Field Test of Segment Characteristics for Shield Advancing in Mined Tunnel

Abstract

Abstract:

In the construction of a certain tunnel in Shenzhen Metro, a field test of segment characteristics was conducted for the novel shield after the drill and blast composite construction method. The concrete strain gauge, earth pressure cell and reinforced axial dynamometer were installed. The variation laws for the longitudinal strain of girth contact surface for concrete segment, earth pressure and axial force of reinforced instrument were monitored and discussed. The results show that the variation with time of monitoring values can be divided into two stages; the overall prepressure basically meets the requirement; the longitudinal strain of girth contact surface for concrete segment and earth pressure are very unevenly distributed; grouting can improve and control the force and floating of segment; reinforcement design of segment should be optimized as the measured axial force is much smaller than its design value; a number of orderly tightening ring bolts and grouting behind wall segment are needed.

Key words：

Key words:composite method,segment,concrete strain,earth pressure,axial force of reinforced instrument

CLC Number:

U 455.4

ZHANG Changguang1，ZHANG Qinghe2，ZHANG Zhenguang3. Field Test of Segment Characteristics for Shield Advancing in Mined Tunnel[J]. Journal of Shanghai Jiaotong University, 2013, 47(09): 1454-1458.

References

［1］汪茂祥. 盾构通过矿山法施工隧道段关键技术［J］. 现代隧道技术, 2008, 45(1): 6770.

WANG Maoxiang. Key techniques for a shield to pass through the tunnel section excavated by drill and blast ［J］. Modern Tunnelling Technology, 2008, 45(1): 6770.

［2］黄德中. 盾构法与矿山法相结合施工技术［J］. 地下工程与隧道, 2005, 19(2): 2932.

HUANG Dezhong. TBM tunneling and drill and blast method combined construction techniques ［J］. Underground Engineering and Tunnels, 2005, 19(2): 2932.

［3］张常光, 徐飞, 张庆贺, 等. 盾构在矿山法隧道中长距离推进关键技术浅析［J］. 隧道建设, 2010, 30(S1): 194198.

ZHANG Changguang, XU Fei, ZHANG Qinghe, et al. Key technology for shield advancing in long mined tunnel sections ［J］. Tunnel Construction, 2010, 30(S1): 194198.

［4］Leung C, Meguid M A. An experimental study of the effect of local contact loss on the earth pressure distribution on existing tunnel linings ［J］. Tunnelling and Underground Space Technology, 2011, 26(1): 139145.

［5］Molins C, Arnau O. Experimental and analytical study of the structural response of segmental tunnel linings based on an in situ loading test. Part 1: Test configuration and execution ［J］. Tunnelling and Underground Space Technology, 2011, 26(6): 764777.

［6］Arnau O, Molins C. Experimental and analytical study of the structural response of segmental tunnel linings based on an in situ loading test. Part 2: Numerical simulation ［J］. Tunnelling and Underground Space Technology, 2011, 26(6): 778788.

［7］Zhao K, Janutolo M, Barla G. A completely 3D model for the simulation of mechanized tunnel excavation ［J］. Rock Mechanics and Rock Engineering, 2012, 45(4): 475497.

［8］周文波, 郑宜枫, 滕丽, 等. 双圆盾构隧道施工过程中管片力学性状的原位测试研究［J］. 力学季刊, 2005, 26(3): 459463.

ZHOU Wenbo, ZHENG Yifeng, TENG Li, et al. Mechanics characteristics study of segment in doubleOtube tunnel under insitu test method during its construction process ［J］. Chinese Quarterly of Mechanics, 2005, 26(3): 459463.

［9］唐孟雄, 陈如桂, 陈伟. 广州地铁盾构隧道施工中管片受力监测与分析［J］. 土木工程学报, 2009, 42(3): 118124.

TANG Mengxiong, CHEN Rugui, CHEN Wei. Stress monitoring and internal force analysis of Guangzhou metro shield tunnel segment during construction ［J］. China Civil Engineering Journal, 2009, 42(3): 118124.

