CN115357964A - Complex structural rock mass structure and accurate acquisition method of anisotropic characteristics thereof - Google Patents
Complex structural rock mass structure and accurate acquisition method of anisotropic characteristics thereof Download PDFInfo
- Publication number
- CN115357964A CN115357964A CN202210714975.5A CN202210714975A CN115357964A CN 115357964 A CN115357964 A CN 115357964A CN 202210714975 A CN202210714975 A CN 202210714975A CN 115357964 A CN115357964 A CN 115357964A
- Authority
- CN
- China
- Prior art keywords
- rock mass
- mass structure
- image
- complex structural
- acquiring
- 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.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N23/00—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
- G01N23/02—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material
- G01N23/04—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material and forming images of the material
- G01N23/046—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material and forming images of the material using tomography, e.g. computed tomography [CT]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/10—Numerical modelling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Geometry (AREA)
- Multimedia (AREA)
- Biochemistry (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Analytical Chemistry (AREA)
- Life Sciences & Earth Sciences (AREA)
- Evolutionary Computation (AREA)
- Computer Hardware Design (AREA)
- Chemical & Material Sciences (AREA)
- Pure & Applied Mathematics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Structural Engineering (AREA)
- Civil Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Architecture (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Computational Mathematics (AREA)
- Pulmonology (AREA)
- Radiology & Medical Imaging (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Computing Systems (AREA)
- Databases & Information Systems (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Investigating Strength Of Materials By Application Of Mechanical Stress (AREA)
Abstract
The invention relates to a complex structural rock mass structure and an accurate acquisition method of anisotropic characteristics of the complex structural rock mass structure. Is applicable to the technical field of rock mass engineering. The technical scheme adopted by the invention is as follows: a method for accurately acquiring a complex structural rock mass structure and anisotropic characteristics thereof is characterized by comprising the following steps: determining a structural characteristic typical region capable of representing a complex structural rock mass, wherein the region comprises representative information of the rock mass engineering; demarcating a measuring window for acquiring rock mass structure information in a typical region of rock mass structure characteristics; acquiring a window measurement image of rock mass structure information; identifying a rock mass structure in the rock mass structure information measurement window image, performing binarization processing on the measurement window image, and further accurately identifying the rock mass structure information on the basis of the binarization image; counting main rock mass structures in the rock mass structure information window measurement image, and establishing a relation between the rock mass structures and the colors of the graph; and (5) determining the mechanical characteristics of the main rock mass structure in the measurement window image through tests.
Description
Technical Field
The invention relates to a complex structural rock mass structure and an accurate acquisition method of anisotropic characteristics thereof. Is applicable to the technical field of rock mass engineering.
Background
In rock mass engineering, the definition of rock mass refers to the heterogeneity, discontinuity and geologic body with anisotropic characteristics composed of rocks containing various structural planes within a specific engineering. The rock mass is formed in the long-term geological history process, so the rock mass has corresponding structure and is closely related to the corresponding rock mass engineering.
For rock mass engineering, the acquisition of structural characteristics of rock mass is an important prerequisite for accurately acquiring rock mass mechanical parameters, and is also an important basis for rock mass engineering design, construction and safety and stability evaluation. Therefore, for the actual engineering of rock mass, the most important task is to study the structural characteristics of the rock mass, namely to determine the mechanical and engineering geological characteristics of the structural surface of the rock mass. The accurate acquisition of the rock mass structure and the geometric description thereof play an important role in engineering rock mechanics, hydraulics and engineering stability.
However, how the fracture network of the engineering rock mass and the geometrical characteristics thereof affect the mechanical properties of the rock mass is a problem to be continuously explored. Under the background, the method is more important for accurately acquiring the structural characteristics of the rock mass with the complex structure. However, most of the existing methods for acquiring rock mass structural information provide simplified structural characteristics on the basis of on-site survey, and certain difference exists in the requirements for preparing and acquiring the rock mass structural information.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: aiming at the existing problems, the method for accurately acquiring the complex structural rock mass structure and the anisotropic characteristics thereof is provided.
