Modeling estimation of tunnel lining pouring volume by borehole-blasting method

doi:10.13474/j.cnki.11-2246.2025.1214

Abstract

Abstract: In the context of the profound integration of information technology and engineering construction,the process of tunnel construction is undergoing a gradual intelligent transformation.However,the current method of tunnel lining construction relies heavily on manual experience to adjust the tunnel lining trolley position,and the problem of over-pouring lining concrete is prominent.In light of the challenges encountered in the field of tunnel lining construction,this paper puts forward a multi-model combination method that integrates the lining model and the tunnel lining cart model.The proposed approach entails the construction of a lining pouring volume estimation model,and the execution of precise simulation and quantitative analysis of the tunnel lining construction process.The validation experiment employs the GTFS project as a case study,utilizing point cloud data from various construction periods of the tunnel lining.The experiment then simulates the lining pouring process for the designated project,integrating the design data of the lining cart.The results show that the estimation of lining pouring volume meets the demand of tunnel construction.The approach provides a foundation for decision-making,facilitating the adjustment of the lining trolley position and the estimation of the concrete pouring volume.The method effectively supports the digital simulation of tunnel lining construction processes and the rational formulation of concrete pouring plans for the tunnel lining.

Key words: borehole-blasting method tunnel, tunnel lining, tunnel lining carts, lining pour volume, digital construction

CLC Number:

P237

ZHAO Yipeng, DU Zhigang, ZHANG Wuming, GUO Chaofei, ZHI Zhiyang, CHANG Bingtao, HENG Zhengkun, SUN Yuntong, WANG Qiushi. Modeling estimation of tunnel lining pouring volume by borehole-blasting method[J]. Bulletin of Surveying and Mapping, 2025, 0(12): 82-87.

References

[1] 朱合华, 凌加鑫, 朱梦琦, 等.钻爆法隧道智能建造: 最新技术与未来展望[J].现代隧道技术, 2024, 61(2):18-27.
[2] 朱庆, 张利国, 丁雨淋, 等.从实景三维建模到数字孪生建模[J].测绘学报, 2022, 51(6):1040-1049.
[3] 李鹏, 马建芳.实景三维宁夏建设与应用实践[J].时空信息学报, 2025, 32(2):214-222.
[4] 朱军, 吴鉴霖, 李志林, 等.国外三维测绘相关技术进展[J].测绘学报, 2025, 54(4):661-674.
[5] CAO Zhen, CHEN Dong, PEETHAMBARAN J, et al.Tunnel reconstruction with block level precision by combining data-driven segmentation and model-driven assembly[J].IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(10):8853-8872.
[6] 彭文祥.城市轨道交通智慧监护的数字底座构建与应用[J].上海国土资源, 2023, 44(2):126-133.
[7] 林述涛.跨海集群工程BIM协同管理平台架构研究[J].公路交通科技, 2018, 35(8):80-88.
[8] 钟宇, 陈健, 陈国良, 等.基于建筑信息模型技术的盾构隧道结构信息模型建模方法[J].岩土力学, 2018, 39(5):1867-1876.
[9] WANG Songchun, ZHANG Fa, QIN Ting.Research on the construction of highway traffic digital twin system based on 3D GIS technology[J].Journal of Physics:Conference Series, 2021, 1802(4):042045.
[10] 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.
[11] 魏杰.基于BIM的装配式地下结构设计与施工可视化研究[D].北京:北京建筑大学, 2023.
[12] YU Gang, WANG Yi, MAO Zeyu, et al.A digital twin-based decision analysis framework for operation and maintenance of tunnels[J].Tunnelling and Underground Space Technology, 2021, 116:104125.
[13] ZHANG Hao, ZHOU Yongqi, ZHU Huaxin, et al.Digital twin-driven intelligent construction:features and trends[J].SDHM Structural Durability and Health Monitoring, 2021, 15(3):183-206.
[14] FANG Liuyang, CHEN Jie.Research on three-dimensional parallel modeling algorithm with movable point cloud data[C]//Proceedings of 2016 International Symposium on Parallel and Distributed Computing (ISPDC).Fuzhou:IEEE, 2016:70-75.
[15] 潘俊华, 吴碧昆, 余先茂.徕卡MS60全站扫描仪在隧道施工测量中的应用[J].测绘与空间地理信息, 2023, 46(7):174-176.
[16] 马自军, 谯生有, 闻道荣.三维激光扫描仪在隧道工程施工中的应用[J].测绘通报, 2020(3):157-159.
[17] 杜志刚.隧道工程测量[M].北京:中国铁道出版社, 2025.
[18] 尤相骏, 詹登峰.一种新型三维激光扫描隧道测量点云坐标定位方法的精度评估[J].测绘通报, 2017(4):80-84.
[19] ZHAO Yipeng, LI Aiguang, DU Zhigang, et al.Joint structure detection and multi-scale clustering filtering for tunnel lining extraction from point clouds[J].IEEE Transactions on Intelligent Transportation Systems, 2024, 25(9):11214-11226.
[20] 朱海明, 王顺超, 王嘉晨, 等.基于数字孪生的山岭地区高速公路施工进度管理研究[J].土木建筑工程信息技术, 2023, 15(2):37-43.