CN110348051B - Rock structural surface anisotropy characteristic evaluation method based on two-dimensional morphological parameters - Google Patents
Rock structural surface anisotropy characteristic evaluation method based on two-dimensional morphological parameters Download PDFInfo
- Publication number
- CN110348051B CN110348051B CN201910479626.8A CN201910479626A CN110348051B CN 110348051 B CN110348051 B CN 110348051B CN 201910479626 A CN201910479626 A CN 201910479626A CN 110348051 B CN110348051 B CN 110348051B
- Authority
- CN
- China
- Prior art keywords
- anisotropic
- distribution
- structural surface
- actual
- distribution characteristics
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/05—Geographic models
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Geometry (AREA)
- Theoretical Computer Science (AREA)
- Software Systems (AREA)
- General Physics & Mathematics (AREA)
- Remote Sensing (AREA)
- Computer Graphics (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Analysing Materials By The Use Of Radiation (AREA)
Abstract
The rock structural surface anisotropy characteristic evaluation method based on two-dimensional morphology parameters comprises the following steps of 1) describing structural surface anisotropy actual distribution characteristics by adopting the two-dimensional morphology parameters, and drawing the structural surface anisotropy actual distribution characteristics on a polar coordinate graph; 2) Determining an orthogonal direction in the structural plane anisotropic polar coordinate distribution diagram based on an anisotropic orthogonal distribution rule; 3) Obtaining an anisotropic analytical function and anisotropic distribution characteristics according to the two-dimensional morphology parameter values corresponding to the orthogonal directions; 4) And (3) obtaining anisotropic distribution characteristics of the structural surfaces in other different orthogonal directions by repeating the steps 2) and 3), and calculating relative errors of morphology parameter values corresponding to actual anisotropic distribution, wherein the anisotropic behavior of the anisotropic analytical function reaction with the smallest errors is the theoretical anisotropic distribution of the structural surface. According to the invention, the actual anisotropic distribution characteristics of the structural surface are obtained by analyzing the two-dimensional morphological parameters to evaluate the theoretical distribution behavior of the structural surface.
Description
Technical Field
The invention belongs to the field of rock mechanics, and relates to a rock structural surface anisotropy characteristic evaluation method based on two-dimensional morphological parameters.
Background
The rock mass structural surface itself has complex anisotropic characteristics, so that the current structural surface shape and appearance characteristics are difficult to quantitatively study. Therefore, many scholars focus on the spatial geometrical distribution characteristics of the structural surface of the rock mass and propose a large number of parameters (Z 2 、R p 、θ S 、
BAP、SR V ) The structural plane anisotropy is characterized in two and three dimensions, respectively. The three-dimensional morphology parameters show the morphology fluctuation change of the whole structural surface, and the three-dimensional morphology parameters are more representative than the anisotropism reflected by the two-dimensional morphology parameters, but the two-dimensional morphology parameters are convenient and quick to acquire and are applied to the roughness analysis of the rock engineering for many years. Based on this, it is necessary to improve the accuracy of two-dimensional topography parameters in anisotropic analysis, better serving the actual engineering.
Disclosure of Invention
In order to improve the accuracy of two-dimensional morphology parameters in structural surface anisotropy analysis, the invention provides a rock structural surface anisotropy characteristic evaluation method based on the two-dimensional morphology parameters.
The technical scheme adopted for solving the technical problems is as follows:
a rock structural surface anisotropy characteristic evaluation method based on two-dimensional morphological parameters comprises the following steps:
1) Describing the structure surface anisotropy actual distribution characteristics by adopting two-dimensional morphology parameters, and drawing the structure surface anisotropy actual distribution characteristics on a polar coordinate graph;
2) Based on an anisotropic orthogonal distribution rule, determining four change curve sections divided by an orthogonal direction in a structural plane anisotropic polar coordinate distribution diagram;
3) From anisotropic analytical functions
Quick acquisition of four changesDistribution characteristics of curve segments on a polar graph. Wherein P is a profile parameter value of 0-180 DEG, when theta is 0, pi U (3 pi/2, 2 pi), P is a profile parameter value of 0-180 DEG, when theta is 0 pi/2, 3 pi/2, P is a profile parameter value of 180-0 DEG, K ρ Representing calculated values related to the anisotropy index within the corresponding angular range;
4) And (3) obtaining anisotropic distribution characteristics of the structural surface in different orthogonal directions by repeating the steps 2) and 3), and calculating relative errors of morphology parameter values corresponding to actual anisotropic distribution, wherein the anisotropic behavior of the anisotropic analytical function reaction with the smallest errors is the theoretical anisotropic distribution of the structural surface.
The beneficial effects of the invention are mainly as follows: (1) The method can accurately provide the anisotropic theoretical distribution behavior of the structural surface of the rock mass, and is helpful for determining the general rule of the anisotropic change of the structural surface. (2) The regular structural plane forming the orthogonal direction of the structural plane can be determined by combining the orthogonal distribution rule of the structural plane, so that a basis is provided for further determination of the anisotropic variation degree.