The technical scheme adopted by the invention is as follows: a method for accurately acquiring a complex structural rock mass structure and anisotropic characteristics thereof is characterized by comprising the following steps:
determining a structural characteristic typical region capable of representing a complex structural rock mass, wherein the region comprises representative information of the rock mass engineering;
demarcating a measuring window for acquiring rock mass structure information in a typical region of rock mass structure characteristics;
acquiring a window measurement image of rock mass structure information;
identifying the rock mass structure in the rock mass structure information window measurement image, performing binarization processing on the window measurement image, and then accurately identifying the rock mass structure information on the basis of the binarization image;
counting main rock mass structures in the rock mass structure information window measurement image, and establishing a relation between the rock mass structures and the graph colors;
the mechanical characteristics of the main rock mass structure in the measurement window image are determined through tests;
importing the rock mass image after binarization processing into DIP processing software, carrying out color identification by the DIP processing software, determining a rock mass structure on the rock mass according to the relation between the rock mass structure and the graph color, assigning the mechanical parameters of the rock mass structure on the identified rock mass according to the mechanical characteristics of the rock mass structure determined by the test, and constructing a plurality of different numerical calculation models;
comparing the rock mass stress-strain curve and the failure mode obtained by numerical simulation of the numerical calculation model and an indoor test, and performing parameter adjustment on the numerical calculation model to obtain a curve basically consistent with the failure mode of the indoor test;
testing the numerical calculation models of different dip angles to obtain mechanical characteristics and failure modes under different dip angles;
determining a mechanical boundary condition of a numerical calculation model according to the brittle failure characteristics of the rock mass;
determining typical mechanical parameters of different numerical calculation models according to the numerical analysis result;
the anisotropic characteristics of the numerical calculation model were analyzed and a variation curve was given.
The window measurement image for acquiring rock mass structure information comprises: and (3) using a digital image system or a CT scanning system to acquire images of the rock mass with the complex structure.
And counting the main rock mass structure in the rock mass structure information window measurement image, wherein the statistics comprises the shape of the rock mass structure, the direction and the number of joint surfaces and the trend inclination angle of the microcracks.
The testing of the numerical calculation models of different inclination angles to obtain mechanical characteristics and failure modes under different inclination angles comprises the following steps: the molds were made at 10 ° intervals, and 10 molds were made in total from 0 ° to 90 °.
The invention has the beneficial effects that: according to the method, a measurement window of a complex structural rock mass is obtained, then statistical analysis is carried out on related structures in the measurement window, then a representative region is selected for binarization processing, then different structures of the rock mass are distinguished according to binarization processing results, pictures after binarization processing are led into Digital Image Processing (DIP) software, mechanical parameters of the different structures are assigned according to test results, numerical calculation models in different directions are manufactured, mechanical boundary conditions of the numerical calculation models need to be set, typical mechanical parameters of the different models are determined according to numerical analysis results, finally, anisotropic characteristics of the numerical calculation models are analyzed, and a change curve is drawn. On the basis, the anisotropic characteristics of the complex structural rock mass can be accurately acquired, so that the practical problems in the engineering are solved, and the normal construction of the engineering and the life and property safety of workers are guaranteed.
Drawings
Fig. 1 is a schematic flow chart of a method for accurately acquiring a complex structural rock mass and various anisotropic characteristics thereof according to an embodiment of the present invention.
Fig. 2 is a schematic view of structural characteristics of a complex structural rock mass and structures in a measurement window provided by an embodiment of the invention.
Fig. 3 shows a digital image of a test window and a digital model identified based on DIP techniques according to an embodiment of the present invention.
FIG. 4 shows the stress-strain curve and failure mode of a columnar jointed rock mass according to an embodiment of the invention.
Fig. 5 is a shear stress-strain curve of the numerical model of the columnar jointed rock mass provided by the embodiment of the invention.
Fig. 6 is a result of numerical simulation of a structural plane when included angles are different according to an embodiment of the present invention: including modulus of elasticity, maximum principal stress, acoustic emission.
Fig. 7 is a stress-strain curve of a model containing microcracks and structural planes and a model not containing microcracks and structural planes and a generic model provided by an embodiment of the invention.
Fig. 8 is a graph showing anisotropy of peak intensity, poisson's ratio, and the like, provided by an embodiment of the present invention.
Detailed Description
As shown in fig. 1, the embodiment is a method for accurately acquiring a complex structural rock mass structure and anisotropic characteristics thereof, and specifically includes the following steps:
in step 101, a typical region capable of representing structural characteristics of a complex structural rock mass is determined.
