基于掘进性能的TBM施工围岩综合分级方法

doi:10.13722/j.cnki.jrme.2017.1190

摘要
图/表
参考文献(28)
相关文章 (15)

全文: PDF (289 KB) HTML (1 KB)
输出: BibTeX | EndNote (RIS)

摘要

传统围岩分级方法侧重于围岩的稳定性，对于TBM施工隧道工程，围岩与TBM均扮演重要角色，有必要建立一套服务于TBM隧道工程的围岩分级新方法。依托引汉济渭引水隧洞工程的现场数据，对场切深指数FPI与地质参数、掘进参数的相关性进行分析，建立TBM隧道的围岩可掘性分级；对影响TBM利用率的主要地质因素进行分析，建立TBM隧道的适应性分级。综合考虑工程的围岩可掘性及TBM适应性，以施工速度为指标，建立基于掘进性能的TBM施工围岩综合分级。分级选取岩石强度、岩体完整性、地下水状态、初始地应力状态、隧道轴线与主要软弱结构面夹角等5方面因素指标，对TBM推力、贯入度、利用率和施工速度进行影响关系综合分析。结果表明，新建立的TBM施工围岩综合分级方法可以进行TBM掘进性能预测与工期、成本分析，有效解决开敞式TBM工程实用围岩分级问题。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	薛亚东1
	2
	李兴1
	2
	刁振兴3
	赵丰1
	2

关键词 ：隧道工程, TBM, 围岩分级, 可掘性, 性能

Abstract：

The traditional rock mass classification method focuses on the stability of surrounding rock. For TBM tunnel，the machine performance should also be considered in construction. It is necessary to establish a new method of surrounding rock classification for TBM tunnel. Based on the field data of Hanjiang to Weihe River Valley Diversion Project，the correlation among field penetration index(FPI)，geological parameters and tunneling parameters is analyzed. Then the boreability classification of rock mass is established. The main geological factors affecting the machine utilization were analyzed and the adaptability classification of TBM is also established. In order to reflect the TBM performance，the rock mass is finally classified by evaluating the advance rate，which is affected by the boreability of surrounding rock and the adaptability of TBM at the same time. Five factors，including the rock strength，rock mass integrity，groundwater state，in-situ stress state，tunnel axis and weak structure characteristics，were selected in the study and finally to establish the comprehensive classification of rock mass. The results show that the comprehensive classification of rock mass for TBM tunnel can be used to predict the TBM performance，analyze the duration and cost of project，and effectively solve the practical surrounding rock classification problem of open TBM.

Key words： tunnelling engineering tunnel boring machine(TBM) classification of rock mass boreability performance

引用本文:

薛亚东1，2，李兴1，2，刁振兴3，赵丰1，2. 基于掘进性能的TBM施工围岩综合分级方法[J]. 岩石力学与工程学报, 2018, 37(S1): 3382-3391.
XUE Yadong1，2，LI Xing1，2，DIAO Zhenxing3，ZHAO Feng1，2. A novel classification method of rock mass for TBM tunnel based on penetration performance. , 2018, 37(S1): 3382-3391.

链接本文:

https://rockmech.whrsm.ac.cn/CN/10.13722/j.cnki.jrme.2017.1190 或 https://rockmech.whrsm.ac.cn/CN/Y2018/V37/IS1/3382

