Method and device for preparing specific jointed rock sample

Abstract

The invention discloses a method and a device for preparing a specific jointed rock sample. The method comprises the following steps: determining target parameters of a to-be-prepared rock sample containing a specific joint according to indoor test requirements; calculating the slope root mean square of the two-dimensional joint contour line of the specific joint according to the target parameters; processing the standard two-dimensional joint contour line based on statistical analysis, and determining a random walk two-dimensional curve with a rough joint form; calculating the slope root mean square of the random walk two-dimensional curve; calculating an adjustment coefficient; the random walk curve is adjusted through the adjustment coefficient, and a specific two-dimensional joint contour line is generated; and preparing a specific jointed rock sample according to the specific two-dimensional joint contour line. According to the method, the two-dimensional joint contour line with specific length, joint roughness coefficient and joint goodness of fit coefficient can be generated, and the requirements for manufacturing various joint-containing rock samples are met. The method for obtaining the geometrical morphology data of the joint surface is simple, and the test operation process is simplified.

Description

Technical Field

[0001] The invention belongs to the technical field of rock engineering, and in particular relates to a method and a device for preparing a specific jointed rock sample. Background Art

[0002] Natural rock masses contain numerous discontinuous structural surfaces, such as joints and fissures. The characteristics of these joints and fissures are a crucial rock physical property. The mechanical properties of rock masses are largely influenced by the numerous, complexly distributed, and multi-scale complex joints, which impart size effects, heterogeneity, and discontinuities to the rock mass. Therefore, studying the geometric characteristics of the surface morphology of joint roughness, as well as the effects of joint roughness and conformality on the shear strength and deformation behavior of rock joints, and rationally determining the mechanical parameters of joints are crucial for the construction and design of rock mass engineering, as well as for predicting rock mass deformation and stability.

[0003] The mechanical properties of engineering rock masses containing joints are extremely complex. Currently, relevant mechanical parameters are primarily obtained through field geological surveys and laboratory tests. However, in-situ tests, due to factors such as the varying measurement locations, yield significant dispersion in the mechanical parameters obtained. In contrast, laboratory tests, with their controllable experimental conditions and the ability to conduct numerous repeated tests, have become an effective means of studying the mechanical properties of jointed rock masses. Currently, the primary method for preparing jointed rock specimens for laboratory tests is to cut raw rock or similar materials using water jet cutting or wire cutting equipment. Both methods require the acquisition of joint surface morphology data. In addition to directly using 10 standard rough joint profiles, joint surface morphology data is primarily obtained by field measurement using equipment such as 3D laser scanning, or by scanning rock specimens formed during laboratory testing. Joint surface roughness is then quantitatively characterized using the existing formula for calculating the joint roughness coefficient (JRC) based on 2D contour lines.

[0004] The JRC values for the traditional 10 standard rough joint profiles range from 0 to 20. Each joint profile has a unique JRC value and is fixed at 100 mm. The JRC is unrelated to the joint conformity coefficient (JMC), an independent geometric parameter used to describe the degree of conformity between two joint surfaces. The JMC is calculated as the percentage of the area of the contacting joint surfaces to the total joint surface area and ranges from 0 to 1. For the traditional 10 standard rough joint two-dimensional profiles, a JRC of 1 indicates perfect conformity between the two joint surfaces. This makes it difficult to prepare jointed rock specimens of varying lengths with specific roughness and conformity. Field measurements of joint surfaces in different sampling directions, sizes, and intervals directly impact the evaluation results. Rock samples formed by splitting indoors are the same as those measured in the field. They must be measured with relevant measuring equipment to obtain the geometric morphology data of the joint surface, and then processed using reverse analysis software to reconstruct the rock joint surface. The operation process is complicated and difficult, and it is impossible to obtain rock joint profiles of different lengths with specific roughness and fit. Summary of the Invention

[0005] One object of the present invention is to provide a method and device for preparing specific jointed rock samples, which can solve the technical problems in the prior art of preparing jointed rock samples, such as the complexity and difficulty in collecting the morphological characteristics of the joint rough surface and the inability to obtain rock joint profiles with specific lengths, roughness coefficients and fit coefficients.

