摘要
以洪家渡水电站厂房后高边坡变形监测数据为基础,结合工程地质情况,全面分析该高边坡变形在时间和空间上的分布特征。通过建立边坡变形统计回归模型,定量分析气温、降雨量、时效因子在边坡变形中的权重。该模型精度较高,预测值可有效反映坡体真实变形情况,可作为判断边坡稳定和预测变形趋势的有效手段。
Deformation monitoring data of high slope behind Hongjiadu Hydropower Station plant is regarded as the basis.Engineering geological conditions are combined for comprehensive analysis on distribution characteristics of high slope deformation in time and space.Slope deformation statistical regression model is established,and the weights of temperature,rainfall and aging factors in the slope deformation are quantitatively analyzed.The accuracy of the model is higher,and the predicted value can effectively reflect the actual deformation of the slope,which can be used as an effective means to judge the stability of the slope and predict the deformation trend.
作者
彭浩
蒋剑
周以林
PENG Hao;JIANG Jian;ZHOU Yilin(Power Construction Corporation of China Guiyang Survey and Design Research Institute Co.,Ltd.,Guiyang 550081,China)
出处
《水利建设与管理》
2018年第3期48-54,共7页
Water Conservancy Construction and Management
关键词
高边坡
变形
回归分析
high slope
deformation
regression analysis