Joint roughness coefficient size effect sampling representativeness evaluation method

Abstract

The invention discloses a joint roughness coefficient size effect sampling representativeness evaluation method. The method comprises the following steps: selecting a typical rock structural plane for serving as a research object of the roughness coefficient size effect, measuring a structural plane contour line with a maximum-size-effect research size in an oriented way through a profilograph, extracting the surface coordinate information of a series of size structural plane samples according to a field large-scale rock structural plane surface form element measuring result, calculating the roughness coefficients of the series of samples, and performing probability density function fitting on the overall distribution of standard size sample data; building a joint roughness coefficient size effect probability density function model; calculating a series scale joint roughness coefficient probability density function maximum value according to a maximum likelihood estimation principle; and determining the roughness coefficient representative value of each sample through relative deviation analysis of the roughness coefficient of each structural plane sample and a representative evaluation index. The quantitative evaluation problem of the joint roughness coefficient size effect sample representativeness is solved, and the reliability is high.

Description

technical field [0001] The invention relates to a representative evaluation method for sampling the size effect of the structural surface roughness coefficient, specifically a quantitative evaluation method for the sample roughness coefficient based on the directional probability statistical analysis of the structural surface roughness coefficient, which can be used to objectively evaluate the structural surface size effect sample representative. Background technique [0002] It is a well-known phenomenon that the mechanical properties of the structural surface change with the increase of the sampling size. The size effect has become a part that cannot be ignored in the study of the mechanical behavior of the structural surface. Systematically summarizing and analyzing the size effect law of the shear strength of the structural surface is the key to solving large, It is the core of interrelationship of medium and small scale rock mass mechanical parameters and large scale en...

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Problems solved by technology

[0005] In order to overcome the shortcomings of the existing representative evaluation methods for structural surface samples of rock mass that cannot be quantitatively evaluated and have insufficient reliability, the present invention provides a method for solving the problem of representative quantitative evaluation of structural surface roughness coefficient size effect samples. Sampling representative evaluation method of roughness coefficient size effect of structural surface

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