Beidou GNSS monitoring system layout method based on slope stability state analysis

Abstract

The invention discloses a Beidou GNSS monitoring system layout method based on slope stable state analysis, and the method comprises the steps: building a slope three-dimensional model through oblique photography, dividing a typical two-dimensional profile, and building a two-dimensional analysis model; obtaining physical and mechanical parameters of the slope rock-soil body; calculating the slope stability of the two-dimensional analysis model under an extreme working condition by adopting a numerical analysis method, and obtaining a dangerous sliding surface; by taking the obtained sliding surface as a reference basis, projecting a front edge shear opening and a rear edge pull fracture zone of the landslide to corresponding positions of the three-dimensional geologic model to form a dangerous sliding surface projection line from the rear edge to the front edge of the landslide, and arranging a Beidou GNSS monitoring instrument to form a monitoring area; selecting different section lines, repeating the steps, arranging Beidou GNSS monitoring instruments at different positions, and forming a plurality of monitoring areas. According to the invention, monitoring network arrangement is achieved, 360-degree dead-angle-free detection in a field is realized, and the applicability is relatively high; and numerical simulation and engineering practice are combined, so that the monitoring work efficiency is improved.

Description

technical field

[0001] The invention relates to the technical field of geotechnical engineering, in particular to a method for laying out a Beidou GNSS monitoring system based on slope stability analysis. Background technique

[0002] Slope stability is the first prerequisite for open-pit operations such as mining, and it is also an important topic of research in geotechnical engineering fields such as dam construction and roadbed engineering. The stability of the slope is not only affected by the mechanical strength of the rock and soil itself, but also includes extreme conditions such as heavy rain and earthquakes. Once the slope becomes unstable, it will cause unpredictable consequences. Therefore, it is of great engineering significance to accurately predict slope instability.

[0003] At present, the most commonly used forecasting method is to deploy monitoring devices on the slope, and accurately predict the stability of the slope by monitoring the deformation of the ...

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