Real-time monitoring of axle linkage based on multi-source sensors analysis with response characteristics

doi:10.13474/j.cnki.11-2246.2024.0514

Abstract

Abstract: With the rapid development of China's infrastructure,especially the transportation industry,bridge health monitoring technology has also made breakthroughs,so that the safety of bridges in operation and the safety of people's lives and property have been effectively guaranteed. However,the bridge health monitoring system only monitors the characteristics of the bridge structure itself and the response information,does not take into account the situation of vehicles about to go on the bridge,and lacks a visual assessment of the risk of accidents. Therefore,taking the Erganhe Bridge as an example,based on multi-source sensors,this paper proposes a method of vehicle-bridge linkage monitoring,real-time monitoring of bridge response information and driving vehicle information,and uses sensor monitoring data to study bridge response characteristics. So a bridge health monitoring and management platform based on vehicle-bridge linkage is established in the Erganhe Bridge to provide demonstration applications for the safe operation of the bridge.

Key words: multi-source sensors, axle linkage, bridge monitoring, health monitoring, response characteristics

CLC Number:

P258

TU Liping, CAO Qing'an, TANG Bin, RAO Shaowen. Real-time monitoring of axle linkage based on multi-source sensors analysis with response characteristics[J]. Bulletin of Surveying and Mapping, 2024, 0(5): 77-84.

References

[1] 张劲泉,李鹏飞,董振华,等.服役公路桥梁可靠性评估的若干问题探究[J].土木工程学报,2019,52(S1):159-173.
[2] 邬晓光,徐祖恩.大型桥梁健康监测动态及发展趋势[J].长安大学学报(自然科学版),2003,23(1):39-42.
[3] FAULKNER L.Benicia-martinez bridge rehab challenges[J].California Builder & Engineer,2008,116(13):27-32.
[4] 李宏男,高东伟,伊廷华.土木工程结构健康监测系统的研究状况与进展[J].力学进展,2008,38(2):151-166.
[5] MYRVOLL F,DIBIAGIO E,HANSVOLD C.Instrumentation for monitoring the Skarnsundet cable-stayed bridge[C]//Proceedings of 1994 Instrumentation for monitoring the Skarnsundet cable-stayed bridge.Rotterdam:Balkema,1994:207-215.
[6] MURIÀ-VILA D,GÓMEZ R,KING C.Dynamic structural properties of cable-stayed Tampico bridge[J].Journal of Structural Engineering,1991,117(11):3396-3416.
[7] SHAHAWY M A,AROCKIASAMY M.Field instrumentation to study the time-dependent behavior in sunshine skyway Bridge I[J].Journal of Bridge Engineering,1996,1(2):76-86.
[8] ANDERSEN E Y, PEDERSEN L.Structural monitoring of the Great Belt East Bridge.In:JonKrokeborg,ed.[C]//Proceedings of the 3rd Symposium on Strait Crossing.Rotterdam:Balkema,1994:54-62.
[9] CATBAS N,AVCI O.A review of latest trends in bridge health monitoring[J].Proceedings of the Institution of Civil Engineers-Bridge Engineering,2023,176(2):76-91.
[10] ALI A,RASHID IRSHAD R,ABDU ALATTAAB A,et al.Data Reliability and Sensors Lifetime in Bridge Health Monitoring using LoRaWAN-Zigbee[J].Computers,Materials & Continua,2022,73(2):2663-2678.
[11] LAN Yifu,ZHANG Youqi,LIN Weiwei.Diagnosis algorithms for indirect bridge health monitoring via an optimized AdaBoost-linear SVM[J].Engineering Structures,2023,275:115239.
[12] CONGRESS S,PUPPALA A.Eye in the sky:condition monitoring of transportation infrastructure using drones[J].Proceedings of the Institution of Civil Engineers-Civil Engineering,2023,176(1):40-48.
[13] 苏强.基于荷载试验和健康监测系统的桥梁安全状态评估[J].中国公路,2019(17):100-103.
[14] 张春进.轻型监测系统在干线公路桥梁状态评估中的研究与应用[J].城市建设理论研究(电子版),2018(27):142.
[15] 岳青,朱利明.东海大桥健康监测系统桥梁健康状态评估方法[J].桥梁建设,2006,36(S2):166-170.
[16] ZHANG Xulong,CHENG Zihao,DU Li,et al.Progressive classifier mechanism for bridge expansion joint health status monitoring system based on acoustic sensors[J].Sensors (Basel,Switzerland),2023,23(11):5090.
[17] 胡顺仁,陈伟民,章鹏.桥梁结构状态健康监测系统差错控制研究[J].公路,2007,52(9):1-4.
[18] 雷电,赵俊杰,陈珍,等.中小跨径桥梁健康监测系统传感器布设方案[J].交通世界,2023(14):187-189,193.
[19] 刘兵.钢结构桥梁螺栓预紧力监测传感器开发研究[J].工程技术研究,2023,8(8):115-117.
[20] 许薛军.基于数字图像的道路工程构造物开裂与表面变形识别技术[D].广州:华南理工大学,2014.