[0006] According to a first aspect of the present invention, there is provided a method for preparing a specific jointed rock sample, comprising:

[0007] Determine target parameters of rock samples containing specific joints to be prepared according to indoor test requirements, including joint length, joint roughness coefficient, and joint conformity coefficient;

[0008] Calculating the root mean square of the slope of the two-dimensional joint contour line of the specific joint according to the target parameter;

[0009] Based on statistical analysis, the standard two-dimensional joint contour line is processed to determine a random walk two-dimensional curve with rough joint morphology;

[0010] Calculating the root mean square of the slope of the random walk two-dimensional curve according to the fluctuation of the random walk two-dimensional curve and the root mean square of the slope of the two-dimensional joint contour line of the specific joint;

[0011] Calculating an adjustment coefficient according to the root mean square of the slope of the random walk two-dimensional curve and the root mean square of the slope of the two-dimensional joint contour line of the specific joint;

[0012] The random walk curve is adjusted by the adjustment coefficient to generate a specific two-dimensional joint contour line;

[0013] A specific jointed rock sample is prepared according to the specific two-dimensional joint contour line.

[0014] Optionally, calculating the root mean square of the slope of the two-dimensional joint contour line of a specific joint according to the target parameter includes:

[0015] The root mean square slope of the two-dimensional joint contour line of a specific joint is calculated according to the following formula:

[0016]

[0017] JCR0=32.2+32.47logZ0;

[0018] Among them, JCR F It represents the joint roughness coefficient of the rock sample with specific joints that needs to be prepared according to the requirements of the indoor test, L F represents the joint length of the rock specimen with specific joints that needs to be prepared according to the requirements of the indoor test, JCR0 represents the roughness coefficient of the joint under the laboratory size, L0 represents the laboratory joint length, and Z0 represents the root mean square of the slope of the two-dimensional joint contour line of the specific joint.

[0019] Optionally, the calculating the root mean square of the slope of the random walk two-dimensional curve according to the fluctuation of the random walk two-dimensional curve and the root mean square of the slope of the two-dimensional joint contour line of the specific joint includes:

[0020] The fluctuation of the random walk two-dimensional curve is quantified using the following discrete root mean square equation:

[0021]

[0022] Wherein, N represents the number of discrete points of the random walk two-dimensional curve, x i+1 -x i Indicates the measurement step length, z i+1 represents the Z-axis coordinate of the i+1th joint discrete point, z i represents the Z-axis coordinate of the i-th joint discrete point, and Z1 represents the root mean square of the slope of the random walk two-dimensional curve.

[0023] Optionally, the calculating the adjustment coefficient according to the root mean square of the slope of the random walk two-dimensional curve and the root mean square of the slope of the two-dimensional joint contour line of the specific joint includes:

[0024] The adjustment coefficient calculation formula is as follows:

[0025]

[0026] Among them, Z0 represents the root mean square of the slope of the two-dimensional joint contour line of a specific joint, Z1 represents the root mean square of the slope of the random walk two-dimensional curve, and K represents the adjustment coefficient.

[0027] Optionally, adjusting the random walk curve by using the adjustment coefficient includes:

[0028] The fluctuation of the random walk two-dimensional curve is described by the structure function, and the structure function S(x) is expressed as:

[0029] S(x)=<(Y(X+x)-Y(x)) 2 >

[0030] Where Y represents the vertical coordinate, X represents the horizontal coordinate, and x represents the measurement distance;

[0031] The joint surface elevation of the random walk two-dimensional curve is adjusted according to the structural function and the adjustment coefficient, and the formula is as follows:

[0032] Z = KS(x);

[0033] Where Z represents the joint surface elevation and K represents the adjustment coefficient.

[0034] Optionally, the process of generating the random walk two-dimensional curve includes:

[0035] Discretize the standard two-dimensional joint contour into multiple micro-segment straight lines with fixed spacing;

[0036] Measure the endpoints of the micro-segment straight line;

[0037] Calculate the height fluctuation of each micro-segment straight line according to the endpoints of the micro-segment straight line;

[0038] Generate random numbers with fixed interval fluctuations based on normal distribution;

[0039] The random number is used to superimpose the height of each micro-segment straight line to generate a random walk two-dimensional curve.

