Slope reliability self-adaptive evaluation method

An adaptive and reliable technology, applied in design optimization/simulation, geometric CAD, etc., can solve the problem of high computing consumption and achieve the effects of low computing efficiency, accurate evaluation, and efficient identification

Pending Publication Date: 2020-01-31
WUHAN UNIV
View PDF5 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It can be seen that the direct Monte Carlo slope relia

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
  • Slope reliability self-adaptive evaluation method
  • Slope reliability self-adaptive evaluation method
  • Slope reliability self-adaptive evaluation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0033] In the slope engineering, the instability of any sliding surface will lead to the failure of the slope. Such as image 3 As shown, this embodiment is a single-layer soil slope divided into 12659 sliding surfaces. The weight γ=20kN / m3 of the single-layer soil slope is a definite parameter; the cohesion c and the internal friction angle φ are uncertain parameters, both of which obey the logarithmic normal distribution, and the mean values ​​are 10kPa and 30° respectively, the variation The coefficients are 0.3 and 0.2, respectively. There is a negative correlation between cohesion and internal friction angle, and the correlation coefficient is -0.7. The random field model and exponential correlation structure are used to characterize the spatial variability of soil parameters, and the fluctuation ranges in the horizontal and vertical directions are 20m and 2m, respectively. Taking the mean value of the soil parameters and analyzing the slope stability, the sliding surf...

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 discloses a slope reliability self-adaptive evaluation method. According to the method, a geometric model and related parameters of a slope are determined, Monte Carlo simulation is adopted to generate a random sample of uncertain parameters, Monte Carlo simulation analysis is carried out on a sliding surface each time through iteration to recognize a failure sample, and a new sliding surface is selected, so that the reliability of the slope is adaptively evaluated. According to the method, the calculation consumption can be effectively reduced, the steps are simple, the slope failure probability obtained through evaluation is monotonically increased and gradually converges, the calculation consumption is low, and a new scheme is provided for engineering slope reliability evaluation.

Description

technical field [0001] The invention relates to the technical field of slope reliability evaluation, in particular to an adaptive evaluation method for slope reliability. Background technique [0002] The traditional method to evaluate slope stability is slope stability analysis, that is, to judge whether the slope is stable or not by calculating the safety factor of the slope. The safety factor is usually defined as the ratio of the anti-sliding moment to the sliding moment, or the ratio of the sliding force to the anti-sliding force. The slope safety factor greater than 1 indicates stability, and less than 1 indicates instability. Based on the limit equilibrium theory, slope stabilization methods include Swedish arc method, simplified Bishop method, Janbu method, Spencer method, Morgenstern-Price method, Chen-Morgenstern method, etc. Such as figure 1 As shown, in the analysis of slope stability, the sliding surface and the geometric shape of the slope form a sliding body...

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
IPC IPC(8): G06F30/20G06F30/13
Inventor 李典庆刘鑫曹子君唐小松
Owner WUHAN 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