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Slope stability prediction and evaluation method

A stability prediction and stability technology, applied in special data processing applications, instruments, climate change adaptation, etc., can solve the problems of few considerations, low prediction accuracy, and large influence of slope structure, etc., to achieve prediction reliability High and precise effect

Active Publication Date: 2021-06-15
KUNMING UNIV OF SCI & TECH
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Problems solved by technology

However, there are still defects such as greater impact on the slope structure, less consideration of factors, and low prediction accuracy.

Method used

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  • Slope stability prediction and evaluation method
  • Slope stability prediction and evaluation method
  • Slope stability prediction and evaluation method

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specific Embodiment approach

[0076] Specific implementation method: see Figure 1-4 , a method for predicting and assessing slope stability, comprising the following steps (see image 3 ):

[0077] 1 Select the slope stability judgment index and determine the allowable safety factor [K]. The selected judgment indexes are: bulk density γ, cohesion c, friction angle Slope angle Φ, slope height H and pore pressure ratio r u ;

[0078] 2 Construct a slope model according to the slope to be predicted, and use engineering simulation software to calculate and obtain the data set of judgment indicators and corresponding safety factors; Stable, if it is less than, it is considered unstable, and then the data set of the judgment index and the corresponding stability result is obtained;

[0079] 3 Normalize the maximum and minimum values ​​of the data set;

[0080] 4 According to the normalized data set, construct a slope stability prediction model based on integrated learning algorithm;

[0081] 5. During ev...

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Abstract

The invention discloses a slope stability prediction and evaluation method. The method comprises the following steps: 1, selecting a slope stability judgment index and determining an allowable safety coefficient [K]; 2, constructing a slope model according to a to-be-predicted slope, and obtaining a data set of judgment indexes and corresponding stability results by utilizing engineering simulation software; 3, performing maximum value and minimum value normalization processing on the data set; 4, constructing a slope stability prediction model based on an integrated learning algorithm according to the normalized data set; and 5, during evaluation, obtaining actual judgment index data of a slope to be detected, and substituting the actual judgment index data into the slope stability prediction model to obtain a slope stability prediction result. According to the method, the stability and safety prediction of the slope can be realized on the basis of not damaging the soil structure, and the method has the advantages of high prediction reliability and good precision.

Description

technical field [0001] The invention relates to the technical field of slope soil safety monitoring, in particular to a method for predicting and evaluating slope stability. Background technique [0002] Slope stability refers to the degree of stability of slope rock and soil under certain slope height and slope angle conditions. According to the cause of formation, slopes are divided into two types: natural slopes and artificial slopes, and the latter are further divided into excavation slopes and embankment slopes. Unstable natural slopes and artificial slopes with too large designed slope angles often slide or collapse under the action of rock and soil gravity, water pressure, vibration force and other external forces. Large-scale slope rock and soil damage can cause traffic interruption, collapse of buildings, blockage of rivers, silting of reservoirs, and bring huge losses to people's lives and property. Therefore, it is of great significance to study the prediction a...

Claims

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Application Information

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IPC IPC(8): G06F30/23G06F30/27G06F30/13G06N20/20G06F111/08G06F119/14
CPCG06F30/23G06F30/27G06F30/13G06N20/20G06F2111/08G06F2119/14Y02A10/23
Inventor 张科张凯保瑞刘享华李娜
Owner KUNMING UNIV OF SCI & TECH
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