[1]	ZHU Yeting, MIN Rui, QIN Yuan, WU Wenfei, YUAN Peng, ZHAI Yixin, ZHU Yanfei.Development and Application of a Model Test Platform of Synchronous Technology Combining Shield Tunneling with Segment Assembling[J]. Journal of Shanghai Jiao Tong University, 2022, 56(7): 897-907.
[2]	YANG Qirun, LI Mingguang, CHEN Jinjian, WU Hang.Interaction Mechanisms of Synchronously Performed Adjacent Excavations[J]. Journal of Shanghai Jiao Tong University, 2022, 56(6): 722-729.
[3]	LI Gaoyang, JIA Aiting, HONG Bo, LI Xiangwen, GAO Jiapeng.Fast 3D Pose Estimation Method for High Speed GMAW of Large Box Girders[J]. Journal of Shanghai Jiao Tong University, 2022, 56(6): 794-800.
[4]	XU Hanqing (徐汉卿), YANG Ming∗ (杨明), DENG Liuyuan (邓琉元), LI Hao (李颢), WANG Chunxiang, (王春香), HAN Weibin (韩伟斌), YU Yuelong (于跃龙).Semantic Segmentation-Based Road Marking Detection Using Around View Monitoring System[J]. J Shanghai Jiaotong Univ Sci, 2022, 27(6): 833-843.
[5]	JIANG Zhiguo (蒋志国), CHANG Qing∗ (常青).USSL Net: Focusing on Structural Similarity with Light U-Structure for Stroke Lesion Segmentation[J]. J Shanghai Jiaotong Univ Sci, 2022, 27(4): 485-497.
[6]	KANG Jie* (亢洁), DING Jumin (丁菊敏), LEI Tao (雷涛),FENG Shujie (冯树杰), LIU Gang (刘港).Interactive Liver Segmentation Algorithm Based on Geodesic Distance and V-Net[J]. J Shanghai Jiaotong Univ Sci, 2022, 27(2): 190-201.
[7]	LÜ Chaofan, YAN Yingjie, LIN Li, CHAI Gang, BAO Jinsong.Design of Mandibular Angle Osteotomy Plane Based on Point Cloud Semantic Segmentation Algorithm[J]. Journal of Shanghai Jiao Tong University, 2022, 56(11): 1509-1517.
[8]	ZHANG Yue (张月), LIU Shijie (刘世界), LI Chunlai (李春来), WANG Jianyu (王建宇).Application of Deep Learning Method on Ischemic Stroke Lesion Segmentation[J]. J Shanghai Jiaotong Univ Sci, 2022, 27(1): 99-111.
[9]	ZHANG Junning, SU Qunxing, WANG Cheng, XU Chao, LI Yining.A Domain Adaptive Semantic Segmentation Network Based on Improved Transformation Network[J]. Journal of Shanghai Jiao Tong University, 2021, 55(9): 1158-1168.
[10]	ZHOU Junjie, YU Jianbo.Online Measurement of Machining Tool Wear Based on Machine Vision[J]. Journal of Shanghai Jiao Tong University, 2021, 55(6): 741-749.
[11]	PAN Shang, LIU Jinhao, ZHANG Qi, YE Guanlin.Development ofK₀Coefficient Measurement and Stress Path Test Function of Triaxial Apparatus[J]. Journal of Shanghai Jiao Tong University, 2021, 55(4): 372-379.
[12]	XU Jiangchang (许江长), HE Shamin (何莎敏), YU Dedong (于德栋), WU Yiqun (吴轶群), CHEN Xiaojun, (陈晓军).Automatic Segmentation Method for Cone-Beam Computed Tomography Image of the Bone Graft Region within Maxillary Sinus Based on the Atrous Spatial Pyramid Convolution Network[J]. J Shanghai Jiaotong Univ Sci, 2021, 26(3): 298-305.
[13]	ZHANG Yue (张月), LIU Shijie (刘世界), LI Chunlai (李春来), WANG Jianyu (王建宇).Rethinking the Dice Loss for Deep Learning Lesion Segmentation in Medical Images[J]. J Shanghai Jiaotong Univ Sci, 2021, 26(1): 93-102.
[14]	CONG Shanxue, XU Xuesong.Envelope Features of Response Amplitude of Hanging Underwater Slender Bodies in Upper End Horizontal Periodical Motion[J]. Journal of Shanghai Jiao Tong University, 2021, 55(1): 32-39.
[15]	LI Jingpei, CAO Xiaobing, LI Lin.Supporting Earth Pressures for Foundation Excavation Considering Suction Stress of Soil[J]. Journal of Shanghai Jiao Tong University(Science), 2020, 25(4): 486-494.