Shear strength calculation method of dissimilar structural plane, terminal and storage medium

Abstract

The application provides a method for calculating the shear strength of a structure surface with different properties, a terminal and a storage medium. The method comprises the following steps: obtaining a first uniaxial compressive strength of a wall surface with lower strength on one side of a structure surface to be measured and a second uniaxial compressive strength of a wall surface with higher strength on the other side of the structure surface to be measured, and obtaining three-dimensional point cloud data of the structure surface to be measured; constructing a grid model consistent with the topography height of the structure surface to be measured according to the three-dimensional point cloud data, and extracting profile lines on the grid model along the shear direction of the structure surface to be measured; calculating a structure surface roughness coefficient of the structure surface to be measured according to the endpoint coordinate information of each line segment after the discretization of each profile line; calculating a structure surface combined wall surface strength of the structure surface to be measured according to the first uniaxial compressive strength and the second uniaxial compressive strength; and calculating the shear strength of the structure surface to be measured according to the structure surface roughness coefficient and the structure surface combined wall surface strength. The application can more accurately calculate the shear strength of a structure surface with different properties.

Description

Technical Field

[0001] This invention relates to the field of rock mass structural surface analysis technology, and in particular to a method, terminal and storage medium for calculating the shear strength of anisotropic structural surfaces. Background Technology

[0002] The instability and failure of common buildings are often attributed to the slippage or separation of the surrounding rock mass along the structural plane. Therefore, the weakest surface of the rock mass is usually the structural plane. However, in actual engineering, rock mass failure is mostly shear failure. Therefore, studying the shear strength of the structural plane is crucial for assessing the stability of the rock mass.

[0003] However, engineering rock masses generally have complex origins, and the morphology and structural composition of their natural structural planes exhibit a certain degree of randomness. Rock masses often contain anisotropic structural planes with varying strengths on their two side rock walls, and some engineering sites even consist of complex strata with alternating layers of soft and hard rock. Therefore, accurately calculating the shear strength of anisotropic structural planes is beneficial for the stability assessment of actual engineering rock masses. Summary of the Invention

[0004] This invention provides a method, terminal, and storage medium for calculating the shear strength of irregular structural surfaces, in order to solve the problem that the current calculation of shear strength for irregular structural surfaces is not accurate enough.

[0005] In a first aspect, embodiments of the present invention provide a method for calculating the shear strength of anisotropic structural surfaces, including:

[0006] The first uniaxial compressive strength of the side with lower wall strength and the second uniaxial compressive strength of the side with higher wall strength are obtained on both sides of the structure to be tested, and the three-dimensional point cloud data of the structure to be tested are obtained.

[0007] A mesh model with a shape highly consistent with the topography of the structure surface to be measured is constructed based on the three-dimensional point cloud data, and profile lines are extracted at equal intervals along the shear direction of the structure surface to be measured on the mesh model.

[0008] Based on the endpoint coordinates of each line segment after discretization of each profile line, the surface roughness coefficient of the structure surface to be measured is calculated.

[0009] Calculate the combined wall strength of the structural surface of the structure to be tested based on the first uniaxial compressive strength and the second uniaxial compressive strength;

[0010] The shear strength of the structural surface to be tested is calculated based on the surface roughness coefficient of the structural surface and the combined wall strength of the structural surface.

[0011] In one possible implementation, calculating the combined wall strength of the structural surface of the structure to be tested based on the first uniaxial compressive strength and the second uniaxial compressive strength includes:

[0012] Calculate the ratio of the uniaxial compressive strengths on both sides of the structure surface to be tested based on the first uniaxial compressive strength and the second uniaxial compressive strength;

[0013] The structural surface combined wall strength of the structural surface to be tested is calculated based on the ratio of the first uniaxial compressive strength to the uniaxial compressive strength of both sides.