And carrying out engineering geological survey on the region of the rock mass structural information to be obtained, selecting a typical region capable of representing the structural characteristics of the complex structural rock mass, wherein the typical region comprises the representative information of the rock mass engineering, such as structural planes, joints, cracks and the like. In this embodiment, a columnar jointed rock mass is selected, which contains microcracks and structural planes and is distributed irregularly.
The size range of the rock mass structural characteristic measuring window in the embodiment is selected as follows: 2.0 m.times.2.0 m. It can be observed that the white dotted line is the columnar joint structure in the schematic diagram 2a of the sampling window, the solid white line is the prism line of the rock pillar, the solid blue line in the rock pillar is the microcrack and the structural plane, and fig. 2b is a fine schematic diagram of the measurement window corresponding to fig. 2 a. And calculating the diameter of the rock pillar passing through the central line by using the central line in the horizontal direction as a base line in the measuring window.
And 103, acquiring an image of the typical rock mass structure information measuring window.
In the process of acquiring typical rock mass structure information measurement window images, the definition degree of the acquired image information is ensured, and the related requirements for clearly identifying the rock mass structure are met. If the measuring window of the rock mass structure information is too large and does not meet the requirement of single-width camera shooting, a plurality of surfaces can be spliced to obtain the related image of the large-size measuring window.
In this embodiment, a 2.0 mx 2.0m measurement window is selected, and a digital image system or a CT scanning system is optionally used to acquire images of the complex structural rock mass.
And step 104, identifying the rock mass structure in the rock mass structure information measurement window image.
Firstly, carrying out binarization processing on a window measurement image, and then accurately identifying rock mass structure information on the basis of the binarization image.
In this embodiment, the color information of the pixel points in the obtained digital image needs to be identified and classified by using a DIP technique, that is, the pixel points are processed into a set of integer variables, and finally the digital image is divided into square units or grids.
And 105, counting the main rock mass structure in the rock mass structure information measurement window image.
After the identification of the related structure of the rock mass structure information measurement window, the main rock mass structure of the rock mass information measurement window is counted, wherein the statistics comprises the shape of the rock mass structure, the direction and the number of joint surfaces, the trend inclination angle of micro-cracks and the like.
In a digital image, the major rock mass structures are displayed in different colors and can be clearly distinguished during pixel identification and classification, so that the relationship between the rock mass structures and the colors is established in the embodiment to distinguish materials and parameters in numerical simulation, as shown in fig. 3a, a solid blue line represents a microcrack and a structural plane, a solid black line represents a columnar joint, and the DIP technology is used for digital processing, and the result is shown in fig. 3 b.
and 106, determining the mechanical properties of the rock mass in the rock mass structure composition. Obtaining a rock mass structure in a typical structure of a natural rock mass, and manufacturing the rock mass structure into a rock core with standard size, wherein the size of the rock core can be phi 50mm multiplied by 100mm; and (3) performing a uniaxial compression test on the rock sample with the standard size to obtain the typical mechanical properties such as the elastic modulus, the strength, the Poisson ratio and the like. Fig. 4 shows the failure mode and stress-strain curve of 5 standard-sized test specimens.
And step 107, determining the mechanical characteristics of the structural surface in the rock mass structure composition. Obtaining a natural rock mass structural plane of the rock mass structural information composition, and manufacturing a natural rock mass structural plane sample with a standard size; and carrying out a shear mechanics test on the natural rock mass structural plane sample to obtain shear mechanics characteristics such as shear strength, shear modulus and the like. In the embodiment, a model with the size of 250mm x 250mm is selected, the mechanical parameters of the columnar joints are continuously adjusted, and the shear strength is calculated until the required shear strength is simulated. Refer to fig. 5.
And 108, importing the rock mass sample subjected to binarization processing into DIP processing software.
The method comprises the steps of obtaining a digital image of a rock sample, guiding the rock sample image after binarization processing into DIP processing software for color identification, wherein the DIP software of the rock structure needs to meet the function of accurately identifying the rock structure according to the pixel color of a picture, namely processing pixel points into a group of integer variables in a gray scale space, and finally segmenting the digital image into square units or grids. In numerical simulation, the grid is mapped directly into the desired cells. Displayed in different colors in the digital image, can be clearly distinguished during pixel identification and classification. On the basis, materials and parameters in the numerical simulation are distinguished according to the established relation between the rock mass structure and the pattern color, the mechanical parameters of the rock mass structure on the identified rock mass are assigned according to the mechanical characteristics of the rock mass structure determined by the test, and a plurality of different numerical calculation models are constructed.
