摘要
为了确保监测数据的可靠性,需对桥梁变形监测数据进行回归分析。由于高采样率,一个小的时间差产生两个观测值,因此,数据之间并非独立不相关。采用自相关调整技术调整全站仪所得到的观测数据,减小了数据标准偏差,提高了数据的精确性。结果表明:自相关调整技术减小了数据的标准偏差,使得监测点在空间3个维度方向(X、Y、Z方向)标准偏差分别减小到了原来水平的6.7%~29.4%、6.5%~15.5%、4.62%~12.41%,并最终得到算例桥梁的最大变形产生在跨中位置,竖向最大变形分别为7.42mm和7.31mm。
In order to ensure the reliability of monitoring data, the data of bridge deformation monitoring should be analyzed. Due to the high sampling rate, a small time difference produces two observations, so that the data is not independent. In this paper, the observation data obtained from the total station instrument is adjusted by the auto correlation adjustment technology, which can reduce the standard deviation of the data and improve the accuracy of the data. The results showed that the correlation adjustment technology reduces the standard deviation of the data, the X, Y and Z direction standard deviation were reduced to the original level of 6.7 %- 29.4% , 6.5 % - 15.5 % , 4.62% - 12.41% , and eventually get count bridge as example the maximum deformation position in the middle of the span and the maximum vertical deformation were 7.42 mm 7.31 mm.
出处
《公路工程》
北大核心
2016年第5期181-184,199,共5页
Highway Engineering
基金
2015年度云南省高职高专学会课题(GZ07)
关键词
观测值
标准偏差
可靠性
结构变形
observed value
standard deviation
reliability
structural deformation