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Three-dimensional slope stability prediction method based on sliding displacement analysis

A stability prediction and sliding displacement technology, which is applied in the directions of instruments, calculations, and electrical digital data processing, etc., can solve the problems that the reliability needs to be improved and the sliding displacement information of the slope is not considered, so as to achieve reliable prediction results and reduce the amount of calculation , the effect of improving the calculation accuracy

Active Publication Date: 2014-12-10
CHONGQING UNIV
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Problems solved by technology

However, this method judges the stability of the slope based on the force analysis of the model, without considering the displacement information of the slope sliding, and the reliability of its prediction still needs to be improved

Method used

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  • Three-dimensional slope stability prediction method based on sliding displacement analysis
  • Three-dimensional slope stability prediction method based on sliding displacement analysis
  • Three-dimensional slope stability prediction method based on sliding displacement analysis

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Embodiment Construction

[0018] Below in conjunction with accompanying drawing and embodiment the present invention will be further described:

[0019] Step 1. Select the specific landslide body to be predicted, determine the shape of the three-dimensional sliding surface and the geometric size of the landslide body, and express the slope surface and the sliding surface with equations; the parameters of the slope surface include the projected length of the slope slope on the horizontal plane l, the projection length H of the slope slope in the vertical direction; the parameters of the slip surface are determined according to the actual geometric shape, and the soil index parameters of the rock and soil are determined;

[0020] The expression of the slope surface is

[0021] z 1 = 0 , ( x ...

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Abstract

The invention discloses a three-dimensional slope stability prediction method based on sliding displacement analysis. The method includes the steps that a specific sliding mass to be predicated is selected; discretization is conducted on the three-dimensional sliding mass; a double-curve model of a rock and earth mass is established, and the relation between the shearing force of the bottom surface of a stripped-shaped column and key point vertical displacement delta0 is obtained; the key point vertical displacement delta0 corresponding to different reduction coefficients RF is solved. The value of the reduction coefficient RF corresponding to a spurt position of key point vertical displacement delta0 is selected to be used as a stability coefficient of a three-dimensional slope. The three-dimensional slope stability prediction method based on sliding displacement analysis has the advantages that the sliding displacement information of the slope is considered, the calculation accuracy is improved, and the prediction result is more reliable.

Description

technical field [0001] The invention belongs to the technical field of geological disaster prevention and control, and in particular relates to a three-dimensional slope stability prediction method based on sliding displacement analysis. Background technique [0002] The losses caused by landslide geological disasters are very huge. Countries all over the world attach great importance to landslide geological disasters. People have done a lot of work in the evaluation, prevention, monitoring, prediction and forecasting of landslide disasters, and have obtained a series of research results with practical significance. [0003] Chinese patent document CN103163563A disclosed a three-dimensional slope stability prediction method on June 19, 2013, comprising the following steps: Step 1, selecting a specific landslide body to be predicted, determining the shape of the three-dimensional sliding surface and the geometric size of the landslide body; The three-dimensional sliding surfa...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 周小平程浩
Owner CHONGQING UNIV
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