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Efficient slope reliability analysis method

An analysis method and reliability technology, applied in the fields of instruments, character and pattern recognition, computer parts, etc., can solve problems such as poor universality and generalization, and achieve the effect of improving computing efficiency

Pending Publication Date: 2020-03-24
CENT SOUTH UNIV
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Problems solved by technology

[0006] The purpose of the present invention is to overcome the complicated and cumbersome calculation of reliability indicators when using representative sliding surfaces for slope reliability analysis, specify the correlation thresholds between sliding surfaces, and repeatedly identify representative sliding surfaces for different statistical parameters , so the technical problem of poor universality and generalization, a simple, efficient and relatively robust representative sliding surface recognition technology method for different statistical parameters is proposed

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  • Efficient slope reliability analysis method
  • Efficient slope reliability analysis method

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Embodiment

[0076] like figure 1 As shown, the present invention takes the single-layer friction-clay slope commonly used in the literature as an example for calculation, and the specific parameters in the figure are H1=5m, H2=15m, L1=10m, L2=10m, L3=30m, and the cohesion force The mean values ​​of and the internal friction angle are 10kPa and 30°, respectively, and the corresponding standard deviations are 3kPa and 6° respectively; the cohesion force and the internal friction angle obey the log-normal distribution, the cross-correlation coefficient is -0.7, and the two The horizontal fluctuation range and vertical fluctuation range are 40m and 4m respectively; the weight of the slope soil is a certain value of 20kN / m 3 .

[0077] Take the unit size as 0.5m, then 0.5m / δ h =0.0125, 0.5m / δ v =0.125, the unit size meets the requirements for simulating random fields; after discretization, there are a total of 1210 random field units (random field grid model), see figure 2 .

[0078] Cal...

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Abstract

The invention relates to the field of slope engineering, in particular to an efficient slope reliability analysis method. The method comprises the following main steps: 1, slope stability determinacyanalysis; 2, spatial variability simulation of rock-soil parameters; 3, identifying a representative sliding surface by utilizing a K-mean clustering analysis method; 4, establishing a response surface function relational expression of the representative sliding surface; and 5, calculating a slope reliability index or a slope failure probability. Compared with an existing side slope reliability calculation method, the method a representative sliding surface identification technical method which is simple and efficient and is relatively stable for different statistical parameters. The calculation efficiency of the representative sliding surface-based slope reliability analysis method can be improved, the application of the reliability analysis method in slope design can be expected to be effectively promoted, and the method has certain theoretical innovation significance and engineering practical value.

Description

technical field [0001] The invention relates to the field of slope engineering, in particular to a calculation method for efficient analysis of slope reliability. Background technique [0002] The object of slope stability analysis is rock mass or soil mass, but rock and soil mass has often experienced various complex geological actions in the entire historical process of its formation, so it has complex structural components. However, in actual engineering design, only part of the rock and soil mass is often used for in-situ tests or laboratory tests to determine the physical and mechanical properties of the rock and soil mass. Obviously, this operation or process will inevitably lead to uncertainties (such as cognitive uncertainty, systematic errors, etc.) in the obtained physical and mechanical parameters of rock and soil. Furthermore, the uncertainty of these parameters will be propagated to the slope stability analysis process, resulting in uncertainty in the final slo...

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Application Information

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IPC IPC(8): G06F30/20G06K9/62
CPCG06F18/23213
Inventor 刘磊磊刘健王晓密张绍和李京泽潘秋景
Owner CENT SOUTH UNIV
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