[0040] Optionally, after generating the specific two-dimensional joint contour line, the method further includes:

[0041] Selecting non-contact areas on the specific two-dimensional joint contour line, wherein the number and length of the non-contact areas are determined according to the joint matching coefficient and the joint length;

[0042] Increasing the joint contour lines in the non-contact area except for the two end points by a specified height in the Z height direction, so that the joint contour lines in the non-contact area are separated from the joint contour lines at the two ends of the non-contact area;

[0043] Connecting the joint contour line of the non-contact area after separation with both end points to form the other half of the reconstructed joint contour line;

[0044] adjusting the elevation of a portion corresponding to the non-contact area in the reconstructed other half of the joint contour line according to the adjustment coefficient;

[0045] A specific joint rock sample is prepared according to the specific two-dimensional joint contour line and the reconstructed other half joint contour line.

[0046] According to a second aspect of the present invention, there is provided an apparatus for applying the method for preparing a specific jointed rock sample according to the first aspect of the present invention, comprising:

[0047] A determination module is used to determine target parameters of a rock sample containing specific joints that needs to be prepared according to indoor test requirements, wherein the target parameters include joint length, joint roughness coefficient, and joint conformity coefficient;

[0048] A first calculation module is used to calculate the root mean square of the slope of the two-dimensional joint contour line of the specific joint according to the target parameter;

[0049] A first processing module is used to process the standard two-dimensional joint contour line based on statistical analysis to determine a random walk two-dimensional curve with a rough joint morphology;

[0050] a second calculation module, configured to calculate a root mean square of a slope of the random walk two-dimensional curve according to an undulation of the random walk two-dimensional curve and a root mean square of a slope of a two-dimensional joint contour line of the specific joint;

[0051] A third calculation module is used to calculate an adjustment coefficient according to the root mean square of the slope of the random walk two-dimensional curve and the root mean square of the slope of the two-dimensional joint contour line of the specific joint;

[0052] A generating module, configured to adjust the random walk curve by using the adjustment coefficient to generate a specific two-dimensional joint contour line;

[0053] A preparation module is used to prepare a specific jointed rock sample according to the specific two-dimensional joint contour line.

[0054] Optionally, the first processing module is further configured to:

[0055] Discretize the standard two-dimensional joint contour into multiple micro-segment straight lines with fixed spacing;

[0056] Measure the endpoints of the micro-segment straight line;

[0057] Calculate the height fluctuation of each micro-segment straight line according to the endpoints of the micro-segment straight line;

[0058] Generate random numbers with fixed interval fluctuations based on normal distribution;

[0059] The random number is used to superimpose the height of each micro-segment straight line to generate a random walk two-dimensional curve.

[0060] Optionally, the device further includes a second processing module, wherein the second processing module is configured to:

[0061] Selecting non-contact areas on the specific two-dimensional joint contour line, wherein the number and length of the non-contact areas are determined according to the joint matching coefficient and the joint length;

[0062] Increasing the joint contour lines in the non-contact area except for the two end points by a specified height in the Z height direction, so that the joint contour lines in the non-contact area are separated from the joint contour lines at the two ends of the non-contact area;

[0063] Connecting the joint contour line of the non-contact area after separation with both end points to form the other half of the reconstructed joint contour line;

[0064] adjusting the elevation of a portion corresponding to the non-contact area in the reconstructed other half of the joint contour line according to the adjustment coefficient;

[0065] A specific joint rock sample is prepared according to the specific two-dimensional joint contour line and the reconstructed other half joint contour line.

[0066] The present invention has the following advantages: it can generate two-dimensional joint contour lines with specific lengths, joint roughness coefficients, and joint conformity coefficients, meeting the requirements for preparing various jointed rock specimens. The method for obtaining joint surface geometric morphology data is simple, simplifying the experimental operation process. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] Figure 1 The present invention is a flowchart of a method for preparing a specific jointed rock sample according to an embodiment of the present invention. DETAILED DESCRIPTION

[0068] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that unless otherwise specifically stated, the relative arrangement of components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention.

[0069] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.

[0070] Techniques, methods, and apparatus known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and apparatus should be considered part of the specification. In all examples shown and discussed herein, any specific values should be interpreted as merely exemplary and not limiting. Therefore, other examples of the exemplary embodiments may have different values.