[0014] In one possible implementation, calculating the combined wall strength of the structural surface to be tested based on the ratio of the first uniaxial compressive strength to the uniaxial compressive strengths on both sides includes:

[0015] according to Calculate the combined wall strength of the structural surfaces to be tested;

[0016] Where CJCS represents the combined wall strength of the structural surface to be tested, and JCS represents the structural surface strength. 低 Let λ be the first uniaxial compressive strength, a be the first fitting coefficient, b be the second fitting coefficient, a and b are obtained by multivariate nonlinear fitting, and λ be the ratio of the uniaxial compressive strengths on both sides.

[0017] In one possible implementation, calculating the shear strength of the structural surface under test based on the surface roughness coefficient of the structural surface and the combined wall strength of the structural surface includes:

[0018] according to Calculate the shear strength of the structural surface to be tested;

[0019] Where, τ p σ represents the shear strength of the structural surface to be tested. n The normal stress acting on the surface of the structure under test. The basic friction angle of the structure to be tested is denoted as JRC, the surface roughness coefficient of the structure is denoted as CJCS, and the combined wall strength of the structure is denoted as CJCS.

[0020] In one possible implementation, calculating the surface roughness coefficient of the structure surface to be measured based on the endpoint coordinate information of each line segment after discretization of each profile line includes:

[0021] Based on the endpoint coordinates of each segment of each profile line, the weighted average gradient and cumulative relative fluctuation amplitude corresponding to each profile line are calculated. The weighted average gradient represents the friction effect of the structure surface under test, and the cumulative relative fluctuation amplitude represents the shear climbing effect of the structure surface under test.

[0022] Calculate the initial surface roughness coefficient of the structure surface to be tested based on each of the weighted average gradients and each of the cumulative relative fluctuation amplitudes.

[0023] Based on the endpoint coordinates of each segment of each profile line, determine whether each segment of each profile line is an uphill segment or a non-uphill segment;

[0024] Based on the approximate length of each climbing segment in all line segments corresponding to each profile line and the approximate total length of all line segments corresponding to each profile line, calculate the shear climbing rate corresponding to the structure surface to be measured.

[0025] Calculate the section curvature coefficient corresponding to the structure surface under test based on the approximate length of each line segment corresponding to each section line and the actual length of each line segment corresponding to each section line.

[0026] The surface roughness coefficient of the initial structural surface is obtained by correcting the shear ramp rate and the profile curvature coefficient.

[0027] In one possible implementation, calculating the shear ramp rate corresponding to the structural surface under test based on the approximate lengths of each ramp segment among all line segments corresponding to each profile line and the approximate total length of all line segments corresponding to each profile line includes:

[0028] according to Calculate the shear ramp rate corresponding to the structural surface to be tested;

[0029] Where SCR is the shear ramp rate corresponding to the structure surface under test, N is the number of profile lines, and L is the number of lines taken. p L is the approximate total length of all line segments corresponding to each profile line. j+ Let L be the approximate length of the j-th climbing segment among all line segments corresponding to each profile line, where j = 1, 2, ..., m, and m is the total number of climbing segments among all line segments corresponding to each profile line. k- Let w be the approximate length of the k-th non-climbing segment among all line segments corresponding to each profile line, where k = 1, 2, ..., w, and w is the total number of non-climbing segments among all line segments corresponding to each profile line.

[0030] In one possible implementation, calculating the section curvature coefficient corresponding to the structure surface under test based on the approximate length of each line segment corresponding to each section line and the actual length of each line segment corresponding to each section line includes:

[0031] according to Calculate the curvature coefficient of the section corresponding to the surface of the structure to be measured;

[0032] Where CCP is the curvature coefficient of the section corresponding to the structure surface under test, N is the number of sections, m is the total number of climbing sections among all segments corresponding to each section line, w is the total number of non-climbing sections among all segments corresponding to each section line, and L j+ L is the approximate length of the j-th climbing segment among all line segments corresponding to each profile line. tj+Let L be the actual length of the j-th climbing segment among all line segments corresponding to each profile line, where j = 1, 2, ..., m, L k- L is the approximate length of the k-th non-climbing segment among all line segments corresponding to each profile line. tk- Let w be the actual length of the k-th non-climbing segment among all the line segments corresponding to each profile line, where k = 1, 2, ... w.