[1]	王旭，李晓，李守定. 关于用岩体分类预测TBM掘进速率AR的讨论[J]. 工程地质学报，2008，16(4)：470-475.(WANG Xu，LI Xiao，LI Shouding. Problems in the prediction of the TBM advance rate with rock mass classification and their possible solutions[J]. Journal of Engineering Geology，2008，16(4)：470-475.(in Chinese))
[2]	CASSINELLI F，CINA S，INNAURATO N. Power consumption and metal wear in tunnel-boring machines：analysis of tunnel-boring operation in hard rock[C]// Proceedings of the 3rd International Symposium. Brighton：[s. n.]，1982：73-81
[3]	BARTON N R. TBM tunnelling in jointed and faulted rock[M]. Boca Raton：CRC Press，2000：170-175.
[4]	BIENIAWSKI Z T，CELADA B，GALERA J M. TBM excavability：prediction and machine-rock interaction[C]// Proceedings of RETC，Toronto：[s. n.]，2007：1 118-1 130.
[5]	ALBER M. Advance rates of hard rock TBMs and their effects on project economics[J].Tunnelling and Underground Space Technology，2005， 15(1)：55-64.
[6]	LAUGHTON C. Evaluation and prediction of TBM performance in variable rock mass[Ph.D Thesis][D].Austi：The University of Texas，1998.
[1]	王石春. 隧道掘进机与地质因素关系综述[J]. 世界隧道，1998，(2)：39-43.(WANG Shichun. Relationship between TBM Tunneling andgeological conditions[J]. World Tunnel，1998，(2)：39-43.(inChinese))
[2]	何发亮，谷明成. TBM施工隧道围岩分级方法研究[J]. 岩石力学与工程学报，2002，21(9)：1 350-1 354.(HE Faliang，GU Mingcheng.Study on surrounding rock classification of tunnel cut by TBMs[J]. Chinese Journal of Rock Mechanics and Engineering，2002，21(9)：1 350-1 354. (in Chinese))
[7]	李春明，彭耀荣. TBM施工隧洞围岩分类方法的探讨[J]. 中外公路，2006，26(3)：235-237.(LI Chunming，PENG Yaorong．Discussionabout surrounding rock classification of tunnel excavate by TBMs[J]. Journal of China and Foreign Highway，2006，26(3)：235-237.(in Chinese))
[1]	张宁，石豫川，童建刚. TBM施工深埋隧洞围岩分类方法初探[J].现代隧道技术，2010，47(5)：11-14.(ZHANG Ning，SHIYuchuan，TONG Jiangang. Discussion on rock classification of TBM excavated deep tunnels[J]. Model Tunnelling Technology，2010，47(5)：11-14.(in Chinese))
[2]	王学潮. 南水北调西线工程 TBM 施工围岩分级研究[M]. 郑州：黄河水利出版社，2011：3-25.(WANG Xuechao. Study on surroundingrock classification of tunnel excavate by TBMs of the west route of South to North water transfer project[M]. Zhengzhou：Yellow River Water Conservancy Press，2011：3-25.(in Chinese))
[8]	杨媛媛，黄宏伟. 围岩分类在TBM滚刀寿命预测中的应用[J]. 地下空间与工程学报，2005，1(5)：721-724.(YANG Yuanyuan，HUANGHongwei. Application of rock mass classification in cutter life prediction of TBM[J]. Chinese Journal of Underground Space and Engineering，2005，1(5)：721-724.(in Chinese))
[9]	祁生文，伍法权，王大国，等. 岩石隧道掘进机(TBM)的施工速度(AR)与围岩分类[C]// 隧道、地下工程及岩石破碎学术研讨会论文集. [S. l.]：[s. n.]，2007：67-76.(QI Shengwen，WU Faquan，WANG Daguo，et al. Advance rate of rock tunnel boring machine and surrounding rock classification[C]// Symposium on Tunneling，Underground Engineeringand Rock Fragmentation. [S. l.]：[s. n.]，2007：67-76.(in Chinese))
[10]	祁生文，伍法权.基于模糊数学的TBM施工岩体质量分级研究[J]. 岩石力学与工程学报，2011，30(6)：1225-1229.(QI Shengwen，WUFaquan. Surrounding rockmass quality classification of tunnel cut by TBM with fuzzy mathematics method[J]. Chinese Journal of Rock Mechanics and Engineering，2011，30(6)：1 225-1229.(in Chinese))