Referring to the color information contained in the digital image shown in fig. 3, the color information is distinguished according to the change of the structural feature I, and the median I of two adjacent different color structures is taken as a threshold for distinguishing different structures.
And step 109, determining the mechanical parameters of different structures according to the test result.
The columnar joint rock mass structure mainly comprises a basalt column, columnar joints, columnar microcracks and a structural plane. The checking and determining of the mechanical parameters of the structure are necessary preconditions for obtaining reliable numerical simulation results, and therefore the mechanical parameters of the columnar jointed rock body need to be determined.
In the embodiment, the stress-strain curve and the failure mode of the columnar jointed rock mass are obtained by comparing the numerical simulation of the numerical calculation model and an indoor test, and the mechanical parameters of the columnar jointed rock mass are further obtained by adopting a trial and error method. And in order to ensure that the sizes of the numerical simulation model and the indoor test model are the same, the parameters are continuously adjusted in the numerical simulation example to obtain a curve basically consistent with the damage mode of the indoor test, and the numerical simulation is carried out by adopting the numerical value.
In the embodiment, in order to analyze the influence of the structural complexity on the mechanical property of the rock mass, three groups of models A, B and C are manufactured, wherein the group A specifically considers the main characteristics of the columnar jointed rock mass, including columnar joints, columnar microcracks, columnar structural planes and the like; the B group of models excludes a part of structures, such as microcracks and structural surfaces; by comparing A and B, researching the mechanics and destruction characteristics of the columnar jointed rock mass; the group C model adopts a straight line to replace a columnar joint on the basis of the group B model; by comparing the model B with the model C, the influence of the structural characteristics of the columnar jointed rock mass on the mechanics and destruction characteristics of the columnar jointed rock mass is analyzed unfortunately.
And step 110, making numerical calculation models in different directions.
After determining the mechanical parameters of different structures, testing the numerical calculation models of different inclination angles to obtain the mechanical characteristics and failure modes under different inclination angles, and taking an included angle alpha between the longitudinal direction of the rock pillar and the loading direction as a reference when selecting a simulation area.
In the embodiment, in order to understand the mechanical properties and the failure characteristics of the columnar jointed rock mass in different stress directions, 10 models are manufactured at intervals of 10 degrees, and 10 models of 0-90 degrees are manufactured in total, as shown in fig. 6.
The purpose of making models with different included angles is to compare and summarize the failure characteristics of the models with different included angles and draw corresponding stress-strain curves. Further, engineering examples can be tested to obtain data suitable for actual engineering.
The complex structure rock mass shows obvious brittle failure characteristics under the action of pressure, the embodiment adopts numerical simulation software to carry out mechanical simulation of the model so as to simulate the failure process of brittle materials such as rock, and adopts the elastic brittle failure constitutive model to describe the mechanical behavior of the rock in the brittle failure process.
After a numerical calculation model of the columnar jointed rock mass is established, boundary conditions need to be set for the model according to the brittle failure characteristics of the rock mass. The lower plate is set as a fixed interface and the upper plate is set as an interface subjected to normal stress. On mechanical boundaries, the numerical model can be simulated using displacement control.
And step 112, determining typical mechanical parameters of different models according to the numerical analysis result.
After the mechanical boundary conditions of the numerical calculation model are set, the shear strength of the joint surface can be calculated by continuously adjusting the mechanical parameters of each columnar joint until the shear strength of the joint surface meeting the requirements is obtained through simulation. And calibrating different mechanical parameters for the defect structure in the simulation, and performing parameter assignment on different structural compositions of the digital image.
And step 113, analyzing the anisotropic characteristics of the numerical calculation model and giving a change curve.
In the embodiment, three groups of columnar jointed rock mass models A, B and C are established. In the previous process, models with different included angles are manufactured, and the purpose is to compare and summarize the damage characteristics of the models with different included angles and draw a corresponding stress-strain curve, so that engineering examples can be tested, data suitable for actual engineering can be obtained, and guarantee is provided for normal construction of engineering and life and property safety of workers.
In this embodiment, a series of graphs of the columnar jointed rock mass are obtained through numerical calculation model simulation, and the difference of the stress-strain graphs in fig. 7 directly reflects the progressive nonlinear influence caused by the microcracks and irregular columns in the rock-soil failure evolution process.
