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]	Tao Hongjie, Li Zhaofei, Qi Fei, Chen Jingjue, Zhou Hao. High Resolution Remote Sensing Image Segmentation Method with Improved DeepLabv3+ [J]. J Shanghai Jiaotong Univ Sci, 2026, 31(2): 348-358.
[2]	ZHOU Bowei, XING Guanyu, LIU Yanli. Rail Line Detection Algorithm Based on Improved CLRNet [J]. J Shanghai Jiaotong Univ Sci, 2025, 30(5): 923-934.
[3]	BAO Jiahan, SUN Deshang, HUANG Jianzhong, HU Zheng. FAST Algorithm for Accurate Corner Points Detection of Section Steel Based on Adaptive Threshold [J]. Journal of Shanghai Jiao Tong University, 2025, 59(5): 691-702.
[4]	Wu Changxue, Zhang Wenxi, Han Jiaozhi, Wang Hongyu. Multi-Consistency Training for Semi-Supervised Medical Image Segmentation [J]. J Shanghai Jiaotong Univ Sci, 2025, 30(4): 800-814.
[5]	Shao Dangguo, Yang Yuanbiao, Ma Lei, Yi Sanli. CT-MFENet: Context Transformer and Multi-Scale Feature Extraction Network via Global-Local Features Fusion for Retinal Vessels Segmentation [J]. J Shanghai Jiaotong Univ Sci, 2025, 30(4): 668-682.
[6]	Fan Xinggang, Liu Jiaxian, Li Chao, Yang Youdong, Gu Wenting, Jiang Xinyang. Computer Aided Diagnosis for COVID-19 in CT Images Utilizing Transfer Learning and Attention Mechanism [J]. J Shanghai Jiaotong Univ Sci, 2025, 30(3): 566-581.
[7]	WANG Wei, RUAN Yaduan, GU Peng, CHEN Qimei. Calculation of Maximum Crack Width Based on DAUNet Integrating Attention Mechanism [J]. Journal of Shanghai Jiao Tong University, 2025, 59(12): 1866-1877.
[8]	ZHAN Zehui, ZHONG Ming’en, YUAN Bingan, TAN Jiawei, FAN Kang. Detection of Roadside Vehicle Parking Violations Under Random Horizontal Camera Condition [J]. Journal of Shanghai Jiao Tong University, 2025, 59(10): 1568-1580.
[9]	YE Peng (叶鹏), FU Rongchang^∗ (富荣昌), WANG Zhaoyao (王召耀). Adjacent Segment Biomechanical Changes After Implantation of Cage Plus Plate or Zero-Profile Device in Different Segmental Anterior Cervical Discectomy and Fusion [J]. J Shanghai Jiaotong Univ Sci, 2025, 30(1): 166-174.
[10]	ZHAO Yinjie¹ (赵寅杰), HOU Runpingg¹ (侯润萍), ZENG Wanqin² (曾琬琴), QIN Yulei¹ (秦玉磊), SHEN Tianle² (沈天乐), XU Zhiyong² (徐志勇), FU Xiaolong^2* (傅小龙), SHEN Hongbin^1* (沈红斌). Positional Information is a Strong Supervision for Volumetric Medical Image Segmentation [J]. J Shanghai Jiaotong Univ Sci, 2025, 30(1): 121-129.
[11]	KE Jing¹(柯晶), ZHU Junchao² (朱俊超), YANG Xin¹(杨鑫), ZHANG Haolin³ (张浩林), SUN Yuxiang¹(孙宇翔), WANG Jiayi¹(王嘉怡), LU Yizhou⁴(鲁亦舟), SHEN Yiqing⁵(沈逸卿), LIU Sheng⁶(刘晟), JIANG Fusong⁷(蒋伏松), HUANG Qin⁸(黄琴). TshFNA-Examiner: A Nuclei Segmentation and Cancer Assessment Framework for Thyroid Cytology Image [J]. J Shanghai Jiaotong Univ Sci, 2024, 29(6): 945-957.
[12]	CHENG Xiangwei, ZHANG Daxu, DU Yonglong, GUO Hongbao, HONG Zhiliang. In-Situ X-Ray CT Characterization of Damage Mechanism of Plain Weave SiC_f/SiC Composites Under Compression [J]. Journal of Shanghai Jiao Tong University, 2024, 58(2): 232-241.
[13]	WANG Baokun, WANG Rulu, CHEN Jinjian, PAN Yue, WANG Lujie. Automatic Detection Method for Surface Diseases of Shield Tunnel Based on Deep Learning [J]. Journal of Shanghai Jiao Tong University, 2024, 58(11): 1716-1723.
[14]	GU Wen (顾闻), XU Yi∗ (徐奕). Retinal Vessel Segmentation via Adversarial Learning and Iterative Refinement [J]. J Shanghai Jiaotong Univ Sci, 2024, 29(1): 73-80.
[15]	XUE Yongboa (薛永波)，LIU Zhaob (刘钊)， LI Zeyanga (李泽阳)，ZHU Pinga* (朱平). CT Image Segmentation Method of Composite Material Based on Improved Watershed Algorithm and U-Net Neural Network Model [J]. J Shanghai Jiaotong Univ Sci, 2023, 28(6): 783-792.