R/S分析在高挡墙位移监测资料分析中的应用  

Application of R/S Method in Monitoring Data Analysis of High Retaining Wall

作　　者：薛洋[1] 许雷[1] 陈慧艳 

机构地区：[1]国家能源局大坝安全监察中心,浙江杭州311122 [2]大唐(北京)水务工程技术有限公司,北京100000

出　　处：《水力发电》2017年第9期106-109,共4页Water Power

基　　金：国家自然科学基金重点项目(51139001);国家自然科学基金项目(51279052);江苏省"六大人才高峰"项目(JY-008;JY-003)

摘　　要：为了解某高挡墙在运行过程中的安全状况,对其典型断面位移监测资料进行了R/S分析,计算了其Hurst指数、相关系数与分形维数,计算结果表明:位移时间序列的H值均较大,具备着趋势性与随机性双重特征。其中,水平位移的H值接近于1,趋势性较强,垂直位移的H值较接近于0.5,随机性较强;挡墙位移时间序列的分形维数均大于1,说明挡墙位移发展过程中存在着非线性;挡墙右岸出现的降雨入渗导致了水平位移时间序列的H值降低,分形维数升高,结构的非线性特征变得显著,系统更为复杂。In order to understand the security situation of a high retaining wall in operation, the displacement time series of typical sections are analyzed by R/S method for its nonlinear features including Hurst index, correlation coefficient and fractal dimension calculation. The results show that： （a） the H values of displacement time series are larger and they have double features of tendency and randomness, the H values of horizontal displacement are close to 1 which means strong tendency, and the H values of vertical displacement are close to 0.5 which means strong randomness; （b） the fractal dimension of retaining wall displacement time series are all a little bigger than 1, indicating that the displacement process exists non-linear; and （c） the rainfall infiltration occurred in the right bank causes a reduction of H value and an increase of fractal dimension, which means the nonlinear characteristics of structure being significant and the system being more complex.

关 键 词：R/S分析 高挡墙 位移 HURST指数 分形理论 

分 类 号：TV698.11[水利工程—水利水电工程]