[0033] In one possible implementation, the step of correcting the initial structural surface surface roughness coefficient based on the shear ramp rate and the profile curvature coefficient to obtain the structural surface surface roughness coefficient corresponding to the structural surface to be tested includes:

[0034] according to Obtain the surface roughness coefficient of the structural surface corresponding to the structural surface to be tested;

[0035] Where JRC is the surface roughness coefficient of the structure surface to be measured, and α is the correction coefficient. 初始 denoted as the surface roughness coefficient of the initial structural surface, SCR as the shear ramp rate, CCP as the profile curvature coefficient, c as the third fitting coefficient, d as the fourth fitting coefficient, and e as the fifth fitting coefficient. c, d, and e are obtained through multivariate nonlinear fitting.

[0036] In a second aspect, embodiments of the present invention provide a terminal, including a memory and a processor, wherein the memory is used to store a computer program, and the processor is used to call and run the computer program stored in the memory to perform the steps of the method described in the first aspect or any possible implementation thereof.

[0037] Thirdly, embodiments of the present invention provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the method as described in the first aspect or any possible implementation thereof.

[0038] This invention provides a method, terminal, and storage medium for calculating the shear strength of anisotropic structural surfaces. The method involves first acquiring the first uniaxial compressive strength of the side with lower wall strength and the second uniaxial compressive strength of the side with higher wall strength on both sides of the structural surface to be tested, and then acquiring three-dimensional point cloud data of the structural surface. Next, a mesh model with a shape highly consistent with the structural surface is constructed based on the three-dimensional point cloud data, and equidistant profile lines are extracted from the mesh model perpendicular to the shear direction of the structural surface. Then, based on the endpoint coordinates of each line segment after discretization of each profile line, the surface roughness coefficient of the structural surface to be tested is calculated. Finally, based on the first and second uniaxial compressive strengths, the combined wall strength of the structural surface is calculated. Thus, the shear strength of the structural surface to be tested is calculated based on the surface roughness coefficient and the combined wall strength. Furthermore, this method provides a shear strength calculation method for anisotropic rock structures in complex strata to facilitate rock stability analysis. This method combines optical information acquisition technology, computer science, finite difference numerical calculation, and geotechnical testing. It is simple to operate and can transform empirical judgments into quantitative calculations, thereby accurately analyzing the shear strength of anisotropic rock structures. It avoids the drawbacks of subjectivity and experience and has important significance in engineering practice. Attached Figure Description

[0039] To more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0040] Figure 1 This is a flowchart illustrating the implementation of the method for calculating the shear strength of heterogeneous structural surfaces provided in this embodiment of the invention.

[0041] Figure 2 This is a core sampling diagram provided in an embodiment of the present invention;

[0042] Figure 3 This is a schematic diagram of scanning the surface of the structure to be measured using a 3D scanner, provided in an embodiment of the present invention.

[0043] Figure 4 This is a height information map of the mesh model corresponding to the structure surface to be tested, provided in an embodiment of the present invention.

[0044] Figure 5 This is a schematic diagram of extracting profile lines at equal intervals along the shear direction on a mesh model, provided by an embodiment of the present invention.

[0045] Figure 6 This is a schematic diagram of the endpoint coordinates of a line segment after discretization of the profile line provided in an embodiment of the present invention.

[0046] Figure 7 This is a discretized schematic diagram of a certain cross-sectional line provided in an embodiment of the present invention;

[0047] Figure 8 This is a schematic diagram illustrating the trimming of the mesh model of the structure surface to be tested, provided in an embodiment of the present invention.