Drawings
FIG. 1 is a schematic diagram of the actual distribution of the anisotropy of the granite structure surface.
FIG. 2 is a schematic illustration of the actual distribution of anisotropy of the granite structure face at orthogonal directions of 0-180 and 90-270.
FIG. 3 is a schematic illustration of the actual distribution of anisotropy of the granite structure surface at 60-240 and 150-330 orthogonal directions.
Detailed Description
The invention is further described below with reference to the accompanying drawings.
Referring to fig. 1 to 3, a rock structural surface anisotropy feature evaluation method based on two-dimensional morphological parameters, the method comprises the following steps:
1) Describing the structure surface anisotropy actual distribution characteristics by adopting two-dimensional morphology parameters, and drawing the structure surface anisotropy actual distribution characteristics on a polar coordinate graph;
2) Based on an anisotropic orthogonal distribution rule, determining four change curve sections divided by an orthogonal direction in a structural plane anisotropic polar coordinate distribution diagram;
3) From anisotropic analytical functions
And quickly acquiring the distribution characteristics of the four variable curve segments on the polar coordinate graph. Wherein P is a profile parameter value of 0-180 DEG, when theta is 0, pi U (3 pi/2, 2 pi), P is a profile parameter value of 0-180 DEG, when theta is 0 pi/2, 3 pi/2, P is a profile parameter value of 180-0 DEG, K ρ Representing calculated values related to the anisotropy index within the corresponding angular range;
4) And (3) obtaining anisotropic distribution characteristics of the structural surface in different orthogonal directions by repeating the steps 2) and 3), and calculating relative errors of morphology parameter values corresponding to actual anisotropic distribution, wherein the anisotropic behavior of the anisotropic analytical function reaction with the smallest errors is the theoretical anisotropic distribution of the structural surface.
The concrete embodiments of the example are as follows by adopting a natural granite structural surface
1) Acquiring granite surface point cloud data by using a three-dimensional laser scanner, intercepting a structural surface with the thickness of 100mm multiplied by 100mm as a research object, and selecting a two-dimensional morphological parameter Z 2 Topographical features at different orientations at 10 ° increments are described, as shown in fig. 1.
2) Four anisotropic curve segments divided into orthogonal directions of 0-180 DEG and 90-270 DEG are preliminarily determined on a polar coordinate graph.
3) And obtaining an anisotropic distribution diagram of the integration of the four curve segments in the orthogonal direction according to the definition of the structural plane anisotropic analysis formula, as shown in figure 2.
4) And (3) repeating the steps (2) and (3) to determine the relative errors of the anisotropic distribution diagram of the granite structural surface and the morphology parameter values corresponding to the actual anisotropic distribution diagram under other orthogonal directions, wherein the relative errors are shown in table 1. The results show that the anisotropy distribution in the orthogonal directions of 60 ° -240 ° and 150 ° -330 ° is the theoretical anisotropy distribution of the structural plane, as shown in fig. 3.
TABLE 1
The embodiments described in this specification are merely illustrative of the manner in which the inventive concepts may be implemented. The scope of the present invention should not be construed as being limited to the specific forms set forth in the embodiments, but the scope of the present invention and the equivalents thereof as would occur to one skilled in the art based on the inventive concept.
Claims (1)
1. The rock structural surface anisotropy characteristic evaluation method based on the two-dimensional morphology parameters is characterized by comprising the following steps of:
1) Describing the structure surface anisotropy actual distribution characteristics by adopting two-dimensional morphology parameters, and drawing the structure surface anisotropy actual distribution characteristics on a polar coordinate graph;
2) Based on an anisotropic orthogonal distribution rule, determining four change curve sections divided by an orthogonal direction in a structural plane anisotropic polar coordinate distribution diagram;
3) From anisotropic analytical functions
Rapidly acquiring distribution characteristics of four variable curve segments on a polar coordinate graph, wherein P is a morphology parameter value of a profile line of 0-180 degrees, when theta epsilon (0, pi)/(3 pi/2, 2 pi), P is a morphology parameter value of 0-180 degrees, when theta epsilon (pi/2, 3 pi/2), P is a morphology parameter value of 180-0 degrees, K ρ Representing calculated values related to the anisotropy index within the corresponding angular range;
4) And (3) obtaining anisotropic distribution characteristics of the structural surface in different orthogonal directions by repeating the steps 2) and 3), and calculating relative errors of morphology parameter values corresponding to actual anisotropic distribution, wherein the anisotropic behavior of the anisotropic analytical function reaction with the smallest errors is the theoretical anisotropic distribution of the structural surface.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910479626.8A CN110348051B (en) | 2019-06-04 | 2019-06-04 | Rock structural surface anisotropy characteristic evaluation method based on two-dimensional morphological parameters |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910479626.8A CN110348051B (en) | 2019-06-04 | 2019-06-04 | Rock structural surface anisotropy characteristic evaluation method based on two-dimensional morphological parameters |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110348051A CN110348051A (en) | 2019-10-18 |
