理论与试验研究

基于数据融合的隧道结构安全性能感知体系框架

  • 罗彦斌 ,
  • 陈建勋 ,
  • 陈辉 ,
  • 王传武
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  • 长安大学 公路学院,西安 710061
罗彦斌(1980—),男,陕西千阳人,博士,教授,主要从事隧道工程、地下工程等领域的教学与科研工作。E-mail:lyb@chd.edu.cn
陈辉(1995—),男,陕西渭南人,博士生,主要从事隧道工程领域的研究工作。E-mail:15529256315@163.com

收稿日期: 2023-12-16

  网络出版日期: 2024-09-04

基金资助

国家自然科学基金(52278394,41831286)

The Framework of Tunnel Structure Safety Performance Perception System Based on Data Fusion

  • Luo Yanbin ,
  • Chen Jianxun ,
  • Chen Hui ,
  • Wang Chuanwu
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  • School of Highway, Chang'an University, Xi'an 710061, P.R. China

Received date: 2023-12-16

  Online published: 2024-09-04

摘要

随着交通基础设施建设持续扩大,大量隧道进入养护维修高峰期,结构安全风险呈滚动式周期性爆发趋势。目前隧道结构健康监测信息化和智能化程度较低,安全性能感知困难,严重影响了隧道的正常运维。本文立足于隧道结构健康监测和决策需求,提出了一种基于数物交互和数据融合的隧道结构安全性能感知体系框架。首先对隧道结构受力状态感知技术及其误差传播规律进行分析,并采用数物空间交互试验对支护结构各构件相互力学关系进行研究,并基于此建立多源数据各监测量之间的数学模型,对隧道整体结构和各构件的安全性能进行评估。结构安全感知体系可为隧道安全防灾和运维管理提供决策依据,对提高隧道工程现代化、信息化、智慧化管理水平具有重要意义。

本文引用格式

罗彦斌 , 陈建勋 , 陈辉 , 王传武 . 基于数据融合的隧道结构安全性能感知体系框架[J]. 地下空间与工程学报, 2024 , 20(4) : 1097 -1107 . DOI: 10.20174/j.JUSE.2024.04.05

Abstract

With the continuous development of transportation infrastructure building, a large number of tunnels have entered the peak period of maintenance and repair, and structural safety threats are bursting on a regular basis. However, the present level of information and intelligence of tunnel structural health monitoring is inadequate, making it difficult to detect safety performance, which has a negative impact on the tunnel's regular operation and maintenance. According to the tunnel structure health monitoring and decision-making demands, this study presents a framework for tunnel structure safety performance perception system based on numerical-physical coupling method and data fusion. First, the tunnel structure force state perception technology and sensor error propagation law are explored, and the numerical-physical coupling test is used to examine the mutual mechanical relationship of each element of the support structure. Then, the mathematical model and data fusion platform between each monitoring quantity of multivariate data are established. Finally, the overall tunnel structure and each component's safety performance was assessed. The structural safety performance perception system can serve as a foundation for decision making in tunnel disasters prevention and operation management, meanwhile, it is critical to enhance the degree of modernization, informatization and intelligent tunnel engineering management.

