欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
针对边坡变形的特点,将监测点位移速率看做一阶马尔科夫过程建立边坡运动方程。利用卡尔曼滤波方法对边坡上监测点进行变形分析,估计出各个监测点的状态参数,从而更全面地反映边坡的运动状态。结合小湾水电站2号山梁高边坡变形监测数据进行滤波处理,所得到的结果表明,经过卡尔曼滤波后位移量的估计精度有了明显的提高,能够准确地反映边坡监测点的位移变化情况。
英文摘要：
For a slope movement equation, the displacement rate of monitoring points is considered as a first--order Gauss-- Markov process. A Kalman filter is used to estimate the error states of slope movement since it is an optimal state estimation process. And the slope dynamic model and observation model are established to estimate the slope displacement and displacement rate using the Kalman filter. The GPS experimental data are collected from the monitoring for the steep slope movement of the Xiaowan Hydropower Station. The results show that the performance of the system is excellent and the measurement accuracy is improved greatly by using the Kalman filter.
同期刊论文项目
同项目期刊论文
Establishing time-dependent model of deformation modulus caused by bedrock excavation rebound by inv
Micromechanical analysis of coupling between anisotropic damage and friction in quasi brittle materi
Assessment of landslide susceptibility using multivariate logistic regression: A case study in South
期刊信息
位置：