| CN110348051B true CN110348051B (en) | 2023-05-16 |
Family
ID=68181469
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910479626.8A Active CN110348051B (en) | 2019-06-04 | 2019-06-04 | Rock structural surface anisotropy characteristic evaluation method based on two-dimensional morphological parameters |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110348051B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106546189A (en) * | 2016-11-14 | 2017-03-29 | 绍兴文理学院 | A kind of anisotropic evaluation methodology of array of sizes rock mass discontinuity relief intensity |
| CN107036561A (en) * | 2016-11-14 | 2017-08-11 | 绍兴文理学院 | The anisotropic approximate expression method of structural plane roughness based on middle intelligence number function |
| CN107036905A (en) * | 2017-03-28 | 2017-08-11 | 中国地质大学（武汉） | A kind of two-dimentional roughness evaluation method of rock mass discontinuity and system |
| CN108446431A (en) * | 2018-02-06 | 2018-08-24 | 中国地质大学（武汉） | Rock structural face shear strength anisotropy evaluation method |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8792302B2 (en) * | 2010-05-26 | 2014-07-29 | Westerngeco L.L.C. | Estimating anisotropic parameters |
-
2019
- 2019-06-04 CN CN201910479626.8A patent/CN110348051B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106546189A (en) * | 2016-11-14 | 2017-03-29 | 绍兴文理学院 | A kind of anisotropic evaluation methodology of array of sizes rock mass discontinuity relief intensity |
| CN107036561A (en) * | 2016-11-14 | 2017-08-11 | 绍兴文理学院 | The anisotropic approximate expression method of structural plane roughness based on middle intelligence number function |
| CN107036905A (en) * | 2017-03-28 | 2017-08-11 | 中国地质大学（武汉） | A kind of two-dimentional roughness evaluation method of rock mass discontinuity and system |
| CN108446431A (en) * | 2018-02-06 | 2018-08-24 | 中国地质大学（武汉） | Rock structural face shear strength anisotropy evaluation method |
Non-Patent Citations (2)
| Title |
|---|
| 张世民 等.岩石节理三维粗糙度各向异性表征新方法.人民长江.2017,第48卷(第15期),第76-80页. * |
| 陈世江 等.岩体结构面粗糙度分维数量化表征研究进展.内蒙古科技大学学报.2018,第37卷(第2期),第103-110页. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110348051A (en) | 2019-10-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113587835A (en) | Method for checking and accepting bridge engineering quality by using three-dimensional laser scanning technology | |
| CN103453849B (en) | The complex curved surface parts method for three-dimensional measurement that many optical sensors are collaborative and system | |
| CN109631847B (en) | Threaded target pose calculation method based on point cloud data | |
| CN103093223B (en) | A kind of method for rapidly positioning of light spot image center | |
| CN103114848A (en) | Formation fracture space reconstruction method based on rock core measure | |
| CN109084708B (en) | Method for calculating integral roughness of two-dimensional contour surface of particle | |
| CN109141266B (en) | Steel structure measuring method and system | |
| CN104316014A (en) | Rapid measurement route planning method of sections of blades of aviation engine | |
| CN103913293A (en) | Optical transfer model measuring method in coding structured light system | |
| CN103106632A (en) | Fusion method of different-accuracy three-dimension point cloud data based on mean shift | |
| CN109211132A (en) | A kind of photogrammetric method for obtaining tall and big object deformation information of unmanned plane high-precision | |
| CN107036561B (en) | The anisotropic approximate expression method of structural plane roughness based on middle intelligence number function | |
| CN103191958B (en) | A kind of optical detecting method of sheet forming resilience | |
| CN103632338A (en) | Matching curve feature based image registration evaluating method | |
| CN106570338B (en) | Method for determining sampling precision of contour line in roughness size effect of rock mass structural plane | |
| CN106568365B (en) | A kind of detection of sphere hole system complex position degree error and assessment method | |
| CN108344361A (en) | A kind of planar process vector quantity measurement method based on laser tracker | |
| CN110348051B (en) | Rock structural surface anisotropy characteristic evaluation method based on two-dimensional morphological parameters | |
| CN204301670U (en) | Adjustable air throttle board plane degree measuring instrument | |
| CN110728027A (en) | Method for evaluating anisotropy rate of roughness coefficient of rock mass structural plane | |
| CN110006374A (en) | A kind of CFRP roughness measurement method obtaining image benchmark by multi-dimensional interpolation | |
| CN113819892B (en) | Deep sea reference net adjustment method based on half-parameter estimation and additional depth constraint | |
| CN102768025B (en) | Multi-step variable frequency projected fringe measurement method for measuring each point on object independently | |
| CN110362857B (en) | Theoretical model analysis method for anisotropic distribution characteristics of rock structural surface | |
| CN106546189A (en) | A kind of anisotropic evaluation methodology of array of sizes rock mass discontinuity relief intensity |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |