Structural plane roughness coefficient statistical method at different sampling intervals

A technology of roughness coefficient and statistical method, which is applied in calculation, complex mathematical operation, electrical digital data processing, etc. It can solve the problem that the influence of sampling distance cannot be comprehensively considered, and achieve the effect of wide application range and good applicability.

Active Publication Date: 2018-02-02
SHAOXING UNIVERSITY
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Problems solved by technology

[0004] In order to overcome the deficiency that the existing structural surface roughness coefficient statistical method cannot comprehensively consider the influence of sampling distance, the present invention provides a statistical method of structural surface roughness coefficient under different sampling distances with better accuracy

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  • Structural plane roughness coefficient statistical method at different sampling intervals
  • Structural plane roughness coefficient statistical method at different sampling intervals
  • Structural plane roughness coefficient statistical method at different sampling intervals

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Embodiment approach 2

[0050] Embodiment 2: Select the structural surface of calcareous slate in Changshan County, Zhejiang Province as the research object, measure and count the roughness coefficient for research and analysis.

[0051] A statistical method of structural surface roughness coefficients under different sampling intervals in this embodiment, the specific implementation is as follows:

[0052] (1) The structural surface of calcareous slate in Changshan County, Zhejiang Province (the plane size is 1100mm×1100mm) was selected as the original rock sample, and the surface of the structural surface was scanned by a 3D laser scanner to obtain the 3D surface morphology of the structural surface. Along the set direction, at an interval of 250mm, four parallel two-dimensional contour profiles are obtained, and the two-dimensional data parameters of the four contour curves are respectively obtained.

[0053] (2) Take the left end point of the contour curve as the origin of the coordinates to esta...

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Abstract

The invention relates to a structural plane roughness coefficient statistical method at different sampling intervals, which comprises the following steps of: 1, selecting an engineering rock mass structural plane which needs to be analyzed, drawing N two-dimensional outline section lines in parallel mutually along a testing direction, and respectively acquiring two-dimensional data parameters of the n curves; 2, selecting an ith two-dimensional section line, and then calculating a one-order derivative root-mean-square Z2 of the two-dimensional section line at a sampling interval delta x; 3, when a value of the delta x is between 0.005 and 0.05cm, calculating a roughness coefficient feature value JRC1i corresponding to the ith two-dimensional section line, and when the value of delta x is between 0.05 and a maximum value of the sampling interval, calculating a roughness coefficient feature value JRC2i corresponding to the ith two-dimensional section line; and 4, then carrying out processing on other n-1 curves also according to the step 1 to the step 3, and finally, calculating out a roughness coefficient mean (with reference to the specification) or (with reference to the specification) of the structural plane along the testing direction at the sampling interval delta x. The structural plane roughness coefficient statistical method disclosed by the invention is high in accuracy.

Description

technical field [0001] The present invention relates to a statistical method for structural surface roughness coefficients under different sampling intervals, in particular, the present invention aims at the roughness coefficient of the two-dimensional contour curve of the rock mass structural surface surface morphology, by establishing the relationship between the roughness coefficient and the sampling interval , to realize the statistics of the roughness coefficient of the structural surface under different sampling intervals. Background technique [0002] The roughness coefficient JRC (joint roughness coefficient) of the rock mass structure significantly affects the mechanical properties of the rock mass such as strength, deformation and permeability. Statistical parameter method and fractal analysis method are the main methods to quantitatively determine JRC value, and statistical parameter method is the most recognized and widely used method. For this reason, in the pa...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/17
CPCG06F17/175
Inventor 黄曼马成荣杜时贵夏才初罗战友马文会许强
Owner SHAOXING UNIVERSITY
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