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管道下穿高铁桥墩施工变形监测方案研究 被引量:5

Research on the deformation monitoring scheme for pipeline construction under high-speed railway piers
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摘要 下穿高速铁路施工会对铁路桥梁桩基及桥墩的稳定性产生一定影响,必须在施工期对其开展高精度变形监测,而采用免受施工干扰且快速、高精度、高可靠性的变形监测方案,是保障施工期间高速铁路安全稳定的重要途径。文章结合供水管道下穿京沪线徐州某段施工变形监测项目,采用高精度测量机器人,基于三维后方交会自由设站法与极坐标法开展了高速铁路桥墩管道下穿施工期三维位移监测,并建立了适用于变形监测的卡尔曼滤波器实现对变形监测成果预测。结果表明:变形监测方案可实现水平、垂直方向分别<0.53和0.45 mm的精度,较好地满足二等变形监测的精度要求;通过与实测数据对比验证,卡尔曼滤波器预测值可准确反映形变趋势;建立的监测方案可快速构建且基本不受施工干扰,适用于类似高铁桥墩等高精度变形监测领域。 The construction under the high-speed railway will affect the stability of the pile foundation and pier of the railway bridge,and it must be carried out with high-precision deformation monitoring during the construction period.Adopting a fast,high-precision,high-reliability deformation monitoring scheme that is free from construction interference is an important way to ensure the safety and stability of high-speed railways during construction.This paper combines a special deformation monitoring project of a water supply pipeline crossing the Beijing-Shanghai line in Xuzhou City,and adopts high-precision georobot.Based on the three-dimensional rear intersection free-standing and polar coordinate method,the deformation monitoring of high-speed railway piers under the construction period is carried out.The Kalman filter suitable for deformation monitoring realizes the prediction of deformation monitoring results.The results show that the deformation monitoring scheme can achieve accuracy of less than 0.53 mm and 0.45 mm in the horizontal and vertical directions,which better meets the accuracy requirements of second-class deformation monitoring.The comparison between the predicted value of the Kalman filter and the measured data proves that the method can accurately reflect deformation trend.The monitoring network can be quickly constructed and is basically free from construction interference.This scheme is suitable for high-precision deformation monitoring fields such as high-speed rail piers.
作者 桑文刚 李玉斌 黄黎明 赵培华 张帅 SANG Wengang;LI Yubin;HUANG Liming;ZHAO Peihua;ZHANG Shuai(School of Surveying and Geo-informatics,Shandong Jianzhu University,Jinan 250101,China)
出处 《山东建筑大学学报》 2020年第3期79-85,共7页 Journal of Shandong Jianzhu University
基金 山东省重点研发计划项目(2019GSF111052) 山东省高等学校科技计划项目(J17KA071) 住房和城乡建设部科技计划项目(2017-K7-001)。
关键词 变形监测 测量机器人 后方交会 自由设站法 卡尔曼滤波 deformation monitoring georobot rear intersection free-standing method Kalman filter
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