[0048] Figure 9 This is a schematic diagram of the structure of the anisotropic structural surface shear strength calculation device provided in an embodiment of the present invention;

[0049] Figure 10 This is a schematic diagram of the terminal provided in an embodiment of the present invention. Detailed Implementation

[0050] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of the invention. However, those skilled in the art will understand that the invention can be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods are omitted so as not to obscure the description of the invention with unnecessary detail.

[0051] To make the objectives, technical solutions, and advantages of the present invention clearer, specific embodiments will be described below in conjunction with the accompanying drawings.

[0052] See Figure 1 The flowchart illustrating the implementation of the method for calculating the shear strength of heterogeneous structural surfaces provided in this embodiment of the invention is described in detail below:

[0053] In step 101, the first uniaxial compressive strength of the side with lower wall strength and the second uniaxial compressive strength of the side with higher wall strength are obtained on both sides of the structure to be tested, and the three-dimensional point cloud data of the structure to be tested is obtained.

[0054] The structural surface to be tested can be a rock structural surface in a certain study area of ​​the stratum to be tested. Since the structural surface to be tested is an anisotropic structural surface with different strengths on both sides of the rock wall, after determining the structural surface to be tested, the size of the structural surface can be determined and samples can be taken for conventional geotechnical tests to obtain the first uniaxial compressive strength on the side with lower wall strength and the second uniaxial compressive strength on the side with higher wall strength.

[0055] For example, sampling can be performed using a core drilling rig, and the sample can be, for example, Figure 2 The cylinder shown has a diameter of 5cm and a height of 10cm.

[0056] Conventional geotechnical tests performed on the specimens may include uniaxial compressive strength tests to obtain the first uniaxial compressive strength on the side with lower wall strength and the second uniaxial compressive strength on the side with higher wall strength on both sides of the tested structural surface. For example, a rebound hammer can be used to perform the uniaxial compressive strength test.

[0057] In addition, to facilitate subsequent calculations of shear strength, conventional geotechnical tests on the specimens may also include density tests and straight-structure direct shear tests. The density test yields the gravimetric density of the soil layer on the surface of the structure under test, while the straight-structure direct shear test allows for the calculation of the fundamental friction angle of the surface of the structure under test.

[0058] Then, a 3D scanner, for example, can be used. Figure 3 The structured light scanner shown scans the surface of the structure under test and acquires a 3D point cloud data file containing the geometric topography information of the surface of the structure under test.

[0059] In step 102, a mesh model with a shape highly consistent with the surface of the structure to be measured is constructed based on the three-dimensional point cloud data, and profile lines are extracted at equal intervals along the shear direction of the surface of the structure to be measured on the mesh model.

[0060] In step 103, the surface roughness coefficient of the structure surface to be measured is calculated based on the endpoint coordinate information of each line segment after discretization of each profile line.

[0061] Based on the 3D point cloud data obtained in step 101, in order to quantitatively calculate the surface roughness coefficient of the structure surface to be measured, the 3D point cloud data can be imported into reverse engineering software such as Rhino to construct a structure surface mesh (i.e., a mesh model that is highly consistent with the morphology of the structure surface to be measured). Then, profile lines can be extracted at equal intervals on the mesh model according to the shear direction of the structure surface to be measured.

[0062] For example, the height information diagram of the mesh model corresponding to the structure surface to be tested is as follows: Figure 4 As shown, profile lines are extracted at equal intervals along the shear direction of the structure to be measured on the mesh model, i.e., the structure to be measured is cut along the x-axis. The resulting profile lines are as follows: Figure 5 As shown.

[0063] To simplify calculations and facilitate practical applications, the number of profile lines can be more than 10, for example... Figure 5 There are 11 cross-sectional lines.

[0064] Then, each profile line can be discretized to obtain the endpoint coordinate information of each line segment on each discretized profile line, so as to quantitatively calculate the surface roughness coefficient of the structure surface to be measured based on the endpoint coordinate information.

