Rock structure surface roughness coefficient refined representation method

A roughness coefficient and structure surface technology, applied in the field of rock engineering, can solve the problems of large data error, difficult to accurately reflect the overall characteristic variability of rock structure surface roughness, etc., and achieve comprehensive and accurate acquisition methods, fast batch calculation, The full effect of the calculation results

CN109859301AInactive Publication Date: 2019-06-07ZHEJIANG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2019-06-07
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention relates to a rock engineering technology, and aims to provide a rock structure surface roughness coefficient refined representation method. The method comprises the steps of obtaining morphology data of a rock structural surface; preprocessing the three-dimensional point cloud data; performing grid thinning processing on the point cloud data; performing regular sorting operation on the coordinate data; calculating JRC values of all structural plane contour lines in the point cloud data; and drawing a JRC numerical value frequency distribution histogram. According to the method, the three-dimensional point cloud data reflecting the topographic characteristics of the whole rock structural surface are obtained through the three-dimensional scanning technology, and the obtained JRC calculation result is more comprehensive, objective and accurate. The method can obtain the law of the mean value, the variance, the variation coefficient and the anisotropy of the JRC data, and provides technical support for comprehensively and accurately evaluating the JRC value and the shear strength of the rock structural plane. Accurate and rapid batch calculation can be realized by combining programming, and the method can be widely applied to rock structure surface roughness and shear strength parameter evaluation involved in various rock engineering projects.
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Description

technical field

[0001] The present invention relates to rock engineering technology, in particular to a method for acquiring rock structural surface roughness coefficient (JRC) based on three-dimensional point cloud data, which is applicable to the refined characterization of JRC data of various rock structural surfaces. Background technique

[0002] With the rapid development of my country's national economy, the construction of major infrastructure such as highways, high-speed rail, and water conservancy and hydropower involves more and more rock projects such as slopes, tunnels, underground chambers, and dam foundations. The stability of rock is controlled by the spatial occurrence and mechanical properties of its structural plane, which is related to the safety and cost of engineering construction. Among them, the shear strength of structural plane is a key mechanical parameter to evaluate the stability of rock engineering. The research shows that the roughness of the s...

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Embodiment Construction

[0038] The implementation of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0039] The refined characterization method of the roughness coefficient of the rock structure surface comprises the following steps:

[0040] 1. On the basis of engineering rock structure analysis, use a 3D laser scanner or a 3D structured light scanner to obtain the shape data of the rock structure plane to be measured, and store it as a 3D point cloud data file (stl format);

[0041] 2. Preprocessing the obtained 3D point cloud data files of the rock structural surface morphology. Combined with the positioning target points or marks reserved during scanning, the appropriate analysis area is confirmed, and redundant data outside the analysis area is deleted. Adjust the coordinate system of the 3D point cloud data file so that the rock structure plane in the analysis area is parallel to the horizontal plane (X-Y plane), and finally save the pro...