提出一种地基真孔径雷达(Ground-Based Real Aperture Radar,GB-RAR)变形信息估计方法,将该方法应用于上海某地铁线路盾构隧道下穿E大桥的安全监测与分析.基于GB-RAR数据进行分析推导,得到桥梁的沉降变形时间序列,并通过水准测量进行了验证,精度优于0.27 mm.通过功率谱分析和最大似然估计,去除彩色噪声比,不考虑彩色噪声影响的变形监测信息更准确,与水准测量结果更加吻合.研究结果表明,该方法在本次工作中具有可靠性和有效性,桥梁在监测期内稳定、安全.
Research on Deformation Monitoring of High-Speed Railway Bridge on GB-RAR
Ground-Based Real Aperture Radar(GB-RAR)deformation information estimation method is pro-posed in this article,and it is applied to the safety monitoring and analysis of a shield tunnel under the E bridge of a subway line in Shanghai.The settlement deformation time series of the bridge is analyzed and derived based on GB-RAR,and it is verified by leveling measurement at an accuracy better than 0.27 mm.By using Power Spec-trum Analysis and Maximum Likelihood Estimation,removing color noise is more accurate than not considering the influence of color noise on deformation monitoring information,and is more consistent with leveling measure-ment results.The research results shows that the reliability and effectiveness of the method in this work,and the bridge is stable and safe during the monitoring period.
High-speed railwaySettlementDeformation monitoringGround-Based Real Aperture Radar
万方数据
维普