[0071] It should be noted that like reference numerals and letters refer to like items in the following figures, and therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0072] In the specification and claims of the present invention, references to features using the terms "first" or "second" may explicitly or implicitly include one or more of such features. In the description of the present invention, unless otherwise specified, "plurality" means two or more. Furthermore, in the specification and claims, "and / or" refers to at least one of the connected entities, and the character " / " generally indicates an "or" relationship between the connected entities.

[0073] like Figure 1 As shown, this embodiment introduces a method for preparing a specific jointed rock sample, including steps 1100-1700.

[0074] Step 1100: Determine target parameters of a rock sample containing specific joints to be prepared according to indoor test requirements, wherein the target parameters include joint length, joint roughness coefficient, and joint matching coefficient.

[0075] Determine the joint length L of the jointed rock sample to be prepared according to the indoor test requirements F , joint roughness coefficient JCR F and joint conformity coefficient JMC F The study of Barton's standard profile curve shows that the joint roughness coefficient JCR0 has a close one-to-one correspondence with the slope root mean square Z0. For rough joints with a joint length greater than 10 cm, the calculation of the joint roughness coefficient also needs to consider the size effect.

[0076] Step 1200: Calculate the root mean square of the slope of the two-dimensional joint contour line of the specific joint according to the target parameters.

[0077] The root mean square slope of the two-dimensional joint contour line of a specific joint is calculated according to the following formula:

[0078]

[0079] JCR0=32.2+32.47log Z0;

[0080] Among them, JCR F It represents the joint roughness coefficient of the rock sample with specific joints that needs to be prepared according to the requirements of the indoor test, L F represents the joint length of the rock specimen with specific joints that needs to be prepared according to the requirements of the indoor test, JCR0 represents the roughness coefficient of the joint under the laboratory size, L0 represents the laboratory joint length, and Z0 represents the root mean square of the slope of the two-dimensional joint contour line of the specific joint.

[0081] Step 1300: Process the standard two-dimensional joint contour line based on statistical analysis to determine a random walk two-dimensional curve with a rough joint morphology.

[0082] Statistical analysis is performed on the standard two-dimensional joint contours to generate random walk two-dimensional curves.

[0083] Step 1400: Calculate the root mean square of the slope of the random walk two-dimensional curve according to the fluctuation of the random walk two-dimensional curve and the root mean square of the slope of the two-dimensional joint contour line of the specific joint.

[0084] The fluctuation of the random walk two-dimensional curve is quantified using the following discrete root mean square equation:

[0085]

[0086] Wherein, N represents the number of discrete points of the random walk two-dimensional curve, x i+1 -x i Indicates the measurement step length, z i+1 represents the Z-axis coordinate of the i+1th joint discrete point, z i represents the Z-axis coordinate of the i-th joint discrete point, and Z1 represents the root mean square of the slope of the random walk two-dimensional curve.

[0087] Step 1500: Calculate an adjustment coefficient according to the root mean square of the slope of the random walk two-dimensional curve and the root mean square of the slope of the two-dimensional joint contour line of the specific joint.

[0088] The adjustment coefficient calculation formula is as follows:

[0089]

[0090] Among them, Z0 represents the root mean square of the slope of the two-dimensional joint contour line of a specific joint, Z1 represents the root mean square of the slope of the random walk two-dimensional curve, and K represents the adjustment coefficient.

[0091] Step 1600: Adjust the random walk curve using the adjustment coefficient to generate a specific two-dimensional joint contour line.

[0092] The fluctuation of the random walk two-dimensional curve is described by the structure function, and the structure function S(x) is expressed as:

[0093] S(x)=<(Y(X+x)-Y(x)) 2 >;

[0094] Where Y represents the vertical coordinate, X represents the horizontal coordinate, and x represents the measurement distance;

[0095] The joint surface elevation of the random walk two-dimensional curve is adjusted according to the structural function and the adjustment coefficient, and the formula is as follows:

[0096] Z = KS(x);

[0097] Where Z represents the joint surface elevation and K represents the adjustment coefficient.

[0098] Step 1700: Prepare a specific jointed rock sample according to the specific two-dimensional joint contour line.

[0099] The present invention can generate two-dimensional joint contour lines with specific lengths, joint roughness coefficients, and joint conformity coefficients, meeting the requirements for producing various jointed rock specimens. The method for obtaining joint surface geometric morphology data is simple, simplifying the experimental operation process.

