基于R/S方法的拱坝变形监测资料分析及性态评估  

Monitoring Data Analysis and Behavior Assessment of Arch Dam Deformation Based on R/S Method

作　　者：严中奇[1] 徐力群[1,2] 沈振中[1,2] 孙一帆[1] 

机构地区：[1]河海大学水利水电学院,江苏南京210098 [2]河海大学水资源高效利用与工程安全国家工程研究中心,江苏南京210098

出　　处：《水电能源科学》2015年第10期54-57,共4页Water Resources and Power

基　　金：国家自然科学基金项目(51179062);江苏省自然科学基金青年基金项目(SBK201440863);江苏省研究生培养创新工程项目(KYZZ_0147)

摘　　要：以某混凝土拱坝顺河向水平位移为例,通过R/S方法计算得到不同测点观测数据时间序列的Hurst指数(H)和分形维数(D),根据Hurst指数的值域范围,分析了观测数据的精度,根据分形维数阐述了大坝位移的分形特性,并结合逐步回归分析结果,对大坝的变形性态进行了评估。结果表明,在拱坝变形监测数据分析中,R/S方法能有效挖掘观测数据时间序列所蕴含的内在特征,从而进行准确的安全性态评价。Focusing on the horizontal displacement of a certain concrete arch dam,the Hurst coefficients and fractal dimensions of different monitoring sequences can be gained by using R/S method.Based on the range of the Hurst coefficients,the accuracy of the observed data is analyzed.The fractal features of the dam displacement are presented in terms of fractal dimension.Besides,combining the results of stepwise regression analysis,the deformation characteristics of the dam are assessed as well.The results show that in monitoring data analysis of arch dam deformation,R/S analysis can mine the inner features of the time series effectively and evaluate the safety state precisely.

关 键 词：拱坝 R/S方法 安全监测 HURST指数 分形维数 

分 类 号：TV698.2[水利工程—水利水电工程]