[0065] When discretizing each profile line, it is also possible to discretize them at equal intervals. However, to make the surface roughness coefficient of the structure more closely approximate its true value in subsequent calculations, the profile lines are generally divided into at least 120 segments at equal intervals. For example, each profile line can be divided into 140 segments at equal intervals.

[0066] like Figure 6 As shown, the endpoint coordinate information of each line segment on each profile line is the x-coordinate information and z-coordinate information of the endpoint of each line segment. The x-coordinate information represents the position information of the endpoint of the line segment in the shearing direction, and the z-coordinate information represents the height information of the endpoint of the line segment.

[0067] When constructing the structural surface mesh, the maximum length of the mesh line should be less than the length of a single line segment after discretization, and the smaller the mesh line length, the higher the accuracy of the subsequent calculation of the surface roughness coefficient of the structural surface.

[0068] Optionally, based on the endpoint coordinates of each line segment after discretization of each profile line, the surface roughness coefficient of the structure surface to be measured can be calculated, which may include:

[0069] Based on the endpoint coordinates of each segment of each profile line, the weighted average gradient and cumulative relative fluctuation amplitude corresponding to each profile line are calculated. The weighted average gradient characterizes the friction effect of the structure surface under test, and the cumulative relative fluctuation amplitude characterizes the shear climbing effect of the structure surface under test.

[0070] The surface roughness coefficient of the initial structural surface corresponding to the structure to be measured is calculated based on each weighted average gradient and each cumulative relative fluctuation amplitude.

[0071] Based on the endpoint coordinates of each segment of each profile line, determine whether each segment of each profile line is an uphill segment or a non-uphill segment.

[0072] Based on the approximate length of each climbing segment in all line segments corresponding to each profile line and the approximate total length of all line segments corresponding to each profile line, calculate the shear climbing rate corresponding to the structural surface to be measured.

[0073] The curvature coefficient of the section corresponding to the structure to be measured is calculated based on the approximate length of each line segment corresponding to each section line and the actual length of each line segment corresponding to each section line.

[0074] The surface roughness coefficient of the initial structural surface is obtained by correcting the shear ramp rate and the profile curvature coefficient.

[0075] In this embodiment, to make the calculated surface roughness coefficient of the structural surface closer to the true value, parameters that characterize the mechanical characteristics of the structural surface shear are introduced, namely the weighted average gradient and the cumulative relative fluctuation amplitude. The weighted average gradient characterizes the friction effect of the structural surface under test, and the cumulative relative fluctuation amplitude characterizes the shear ramp-up effect of the structural surface under test.

[0076] Specifically, for each profile line, its corresponding weighted average gradient (WAG) and cumulative relative undulation amplitude (CRRA) can be calculated using the following formulas:

[0077]

[0078] Among them, z i+1 -z i x represents the height difference between the coordinates of two adjacent endpoints. i+1 -x i is the positional information difference between the coordinates of two adjacent endpoints (that is, the discretization spacing corresponding to the equal spacing of the profile lines), n is the total number of endpoints of all line segments obtained after discretizing each profile line, and L is the projection length of each profile line in the shearing direction.

[0079] After calculating the weighted average gradient (WAG) and cumulative relative fluctuation amplitude (CRRA) for each profile line, the average value of the weighted average gradient (WAG) for each profile line is calculated to obtain the WAG. 均 The CRRA is obtained by calculating the average value of the cumulative relative undulation amplitude (CRRA) corresponding to each profile line. 均 And then according to Calculate the surface roughness coefficient of the initial structural surface corresponding to the structure to be measured. Here, p1, p2, and p3 are empirical coefficients, which can be determined through fitting. Furthermore, p1, p2, and p3 are also related to the number of line segments obtained after discretizing the profile. For example, the empirical coefficients corresponding to 140 line segments discretized from the profile are shown in Table 1:

[0080] Table 1 shows the empirical coefficients corresponding to a line segment count of 140.

