Uneven large deformation grade prediction method suitable for soft rock tunnel

Abstract

The invention provides an uneven large deformation grade prediction method suitable for a soft rock tunnel. The method comprises the following steps: acquiring geological conditions, construction conditions and deformation data of each existing soft rock tunnel, grading the non-uniform deformation degree into a basic deformation grade and a deformation non-uniform grade, classifying and quantifying main influence factors, and establishing a non-uniform large-deformation initial sample database of the soft rock tunnel; calculating subjective and objective weights of the main factors by adoptingdifferent methods to obtain a comprehensive weight, respectively calculating the correlation degree between each influence factor and the deformation grade and the deformation non-uniformity grade ofthe soft rock tunnel foundation by adopting a grey correlation degree theory, and reducing the influence factors of which the correlation degree is smaller than a set value; constructing a soft rocktunnel non-uniform large deformation artificial neural network prediction model by taking the reduced influence factor indexes as input parameters and taking the basic deformation grade and the deformation non-uniform grade as output parameters; and inputting the acquired data of the to-be-predicted soft rock tunnel into the artificial neural network prediction model to obtain a prediction result.

Description

technical field [0001] The disclosure belongs to the field of rock and soil deformation prediction, and relates to a method for predicting uneven large deformation levels of soft rock tunnels. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] Soft rock has the characteristics of low strength, large porosity, poor cementation degree, significantly affected by structure and weathering, and contains a large amount of expansive clay minerals. It will produce significant plastic deformation and rheology under the interference of engineering construction. Due to the defects in soft rock structure and strength, as well as the influence of factors such as ground stress, groundwater conditions, and construction, the surrounding rock strength and stress distribution of soft rock tunnels are different, resulting in uneven deformation, resulting in loc...

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Problems solved by technology

[0004] According to the inventor's understanding, the traditional hierarchical prediction of tunnel deformation mainly adopts empirical formulas and numerical simulation methods, but because the uneven large deformation of soft rock tunnels is affected by various factors such as engineering geological factors and construction factors, it is a nonlinear solution problem. Traditional empirical formulas and numerical simulation methods have certain limitations, and it is difficult to predict the unevenness of tunnel deformation

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