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A pile top displacement nonlinear prediction method considering sliding bed rock mass structure characteristics

A technology of nonlinear prediction and structural characteristics, applied in special data processing applications, instruments, electrical digital data processing, etc. It can solve the single-factor sensitivity analysis level, can not reflect the comprehensive impact, and there are few studies on slope stability And other issues

Active Publication Date: 2019-05-03
CHINA UNIV OF GEOSCIENCES (WUHAN)
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, the sliding bed is mostly considered as a homogeneous body for calculation, but when the sliding bed is a composite layered rock mass, the rock mass structure characteristics of the sliding bed have a greater impact on the pile top displacement of the anti-sliding pile; There are few studies on the stability of slopes based on the structural characteristics of the body structure, and they only stay at the level of single-factor sensitivity analysis based on continuum media, which cannot reflect the comprehensive influence of various factors on pile top displacement; the correlation and random linkage between various factors It is highly nonlinear relationship with pile top displacement, it is difficult to use traditional mathematical methods to establish an explicit mathematical model for pile top displacement prediction

Method used

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  • A pile top displacement nonlinear prediction method considering sliding bed rock mass structure characteristics
  • A pile top displacement nonlinear prediction method considering sliding bed rock mass structure characteristics
  • A pile top displacement nonlinear prediction method considering sliding bed rock mass structure characteristics

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Embodiment 1

[0050] Please refer to figure 1 , which is a flow chart of the pile top displacement nonlinear prediction method, the method proposed by the present invention is described in detail below in conjunction with the flow chart; in a kind of pile top displacement nonlinear prediction method considering the sliding bed rock mass structural characteristics of the present invention, specifically Include the following steps:

[0051] L1. Conduct investigation and statistics on all landslides supported by anti-slide piles in the Three Gorges reservoir area, select typical landslides to establish a generalized geological model; use the three-dimensional discrete element numerical simulation software-3DEC to establish a three-dimensional discrete element numerical model of the generalized geological model;

[0052] L2. A single-factor sensitivity analysis is carried out on the structural characteristics of the sliding bed rock mass. The inclination angle of the rock formation is selected ...

Embodiment 2

[0073] In order to better illustrate the present invention, a specific landslide is taken as an example for detailed description below. The survey and analysis of the landslide showed that the lithology of the slide bed is the upper Jurassic Suining Formation (J3s), the thickness of the sandstone is about 1.05m, and the thickness of the mudstone is about 0.15m. °. The main sliding direction of the landslide is 290°. The landslide is equipped with test piles, and the displacement monitoring result of pile tops is 0.15m.

[0074] According to the survey results, it can be seen that the dip angle of the rock strata is 28°, the angle between the dip of the rock stratum and the main sliding direction is 20°, the layer thickness ratio is 7:1, and the thickness of a single layer is 1.2 meters;

[0075] Calculate the rear thrust F of the anti-slide pile by the landslide residual thrust method, and then use the formula The obtained single pile load is 266.583kPa;

[0076] The abov...

Embodiment 3

[0080] Please refer to figure 2 , which is the flow chart of particle swarm optimization for the optimization of the support vector regression model, and the specific steps are:

[0081] L81. Initialize particles and population speed, set the maximum number of iterations T max =500, the number of particle populations is 20, the initial iteration number is set to x=1, and the minimum error parameter is defined as MSE min ;

[0082] L82. According to the particle and population velocity, determine the parameters: cross-validation fold k x , loss parameter p x , penalty factor C x and RBF kernel function parameter g x ; among them, k x ∈N;

[0083] L83. Using the k-fold cross-validation method, the parameter p x 、C x and g x into the fit function: Obtain the predicted value ω of pile top displacement of N groups x =[ω x1 ,ω x2 ,...,ω xN ];

[0084] L84, the predicted value ω of N group pile top displacement that step L83 obtains x , and the actual value y of the ...

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Abstract

The invention discloses a pile top displacement nonlinear prediction method considering sliding bed rock mass structure characteristics. The method aims at solving the problems that current research on sliding bed rock mass structure characteristics is few, and only stays on a continuous medium-based single-factor sensitivity analysis level; according to the method, multiple factors of sliding bedrock mass structure characteristics are considered, a particle swarm optimization algorithm and a support vector regression machine method are adopted, an optimal prediction model of pile top displacement is established, and when a sliding bed is of a composite layered rock mass structure, the precision of sliding-resistant pile displacement prediction is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of geological disaster prevention and control, and in particular relates to a nonlinear prediction method for pile top displacement considering the structural characteristics of sliding bed rock mass. Background technique [0002] At present, the sliding bed is mostly considered as a homogeneous body for calculation, but when the sliding bed is a composite layered rock mass, the rock mass structure characteristics of the sliding bed have a greater impact on the pile top displacement of the anti-sliding pile; There are few studies on the stability of slopes based on the structural characteristics of the body structure, and they only stay at the level of single-factor sensitivity analysis based on continuum media, which cannot reflect the comprehensive influence of various factors on pile top displacement; the correlation and random linkage between various factors There is a highly non-linear relationship with...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06K9/62G06N3/00
Inventor 孙自豪王亮清姜耀飞
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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