参考文献

[1]中华人民共和国交通运输部. 2021年交通运输行业发展统计公报 [EB/OL]. https://xxgk.mot.gov.cn/2020/jigou/zhghs/202205/t20220524_3656659.html, 2022-06-13. (Ministry of transport of the people's Republic of China. Statistical bulletin of transportation industry development in 2021[EB/OL]. https://xxgk.mot.gov.cn/2020/jigou/zhghs/202205/t20220524_3656659.html, 2022-06-13. (in Chinese))
[2]巩江峰, 唐国荣, 王伟, 等. 截至2021年底中国铁路隧道情况统计及高黎贡山隧道设计施工概况[J]. 隧道建设(中英文), 2022, 42(3): 508-517. (Gong Jiangfeng, Tang Guorong, Wang Wei, et al. Statistics of China's railway tunnels by the end of 2021 and design & construction overview of Gaoligongshan tunnel[J]. Tunnel Construction, 2022, 42(3): 508-517. (in Chinese))
[3]洪开荣,冯欢欢.中国公路隧道近10 年的发展趋势与思考[J].中国公路学报, 2020, 33(12): 62-76. (Hong Kairong, Feng Huanhuan. Development trends and views of highway tunnels in China over the past decade[J]. China Journal of Highway and Transport, 2020, 33(12): 62-76. (in Chinese))
[4]陈湘生, 徐志豪, 包小华,等. 中国隧道建设面临的若干挑战与技术突破[J]. 中国公路学报, 2020, 33(12): 1-14. (Chen Xiangsheng, Xu Zhihao, Bao Xiaohua, et al. Challenges and technological breakthroughs in tunnel construction in China[J]. China Journal of Highway and Transport, 2020, 33(12): 1-14. (in Chinese))
[5]吴智深. 结构健康监测先进技术及理论[M]. 北京:科学出版社, 2015. (Wu Zhishen. Advanced structural health monitoring technology and theory[M]. Beijing: Science Press, 2015. (in Chinese))
[6]伊廷华. 结构健康监测指南[M]. 北京:高等教育出版社, 2021. (Yi Tinghua. Structural health monitoring[M]. Beijing: Higher Education Press, 2021. (in Chinese))
[7]夏才初, 潘国荣. 岩土与地下工程监测[M]. 北京: 中国建筑工业出版社, 2017. (Xia Caichu, Pan Guorong. Geotechnical and underground engineering monitoring [M]. Beijing: China Architecture & Building Press, 2017. (in Chinese))
[8]中国国家标准化管理委员会. 土工试验仪器岩土工程仪器振弦式传感器通用技术条件(GB/T 13606—2007)[S]. 北京: 中国标准出版社, 2007. (Standardization Administration of the People's Republic of China. Instrument for geotechnical engineering—general specifications of vibrating wire sensor[S]. Beijing: Standards Press of China, 2007. (in Chinese))
[9]Feng J, Qu G, Potkonjak M. Sensor calibration using nonparametric statistical characterization of error models[A]// In Proceedings of the IEEE Sensors[C]. IEEE Sensors 2004 Conference, 2004: 1456-1459.
[10]王浩. 地下工程监测中的数据分析和信息管理、预测预报系统[D]. 武汉: 中国科学院武汉岩土力学研究所, 2007. (Wang Hao. Data analysis and information management andprediction software system for underground engineering monitoring[D]. Wuhan: Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, 2007. (in Chinese))
[11]李明, 陈卫忠, 杨建平. 隧道结构在线监测数据分析方法研究[J]. 岩土力学, 2016, 37(4): 1208-1216. (Li Ming, Chen Weizhong Z, Yang Jianping. An analysis method for the online monitoring data of tunnel structure[J]. Rock and Soil Mechanics, 2016, 37(4): 1208-1216. (in Chinese))
[12]Beravs T, Podobnik J, Munih M. Three-axial accelerometer calibration using kalman filter covariance matrix for online estimation of optimal sensor orientation[J]. IEEE Transactions on Instrumentation and Measurement, 2012, 61(9): 2501-2511.
[13]朱永全, 景诗庭, 张清. 时间序列分析在隧道施工监测中的应用[J]. 岩石力学与工程学报, 1996(4): 50-56. (Zhu Yongquan, Jing Shiting, Zhang Qing. Application of time series analysis method to measured displacement in tunneling[J]. Chinese Journal of Rock Mechanics and Engineering, 1996(4): 50-56. (in Chinese))