[0100] In this embodiment, the process of generating the random walk two-dimensional curve includes steps 2100-2500.

[0101] Step 2100: Discretize the standard two-dimensional joint contour line into multiple micro-segment straight lines with fixed spacing.

[0102] Step 2200: Measure the endpoints of the micro-segment straight line.

[0103] Step 2300: Calculate the height fluctuation of each micro-segment straight line according to the endpoints of the micro-segment straight line.

[0104] Step 2400: Generate random numbers with fixed interval fluctuations based on normal distribution.

[0105] Step 2500: Use the random number to superimpose the height of each micro-segment straight line to generate a random walk two-dimensional curve.

[0106] The standard two-dimensional joint contour line is obtained by visual comparison in the form of an image to obtain the JCR value of the crack curve. There is obvious randomness. In order to calculate the statistical parameters, the original image needs to be digitized.

[0107] First, the original image is segmented, with each of the 10 curves being separated into 10 separate images. All information except the 2D joint outlines is removed from the images. The original image contains standard 2D joint outlines. In addition to the standard 2D joint outlines, the original image also contains other information, such as background.

[0108] The standard two-dimensional joint contour curve is discretized into micro-segment lines with a spacing of 0.5 mm, forming a total of 200 micro-segment lines and 200 discrete points to form the Barton standard joint curve. The endpoints of the micro-end line segments are measured, and the discrete endpoint coordinates are used to describe the standard two-dimensional joint contour line. The root mean square of the slope and the joint roughness coefficient are calculated. The discrete endpoint coordinates are statistically analyzed to calculate the height fluctuation change of each micro-segment line: Δz = z i+1 -z i It is found that the height fluctuation distribution of each micro-segment curve of rock joints along the shear direction is normally distributed, and its probability density function is:

[0109] Using the MATLAB programming tool, a random number Δz with a fixed spacing and fluctuations based on a normal distribution was generated. This random number ranged from [-a, b], where a and b represent the maximum and minimum values of the height fluctuation of each micro-segment obtained after discretization. This generated random walk polylines with a certain trace length and converted into spline curves as needed. The statistical parameter slope root mean square Z1 was used as a quantitative parameter for the roughness of the two-dimensional joint profile. Because different sampling lengths affect the statistical parameter and the JCR, the spacing between the discretized standard two-dimensional joint profile and the generated random number Δz with a fixed spacing was 0.5 mm. Each standard two-dimensional joint profile does not have a specific JCR value, and the joint protrusion heights generated using a normal distribution have a certain degree of randomness. By adjusting the joint surface elevation z uniformly using the adjustment coefficient K, the statistical parameter slope root mean square Z1 and the corresponding JCR value were adjusted to obtain a specific two-dimensional joint profile that meets the requirements of indoor testing.

[0110] In this embodiment, after generating a specific two-dimensional joint contour line, the method further includes step 3100 - step 3100: selecting non-contact areas on the specific two-dimensional joint contour line, and the number and length of the non-contact areas are determined according to the joint matching coefficient and the joint length.

[0111] Step 3200: increasing the joint contour lines in the non-contact region except for the two end points by a specified height in the Z height direction, so that the joint contour lines in the non-contact region are separated from the joint contour lines at both ends of the non-contact region.

[0112] Step 3300: Connect the joint contour line of the non-contact area after separation with both end points to form the reconstructed other half of the joint contour line.

[0113] Step 3400: Adjust the elevation of the portion corresponding to the non-contact area in the reconstructed other half of the joint contour line according to the adjustment coefficient.

[0114] Step 3500: Prepare a specific jointed rock sample based on the specific two-dimensional joint contour line and the reconstructed other half of the joint contour line.

[0115] The non-contact area is usually selected in the middle of the two-dimensional joint contour line, and the two ends are not selected as the non-contact area. For the preparation of jointed rock samples with joint lengths less than 5 cm, only one non-contact area can be selected.

[0116] After selecting the non-contact region, the joint contour curve of the selected non-contact region, excluding the two end points, is increased in the Z height direction by Δh. This causes the two end points of the non-contact region to break contact. The ups and downs of the two end points are consistent, and the root mean square slope remains unchanged. The two end points of the curve after the Δh increase are connected to the two end points of the non-contact region to form the reconstructed second half of the two-dimensional joint contour line.

