Slope monitoring point arrangement method based on sparse spatial correlation and displacement sensitivity

By scientifically laying slope monitoring points based on sparse spatial correlation and displacement sensitivity, the problem of strong empiricality and lack of quantitative analysis in the existing technology is solved, the accuracy and scientificity of monitoring point layout is improved, and it has important application value.

CN119691869AInactive Publication Date: 2025-03-25SOUTHWEST JIAOTONG UNIV
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Patent Information

Application Number
CN202411827321.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-12
Publication Date
2025-03-25
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing slope monitoring point layout method has strong empiricality and lacks quantitative analysis theory, which leads to insensible scientific and accurate layout of monitoring point, affecting the overall performance and effect of the monitoring system.

Method used

Using a method based on sparse spatial correlation and displacement sensitivity, the variability parameters of slope soil are obtained through geological surveys, the slope finite element model is constructed, the displacement state under different parameter conditions is determined, the sensitive area level is divided, the displacement correlation coefficient and spatial correlation coefficient are determined using Pearson correlation coefficient and digital image correlation technology, and finally the monitoring points for setting up high-correlation areas are determined.

Benefits of technology

The accuracy of monitoring point optimization layout is improved, combined with the advantages of traditional engineering experience and numerical analysis optimization theory, and the scientificity and accuracy of slope monitoring point layout is improved, which is of significance to predicting and preventing slope disasters.

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Abstract

The invention relates to a slope monitoring point arrangement method based on sparse spatial correlation and displacement sensitivity. The method comprises the following steps: firstly, carrying out geological survey on a site slope to obtain variability parameters of a slope soil body; then, a slope finite element model is constructed on the basis of slope geometric parameters and the variability parameters, and the displacement states of the slope under different parameter conditions are determined on the basis of the slope finite element model; grading the slope sensitive area based on the displacement state; obtaining displacement data based on the grade of the slope sensitive area, and determining a displacement correlation coefficient and a spatial correlation coefficient based on the displacement data by adopting a Pearson's correlation coefficient and a digital image correlation technology; and finally, determining a slope high-correlation area based on the displacement correlation coefficient and the spatial correlation coefficient, and setting a monitoring point position. The scientificity and accuracy of slope monitoring point arrangement are improved, and the method has certain significance for predicting and preventing slope disasters.
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