| [1] |
XU Jin, ZHANG Yihan, FANG Yong, WANG Shimin, LIU Sijin.
Evolution of Collaborative Innovation and Hotspot Trends in China’s Shield Tunneling Field Based on Social Network Analysis
[J]. Tunnel Construction, 2026, 46(5): 919-934.
|
| [2] |
WANG Shuangwang, YANG Bin, ZHONG Qingfeng, CHEN Liangwu.
Intelligent Fault Diagnosis of Low-Speed, Heavy-Load, Ultra-Large Rolling Bearings Using a Channel Attention Mechanism and a One-Dimensional Convolutional Neural Network
[J]. Tunnel Construction, 2026, 46(5): 985-993.
|
| [3] |
GAO Pan, LI Hanbing, WU Chongyao, SHANG Wei, XIE Tao.
Key Technologies for Information Transmission in Construction of Long and Large Tunnels
[J]. Tunnel Construction, 2026, 46(5): 1085-1095.
|
| [4] |
LIU Sijin, TAN Shuai, WANG Huawei, LIU Songyu, ZHU Xuehao, LIAN Xin.
Data-Driven Multi-Objective Optimization Decision-Making for Large-Diameter Slurry Shield Tunneling Performance
[J]. Tunnel Construction, 2026, 46(4): 704-718.
|
| [5] |
LIU Hongzhi, HAO Shuning, GUO Yidong, LI Xinggao.
Rock Chip Geometric Feature Recognition in Shield Tunneling Based on Instance Segmentation
[J]. Tunnel Construction, 2026, 46(3): 478-490.
|
| [6] |
CHEN Zhuo, ZHANG Xiaoping, XIE Xuan, LIU Yongbin, WANG Kun, SU Peng.
Intelligent Recognition Method for Rock Discontinuities Based on Neural Network and Density Peak Clustering
[J]. Tunnel Construction, 2026, 46(2): 359-370.
|
| [7] |
XIONG Yangyang, CHEN Haijun, HAN Zengqiang, CHEN Shuangyuan.
Intelligent Recognition of Structural Planes in Borehole Images Using an Enhanced U-Net Network
[J]. Tunnel Construction, 2025, 45(S2): 269-279.
|
| [8] |
ZHOU Zhong, LI Shishuai, LU Wanghao.
A Method for Data Augmentation and Intelligent Recognition of Crack Defects in Highway Tunnel Linings by Integrating Deep Convolutional Generative Adversarial Networks and Dual-Task YOLO Model
[J]. Tunnel Construction, 2025, 45(S2): 380-389.
|
| [9] |
LONG Haitao, ZHANG Shishu, MA Chunchi, LI Tianbin, LIU Zhuangyuan, LIU Yang.
Precise Dual-Mode Classification of
Surrounding Rocks of Tunnels Bored by Double-Shield TBM Based on High Resolution Neural Networks
[J]. Tunnel Construction, 2025, 45(S1): 168-181.
|
| [10] |
ZHENG Xuting, SUN Sanxiang, CUI Shankun.
Analysis and Application of Tunnel Construction
Ventilation Based on Generative Adversarial Networks
[J]. Tunnel Construction, 2025, 45(S1): 330-339.
|
| [11] |
ZHU Yeting, ZHAO Jian, BI Xiangli, ZHU Yanfei, YU Ning, WANG Xiuzhi, HUANG Dezhong, QIN Yuan.
Engineering Verification of Parallel Control Technology for Automatic Shield Tunneling and Segment Assembly
[J]. Tunnel Construction, 2025, 45(8): 1602-1614.
|
| [12] |
GUO Weishe, XIE Tao, WANG Kai, LI Fengyuan, LI Shu′ao, BAO Peng, JIA Lianhui.
Progress of Researches on Intelligent Slurry Shield Driving Technologies
[J]. Tunnel Construction, 2025, 45(7): 1229-1248.
|
| [13] |
ZHU Yeting, BI Xiangli, ZHU Yanfei, YU Ning, WU Di, QIN Yuan, WANG Zhihua, JIANG Haibo.
Retrofit and Engineering Practice of Automatic Tunneling Attitude Control for Existing Metro Shield Machines
[J]. Tunnel Construction, 2025, 45(7): 1378-1386.
|
| [14] |
HE Junyuan, LIANG Di, YANG Guihua, HE Shiyong, LAI Zhongyu, ZHANG Chaoyu, WANG Wei, ZENG Meiting, WANG Sheng.
Prediction of Water Inrush
Risk Level Based on a Convolutional Neural Network-Long Short-Term Memory Network Hybrid Model for Karst Tunnels: A Case Study of Wufu Tunnel
[J]. Tunnel Construction, 2025, 45(6): 1131-1141.
|
| [15] |
LU Shibo, XU Yuanxian, DONG Jianjun, HOU Longlong, REN Rui, CHEN Zhilong.
Network Design and Freight Operating Performance of a Metro-Based
Urban Underground Logistics System
[J]. Tunnel Construction, 2025, 45(6): 1192-1201.
|
