Intelligent method of temporal-spatial prediction in disaster-changing of landslide

A prediction method, space-time technology, applied in the direction of instrumentation, calculation, image data processing, etc., can solve problems such as unclear physical meaning, lack of theoretical basis, stability and instability of landslides, etc., to simplify the judgment method, enhance operability, and work The effect of volume reduction

Inactive Publication Date: 2008-07-09
CHONGQING UNIV
View PDF0 Cites 34 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, there is no systematic method for landslide spatio-temporal prediction. The method often used in engineering practice is: first judge the stability and instability of the landslide according to the two-dimensional limit equilibrium method; decide whether to reinforce
The traditional spatio-temporal prediction methods of landslides lack theoretical basis and cannot predict the deformation of landslides, and the accuracy cannot be guaranteed
In addition, the traditional spatio-temporal prediction method of landslides uses the two-dimensional limit equilibrium method to judge the stability of landslides. In fact, landslides are a three-dimensional problem, and the two-dimensional calculation method obviously cannot reflect the real stress state of landslides; Simple processing of displacement monitoring data to judge the instability time of the landslide, this method does not consider the rheological characteristics of the landslide medium, therefore, the physical meaning is not clear
[0004] In short, the traditional space-time prediction method of landslides does not reflect the nonlinear nature of landslide rock and soil materials, and does not reflect the catastrophic process of landslides. Therefore, it is necessary to develop a method that can reflect the nonlinear nature of landslide rock and soil materials and facilitate engineering applications. Landslide spatio-temporal prediction system method

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Intelligent method of temporal-spatial prediction in disaster-changing of landslide
  • Intelligent method of temporal-spatial prediction in disaster-changing of landslide
  • Intelligent method of temporal-spatial prediction in disaster-changing of landslide

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0035] Embodiment 1: referring to Fig. 1, a kind of intelligent method of landslide catastrophe process spatio-temporal prediction, its specific implementation steps are as follows:

[0036] 1) Select the specific landslide to be predicted, and determine the calculation parameters; for example, determine the occurrence of the three-dimensional sliding surface, the magnitude of pore water pressure, and the cohesion c and internal friction angle of rock and soil materials on the sliding surface in natural and saturated states ; discretize the three-dimensional sliding body, and approximately determine the sliding direction of each discrete block according to the opposite direction of the shear force on the sliding surface and the inclination of the sliding surface; measure the shear section and creep section of the sliding surface on site according to the penetration rate of the sliding surface The length of , determine the rheological model parameters of the Siplasma material o...

Embodiment 2

[0053] Embodiment 2: Determination of the three-dimensional safety factor of a certain landslide

[0054] (1) Main calculation parameters

[0055] The three-dimensional sliding surface shape function of the landslide is known, as shown in Figure 2, the three-dimensional landslide profile at y=50m. This example is a three-dimensional ellipsoidal sliding surface, in which the sliding body is an isotropic homogeneous material. The calculation parameters are as follows: cohesion c=29kPa, internal friction angle =20°, sliding body bulk density γ=18.8kN / m 3 .

[0056] (2) Calculation process

[0057] ① Step 1: Determine the shape of the three-dimensional sliding surface and the geometric dimensions of the sliding body

[0058] The sliding surface function s can be expressed as

[0059] ( z - 24.4 ) 2 595.36 + ...

Embodiment 3

[0078] Example 3: Spatio-temporal prediction of a landslide disaster process in Chongqing

[0079] (1) Select a landslide in Chongqing and determine the calculation parameters

[0080] A landslide is located in the Chongqing Nanping section of the Chongqing-Guizhou Expressway. During the excavation of the subgrade from December 1997 to March 1998, the slope gradually became unstable due to the influence of heavy rain and artificial disturbance, forming circular-arc tensile cracks. The slope surface of the landslide is SN-directed. The landslide is irregular horseshoe-shaped on the plane, with a lateral width of about 200-360m and a longitudinal length of about 230m. The steep wall at the rear edge of the landslide is 10-20m high and the slope is 70-80°. The thickness of the landslide body varies greatly, showing a pattern of shallow and deep in the middle, the thickest in the middle reaches 40m, and the average thickness is about 19.5m. The landslide area is about 70,000 m 2...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to an intelligent method for carrying out space-time prediction of the landslide catastrophe process. The invention is carried out via a computer, comprising the following steps of: 1) choosing a detained landslide to be predicted, confirming calculation parameters; 2) establishing a geometric model of the landslide intelligent prediction; 3) intelligently predicting the 3D stability of the landslide; 4) intelligently predicting the unstable state of the landslide; 5) intelligently predicting the activity intensity of the landslide as follows: computing the landslide deformation process in the unstable state, outputting deformation maps in real time until the end of the landslide. Compared with the prior art, the invention reduces the workload, improves the precision, simplifies the judging method of space-time predicting of the landslide catastrophe process with much convenience and reliability, and improves the maneuverability of the space-time predicting of the landslide catastrophe process. Therefore the invention is the simple, intuitionistic, economical and high-efficient space-time prediction of the landslide catastrophe process.

Description

technical field [0001] The invention relates to a landslide spatiotemporal prediction method, in particular to an intelligent method capable of spatiotemporal prediction of landslide catastrophe process. More specifically, it is an intelligent prediction method combining geotechnical mechanics with field monitoring. Background technique [0002] my country is a landslide geological disaster-prone area, and landslides cause huge economic losses and heavy casualties to our country every year. With the continuous development of social economy, landslides, as a kind of geological disaster, have had a great impact on the lives of local residents due to their serious hazards. Although great achievements have been made in the research of landslide spatiotemporal prediction methods, a large number of landslide geological disasters still occur every year, which shows that the existing landslide spatiotemporal prediction methods still have defects. [0003] At present, there is no s...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/00G06T17/10
Inventor 周小平杨海清
Owner CHONGQING UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products