Fig. 8 shows the peak intensity of three sets of columnar jointed rock mass models as a function of the included angle α, and it can be observed that the peak intensities of the three sets of numerical models all show significant anisotropy, that is, the peak intensity shows a U-shaped change as α increases, and the peak intensity is at the lowest at α =30 °. And it is noted that the presence of microcracks and irregular pillars actually weakens the directionality of the formation in the rock mass and thus the directionality of the columnar jointed rock mass. The expansion of the microcracks can cause early damage to the rock pillar, the irregular pillar can generate stress concentration when deforming, and the pillar can also cause early damage, so that the bearing capacity of the columnar jointed rock body along the longitudinal direction of the pillar is low, but the bearing capacity of the columnar jointed rock body in the transverse direction is high.
The modulus of elasticity decreases monotonically with increasing included angle α. The three groups of columnar jointed rock mass models have weak columnar joint strength and are main factors for controlling deformation. When the included angle alpha is small, the uniaxial stress of the model is mainly maintained by a strong columnar structure, and the deformation of the whole model is very small. With the gradual increase of the included angle alpha, the model gradually deforms, and the modulus of elasticity of the columnar joint is relatively low.
When the included angle of the model is alpha, the strain of the peak stress shows very obvious anisotropy along with the change of the included angle alpha due to the change of the axial strain corresponding to the peak intensity. And the side strain and poisson's ratio appear in an inverted U-shape as the angle alpha changes, which is opposite to the trend of the peak intensity and corresponding strain.
On the basis of obtaining a complex structural rock mass measurement window, statistical analysis is carried out on a relevant structure in the measurement window, and then a representative region is selected for binarization processing; and then, distinguishing different structures of the rock mass according to a binarization processing result, further importing the picture after binarization processing into a numerical calculation program, assigning mechanical parameters of different structures according to a test result, manufacturing numerical calculation models in different directions, setting mechanical boundary conditions of the numerical calculation models, determining typical mechanical parameters of different models according to a numerical analysis result, and finally analyzing anisotropic characteristics of the numerical calculation models and drawing a change curve. On the basis, the anisotropic characteristics of the complex structural rock mass can be accurately acquired, so that the practical problems in the engineering are solved, and the normal construction of the engineering and the life and property safety of workers are guaranteed.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (4)
1. A method for accurately acquiring a complex structural rock mass structure and anisotropic characteristics thereof is characterized by comprising the following steps:
determining a structural characteristic typical region capable of representing a complex structural rock mass, wherein the region comprises representative information of the rock mass engineering;
demarcating a measuring window for acquiring rock mass structure information in a typical region of rock mass structure characteristics;
acquiring a window measurement image of rock mass structure information;
identifying the rock mass structure in the rock mass structure information window measurement image, performing binarization processing on the window measurement image, and then accurately identifying the rock mass structure information on the basis of the binarization image;
counting main rock mass structures in the rock mass structure information window measurement image, and establishing a relation between the rock mass structures and the graph colors;
the mechanical characteristics of the main rock mass structure in the measurement window image are determined through tests;
importing the rock mass image after binarization processing into DIP processing software, carrying out color identification by the DIP processing software, determining a rock mass structure on the rock mass according to the relation between the rock mass structure and the graph color, assigning the mechanical parameters of the rock mass structure on the identified rock mass according to the mechanical characteristics of the rock mass structure determined by the test, and constructing a plurality of different numerical calculation models;
comparing the numerical simulation of the numerical calculation model with the rock mass stress-strain curve and the failure mode obtained by the indoor test, and performing parameter adjustment on the numerical calculation model to obtain a curve basically consistent with the failure mode of the indoor test;
testing the numerical calculation models of different inclination angles to obtain mechanical characteristics and failure modes under different inclination angles;
determining a mechanical boundary condition of a numerical calculation model according to the brittle failure characteristics of the rock mass;
determining typical mechanical parameters of different numerical calculation models according to the numerical analysis result;
the anisotropic characteristics of the numerical calculation model are analyzed and a variation curve is given.
2. The method for accurately acquiring the complex structural rock mass structure and the anisotropic characteristics of the complex structural rock mass structure according to claim 1, wherein the acquiring of the rock mass structure information window measurement image comprises the following steps: and (3) using a digital image system or a CT scanning system to acquire images of the rock mass with the complex structure.
