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	某大型地下洞室群断面变形监测数据的时序分形特征研究
	邹静 ; 李仲奎 ; Zou Jing ; Li Zhongkui
	2016-03-30 ; 2016-03-30
关键词	地下洞室群 变形监测数据 分形 Hurst指数 RMC constructive solid geometry model visualization plot geometry locating TU433
其他题名	Research on the Sequential Fractal Characteristics of the Deformation Monitoring Data for an Underground Cavern Group
中文摘要	文章以某大型地下洞室群工程项目为背景,首次引入标准极差(R/S)分析法处理收敛变形时程数据。首先,根据Hurst指数的基本含义并结合力学原理,指出分形维数代表断面变形的收敛速度,而Hurst指数本身代表监测开挖后围岩的松动程度;然后,计算分析了实际变形数据的Hurst指数及其分形维数,从而判断了变形时程曲线的动力特征,比较了同一断面各测线之间的区别;进一步分别计算了同一轴线上不同断面监测数据的Hurst指数值,推测了本工程区域内围岩变形性能的演变趋势;最后,总结了Hurst指数的影响因素及其算法的改进思路。; Based on a large underground cavern group,the R/S analysis method is introduced to process convergence monitoring data.Using the Hurst exponent and mechanical principles,it is inferred that the convergence velocity of the section is represented by the fractal dimension,and the degree of loosening of the surrounding rock after excavation can be measured by the Hurst exponent itself.Both the Hurst exponent and fractal dimension of the actual deformation data are computed,the dynamic characteristic of deformation is established in a time-history curve,and the differences of each measurement line at the same section are compared.Furthermore,the Hurst exponent values of the monitoring data of different sections at the same axis are calculated,and the evolution of surrounding rock deformation behavior in this project area is deduced.Finally,the influential factors of the Hurst exponent and improvements related to the algorithm are summarized.
语种	中文 ; 中文
内容类型	期刊论文
源URL	[http://ir.lib.tsinghua.edu.cn/ir/item.do?handle=123456789/148764]
专题	清华大学
推荐引用方式 GB/T 7714	邹静,李仲奎,Zou Jing,等. 某大型地下洞室群断面变形监测数据的时序分形特征研究[J],2016, 2016.
APA	邹静,李仲奎,Zou Jing,&Li Zhongkui.(2016).某大型地下洞室群断面变形监测数据的时序分形特征研究..
MLA	邹静,et al."某大型地下洞室群断面变形监测数据的时序分形特征研究".(2016).

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