To deeply investigate the temporal changes of surrounding rock disturbance in the construction process of subway tunnel, the finite element numerical simulation was conducted to analyse the stress and strain changes induced by excavation, and the comparison of crown settlements at different excavation stages was performed, and then the displacement and stress state of surrounding rock during the excavation process was summarized. The evolution model for surrounding rock disturbance was proposed and validated by integrating wavelet analysis with the auto-regressive integrated moving average (ARIMA) model. The results indicate that: With tunnel excavation progresses, the stress distribution in the surrounding rock undergoes significant reorganization. Stress concentrations are particularly evident after initial support installation, especially following the completion of upper bench excavation. However, employing a stepwise excavation strategy with enlarged arch foot benches effectively reduces the scope of surrounding rock stress and stress concentration phenomena, thereby minimizing the impact of stress and strain changes on surrounding rock stability during excavation. Furthermore, the evolutionary model based on the W-ARIMA method successfully captures the overall dynamic changes of tunnel deformation. These findings can provide a new perspective and methodology for surrounding rock stability management in tunnel construction.
Liu Wentao
,
Zhang Lie
,
Zhang Shuxiang
,
Zhang Bo
,
Yang Bocao
. Study on Temporal Changing Regulations and Evolution Model of Surrounding Rock Disturbance in Subway Tunnel[J]. Chinese Journal of Underground Space and Engineering, 2025
, 21(S1)
: 268
-276
.
DOI: 10.20174/j.JUSE.2025.S1.32
[1] 张成良, 赵任旭, 杨平, 等. 浅埋大断面隧道围岩稳定性数值模拟及现场监控量测[J]. 工程勘察, 2021, 49(3): 26-31.
[2] 张乐宝. 地铁隧道施工地表沉降预测模型及实证研究[D]. 武汉: 华中科技大学工程管理, 2011.
[3] 王震. 正阳隧道围岩变形与支护结构受力特性研究[D]. 重庆: 重庆交通大学, 2009.
[4] Li X, Zhang Y, Wang Y, et al. Numerical investigation of surrounding rock deformation during tunnel excavation using coupled thermal-hydraulic-mechanical modeling[J]. Tunnelling and Underground Space Technology, 2022, 124: 104520.
[5] Wu Q, Zhang L, Duan Z. Investigation of stress redistribution and deformation characteristics during deep tunnel excavation using numerical and field monitoring data[J]. International Journal of Rock Mechanics and Mining Sciences, 2022, 155: 105053.
[6] 夏恩明. 城市地铁隧道围岩稳定性研究[D]. 重庆: 重庆大学, 2012.
[7] 马宏源. 大直径卸压钻孔时变特性与动静载荷响应规律研究[D]. 北京: 煤炭科学研究总院, 2023.
[8] 程晋国. 停采线侧村庄压煤采动覆岩隔离注浆充填钻孔布置的研究[D]. 徐州: 中国矿业大学, 2015.
[9] 谢军, 李刚, 姜安琪. 变直径卸压钻孔卸压参数模拟研究[J]. 煤矿安全, 2023,54(7):85-92.
[10] 袁枫斌, 王建. 超大断面山岭隧道开挖工法设计研究[J]. 交通节能与环保, 2023,19(5):262-265.
[11] 吴梦军, 陈彰贵, 许锡宾, 等. 公路隧道围岩稳定性研究现状与展望[J]. 重庆交通学院学报, 2003,22(2):24-28.
[12] 房倩, 粟威, 张顶立, 等. 基于现场监测数据的隧道围岩变形特性研究[J]. 岩石力学与工程学报, 2016,35(9):1884-1897.
[13] Zhao J, Wang S, Liu H. Wavelet-based denoising and prediction of tunnel deformation data using hybrid deep learning model[J]. Measurement, 2021, 176:109181.
[14] Gao F, Liu Y, He C. Monitoring and analysis of tunnel deformation based on time-frequency analysis and long short-term memory networks[J]. Automation in Construction, 2023, 147: 104771.
[15] Chen Y, Huang M, Li G. Time-series forecasting of tunnel displacement based on hybrid wavelet transform and ARIMA model[J]. Journal of Civil Structural Health Monitoring, 2021, 11: 463-475.
[16] 胡国忠, 李康, 许家林, 等. 覆岩采动裂隙空间形态反演方法及在瓦斯抽采中的应用[J]. 煤炭学报, 2023,48(2):750-762.
[17] 童碧. 复杂顶板高位定向长钻孔全程下筛管技术实践[J]. 煤矿安全, 2021,52(9):85-89.
[18] 斯建宁, 张龙. 基于ARIMA时序模型的隧道结构变形预测[J]. 资源信息与工程, 2019,34(2):148-150
[19] 章浙涛. 小波分析理论及其在变形监测中的应用研究[D]. 长沙: 中南大学, 2014.
[20] 郑健, 谢先武, 刘胜. 小波分析法高铁沉降变形预测[J]. 测绘科学, 2016,41(4):161-164.
[21] 袁明月, 文鸿雁, 周吕, 等. 基于阈值改进的小波变换在高铁变形分析中的应用[J]. 桂林理工大学学报, 2015(1): 107-110.
[22] 徐超, 秦亮亮, 王凯, 等. 非均匀应力场瓦斯抽采钻孔扰动煤体变形破坏特征[J]. 煤炭学报, 2023,48(4):1538-1550.
[23] 石占山, 梁冰, 王岩, 等. 加载与卸载过程瓦斯抽采钻孔变形特征[J]. 煤炭学报, 2017,42(6):1458-1465.
[24] 王佳. Mallat算法中有限长信号边界处理问题的研究与应用[D]. 北京: 北京交通大学, 2010.
[25] 向华琦. 基于时间序列分析法的大坝变形监测数据分析研究[D]. 西安: 西北农林科技大学, 2012.
[26] 朱军桃, 李朋成. 基于AR模型的建筑物沉降预测[J]. 桂林: 桂林理工大学学报, 2014(1):85-88.
[27] 刘汉丽, 裴韬, 周成虎. 用于时间序列聚类分析的小波变换和特征量提取方法[J]. 测绘科学技术学报, 2014(4):372-376, 382.