[0081]

[0082] Based on this, in order to make the calculated surface roughness coefficient of the structural surface more accurate, the influence of the morphological characteristics and contact conditions of the structural surface on the surface roughness coefficient is further considered.

[0083] One aspect is that, from a macroscopic perspective, the overall structure has climbing and non-climbing sections. Since the non-climbing sections of the continuous structure are non-contact areas during shearing, their contribution to shear strength is negligible. Therefore, based on the approximate length of each climbing section in all segments corresponding to each profile line and the approximate total length of all segments corresponding to each profile line, the shear climbing rate corresponding to the structure under test is calculated to measure the contribution of the climbing sections of the structure.

[0084] On the other hand, considering that the straight and smooth line segments after discretization of the profile lines are different from the real profile lines, and there is a certain morphological difference between the two, the curvature of the structural surface is quantitatively characterized in the two-dimensional space formed by the shear direction and the height direction corresponding to the profile lines. That is, based on the approximate total length of all line segments corresponding to each profile line and the actual total length of all line segments corresponding to each profile line, the profile curvature coefficient corresponding to the structural surface to be measured is calculated. Then, based on the shear ramp rate and the profile curvature coefficient, the initial structural surface roughness coefficient is corrected to obtain a more accurate structural surface roughness coefficient corresponding to the structural surface to be measured.

[0085] Optional, combined Figure 7 As shown, the shear gradient of the structure to be measured is calculated based on the approximate lengths of each climbing segment in all line segments corresponding to each profile line and the approximate total length of all line segments corresponding to each profile line. This can include:

[0086] according to Calculate the shear ramp rate corresponding to the structural surface to be tested.

[0087] Where SCR is the shear ramp rate corresponding to the structure surface under test, N is the number of profile lines, and L is the number of lines taken. p L is the approximate total length of all line segments corresponding to each profile line. j+ Let L be the approximate length of the j-th climbing segment among all line segments corresponding to each profile line, where j = 1, 2, ..., m, and m is the total number of climbing segments among all line segments corresponding to each profile line. k- Let w be the approximate length of the k-th non-climbing segment among all line segments corresponding to each profile line, where k = 1, 2, ..., w, and w is the total number of non-climbing segments among all line segments corresponding to each profile line.

[0088] Similarly, based on the approximate lengths of the line segments corresponding to each profile line and the actual lengths of the line segments corresponding to each profile line, the section curvature coefficients corresponding to the structure surface under test can be calculated, which may include:

[0089] according to Calculate the curvature coefficient of the section corresponding to the surface of the structure to be measured.

[0090] Where CCP is the curvature coefficient of the section corresponding to the structure surface under test, N is the number of sections, m is the total number of climbing sections among all segments corresponding to each section line, w is the total number of non-climbing sections among all segments corresponding to each section line, and L j+ L is the approximate length of the j-th climbing segment among all line segments corresponding to each profile line. tj+ Let L be the actual length of the j-th climbing segment among all line segments corresponding to each profile line, where j = 1, 2, ..., m, L k- L is the approximate length of the k-th non-climbing segment among all line segments corresponding to each profile line. tk- Let w be the actual length of the k-th non-climbing segment among all the line segments corresponding to each profile line, where k = 1, 2, ... w.

[0091] It should be noted that the above embodiment is only an example of calculating the shear ramp rate and section curvature coefficient corresponding to the structure surface to be tested. Depending on the actual needs, a corresponding shear ramp rate and section curvature coefficient can be calculated for each section line first, and then the shear ramp rate and section curvature coefficient corresponding to each section line can be averaged to obtain the shear ramp rate and section curvature coefficient corresponding to the structure surface to be tested. This embodiment does not limit this.

