[1]何怡帆,李天斌,曹海洋.隧道施工期岩爆危险性评价的属性识别模型及工程应用[J].水文地质工程地质,2020,47(2):102-111.[doi:10.16030/j.cnki.issn.1000-3665.201908002]
 HE Yifan,LI Tianbin,CAO Haiyang.Attribute recognition model of fatalness assessment of rockburst in tunnel construction and its application[J].Hydrogeology & Engineering Geology,2020,47(2):102-111.[doi:10.16030/j.cnki.issn.1000-3665.201908002]
点击复制

隧道施工期岩爆危险性评价的属性识别模型及工程应用()
分享到:

《水文地质工程地质》[ISSN:1000-3665/CN:11-2202/P]

卷:
47卷
期数:
2020年2期
页码:
102-111
栏目:
工程地质
出版日期:
2020-03-15

文章信息/Info

Title:
Attribute recognition model of fatalness assessment of rockburst in tunnel construction and its application
文章编号:
1000-3665(2020)02-0102-10
作者:
何怡帆李天斌曹海洋
成都理工大学地质灾害防治与地质环境保护国家重点实验室,四川 成都610059
Author(s):
HE Yifan LI Tianbin CAO Haiyang
State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, Sichuan610059, China
关键词:
隧道施工岩爆危险性评价属性识别综合赋权法
Keywords:
tunnel construction rockburst fatalness assessment attribute recognition comprehensive weighting method
分类号:
TU457;U456.3+3
DOI:
10.16030/j.cnki.issn.1000-3665.201908002
文献标志码:
A
摘要:
隧道地质条件复杂,岩爆灾害频发,造成严重经济损失及人员伤亡,为工程施工带来极大困难。为分析隧道施工期岩爆风险和为施工安全提供依据,以属性数学理论为基础,建立了8参数岩爆危险性属性评价模型。通过对隧道岩爆案例的系统整理与分析,总结岩爆主要影响因素,考虑隧道施工现场指标获取的难易程度,改进了岩爆传统评价指标,选取了围岩岩性、岩体强度、围岩完整性、地应力大小、地下水状况、隧道埋深、隧道断面大小及现场施工情况8个易于获取的指标,然后构建了岩爆危险性评价的属性识别模型;同时考虑主观因素和客观因素,采用层次分析法(AHP)和概率统计法结合的综合赋权法对各指标因素进行权重分析;将建立的岩爆危险性属性识别模型应用于雅康高速公路二郎山隧道,结果表明:评价结果与实际开挖结果总体吻合较好,验证了该方法在岩爆危险性评价中的可行性与合理性。该研究成果为隧道施工岩爆灾害危险性评价提供了一种有效的途径,对预防隧道岩爆灾害发生、减少施工损失具有重大的意义。
Abstract:
Geological conditions of tunnels are complex, and the rockburst disaster is frequent, causing serious economic losses and casualties, which bring great difficulties to the construction of projects. In order to analyze the rockburst risk of tunnel construction and provide a basis for construction safety, an 8-parameter rockburst hazard evaluation model is established on the basis of the attribute mathematics theory. Through the systematic collection and analysis of the cases of tunnel rockburst, the main influencing factors of rockburst are summarized. Considering the ease of obtaining the index of the tunnel construction site, the traditional evaluation index of rock explosion is improved, and 8 easy-to-obtain indicators are selected: rock nature, rock strength, rock integrity, ground stress size, groundwater condition, tunnel depth, tunnel section size and site construction. The property identification model of the rock explosion risk assessment is constructed. The subjective and objective factors are taken into account, and the combined empowerment method of analytic hierarchy process(AHP) and probability statistics is used to analyze the weighting of the indicator factors. The established rock explosion risk attribute identification model is applied to the Yakang Expressway’s Erlangshan tunnel, the results show that the evaluation results are in general good agreement with the actual excavation results, the feasibility and rationality of the method in the rock explosion risk evaluation is verified. The research results provide an effective way for the risk assessment of tunnel construction rock explosion disaster, which are of great significance to prevent the occurrence of tunnel rock explosion disaster and reduce the construction loss.

参考文献/References:

