基于倾角仪与测量机器人的异形桥变形监测研究
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摘要
为研究影响异形结构桥梁变形的因素,分析不同测量手段反映异形桥变形的灵敏度,以吉林省延边朝鲜族自治州安图县二道白河镇美人松空中廊桥公园内空中廊桥为例,采用倾角仪和测量机器人联合的方式,在顾及荷载、风向和风速的作用下,测定廊桥的倾斜角和位移量,获取两套独立观测数据。通过正交试验分析荷载、风向和风速对廊桥倾斜程度的影响,并通过灵敏度试验分析两种测量手段反映廊桥变形的灵敏度。研究结果表明,倾角仪和测量机器人都能较高精度地反映廊桥变形且数据相近,倾角仪反映廊桥变形灵敏度更高,廊桥变形主要受荷载和风速影响。
In order to study the factors affecting the deformation of bridges with special-shaped structures,analyze the sensitivity of different measurement methods reflecting the deformation of the shaped bridge,the aerial bridge in the Air Gallery Bridge Park located at Meirensong of Erdaobaihe Town,Antu County,Yanbian Korean Autonomous Prefecture,Jilin,is taken as an example. Using a combination of inclinometer and measuring robot,taking into account load,wind direction and wind speed,the inclination angle and displacement of the bridge are measured,and two sets of independent observation data are obtained. The influence of load,wind direction and wind speed on the inclination of the bridge is analyzed by orthogonal test,and the sensitivity of the bridge deformation reflected by two measurement methods is analyzed through sensitivity test. The results show that both the inclinometer and the measuring robot can reflect the deformation of the bridge with high precision and the data is similar,of which the inclinometer is more sensitive. The deformation of the bridge is mainly affected by the load and wind speed.
In order to study the factors affecting the deformation of bridges with special-shaped structures,analyze the sensitivity of different measurement methods reflecting the deformation of the shaped bridge,the aerial bridge in the Air Gallery Bridge Park located at Meirensong of Erdaobaihe Town,Antu County,Yanbian Korean Autonomous Prefecture,Jilin,is taken as an example. Using a combination of inclinometer and measuring robot,taking into account load,wind direction and wind speed,the inclination angle and displacement of the bridge are measured,and two sets of independent observation data are obtained. The influence of load,wind direction and wind speed on the inclination of the bridge is analyzed by orthogonal test,and the sensitivity of the bridge deformation reflected by two measurement methods is analyzed through sensitivity test. The results show that both the inclinometer and the measuring robot can reflect the deformation of the bridge with high precision and the data is similar,of which the inclinometer is more sensitive. The deformation of the bridge is mainly affected by the load and wind speed.
引文
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[18]崔贞,傅宗甫,王劲,等.有限流动水域浮体结构水力特性影响因素敏感性分析[J].武汉大学学报(工学版),2018,51(11):957-962.CUI Zhen,FU Zong-fu,WANG Jin,et al. Sensitivity analysis of influencing factors on hydraulic characteristics of floating structure in finite flow waters[J]. Journal of Wuhan University(Engineering Edition),2018,51(11):957-962.
[2] Liu X,Bai Y,Yuan Y,et al. Experimental investigation of the ultimate bearing capacity of continuously jointed segmental tunnel linings[J]. Structure and Infrastructure Engineering,2016,12(10):1364-1379.
[3] Yu Y D,Lin G,Chen B F,et al. Application of GNSS technology in deformation monitoring of tailings dam body[J]. Bulletin of Surveying and Mapping,2014(7):76-77.
[4] Zhang X P,Zhang D,Su J. Displacement monitoring of tailings reservoir dam based onfixed inclinometer[J].Nonferrous Metals(Mine),2012(5):64-67.
[5] Lin S S,Liao J C. Lateral response evaluation of single piles using inclinometer data[J]. Journal of Geotechnical and Geoenvironmental Engineering, 2006, 132(12):1566-1573.