[0117] At both end points, the fluctuation trend changes due to the increase of Δh, and the slope root mean square and the corresponding joint roughness coefficient also change. The elevation of the curve after disengagement is uniformly adjusted by adjusting the coefficient K to correct the slope root mean square and the corresponding joint roughness coefficient.

[0118] The other half of the reconstructed curve has an opening KΔh with the original curve in the non-contact area, which can be filled with different joint filling materials.

[0119] The above method is used to generate two-dimensional joint contour lines of different lengths, joint roughness coefficients and joint fit coefficients, and the specific two-dimensional joint contour lines are converted into STL three-dimensional models. The models are imported into a 3D printer to produce rough joint structure samples by layering and stacking. Rock-similar materials are then used to cast rock samples containing specific joints, or the complete original rock is cut by high-precision diamond wire cutting machines, water jet cutting machines and other equipment to obtain rock samples containing specific joints, and then indoor experimental research is carried out.

[0120] This embodiment introduces a device for applying a method for preparing a specific jointed rock sample according to any embodiment of the present invention, comprising:

[0121] A determination module is used to determine target parameters of a rock sample containing specific joints that needs to be prepared according to indoor test requirements, wherein the target parameters include joint length, joint roughness coefficient, and joint conformity coefficient;

[0122] A first calculation module is used to calculate the root mean square of the slope of the two-dimensional joint contour line of the specific joint according to the target parameter;

[0123] A first processing module is used to process the standard two-dimensional joint contour line based on statistical analysis to determine a random walk two-dimensional curve with a rough joint morphology;

[0124] a second calculation module, configured to calculate a root mean square of a slope of the random walk two-dimensional curve according to an undulation of the random walk two-dimensional curve and a root mean square of a slope of a two-dimensional joint contour line of the specific joint;

[0125] A third calculation module is used to calculate an adjustment coefficient according to the root mean square of the slope of the random walk two-dimensional curve and the root mean square of the slope of the two-dimensional joint contour line of the specific joint;

[0126] A generating module, configured to adjust the random walk curve by using the adjustment coefficient to generate a specific two-dimensional joint contour line;

[0127] A preparation module is used to prepare a specific jointed rock sample according to the specific two-dimensional joint contour line.

[0128] Optionally, the first processing module is further configured to:

[0129] Discretize the standard two-dimensional joint contour into multiple micro-segment straight lines with fixed spacing;

[0130] Measure the endpoints of the micro-segment straight line;

[0131] Calculate the height fluctuation of each micro-segment straight line according to the endpoints of the micro-segment straight line;

[0132] Generate random numbers with fixed interval fluctuations based on normal distribution;

[0133] The random number is used to superimpose the height of each micro-segment straight line to generate a random walk two-dimensional curve.

[0134] Optionally, the device further includes a second processing module, wherein the second processing module is configured to:

[0135] Selecting non-contact areas on the specific two-dimensional joint contour line, wherein the number and length of the non-contact areas are determined according to the joint matching coefficient and the joint length;

[0136] Increasing the joint contour lines in the non-contact area except for the two end points by a specified height in the Z height direction, so that the joint contour lines in the non-contact area are separated from the joint contour lines at the two ends of the non-contact area;

[0137] Connecting the joint contour line of the non-contact area after separation with both end points to form the other half of the reconstructed joint contour line;

[0138] adjusting the elevation of a portion corresponding to the non-contact area in the reconstructed other half of the joint contour line according to the adjustment coefficient;

[0139] A specific joint rock sample is prepared according to the specific two-dimensional joint contour line and the reconstructed other half joint contour line.

[0140] Although some specific embodiments of the present invention have been described in detail by way of examples, it should be understood by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the present invention. It should be understood by those skilled in the art that modifications may be made to the above embodiments without departing from the scope and spirit of the present invention. The scope of the present invention is defined by the appended claims.

[0141] Those skilled in the art will appreciate that the modules and algorithm steps described in conjunction with the embodiments disclosed herein can be implemented using electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.

[0142] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described devices and equipment can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0143] In the embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the modules is merely a logical function division. In actual implementation, there may be other division methods, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or modules, which can be electrical, mechanical or other forms.

[0144] The modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed across multiple network modules. Some or all of these modules may be selected according to actual needs to achieve the objectives of the embodiments of the present invention.