[14]张鹏, 李献勇, 陈剑平. 基于小波降噪的隧道围岩监测数据分析[J]. 吉林大学学报(地球科学版), 2008(6): 1010-1014. (Zhang Peng, Li Xianyong, Chen Jianping. Monitoring data analysis of tunnel surrounding rock based on wavelet denoising[J]. Journal of Jilin University(Earth Science Edition), 2008(6): 1010-1014. (in Chinese))
[15]闫治国, 王林夕. 大型地下工程结构整体静力响应问题的数物融合试验方法[J]. 东南大学学报(自然科学版), 2022, 52(5): 866-874. (Yan Zhiguo, Wang Linxi. Numerical-physical coupling test method for structural static response of large underground structure[J]. Journal of Southeast University(Natural Science Edition), 2022, 52(5): 866-874. (in Chinese))
[16]Wang T, Nakashima M. Flexible substructure online hybrid test system using conventional testing devices[J]. Earthquake Engineering and Engineering Vibration, 2013, 12(3): 341-350.
[17]王林夕, 张通, 闫治国. 大型隧道结构火灾高温力学行为的数物融合试验方法初探[J]. 现代隧道技术, 2020, 57(增1): 787-792. (Wang Linxi, Zhang Tong, Yan Zhiguo. Preliminary study on numerical- physical coupling experimental method of tunnel mechanical properties under fire condition[J]. 2020, 57(Supp.1): 787-792. (in Chinese))
[18]周心培. 隧道衬砌厚度与安全系数等关系的分析[J]. 铁道标准设计通讯, 1982 (11): 19-22. (Zhou Xinpei. Analysis of the relationship between tunnel lining thickness and safety factor[J]. Railway Standard Design, 1982 (11): 19-22. (in Chinese))
[19]杨成永, 刘维宁, 张弥. 隧道素砼衬砌结构的极限状态[J]. 北方交通大学学报, 1999(4): 59-61. (Yang Chengyong, Liu Weining, Zhang Mi. On limit states of tunnel concrete lining structures[J]. Journal of Beijing Jiaotong University, 1999(4): 59-61. (in Chinese))
[20]肖明清. 复合式衬砌隧道的总安全系数设计方法探讨[J]. 铁道工程学报, 2018, 35(1): 84-88. (Xiao Mingqing. Discussion on design method of general safety factor of composite lining tunnel[J]. Journal of Railway Engineering Society, 2018, 35(1): 84-88. (in Chinese))
[21]Jovičić V, Šušteršič J, Vukelič Ž. The application of fiber reinforced shotcrete as primary support for a tunnel in flysch [J]. Tunnelling and Underground Space Technology, 2009, 24(6): 723-730.
[22]Oreste P P. A procedure for determining the reaction curve of shotcrete lining considering transient conditions[J]. Rock Mechanics and Rock Engineering, 2003, 36(3): 209-236.
[23]扈世民. 基于收敛-约束法地铁区间隧道初期支护安全性研究[J]. 铁道学报, 2015, 37(10): 117-121. (Hu Shimin. Research on safety of initial support in metro regional tunnel based on convergence-confinement method[J]. Journal of the China Railway Society, 2015, 37(10): 117-121. (in Chinese))
[24]徐帮树, 杨为民, 王者超, 等. 公路隧道型钢喷射混凝土初期支护安全评价研究[J]. 岩土力学, 2012, 33(1): 248-254. (Xu Bangshu, Yang Weimin, Wang Zhechao, et al. Study of initial support safety evaluation about shape steel reinforced shotcrete in highway tunnel[J]. Rock and Soil Mechanics, 2012, 33(1): 248-254. (in Chinese))
[25]杨成永, 欧阳杰, 陆景慧. 隧道型钢钢架初期支护安全性评价[J]. 西南交通大学学报, 2014, 49(2): 254-259. (Yang Chengyong, Ouyang Jie, Lu Jinghui. Assessment on safety of steel reinforced shotcrete support for tunnels[J]. Journal of Southwest Jiaotong University, 2014, 49(2): 254-259. (in Chinese))
[26]关宝树. 隧道工程维修管理要点集[M]. 北京: 人民交通出版社, 2004. (Guan Baoshu. Collection of key issues in tunnel maintenance [M]. Beijing: China Communications Press, 2004. (in Chinese))
