JRC parameter formula correction method based on adaptive correction function

A correction function and self-adaptive technology, applied in electrical digital data processing, complex mathematical operations, special data processing applications, etc., can solve problems such as poor adaptability, and achieve the effect of reducing influence, reasonable calculation results, and high evaluation accuracy

Pending Publication Date: 2019-03-12
SHAOXING UNIVERSITY
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Problems solved by technology

[0035] In order to improve the JRC-Z fitted by scholars 2 The problem of the poor adaptability of the formula to the change of the value of the sampling interval, weakening the influence of the value of the sampling interval Δx on the evaluation of the

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  • JRC parameter formula correction method based on adaptive correction function
  • JRC parameter formula correction method based on adaptive correction function
  • JRC parameter formula correction method based on adaptive correction function

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[0054] The present invention will be further described below in conjunction with the drawings.

[0055] Reference Figure 1 ~ Figure 5 , A method for correcting JRC parameter formulas based on an adaptive correction function, including the following steps:

[0056] 1) Use MATLAB programming to perform grayscale processing on the pictures of the ten standard contour lines proposed by Braton to obtain the coordinate data of each pixel on the contour curve;

[0057] 2) Let the sampling interval be Δx, 2Δx,...nΔx, (n=1000, Δx=0.001mm), calculate the Z of each standard roughness profile curve 2j , And 10 contour curves corresponding to ΔZ 2 average value The respective change curve, such as figure 2 .

[0058] On the picture Perform nonlinear curve fitting to get About the fitting function of the sampling interval Δx:

[0059] ΔZ 2 = -0.1766Δx 0.3543 (2.1)

[0060] R = 0.9803

[0061] 3) In the value range of Δx∈[0,0.5], perform curve fitting on function F, and the selected function typ...

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Abstract

The invention relates to a JRC parameter formula correction method based on adaptive correction function, comprising the following steps: 1) gray-scale processing is carried out on pictures of ten standard contours proposed by Braton by using MATLAB programming to obtain coordinate data of pixel points on the contour curve; 2) gradually changing that delta x value, the corresponding Z2j values ofthe ten curves are obtained, According to the variation relationship between delta x and Z2j value, fitting shown in the description) and the functional relationship with respect to delta x shown in the description as an adaptive correction function; 3) Adding an adaptive function shown in the description to an independent variable in formula (1) to add an adaptive function correction term to obtain formula (2); 4) perform translation correction on that formula to obtain the formula (3); 4) the JRC value calculated by the formula (2) is taken as a straight line l2 by the same method, and the inclination angle is alpha 2, so that the straight line l2 is parallel to the l1 to obtain a straight line equation; 5) the equation (5) is obtained. According to the invention, effects on calculationresults imposed by the sampling interval delta x can be reduced to a certain degree and the calculation results are allowed to be quite proper.

Description

technical field [0001] The invention relates to a method for modifying the existing JRC-Z2 formula by using an adaptive function, and the adaptive function about Z2 itself obtained by adding and fitting the independent variable of JRC-Z2 The correction item, as well as the translation correction and rotation correction for the formula, are the final formula. When calculating the JRC value, the adaptability to the change of the sampling interval is greatly improved, and the formula can still maintain a relatively high accuracy when the sampling interval changes. High calculation accuracy. It is suitable for the occasions where the JRC value of the contour line is obtained by using the parameter formula. Background technique [0002] The surface roughness of rock mass structural plane is an important shape parameter of rock mass structural plane, which has a great influence on the mechanical properties and stability of rock mass. In 1973, Barton proposed for the first time ...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06F17/18G06F17/11
CPCG06F17/11G06F17/18G06F30/20
Inventor 马成荣黄曼徐常森罗战友张贺杜时贵
Owner SHAOXING UNIVERSITY
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