[6]鲁铁定.总体最小二乘平差理论及其在测绘数据处理中的应用[J].测绘学报,2013,42(4):630.LU Tie-ding. Total least square adjustment theory and its application in surveying and mapping data processing[J]. Journal of Surveying and Mapping,2013,42(4):630.
[7]何永琦,陈伟民,符欲梅.倾斜传感器在桥梁变形监测中的应用[J].重庆大学学报,2004,27(7):28-31.HE Yong-qi,CHEN Wei-min,FU Yu-mei. Application of tilt sensor in bridge deformation monitoring[J]. Journal of Chongqing University,2004,27(7):28-31.
[8]李勇,陈彦江.基于倾角测试的桥梁变形实时监测研究[J].振动与冲击,2013,32(5):65-69.LI Yong,CHEN Yan-jiang. Research on real-time monitoring of bridge deformation based on inclination measurement[J]. Vibration and Shock,2013,32(5):65-69.
[9]殷杰,张宇峰,杨超.倾角仪在桥梁健康监测系统中应用研究[J].现代交通技术,2017,14(1):42-44.YIN Jie,ZHANG Yu-feng,YANG Chao. Application of inclinometer in bridge health monitoring system[J].Modern Transportation Technology,2017,14(1):42-44.
[10]钟萍. GPS结构变形监测中的多路径效应[J].测绘学报,2008,37(3):402.ZHONG Ping. Multipath effect in GPS structural deformation monitoring[J]. Journal of Surveying and Mapping,2008,37(3):402.
[11]吴栋材.大跨度斜拉桥变形监测研究[J].测绘学报,2002,31(3):278-281.WU Dong-cai. Research on deformation monitoring of long-span cable-stayed bridge[J]. Journal of Surveying and Mapping,2002,31(3):278-281.
[12]张正禄.测量机器人[J].测绘通报,2001(5):17.ZHANG Zheng-lu. Measurement robot[J]. Bulletin of Surveying and Mapping,2001(5):17.
[13]卢松耀,梁龙昌,何广静.基于测量机器人的高支模变形监测研究与应用[J].测绘通报,2015(3):85-88.LU Song-yao, LIANG Long-chang, HE Guang-jing.Research and application of deformation monitoring of high support mould based on measuring robot[J].Bulletin of Surveying and Mapping,2015(3):85-88.
[14]陈峰军,王佳玮,徐弢,等.基于MEMS传感器的高精度调垂用倾角仪设计[J].测量技术,2016,38(4):503-506.CHEN Feng-jun,WANG Jia-wei,XU Tao,et al. Design of high precision tiltmeter for vertical adjustment based on MEMS sensor[J]. Measuring Technique,2016,38(4):503-506.
[15]张波.基于MEMS传感器的大量程高精度倾角仪设计:硕士学位论文[D].太原:中北大学,2018.ZHANG Bo. Design of large range and high precision inclinometer based on Micro-Electro-Mechanical Sensor:master's degree thesis[D]. Taiyuan:Zhongbei University,2018.
[16]盛骤,谢式千,潘承毅.概率论与数理统计[M].北京:高等教育出版社,2008:62-76.SHENG Zhou,XIE Shi-qian,PAN Cheng-yi. Probability theory and mathematical statistics[M]. Beijing:Higher Education Publishing House,2008:62-76.
[17]欧阳文森,朱建军.经典平差模型的扩展[J].测绘学报,2009,38(1):12-15.OUYANG Wen-sen,ZHU Jian-jun. Extension of classical adjustment model[J]. Journal of Surveying and Mapping,2009,38(1):12-15.
[18]崔贞,傅宗甫,王劲,等.有限流动水域浮体结构水力特性影响因素敏感性分析[J].武汉大学学报(工学版),2018,51(11):957-962.CUI Zhen,FU Zong-fu,WANG Jin,et al. Sensitivity analysis of influencing factors on hydraulic characteristics of floating structure in finite flow waters[J]. Journal of Wuhan University(Engineering Edition),2018,51(11):957-962.
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