[27]姜绍飞.结构健康监测-智能信息处理及应用[J]. 工程力学, 2009, 26(增2): 184-212. (Jiang Shaofei. Structural health monitoring-intelligent information processing and application[J]. Engineering Mechanics, 2009, 26(Supp.2), 184-212. (in Chinese))
[28]翟翌立, 戴逸松. 多传感器数据自适应加权融合估计算法的研究[J]. 计量学报, 1998(1): 70-76. (Zhai Yili, Dai Yisong. Study of adaptive weighted fusion estimated algorithm of multisensor data[J]. Acta Metrologica Sinica, 1998(1): 70-76. (in Chinese))
[29]李惠, 周文松, 欧进萍, 等. 大型桥梁结构智能健康监测系统集成技术研究[J]. 土木工程学报, 2006(2): 46-52. (Li Hui, Zhou Wensong, Ou Jinping, et al. A study on system integration technique of intelligent monitoring systems for soundness of long-span bridges [J]. China Civil Engineering Journal, 2006(2): 46-52. (in Chinese))
[30]Huang H W, Xie X, Zhang D M, et al. Multi-sensor data fusion based assessment on shield tunnel safety[J]. Smart Structures and Systems, 2019, 24(6): 693-707.
[31]谢欣, 吕波, 王利宁, 等. 基于数据融合的山岭隧道围岩稳定性评价方法[J]. 地下空间与工程学报, 2020, 16(4): 1108-1115. (Xie Xin, Lv Bo, Wang Linling, et al. Data fusion based surrounding rock stability assessment on a deep burden tunnel[J]. Chinese Journal of Underground Space and Engineering, 2020, 16(4): 1108-1115. (in Chinese))
[32]朱永全, 景诗庭, 张清. 时间序列分析在隧道施工监测中的应用[J]. 岩石力学与工程学报, 1996, 12(4): 353-359. (Zhu Yongquan, Jing Shiting, Zhang Qing. Appilication of time series analysis method to measured displacement in tunneling[J]. Chinese Journal of Rock Mechanics and Engineering, 1996, 12(4): 353-359. (in Chinese))
[33]靳晓光, 李晓红, 高芃, 等. 隧道围岩位移的灰色优化模型预测[J]. 重庆大学学报(自然科学版), 2002(1): 1-5. (Jin Xiaoguang, Li Xiaohong, Gao Fan, et al. Application of grey majorized model in tunnel surrounding rock displacement forecasting[J]. Journal of Chongqing University, 2002(1): 1-5. (in Chinese))
[34]马莎, 肖明. 基于突变理论和监测位移的地下洞室稳定评判方法[J]. 岩石力学与工程学报, 2010, 29(增2): 3812-3819. (Ma Sha, Xiao Ming. Judgment method or stability of underground cavern based on catastrophe theory and monitoring displacement[J]. Chinese Journal of Rock Mechanics and Engineering, 2010, 29(Supp.2): 3812-3819. (in Chinese))
[35]王心飞,王文广,刘新荣,等.隧道围岩失稳的突变理论分析[J].地下空间与工程学报,2008,4(3):425-430.(Wang Xinfei,Wang Wenguang,Liu Xinrong,et al.Mutation theoretical analysis of tunnel surrounding rock instability[J].Chinese Journal of Underground Space and Engineering,2008,4(3):425-430.(in Chinese))
[36]田大鹏,邓廷邦,李德宏,等.基于PSO-MSVR和突变理论的硐室支护参数优化[J].地下空间与工程学报,2022,18(增2):587-595.(Tian Dapeng,Deng Tingbang,Li Dehong,et al.Support parameters optimization for chamber based on PSO-MSVR and catastrophe theory[J].Chinese Journal of Underground Space and Engineering,2022,18(Supp.2):587-595.(in Chinese))
[37]于本福,闫相祯,杨秀娟.基于突变理论的水封储油洞室稳定性分析[J].地下空间与工程学报,2016,12(6):1570-1576,1585.(Yu Benfu,Yan Xiangzhen,Yang Xiujuan.Stability analysis of the water-sealed oil storage cavern by catastrophe theory[J].Chinese Journal of Underground Space and Engineering,2016,12(6):1570-1576,1585.(in Chinese))
[38]尹玫, 朱合华, 闫治国. 盾构隧道全寿命周期成本分析方法研究[J]. 地下空间与工程学报, 2010, 6(增1): 1393-1397. (Yin Wei, Zhu Hehua, Yan Zhiguo. Study on the LCCA method for shield tunnel[J]. Chinese Journal of Underground Space and Engineering, 2010, 6(Supp.1): 1393-1397. (in Chinese))
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