Supercharge Your Innovation With Domain-Expert AI Agents!

A method for determining the number of statistical samples of rock mass structural plane roughness based on the analysis of coefficient of variation grade ratio

A technology of variation coefficient and determination method, which is applied in the direction of electrical digital data processing, calculation, computer parts, etc., can solve problems such as spending a lot of time and energy, failing to meet engineering requirements, increasing the amount of sample measurement and calculation, and avoiding waste The effect of resources, maximum implementation value and economic benefits

Active Publication Date: 2019-03-29
SHAOXING UNIVERSITY
View PDF2 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] In order to overcome the deficiency that the quantitative determination method for the number of statistical samples of rock mass structural surface roughness cannot meet the needs of engineering, in order to ensure the accuracy of the statistical results of rock mass structural surface roughness coefficient, it is necessary to ensure that the number of analysis samples is large enough, but the sample The problem with the large number is the increase in the amount of measurement and calculation, and it takes a lot of time and effort

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
  • A method for determining the number of statistical samples of rock mass structural plane roughness based on the analysis of coefficient of variation grade ratio
  • A method for determining the number of statistical samples of rock mass structural plane roughness based on the analysis of coefficient of variation grade ratio
  • A method for determining the number of statistical samples of rock mass structural plane roughness based on the analysis of coefficient of variation grade ratio

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The present invention will be further described below in conjunction with the accompanying drawings.

[0028] refer to figure 1 , a method for determining the number of statistical samples of roughness of a rock mass structural surface based on a coefficient of variation grade ratio analysis, comprising the following steps:

[0029] (1) Determine the sampling length L on the surface of the partially exposed rock mass structural surface, L is an arbitrary natural number, and in this experiment, selecting sampling lengths is N samples of L, and the value of N is sufficiently large, and is determined according to specific experimental conditions;

[0030] (2) Extract the contour curves of i measurement sections with a profilometer on the surface of the structural surface of the experimental object, i=1, 2, 3...N;

[0031] (3) Calculate the structural surface roughness coefficient corresponding to each measurement section;

[0032] (4) Group N samples, the first group is ...

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

A method for determining the number of statistical samples of rock mass structural plane roughness based on the analysis of coefficient of variation grade ratio is disclosed. When the average values of each data group are the same, Generally speaking, standard deviation is used to express data dispersion, but because the average values of roughness coefficients are not identical in each group, theratio of standard deviation to average value, or coefficient of variation, is used to express data dispersion, which is denoted as CV, and the influence of different units and averages on the comparison of two or more data variability can be eliminated. Stage ratio analysis can reflect the dispersion of data and the fluctuation of adjacent data concisely. The coefficient of variation CV corresponding to the number of samples is calculated. When the coefficient of variation CV tends to be stable, the number of samples is enough to meet the requirements of the accuracy of the calculation results. The coefficients of variation of each group were analyzed based on the rank ratio analysis method, and the corresponding rank ratio coefficients were calculated. The invention is suitable for determining the minimum sample number of different sample sizes, and is suitable for engineering application and simple and efficient.

Description

technical field [0001] The invention belongs to the field of engineering technology, and relates to a method for determining the statistical sample number of rock mass structural surface roughness based on variation coefficient grade ratio analysis. The method of statistically measuring the number of samples for structural surface roughness solves the problem that it was difficult to determine the required effective number of samples when collecting samples in the past, and ensures the reliability of JRC measurement results. Background technique [0002] Structural plane is the weak link in rock mass, and it is a sign of geological structure with certain shape and ubiquity. Through the statistical measurement of the roughness of the rock mass structural surface, the nature and characteristics of the rock mass structural surface roughness can be fully understood. The invention is mainly applied to determine the minimum number of samples satisfying the statistical measurement...

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): G06F17/50G06K9/62
CPCG06F30/20G06F18/10
Inventor 雍睿田钱钱梁渭溪曹泽敏徐敏娜
Owner SHAOXING UNIVERSITY
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More