首页> 外文期刊>Positioning >Monitoring Bridge Deformation Using Auto-Correlation Adjustment Technique for Total Station Observations
【24h】

Monitoring Bridge Deformation Using Auto-Correlation Adjustment Technique for Total Station Observations

机译:使用自相关调整技术监测桥梁变形以进行全站仪观测

获取原文
       

摘要

Bridges are omnipresent in every society and they affect its human, social, ecological, economical and cultural aspects. This is why a durable and safe usage of bridges is an imperative goal of structural management. Measurement and monitoring have an essential role in structural management. The benefits of the information obtained by monitoring are apparent in several domains. In deformation analysis, the functional relationship between the acting forces and the resulting deformations should be established. If time depending observations are given, a regression could be used as a functional model. In case of stochastic model uncorrelated observations with identical variance are assumed. Due to the high sampling rate, a small time difference arises between two observations. Thus the assumed stochastic model is not suitable. The calculation has to be effected by means of auto-correlated observations. This paper investigates an integrated monitoring system for the estimation of the deformation (i.e., static, quasi-static) behavior of bridges from total station observations and studies the effect of autocorrelation technique on the accuracy of the estimated parameters and variances. The results have shown that autocorrelation technique is reduced the standard deviation of X&Y-direction about 6.7% to 29.4% and 6.5% to 15.5% of the original value, respectively, but the situation was differ in Z direction; the standard deviation in vertical component Z was increased.
机译:桥梁在每个社会中无处不在,并且影响着其人类,社会,生态,经济和文化方面。这就是为什么持久,安全地使用桥梁是结构管理的当务之急的原因。测量和监视在结构管理中具有至关重要的作用。通过监视获得的信息的好处在多个领域中显而易见。在变形分析中,应建立作用力与所得变形之间的函数关系。如果给出了时间依赖的观察结果,则可以将回归用作功能模型。在随机模型的情况下,假定具有相同方差的不相关观测值。由于采样率高,两个观测值之间的时间差很小。因此,假设的随机模型是不合适的。计算必须借助自动相关的观察进行。本文研究了一种用于从全站仪观测值估计桥梁变形(即静态,准静态)行为的集成监控系统,并研究了自相关技术对估计参数和方差的准确性的影响。结果表明,自相关技术将X&Y方向的标准偏差分别降低了原始值的6.7%至29.4%,和6.5%至15.5%,但Z情况有所不同方向;垂直分量Z的标准偏差增加。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号