[1]王迎超, 尚岳全, 孙红月,等. 基于功效系数法的岩爆烈度分级预测研究[J]. 岩土力学, 2010, 31(2): 529-534.
[WANG Y C, SHANG Y Q, SUN H Y, et al. Study of prediction of rockburst intensity based on efficacy coefficient method[J]. Rock and Soil Mechanics, 2010, 31(2): 529-534.(in Chinese)]
[2]邓小鹏, 相建华. 宝塔山特长隧道地应力场研究及岩爆预测[J]. 水文地质工程地质, 2013, 40(1): 83-88.
[DENG X P, XIANG J H. A study of the geostress field of the surrounding rocks of the Baota mountain tunnel and rock burst forecast[J]. Hydrogeology & Engineering Geology, 2013, 40(1): 83-88.(in Chinese)]
[3]吴凌峰, 兰乾玉, 吴凤山,等. 基于贝叶斯判别法的工程岩爆危险评估与预测[J]. 施工技术, 2014, 43(增刊1): 105-109.
[WU L F, LAN Q Y, WU F S, et al. Risk assessment and prediction on rockburst based on Bayes discriminance[J]. Construction Technology, 2014, 43(Sup 1): 105-109.(in Chinese)]
[4]郭生茂, 刘涛, 赵丽军,等. 熵权物元可拓模型在岩爆危险性等级评价中的应用[J]. 有色金属(矿山部分), 2015, 67(4): 89-93.
[GUO S M, LIU T, ZHAO L J, et al. Application of entropy-weight and matter-element extension model in evaluation of rock burst risk level[J]. Nonferrous Metals(Mining Section), 2015, 67(4): 89-93.(in Chinese)]
[5]尹彬, 陆卫东, 贾宝山,等. 岩爆危险性评价的变权物元可拓模型[J]. 金属矿山, 2017(5): 54-59.
[YIN B, LU W D, JIA B S, et al. Variable weight coupled matter-element extension evaluation of rock-burst risk[J]. Metal Mine, 2017(5): 54-59.(in Chinese)]
[6]李天斌, 孟陆波, 王兰生. 高地应力隧道稳定性及岩爆、大变形灾害防治[M]. 北京: 科学出版社, 2016.
[LI T B, MENG L B, WANG L S. Stability of high-stress tunnels and prevention of large-scale rockburst disasters [M]. Beijing: Science Press, 2016.(in Chinese)]
[7]张晓燕. 基于模糊综合评价的岩爆危险性预测[D]. 邯郸: 河北工程大学, 2017.
ZHANG X Y. Study on risk forecast of rock burst based on fuzzy comprehensive evaluation[D]. Handan: Hebei University of Engineering, 2017.(in Chinese)
[8]CAI W, DOU L M, ZHANG M, et al. A fuzzy comprehensive evaluation methodology for rock burst forecasting using microseismic monitoring[J]. Tunnelling and Underground Space Technology, 2018, 80: 232-245.
[9]ZHANG M W, LIU S D, SHIMADA H. Regional hazard prediction of rock bursts using microseismic energy attenuation tomography in deep mining[J]. Natural Hazards, 2018, 93(3): 1359-1378.
[10]YU J C, LIU S G, GAO L. Rock burst classification prediction method based on weight inverse analysis cloud model[J]. IOP Conference Series: Earth and Environmental Science, 2019, 283: 012023.
[11]邢军, 王建斌, 蒋蕾,等. 圭嘎拉高速公路隧道地应力特征及岩爆预测[J]. 水文地质工程地质, 2019, 46(2): 170-178.
[XING J, WANG J B, JIANG L, et al. In-situ stress characteristics and rock burst prediction of the Guigala Expressway tunnel[J]. Hydrogeology & Engineering Geology, 2019, 46(2): 170-178.(in Chinese)]
[12]程乾生. 属性识别理论模型及其应用[J]. 北京大学学报(自然科学版), 1997, 33(1): 12-20.
[CHENG Q S. Attribute recognition theoretical model with application[J]. Acta Scicentiarum Naturalum Universitis Pekinesis, 1997, 33(1): 12-20.(in Chinese)]
[13]程乾生. 属性集和属性综合评价系统[J]. 系统工程理论与实践, 1997, 17(9): 1-8, 42.
[CHENG Q S. Attribute sets and attribute synthetic assessment system[J]. Systems Engineering-Theory & Practice, 1997, 17(9): 1-8.(in Chinese)]
[14]程乾生. 质量评价的属性数学模型和模糊数学模型[J]. 数理统计与管理, 1997, 16(6): 18-23.
[CHENG Q S. Attribute mathematical model and fuzzy mathematical model for quality assesssment[J]. Application of Statistics and Management, 1997, 16(6): 18-23.(in Chinese)]
[15]李术才, 周宗青, 李利平,等. 岩溶隧道突水风险评价理论与方法及工程应用[J]. 岩石力学与工程学报, 2013, 32(9): 1858-1867.
[LI S C, ZHOU Z Q, LI L P, et al. Risk evaluation theory and method of water inrush in Karst tunnels and its applications[J]. Chinese Journal of Rock Mechanics and Engineering, 2013, 32(9): 1858-1867.(in Chinese)]
[16]许振浩, 李术才, 李利平,等. 基于层次分析法的岩溶隧道突水突泥风险评估[J]. 岩土力学, 2011, 32(6): 1757-1766.
[XU Z H, LI S C, LI L P, et al. Risk assessment of water or mud inrush of Karst tunnels based on analytic hierarchy process[J]. Rock and Soil Mechanics, 2011, 32(6): 1757-1766.(in Chinese)]
