钻爆法隧道衬砌浇筑量的模型化估算

doi:10.13474/j.cnki.11-2246.2025.1214

测绘通报 ›› 2025, Vol. 0 ›› Issue (12): 82-87.doi: 10.13474/j.cnki.11-2246.2025.1214

• 工程测量分会年会优选论文 • 上一篇

钻爆法隧道衬砌浇筑量的模型化估算

赵翼鹏¹, 杜志刚², 张吴明³, 郭朝飞², 智志洋³, 常兵涛³, 恒正坤², 孙运通², 王秋实²

1. 河南理工大学测绘与国土信息工程学院, 河南焦作 454000;
2. 中铁隧道局集团有限公司, 广东广州 511458;
3. 中山大学遥感科学与技术学院, 广东珠海 519082

收稿日期:2025-06-27 发布日期:2025-12-31
通讯作者: 张吴明。E-mail:zhangwm25@mail.sysu.edu.cn
作者简介:赵翼鹏(1991—),男,博士,讲师,主要研究方向为隧道点云处理与模型化。E-mail:zyp2gz@hpu.edu.cn
基金资助:
中铁隧道局科技创新计划(隧研合2021-22);河南省高校基本科研业务费专项资金(NSFRF2502033);河南理工大学测绘科学与技术“双一流”学科创建项目(XJBS202507);河南理工大学自然科学基金(B2025-20)

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

ZHAO Yipeng¹, DU Zhigang², ZHANG Wuming³, GUO Chaofei², ZHI Zhiyang³, CHANG Bingtao³, HENG Zhengkun², SUN Yuntong², WANG Qiushi²

1. School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China;
2. China Railway Tunnel Group Co., Ltd., Guangzhou 511458, China;
3. School of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai 519082, China

Received:2025-06-27 Published:2025-12-31

摘要/Abstract

摘要： 在信息技术与工程建造深度融合的背景下,隧道施工正逐步实现智能化转型。然而,当前隧道衬砌台车位姿调整仍严重依赖人工经验,且衬砌混凝土超额浇筑问题突出。针对隧道衬砌施工中存在的难点问题,本文提出一种融合衬砌模型与隧道衬砌台车模型的多模型组合方法,构建了衬砌浇筑量估算模型,开展了对隧道衬砌施工过程的精确模拟与量化分析。试验以GTFS项目为例,采集了隧道衬砌不同施工期的点云数据,结合衬砌台车设计数据对案例项目的衬砌浇筑过程进行了施工模拟。结果表明,衬砌浇筑量估算结果满足隧道施工需求。本文方法为衬砌台车位姿调整与衬砌混凝土浇筑量估算提供决策依据,有效服务于隧道衬砌施工过程的数字化模拟与衬砌混凝土浇筑方案的合理制订。

关键词: 钻爆法隧道, 隧道衬砌, 隧道衬砌台车, 衬砌浇筑量, 数字化施工

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

中图分类号:

P237

赵翼鹏, 杜志刚, 张吴明, 郭朝飞, 智志洋, 常兵涛, 恒正坤, 孙运通, 王秋实. 钻爆法隧道衬砌浇筑量的模型化估算[J]. 测绘通报, 2025, 0(12): 82-87.

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.

参考文献

[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.

钻爆法隧道衬砌浇筑量的模型化估算

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

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 3

编辑推荐

Metrics

本文评价

[1]	张广伟. 一种探地雷达与深度学习的隧道衬砌健康评价方法[J]. 测绘通报, 2025, 0(3): 122-126,149.
[2]	胡荣明, 李鑫, 竞霞, 武建强, 魏青博. YOLOv7在探地雷达B-Scan图像解译中的应用[J]. 测绘通报, 2023, 0(8): 29-33.
[3]	韦景光, 李健明, 吴宇杰, 何君, 何振炬, 隗彦宏. 数字化施工在柳南高速公路改扩建工程中的应用[J]. 测绘通报, 2017, 0(7): 152-155.