Tuo Mingxing, Peng Zhihao, Deng Zhiyun, Liu Baoguo, Chen Junwu
The multi-arch tunnel without middle drift is widely used due to its high construction efficiency and excellent space utilization. However, during large-section excavation, challenges such as surrounding rock stability, stress transformation, and the impact of subsequent tunnel blasting on the preceding tunnel structure become critical. Therefore,this study systematically analysis the structural characteristics, construction difficulties, and technical challenges of the double-arch tunnel without middle drift, proposing control measures, including optimized blasting schemes, adjusted excavation methods, and tunnel structure design. Results indicate that:The main issues in the construction of such tunnels center on complex stress transformation during large-section excavation, surrounding rock stability control, and the impact of subsequent tunnel blasting on the preceding tunnel. Large-section excavation faces challenges like complex stress transformation and difficulties in controlling surrounding rock stability, particularly the impact of subsequent tunnel blasting on the preceding tunnel and the complex forces on the middle wall, which require ensuring its strength, stiffness, and rational structural form. To ensure stability during construction, strict control of the construction step distance and excavation scheme of the subsequent tunnel is necessary, along with enhancing the overall strength and stability of the tunnel, with special attention to the middle wall junction. Attention should be paid to the load distribution characteristics and stress transformation mechanism of multi-arch tunnels without central guide, revealing the laws of mechanical behavior to optimize structural design schemes. In terms of blasting vibration, optimizing blasting schemes, improving excavation methods, and adjusting propagation paths can reduce the impact of blasting on the tunnel structure, improving construction efficiency and safety. However, further research is needed on the vibration response characteristics of the middle wall and the secondary lining of the preceding tunnel, as well as on isolation layer schemes. Furthermore, integrating artificial intelligence into double-arch tunnel construction without middle drift, utilizing image recognition technology based on convolutional neural networks and adaptive learning mechanisms, can enable real-time monitoring, risk prediction, and early warning for vulnerable areas like the middle wall, while optimizing blasting parameters to enhance construction efficiency and safety. This study provides valuable insights and references for improving the construction stability and intelligent development of double-arch tunnels without middle drift.