[0145] In addition, each functional module in the embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0146] If the functions are implemented in the form of software modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or the portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of various embodiments of the present invention. The aforementioned storage medium includes various media that can store program code, such as USB flash drives, mobile hard drives, ROM, RAM, magnetic disks, or optical disks.

[0147] The above description is merely a preferred embodiment of the present application and an illustration of the technical principles employed. Those skilled in the art should understand that the scope of the invention herein is not limited to the technical solutions formed by the specific combination of the above-mentioned technical features, but also encompasses other technical solutions formed by any combination of the above-mentioned technical features or their equivalents without departing from the inventive concept. For example, a technical solution formed by replacing the above-mentioned features with (but not limited to) technical features having similar functions disclosed in this application.

[0148] It should be understood that the size of the serial numbers of the steps in the content of the invention and the embodiments of the present invention does not absolutely mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention. The foregoing description of the implementation of the present disclosure has been given for the purpose of example and description. The foregoing description is not exhaustive and is not intended to limit the present disclosure to the exact form disclosed. Various variations and modifications may exist based on the above teachings, or various variations and modifications may be obtained from the practice of the present disclosure. These embodiments are selected and described in order to illustrate the principles of the present disclosure and its practical application, so that those skilled in the art can utilize the present disclosure in various embodiments and various modifications suitable for the specific purpose conceived.

Claims

1. A method for preparing a specific jointed rock sample, characterized in that: include: Determine target parameters of rock samples containing specific joints to be prepared according to indoor test requirements, including joint length, joint roughness coefficient, and joint conformity coefficient; Calculating the root mean square of the slope of the two-dimensional joint contour line of the specific joint according to the target parameter; Based on statistical analysis, the standard two-dimensional joint contour line is processed to determine a random walk two-dimensional curve with rough joint morphology; Calculating the root mean square of the slope of the random walk two-dimensional curve according to the fluctuation of the random walk two-dimensional curve and the root mean square of the slope of the two-dimensional joint contour line of the specific joint; Calculating an adjustment coefficient according to the root mean square of the slope of the random walk two-dimensional curve and the root mean square of the slope of the two-dimensional joint contour line of the specific joint; The random walk curve is adjusted by the adjustment coefficient to generate a specific two-dimensional joint contour line; A specific jointed rock sample is prepared according to the specific two-dimensional joint contour line.

2. The method according to claim 1, characterized in that Calculating the root mean square of the slope of the two-dimensional joint contour line of the specific joint according to the target parameter includes: The root mean square slope of the two-dimensional joint contour line of a specific joint is calculated according to the following formula: JCR0=32.2+32.47logZ0; Among them, JCR F It represents the joint roughness coefficient of the rock sample with specific joints that needs to be prepared according to the requirements of the indoor test, L F represents the joint length of the rock specimen with specific joints that needs to be prepared according to the requirements of the indoor test, JCR0 represents the roughness coefficient of the joint under the laboratory size, L0 represents the laboratory joint length, and Z0 represents the root mean square of the slope of the two-dimensional joint contour line of the specific joint.

3. The method according to claim 2, characterized in that Calculating the root mean square of the slope of the random walk two-dimensional curve according to the fluctuation of the random walk two-dimensional curve and the root mean square of the slope of the two-dimensional joint contour line of the specific joint includes: The fluctuation of the random walk two-dimensional curve is quantified using the following discrete root mean square equation: Wherein, N represents the number of discrete points of the random walk two-dimensional curve, x i+1 -x i Indicates the measurement step length, z i+1 represents the Z-axis coordinate of the i+1th joint discrete point, z i represents the Z-axis coordinate of the i-th joint discrete point, and Z1 represents the root mean square of the slope of the random walk two-dimensional curve.

4. The method according to claim 3, characterized in that The calculating of the adjustment coefficient according to the root mean square of the slope of the random walk two-dimensional curve and the root mean square of the slope of the two-dimensional joint contour line of the specific joint comprises: The adjustment coefficient calculation formula is as follows: Among them, Z0 represents the root mean square of the slope of the two-dimensional joint contour line of a specific joint, Z1 represents the root mean square of the slope of the random walk two-dimensional curve, and K represents the adjustment coefficient.

