节点文献
小湾水电站高边坡变形多项式拟合预报模型分析
Deformation Prediction Model for High Slope of Xiaowan Hydropower Station Using Polynomial Fitting Method
【摘要】 针对边坡位移时间序列,采用多项式拟合的方法对边坡上的监测点进行变形分析和预报。详细叙述了多项式拟合的方法,并据此构建了边坡的多项式预报模型。结合小湾水电站2号山梁高边坡监测点的全球定位系统(GPS)实测数据,对监测点的"位移-时间"拟合曲线进行分析,验证了边坡多项式预报模型的正确性。
【Abstract】 According to the displacement time series of the slope,the polynomial fitting method is adopted to analyze and predict the deformation of the monitoring points of the slope.The polynomial fitting method is elaborated,and then a polynomial prediction model is established.Combining with the observed GPS data of No.2 ridge high slope in Xiaowan Hydropower Station,the time-displacement fitting curve of monitoring points is analyzed.The accuracy of the proposed model is validated.
【关键词】 变形监测;
多项式拟合;
全球定位系统;
高边坡;
【Key words】 deformation monitoring; polynomial fitting; GPS; high slope;
【Key words】 deformation monitoring; polynomial fitting; GPS; high slope;
【基金】 国家自然科学基金资助项目(40974001);江苏省研究生科研创新计划项目(CXZZ11_0451)
- 【文献出处】 水电自动化与大坝监测 ,Hydropower Automation and Dam Monitoring , 编辑部邮箱 ,2012年05期
- 【分类号】TV221.2
- 【被引频次】1
- 【下载频次】113