[11]	闫长斌，路新景. 基于改进的距离判别分析法的南水北调西线工程TBM施工围岩分级[J]. 岩石力学与工程学报，2012，31(7)：1446-1451.(YAN Changbin，LU Xinjing. Classification of surrounding rock mass by TBM tunneling based on improved distance discriminant analysis method in west route of South-to-North water transfer project[J]. Chinese Journal of Rock Mechanics and Engineering，2012，31(7)：1446-1451.(in Chinese))
[12]	王攀，郭伟，朱殿华. 基于模糊聚类理论的 TBM 施工围岩可掘进性分级预测模型[J]. 现代隧道技术，2014，51(6)：58-64. (WANG Pan，GUO Wei，ZHUDianhua. Fuzzy clustering theory based rock mass cuttability classification prediction model for TBM tunneling[J]. Model Tunnelling Technology，2014，51(6)：58-64.(in Chinese))
[13]	中华人民共和国国家标准编写组．GB/T 50218—2014工程岩体分级标准[S]. 北京：中国计划出版社，2015.(The National Standards Compilation Group of People¢s Republic of China. GB/T 50218—2014 Standard for engineering classification of rock mass[S].Beijing： China Planning Press，2015.(in Chinese))
[14]	刘泉声，刘建平，潘玉丛，等.硬岩隧道掘进机性能预测模型研究进展[J]. 岩石力学与工程学报，2016，35(增1)：2767-2786.(LIU Quansheng，LIU Jianping，PAN Yucong，et al. Research advances of tunnel boring machine performance prediction models for hard rock[J]. Chinese Journal of Rock Mechanics and Engineering，2016，35(Supp.1)：2767-2786.(in Chinese))
[15]	KLEINS，SCHMOLL M，AVERYT. TBM performance at four hard rock tunnels in California[C]// Rapid Excavation and Tunnelling Conference，[S. l.]：Soc for Mining，Metallurgy andExploration Inc.，1995：61-75.
[16]	BRULAND A. Hard rock tunnel boring[Ph.D Thesis][D]. Trondheim：Norwegian University of Science and Technology，1998.
[17]	ROSTAMI J. Development of a force estimation model for rock fragmentation with disc cutters through theoretical modeling and physical measurement of crushed zone pressure[Ph.D Thesis][D]. Golden：Colorado School of Mines，1997.
[18]	FARROKH E，ROSTAMI J，LAUGHTON C. Study of various models for estimation of penetration rate of hard rock TBMs[J]. Tunnelling and Underground Space Technology，2012，30(1)：110-123.
[19]	YAGIZ S. Utilizing rock mass properties for predicting TBM performance in hard rock condition[J]. Tunnelling and Underground Space Technology，2008，23(3)：326-339.
[20]	GONG Q M，ZHAO J. Development of a rock mass characteristics model for TBM penetration rate prediction[J]. International Journal of Rock Mechanics and Mining Sciences，2009，46(1)：8-18.
[21]	HASSANPOUR J，ROSTAMI J，KHAMEHCHIYAN M，et al. Developing new equations for TBM performance prediction in carbonate-argillaceous rocks：a case history of Nowsood water conveyance tunnel[J]. Geomechanics and Geoengineering：An International Journal，2009，4(4)：287-297.
[22]	HASSANPOUR J，ROSTAMI J，KHAMEHCHIYAN M，et al. TBM performance analysis in pyroclastic rocks：a case history of Karaj water conveyance tunnel[J]. Rock Mechanics and Rock Engineering，2010，43(4)：427-445.
[23]	HASSANPOUR J，ROSTAMI J，ZHAO J. A new hard rock TBM performance prediction model for project planning[J]. Tunnelling and Underground Space Technology，2011，26(5)：595-603.
[24]	刁振兴，薛亚东，王建伟. 引汉济渭工程岭北隧洞TBM利用率分析[J].隧道建设，2015，35(增2)：1 361-1368.(DIAO Zhenxing，XUE Yadong，WANG Jianwei. Analysis on TBM availability in construction of Lingbei tunnel of Hanjiang River—Weihe River waterconveyance project[J]. Tunnel Construction，2015，35(Supp.2)：1 361-1368.(in Chinese))
	[1]