The Study on Tunnel Surrounding Rock Displacement Prediction

2013 ◽  
Vol 340 ◽  
pp. 85-89
Author(s):  
Wen Sheng Shen

The traditional regression analysis method cant effectively predict the final deformation of divisional excavation. This paper is going to propose prediction technique of piecewise nonlinear fitting according to deformation law of surrounding rock displacement during divisional tunneling, to construct piecewise nonlinear fitting function. Through comparative analysis in engineering application, it is proved that it can better meet the prediction need for surrounding rock deformation during information zing construction with its higher accurate prediction and correlation coefficient.

Minerals ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 458 ◽  
Author(s):  
Daoyong Zhu ◽  
Jiong Wang ◽  
Weili Gong ◽  
Zheng Sun

The effects of roof cutting techniques on the movement law of the overlying strata and deformation features of the surrounding rock in gob-side entry retaining mines were studied using 200 working faces of the Dianping coal mine in Shanxi Province. Using a mechanical analysis, a cantilever beam model formed by roof cutting was used to derive a deformation equation. The physical model test based on the field prototype revealed an asymmetrically distributed displacement curve and reduced collapse displacement when the rock stratum was far from the cutting seam. Outside of the roof cutting height, the collapse of the overlying strata gradually reached a symmetric distribution with increasing height. The deformation of the retained roadway was mainly concentrated on the roof, and the maximum deformation was 14 mm near the roof cutting side. A numerical simulation of the original size of the model test proved that the laws of strata movement and surrounding rock deformation were consistent with the physical test results. Finally, field measurements were performed, which verified the rationality of this study.


2013 ◽  
Vol 353-356 ◽  
pp. 828-832
Author(s):  
Guo Feng Wang ◽  
Wen Zhao ◽  
Yong Ping Guan ◽  
Lei Liang

The non-pillar sublevel caving method is used in Iron Mine in Banshi. In the mining area, there are many folds and faults, the inclination of ore body changes greatly, and ore and rock are fragmentized. The tunnel often collapsed and the surrounding rock deformation was getting large during the construction stage. Using the data of tunnel surrounding rock deformation, we adopt the neural network method to set up the mapping relation between the tunnel surrounding rock deformation and the project factors, including tunnel deepness, tunnel dimension, measuring time and surrounding rock quality. The analyzing results show that the maximum error between the forecast and the testing data is 13%, which indicates that this method is useful and feasible to the mining engineering. Key words: rock pressure; measure, deformation of the tunnel surrounding rock; neural network; data normalization; mapping


2012 ◽  
Vol 170-173 ◽  
pp. 1432-1436
Author(s):  
Dan Guang Pan ◽  
Ming Chao Yang

Prediction of tunnel surrounding rock displacement is a hot topic. To accurately predict the displacement of tunnel surrounding, we put forward three exponential smoothing method and describe its basic theory. Based on the measured displacement of a tunnel monitoring sections in Northwest area, compared with traditional regression analysis and grey model as GM (1, 1) to predict the displacement, the results show that the average error and variance about prediction of displacement using three exponential smoothing method is minimum. This method is suitable for the prediction of tunnel surrounding rock deformation and can be applied to practical engineering.


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