.07.022]
 FENG Bao jun,LIU Dun wen,CHU Fu jiao.Study on prediction of water and sand inrush quantity in tunnel based on PSOSVM model[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2014,10(8):123.[doi:10.11731/j.issn.1673-193x.2014.07.022]
[3]陈炜,路世昌,崔铁军.基于AHP可拓综合方法的公路隧道安全等级判定研究[J].中国安全生产科学技术,2014,10(7):158.[doi:10.11731/j.issn.1673-193x.2014.07.028]
 CHEN Wei,LU Shi-chang,CUI Tie-jun.Research on safety level of highway tunnel based on AHP-Extension synthesis method[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2014,10(8):158.[doi:10.11731/j.issn.1673-193x.2014.07.028]
[4]谭洪强,邓红卫,马浩鹏,等.基于未确知测度理论的公路隧道水害危险性评价[J].中国安全生产科学技术,2015,11(4):166.[doi:10.11731/j.issn.1673-193X.2015.04.027]
 TAN Hong-qiang,DENG Hong-wei,MA Hao-peng,et al.Risk assessment on highway tunnel flood based on uncertainty measurement theory[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2015,11(8):166.[doi:10.11731/j.issn.1673-193X.2015.04.027]
[5]谭洪强,邓红卫,王杰,等.公路隧道水害倾向性分级的Bayes判别法及应用[J].中国安全生产科学技术,2015,11(6):120.[doi:10.11731/j.issn.1673-193x.2015.06.019]
 TAN Hong-qiang,DENG Hong-wei,WANG Jie,et al.Bayes discriminant analysis on flood tendency classification of highway tunnel and its application[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2015,11(8):120.[doi:10.11731/j.issn.1673-193x.2015.06.019]
[6]孙忠强,方宝君.大断面公路隧道施工风流分布规律研究[J].中国安全生产科学技术,2016,12(2):154.[doi:10.11731/j.issn.1673-193X.2016.02.028]
 SUN Zhongqiang,FANG Baojun.Study on airflow distribution regularities in construction of large section highway tunnel[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2016,12(8):154.[doi:10.11731/j.issn.1673-193X.2016.02.028]
[7]李新宏,朱红卫,陈国明,等.公路隧道内CNG管束气瓶车泄漏天然气扩散CFD仿真[J].中国安全生产科学技术,2016,12(12):138.[doi:10.11731/j.issn.1673-193x.2016.12.024]
 LI Xinhong,ZHU Hongwei,CHEN Guoming,et al.CFD simulation of natural gas diffusion from CNG tube-buddle cylinder vehicle leakage in highway tunnel[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2016,12(8):138.[doi:10.11731/j.issn.1673-193x.2016.12.024]
[8]陈长坤,雷鹏,史聪灵,等.公路隧道内氢气和丙烷爆炸数值模拟对比分析[J].中国安全生产科学技术,2017,13(1):151.[doi:10.11731/j.issn.1673-193x.2017.01.025]
 CHEN Changkun,LEI Peng,SHI Congling,et al.Comparative numerical simulation analysis on explosion of hydrogen and propane in highway tunnel[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2017,13(8):151.[doi:10.11731/j.issn.1673-193x.2017.01.025]
[9]陈涛,胡成,包志明,等.公路隧道压缩空气泡沫系统灭油池火实验研究[J].中国安全生产科学技术,2017,13(7):30.[doi:10.11731/j.issn.1673-193x.2017.07.005]
 CHEN Tao,HU Cheng,BAO Zhiming,et al.Experimental study on extinguishing of pool fire with compressed air foam system in road tunnel[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2017,13(8):30.[doi:10.11731/j.issn.1673-193x.2017.07.005]
[10]张成良,张金瑞,蔡林真,等.软岩大断面隧道二次衬砌支护时机的选择研究[J].中国安全生产科学技术,2018,14(9):116.[doi:10.11731/j.issn.1673-193x.2018.09.019]
 ZHANG Chengliang,ZHANG Jinrui,CAI Linzhen,et al.Research on timing selection of secondary lining support for large crosssection tunnel in soft rock[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2018,14(8):116.[doi:10.11731/j.issn.1673-193x.2018.09.019]

备注/Memo

备注/Memo:
收稿日期: 2019-07-19
* 基金项目: 国家重点研发计划项目(2017YFC0805303);国家自然科学基金项目(51174020)
作者简介: 艾祖斌,硕士,高级工程师,主要研究方向为隧道及地下工程。
通信作者: 张晨曦,硕士研究生,主要研究方向为隧道灾害风险评估。
更新日期/Last Update: 2019-09-04