3. The method for accurately acquiring the complex structural rock mass structure and the anisotropic characteristics thereof according to claim 1, wherein the statistics of the main rock mass structure in the rock mass structure information window measurement image comprise the shape of the rock mass structure, the direction and the number of the joint surfaces and the trend inclination angle of the microcracks.
4. The method for accurately acquiring the complex structural rock mass structure and the anisotropic characteristics thereof according to claim 1, wherein the step of testing the numerical calculation models with different inclination angles to acquire the mechanical characteristics and the failure modes under the conditions of different inclination angles comprises the following steps: the molds were made at 10 ° intervals, and 10 molds were made in total from 0 ° to 90 °.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210714975.5A CN115357964A (en) | 2022-06-23 | 2022-06-23 | Complex structural rock mass structure and accurate acquisition method of anisotropic characteristics thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210714975.5A CN115357964A (en) | 2022-06-23 | 2022-06-23 | Complex structural rock mass structure and accurate acquisition method of anisotropic characteristics thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115357964A true CN115357964A (en) | 2022-11-18 |
Family
ID=84030177
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210714975.5A Pending CN115357964A (en) | 2022-06-23 | 2022-06-23 | Complex structural rock mass structure and accurate acquisition method of anisotropic characteristics thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115357964A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117710365A (en) * | 2024-02-02 | 2024-03-15 | 中国电建集团华东勘测设计研究院有限公司 | Processing method and device for defective pipeline image and electronic equipment |
-
2022
- 2022-06-23 CN CN202210714975.5A patent/CN115357964A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117710365A (en) * | 2024-02-02 | 2024-03-15 | 中国电建集团华东勘测设计研究院有限公司 | Processing method and device for defective pipeline image and electronic equipment |
| CN117710365B (en) * | 2024-02-02 | 2024-05-03 | 中国电建集团华东勘测设计研究院有限公司 | Processing method and device for defective pipeline image and electronic equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Tung et al. | Development of digital image correlation method to analyse crack variations of masonry wall | |
| Rimkus et al. | Processing digital images for crack localization in reinforced concrete members | |
| Zhao et al. | Study on failure characteristic of rock‐like materials with an open‐hole under uniaxial compression | |
| CN109374870B (en) | Method and device for evaluating repairing performance of cement-based self-repairing material | |
| CN115357964A (en) | Complex structural rock mass structure and accurate acquisition method of anisotropic characteristics thereof | |
| CN116245007A (en) | Joint rock REV numerical simulation acquisition method and system based on image recognition | |
| CN115018986B (en) | Strong-structure active region rock microstructure information interpretation and three-dimensional modeling method | |
| CN106531657A (en) | Appearance inspection method and inspection system of inkless wafer | |
| CN112150001A (en) | Surrounding rock stability evaluation method based on photogrammetry, BQ and improved Mathews stability diagram | |
| Reedy | Review of digital image analysis of petrographic thin sections in conservation research | |
| CN113570652B (en) | Sandstone reservoir mineral intercrystalline pore quantitative analysis method based on SEM image | |
| CN114626215A (en) | Rock slope modeling method based on discrete element and synthetic rock mass technology | |
| CN108717063A (en) | A kind of concrete damage method for quantitative measuring | |
| CN106934729B (en) | Building detection and identification method and device | |
| CN113642209B (en) | Structure implantation fault response data acquisition and evaluation method based on digital twinning | |
| CN113884361A (en) | 3D printing modeling method for restoring primary macroscopic cracks of coal rock standard test piece | |
| CN207882178U (en) | A kind of concrete fracture assessment of impairments device | |
| CN114280273A (en) | Big data-based intelligent analysis system for tunnel excavation face instability model simulation test | |
| CN115325950A (en) | Non-contact measuring method for microscopic deformation of grotto cultural relics based on digital image technology | |
| CN106771062A (en) | The quantitative description of Rock Mass Integrality | |
| CN113281148A (en) | Method for identifying initial time of rock creep damage microcrack penetration stage | |
| CN105548202A (en) | Automatic concrete shrinkage crack monitoring system | |
| CN117688765A (en) | Asphalt pavement cracking precursor acquisition method based on acoustic emission parameter mutation | |
| CN118009915B (en) | Calibration and verification method for tunnel surrounding rock deformation measurement equipment | |
| CN115326545B (en) | Conglomerate fracturing crack deflection and crack complexity prediction method |
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 |