[17]周宗青, 李术才, 李利平,等. 岩溶隧道突涌水危险性评价的属性识别模型及其工程应用[J]. 岩土力学, 2013, 34(3): 818-826.
[ZHOU Z Q, LI S C, LI L P, et al. Attribute recognition model of fatalness assessment of water inrush in Karst tunnels and its application[J]. Rock and Soil Mechanics, 2013, 34(3): 818-826.(in Chinese)]
[18]文畅平. 隧道瓦斯突出危险性评价的属性识别模型与实例[J]. 煤炭学报, 2011, 36(8): 1322-1328.
[WEN C P. Attribute recognition model and its application of fatalness assessment of gas burst in tunnel[J]. Journal of China Coal Society, 2011, 36(8): 1322-1328.(in Chinese)]
[19]文畅平, 杨果林. 基于属性数学理论的岩土边坡地震稳定性评价[J]. 中国铁道科学, 2010, 31(5): 8-14.
[WEN C P, YANG G L. The seismic stability evaluation of the rock and soil slope based on the attribute mathematical theory[J]. China Railway Science, 2010, 31(5): 8-14.(in Chinese)]
[20]文畅平. 属性综合评价系统在岩爆发生和烈度分级中的应用[J]. 工程力学, 2008, 25(6): 153-158.
[WEN C P. Application of attribute synthetic evaluation system in prediction of possibility and classification of rockburst[J]. Engineering Mechanics, 2008, 25(6): 153-158.(in Chinese)]
[21]于洋, 刁心宏, 赵秀绍,等. 深部岩体隧洞岩爆灾害影响因素分析[J]. 南水北调与水利科技, 2017, 15(3): 183-189.
[YU Y, DIAO X H, ZHAO X S, et al. Analysis of influence factor associated with rockbursts in deep, hard rock tunnels[J]. South-to-North Water Transfers and Water Science & Technology, 2017, 15(3): 183-189.(in Chinese)]
[22]张春生, 刘宁, 褚卫江,等. 锦屏二级深埋隧洞构造型岩爆诱发机制与案例解析[J]. 岩石力学与工程学报, 2015, 34(11): 2242-2250.
[ZHANG C S, LIU N, CHU W J, et al. Inducement mechanism and case analysis of tectonic rockburst in Jinping ii deep buried tunnel[J]. Chinese Journal of Rock Mechanics and Engineering, 2015, 34(11): 2242-2250.(in Chinese)]
[23]何川, 汪波, 吴德兴. 苍岭隧道岩爆特征与影响因素的相关性及防治措施研究[J]. 水文地质工程地质, 2007, 34(2): 25-28.
[HE C, WANG B, WU D X. Research of relativity between rockburst character and influence factor and prevention measure in Cangling tunnel[J]. Hydrogeology & Engineering Geology, 2007, 34(2): 25-28.(in Chinese)]
[24]王庆武, 巨能攀, 杜玲丽,等. 深埋长大隧道岩爆预测与工程防治研究[J]. 水文地质工程地质, 2016, 43(6): 88-94.
[WANG Q W, JU N P, DU L L, et al. Research on rockburst prediction and engineering measures of long and deep-lying tunnels[J]. Hydrogeology & Engineering Geology, 2016, 43(6): 88-94.(in Chinese)]
[25]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.
[CAO H Y. Research on the method and application of rock burst risk assessment in the construction of high ground stress tunnels[D]. Chengdu: Chengdu University of Technology, 2016.(in Chinese)]
[26]徐琛, 刘晓丽, 王恩志,等. 基于组合权重-理想点法的应变型岩爆五因素预测分级[J]. 岩土工程学报, 2017, 39(12): 2245-2252.
[XU C, LIU X L, WANG E Z, et al. Prediction and classification of strain mode rockburst based on five-factor criterion and combined weight-ideal point method[J]. Chinese Journal of Geotechnical Engineering, 2017, 39(12): 2245-2252.(in Chinese)]
[27]侯东赛, 张霄, 王磊. 基于综合赋权-TOPSIS法隧道突涌水风险评价及应用[J]. 隧道建设, 2017, 37(6): 691-699.
[HOU D S, ZHANG X, WANG L. Risk evaluation of tunnel water inrush based on comprehensive weighting-TOPSIS method and its application[J]. Tunnel Construction, 2017, 37(6): 691-699.(in Chinese)]
[28]SAATY T L. How to make a decision: The analytic hierarchy process[J]. European Journal of Operational Research, 1990, 48(1): 9-26.
[29]刘莹昕, 刘飒, 王威尧. 层次分析法的权重计算及其应用[J]. 沈阳大学学报(自然科学版), 2014, 26(5): 372-375.
[LIU Y X, LIU S, WANG W Y. Computation of weight in AHP and its application[J]. Journal of Shenyang University(Natural Science), 2014, 26(5): 372-375.(in Chinese)]

备注/Memo

备注/Memo:
收稿日期: 2019-08-12; 修订日期: 2019-09-09
基金项目: 交通运输部建设科技项目(2015318J29040)
第一作者: 何怡帆(1995-),女,硕士研究生,主要从事岩土工程研究。E-mail:hyf0107@qq.com
通讯作者: 李天斌(1964-),男,博士,教授,从事地质工程、岩土工程和隧道工程领域教学和科研工作。E-mail:ltb@cdut.edu.cn
更新日期/Last Update: 2020-03-15