Establishing method of joint roughness coefficient size effect probability density function model

A technology of probability density function and roughness coefficient, which is used in electrical digital data processing, special data processing applications, instruments, etc. to achieve the effect of rapid shear strength

Active Publication Date: 2015-09-02
SHAOXING UNIVERSITY
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Problems solved by technology

[0007] In order to overcome the deficiency that the existing structural surface roughness coefficient statistical model cannot be directly used for estimating the shear strength of a series of structural surfaces, the present invention provides a method for constructing a structural surface roughness coefficient size effect probability density function model, which can accurately Describe the influence of the size effect on the statistical law of the roughness coefficient of the structural surface, so that the shear strength of the structural surface of a series of sizes can be estimated conveniently and quickly

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  • Establishing method of joint roughness coefficient size effect probability density function model
  • Establishing method of joint roughness coefficient size effect probability density function model
  • Establishing method of joint roughness coefficient size effect probability density function model

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Embodiment Construction

[0026] The present invention will be further described below.

[0027] A method for constructing a probability density function model of a structural surface roughness coefficient size effect, comprising the following steps:

[0028] 1) According to the directional measurement results of the contour line of the structural surface, use a large scanner to scan the drawings recording the contour line of the structural surface, and convert it into text in image format;

[0029] 2) According to the surface coordinate information of the structural surface sample, the roughness coefficient of the series of samples is calculated using the concise formula of the Barton straight edge method;

[0030] 3) Based on phenomenology and significance test, the Weibull probability density function is fitted to the overall distribution of sample data of each size:

[0031] f ( x | a , b ) ...

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Abstract

The invention relates to an establishing method of a joint roughness coefficient size effect probability density function model. The method includes the following steps: according to a joint contour line directional measurement result, adopting a large scanner to scan a drawing recording a joint contour line, and converting the drawing into picture format text; according to surface coordinate information of joint samples, adopting a Barton straight-edge simple formula to calculate roughness coefficient of a series of samples; based on phenomenological and significance test, respectively performing Weibull probability density function fitting (1) on general distribution of all size sample data; discovering functional relation among scale parameters a, shape parameter b and sample size 1 in Weibull distribution, and further establishing the joint roughness coefficient size effect probability density function model (2). By the method, influences of size effect on statistical laws of joint roughness coefficients can be described accurately, so that shear strength of joints in a series of sizes can be estimated conveniently and quickly.

Description

technical field [0001] The invention relates to a probabilistic statistical model of the roughness coefficient of a structural surface. Specifically, the invention provides a method for constructing a probability density function model of the roughness coefficient of a sample considering the size effect of the structural surface. It is suitable for the occasion of estimating the shear strength of structural surfaces of series of sizes based on the analysis of statistical laws of roughness coefficient measurement. Background technique [0002] Before the present invention is made, there is no report on the size effect probability density function model of the roughness coefficient of the structural surface. The shear strength of the structural plane is a key parameter in the stability analysis of engineering rock mass and the design of reinforcement treatment. Indoor and field direct shear tests are the basic methods for determining this parameter, however, it is often not f...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 雍睿杜时贵黄曼梁奇锋罗战友胡云进钟振
Owner SHAOXING UNIVERSITY
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