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Research on the Sequential Fractal Characteristics of the Deformation Monitoring Data for an Underground Cavern Group
(1 State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084; 2 SINOPEC Engineering Incorporation, Beijing 100101)
Abstract 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.
Abstract：
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.
ZOU Jing-1,
2 ,
Li-Zhong-Kui-1
.Research on the Sequential Fractal Characteristics of the Deformation Monitoring Data for an Underground Cavern Group[J] MODERN TUNNELLING TECHNOLOGY, 2014,V51(5): 48-54
2014, Vol. 51 