5. The method according to claim 4, characterized in that The adjusting the random walk curve by using the adjustment coefficient includes: The fluctuation of the random walk two-dimensional curve is described by the structure function, and the structure function S(x) is expressed as: S(x)=<(Y(X+x)-Y(x)) 2 >; Where Y represents the vertical coordinate, X represents the horizontal coordinate, and x represents the measurement distance; The joint surface elevation of the random walk two-dimensional curve is adjusted according to the structural function and the adjustment coefficient, and the formula is as follows: Z = KS(x); Where Z represents the joint surface elevation and K represents the adjustment coefficient.

6. The method according to claim 1, characterized in that The generation process of the random walk two-dimensional curve includes: Discretize the standard two-dimensional joint contour into multiple micro-segment straight lines with fixed spacing; Measure the endpoints of the micro-segment straight line; Calculate the height fluctuation of each micro-segment straight line according to the endpoints of the micro-segment straight line; Generate random numbers with fixed interval fluctuations based on normal distribution; The random number is used to superimpose the height of each micro-segment straight line to generate a random walk two-dimensional curve.

7. The method according to claim 5, characterized in that After generating the specific two-dimensional joint contour line, the method further includes: Selecting non-contact areas on the specific two-dimensional joint contour line, wherein the number and length of the non-contact areas are determined according to the joint matching coefficient and the joint length; Increasing the joint contour lines in the non-contact area except for the two end points by a specified height in the Z height direction, so that the joint contour lines in the non-contact area are separated from the joint contour lines at the two ends of the non-contact area; Connecting the joint contour line of the non-contact area after separation with both end points to form the other half of the reconstructed joint contour line; adjusting the elevation of a portion corresponding to the non-contact area in the reconstructed other half of the joint contour line according to the adjustment coefficient; A specific joint rock sample is prepared according to the specific two-dimensional joint contour line and the reconstructed other half joint contour line.

8. A device for applying the method for preparing a specific jointed rock sample according to any one of claims 1 to 7, characterized in that: include: A determination module is used to determine target parameters of a rock sample containing specific joints that needs to be prepared according to indoor test requirements, wherein the target parameters include joint length, joint roughness coefficient, and joint conformity coefficient; A first calculation module is used to calculate the root mean square of the slope of the two-dimensional joint contour line of the specific joint according to the target parameter; A first processing module is used to process the standard two-dimensional joint contour line based on statistical analysis to determine a random walk two-dimensional curve with a rough joint morphology; a second calculation module, configured to calculate a root mean square of a slope of the random walk two-dimensional curve according to an undulation of the random walk two-dimensional curve and a root mean square of a slope of a two-dimensional joint contour line of the specific joint; A third calculation module is used to calculate an adjustment coefficient according to the root mean square of the slope of the random walk two-dimensional curve and the root mean square of the slope of the two-dimensional joint contour line of the specific joint; A generating module, configured to adjust the random walk curve by using the adjustment coefficient to generate a specific two-dimensional joint contour line; A preparation module is used to prepare a specific jointed rock sample according to the specific two-dimensional joint contour line.

9. The device according to claim 8, characterized in that The first processing module is further configured to: Discretize the standard two-dimensional joint contour into multiple micro-segment straight lines with fixed spacing; Measure the endpoints of the micro-segment straight line; Calculate the height fluctuation of each micro-segment straight line according to the endpoints of the micro-segment straight line; Generate random numbers with fixed interval fluctuations based on normal distribution; The random number is used to superimpose the height of each micro-segment straight line to generate a random walk two-dimensional curve.

10. The device according to claim 8, characterized in that The device further includes a second processing module, wherein the second processing module is configured to: Selecting non-contact areas on the specific two-dimensional joint contour line, wherein the number and length of the non-contact areas are determined according to the joint matching coefficient and the joint length; Increasing the joint contour lines in the non-contact area except for the two end points by a specified height in the Z height direction, so that the joint contour lines in the non-contact area are separated from the joint contour lines at the two ends of the non-contact area; Connecting the joint contour line of the non-contact area after separation with both end points to form the other half of the reconstructed joint contour line; adjusting the elevation of a portion corresponding to the non-contact area in the reconstructed other half of the joint contour line according to the adjustment coefficient; A specific joint rock sample is prepared according to the specific two-dimensional joint contour line and the reconstructed other half joint contour line.

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