| 基于线形识别的索力测量方法影响因素研究 |
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| 引用本文： | 王邵锐,王犇,程崇晟,周建庭,屈建强,谭虎.基于线形识别的索力测量方法影响因素研究[J].中国公路学报,2023,36(2):154-165. |
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| 作者姓名： | 王邵锐 王犇 程崇晟 周建庭 屈建强 谭虎 |
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| 作者单位： | 1. 重庆交通大学山区桥梁及隧道工程国家重点实验室, 重庆 400074;2. 重庆交通大学土木 工程学院, 重庆 400074;3. 重庆城投基础设施建设有限公司, 重庆 400010;4. 重庆市荣昌区住房和城乡建设委员会, 重庆 402460 |
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| 基金项目： | 国家自然科学基金项目（51608080，52108267）；“成渝地区双城经济圈建设”科技创新项目（KJCXZD2020032）；重庆市自然科学基金项目（cstc2021jcyj-msxm2491）；重庆市技术创新与应用发展专项重点项目（CSTB2022TIAD-KPX0205）；广西重点研发计划项目（桂科AB22036007-8） |
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| 摘 要： | 拉索是索承重桥梁重要的传力构件，其受力状态是反映桥梁健康状态的重要指标，准确测量拉索的索力对保障桥梁结构的安全至关重要。结合数字图像处理技术和拉索计算理论，提出了一种基于线形识别的索力测量方法，可实现非接触式无损测量，设备简单，操作方便，效率高。通过高精度的图像采集及数字图像处理技术进行拉索线形的识别与提取，获取拉索有限空间点的几何坐标，再基于悬链线理论和过“三定点”的精确线形数值计算方法，即可快速计算出索力。通过缩尺模型试验验证了该方法可适用于不同长度、不同直径、不同倾角的索力测量，测量误差为2%～5%。采用数值仿真的方法，探究了温度变化、拉索弯曲刚度、减振装置等单一因素变化对索力测量精度的影响规律，并基于模型试验，剖析了图像采集角度及采集距离对测量精度的影响。结果表明：拉索的弯曲刚度、边界条件对短索测量精度的影响较大，拉索温度的变化对测量精度影响较小，减振装置对测量精度的影响随减振装置刚度提高而增大，拉索图像正面平拍和近距离采集可提高方法的精度；基于以上分析，建立了考虑弯曲刚度和减振装置影响的索力修正方法，修正后索力误差为1%～2%。
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| 关 键 词： | 桥梁工程 索力测量方法 图像识别 误差分析 结果修正 |
| 收稿时间： | 2021-12-10 |
Research on Influencing Factors of Cable Force Measurement Methods Based on Alignment Recognition |
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| WANG Shao-rui,WANG Ben,CHENG Chong-sheng,ZHOU Jian-ting,QU Jian-qiang,TAN Hu.Research on Influencing Factors of Cable Force Measurement Methods Based on Alignment Recognition[J].China Journal of Highway and Transport,2023,36(2):154-165. |
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| Authors: | WANG Shao-rui WANG Ben CHENG Chong-sheng ZHOU Jian-ting QU Jian-qiang TAN Hu |
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| Affiliation: | 1. State Key Laboratory of Mountain Bridge and Tunnel Engineering, Chongqing Jiaotong University, Chongqing 400074, China;2. School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China;3. Chongqing Chengtou Infrastructure Construction Co. Ltd., Chongqing 400010, China;4. Housing and Urban-rural Development Commission of Rongchang District, Chongqing 402460, China |
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| Abstract: | Cable is an essential force transmission component of cable bearing Bridges, and its stress state is an important index to reflect the state of bridge health. To accurately measure the cable force is critical to ensure the safety of bridge structure. Notably, combined with digital image processing technology and the cable calculation theory, this paper have proposed a cable force measurement method based on cable alignment recognition, which is amenable to achieve a non-contact and nondestructive measurement with simple equipment, convenient operation and high efficiency. Through the high precision of image acquisition and digital image processing technology for recognition and extraction of the cable alignment, the geometric coordinates of the finite space points on the cable can be obtained. In light of the catenary theory and the accurate alignment numerical calculation method, namely "three fixed points", the cable force is calculated quickly. According to the experiment of the scaled model, It is demonstrated that this method is available for measuring the cable force implicated in different lengths, diameters and inclination angles, while the measurement error remains about 2%-5%. By means of numerical simulation, the influence of temperature change, cable bending stiffness, damping device and other single factors on cable force measurement accuracy was investigated. Furthermore, Based on model test, the influence of image acquisition angle and distance on measurement accuracy was evaluated. The results present that the bending stiffness and boundary conditions of the cable have great influence on the measurement accuracy of the short cable, while the change of cable temperature has little effect on the measurement accuracy. The influence of the damping device on the measurement accuracy increases corresponding to the increase of the stiffness, and the front flat shooting and close-range acquisition of the cable image can improve the accuracy of the method. Grounded on the above analysis, a cable force correction method is established considering the influence of bending stiffness and damping device, after correction the cable force error is about 1%-2%。 |
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| Keywords: | bridge engineering cable force measurement method image recognition error analysis result correction |
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