Abstract
In the process of the highway tunnel construction, the stability and the reliability of tunnel rock is an important guarantee to ensure safety construction. Tunnel surrounding rock deformation monitoring is an important method for obtaining information on surrounding rock and controlling tunnel stability in the period of construction. Forecasting deformation of surrounding rock is the key to estimate shoring types, parameter and longtime stability after being commissioned for use. Considering the non-linear characteristic of deformation of the tunnel, the grey system prediction models were proposed. Based on the displacement of Guankouya rock tunnel, grey models of the GM(1, 1) and the Model DGM(2, 1) were established for the tunnel grey forecasting model of the rock tunnel displacement. The calculated results show that two models for tunnel displacement generally were predictable. GM(1, 1) and DGM(2, 1) models are similar to the tunnel displacement development model. Application examples demonstrate that it has extraordinary adaptability to the tunnel displacement forecast and all types of surrounding rock displacement can be predicted better by the grey model and the model has high simulation and prediction accuracy.
Highlights
Tunnel deformation monitoring plays an important role in ensuring tunnel safety
The most important issue in engineering projects designed with numerical modeling is the degree of accuracy in the modeling of rock mass behavior
Zhang Jun-zhong, et al through data processing, have demonstrated that the unequal interval of observation sequences was transferred to interval of observation sequences for deformation monitoring of a tunnel project in Guangzhou City [1]
Summary
Tunnel deformation monitoring plays an important role in ensuring tunnel safety. Numerical modeling has been used widely in mining and construction industries in recent years. The most important issue in engineering projects designed with numerical modeling is the degree of accuracy in the modeling of rock mass behavior. Selection of the true model is a very important issue in numerical modeling for the tunnel projects. BiWeiguo, et al collected deformation data to analyze, and predictions were established using the grey theory GM model. Deformation predication of tunnel is very important in the control of construction monitoring. Considering the nonlinear character of deformation of the tunnel, the prediction model of grey system has been proposed. The equal-timespan GM(1, 1) model, the grey renewal GM(1, 1) model and the grey Verhulst model of the grey system theory are applied in the tunnel for the prediction of surrounding rocks displacement [6,7,8]. It can be applied to the forecasting of equidistant, non-equidistant and high growth data sequence, which is more accurate in calculating and forecasting than the traditional GM(1, 1) model
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