[0092] Furthermore, when determining whether each segment of each profile line is an uphill or non-uphill segment, this can be done based on the height information in the endpoint coordinates of each segment. Specifically, if z i+1 ≥z i This indicates that the line segment between endpoint i and endpoint i+1 is an uphill segment. If z i+1 <z i If the line segment between endpoint i and endpoint i+1 is a non-climbing segment, then it means that the line segment between endpoint i and endpoint i+1 is a non-climbing segment.

[0093] Optionally, the surface roughness coefficient of the initial structural surface is corrected based on the shear ramp rate and the profile curvature coefficient to obtain the surface roughness coefficient of the structural surface to be measured. This may include:

[0094] according to The surface roughness coefficient of the structure surface to be tested is obtained.

[0095] Where JRC is the surface roughness coefficient of the structure surface to be measured, and α is the correction coefficient. 初始 denoted as the initial surface roughness coefficient, SCR as the shear ramp rate, CCP as the profile curvature coefficient, c as the third fitting coefficient, d as the fourth fitting coefficient, and e as the fifth fitting coefficient. c, d, and e are obtained through multivariate nonlinear fitting.

[0096] For example, c can be 1.33627±0.06527, d can be -1.44066±0.18493, and e can be 2.18654±0.18819.

[0097] In step 104, the combined wall strength of the structural surface to be tested is calculated based on the first uniaxial compressive strength and the second uniaxial compressive strength.

[0098] In this embodiment, considering that existing shear strength calculation methods have subjective and empirical errors when the structure to be tested is an irregular structure, the first uniaxial compressive strength of the side with lower wall strength and the second uniaxial compressive strength of the side with higher wall strength are obtained by combining the characteristics of different wall strengths on both sides of the irregular structure. Then, based on the first uniaxial compressive strength and the second uniaxial compressive strength, the combined wall strength of the structure is calculated, so as to make the subsequent calculation of shear strength more accurate by avoiding strength loss based on the combination of structure surfaces.

[0099] Optionally, calculating the combined wall strength of the structural surface of the test surface based on the first uniaxial compressive strength and the second uniaxial compressive strength may include: calculating the ratio of the uniaxial compressive strengths on both sides of the test surface based on the first uniaxial compressive strength and the second uniaxial compressive strength; and calculating the combined wall strength of the structural surface of the test surface based on the ratio of the first uniaxial compressive strength and the uniaxial compressive strengths on both sides.

[0100] In this embodiment, the shear strength of the specimen can be obtained by conducting a straight shear test on the specimen. The uniaxial compressive strength of the specimen can then be calculated using Barton's empirical formula. Since the tested structural surface is anisotropic, the calculated uniaxial compressive strength of the specimen is equivalent to the combined wall strength of the structural surface. Then, based on the calculated combined wall strength and the first and second uniaxial compressive strengths obtained from the uniaxial compressive test, the ratio of the combined wall strength to the uniaxial compressive strengths on both sides and its correlation with the first uniaxial compressive strength can be determined.

[0101] Among them, the ratio of uniaxial compressive strength on both sides Among them, JCS 低 For the first uniaxial compressive strength, JCS 高 This is the second uniaxial compressive strength.

[0102] Optionally, the structural surface composite wall strength of the structural surface to be tested can be calculated based on the ratio of the first uniaxial compressive strength to the uniaxial compressive strengths on both sides. This may include:

[0103] according to Calculate the combined wall strength of the structural surfaces to be tested.

[0104] Where CJCS represents the combined wall strength of the structural surface to be tested, and JCS represents the structural surface strength.低 Let λ be the first uniaxial compressive strength, a be the first fitting coefficient, b be the second fitting coefficient, a and b be obtained through multivariate nonlinear fitting, and λ be the ratio of the uniaxial compressive strengths on both sides.

[0105] In this embodiment, after obtaining the structural surface composite wall strength, the first uniaxial compressive strength, and the second uniaxial compressive strength of the sample, the relationship between the structural surface composite wall strength and the first and second uniaxial compressive strengths can be determined as follows: Through multivariate nonlinear fitting, it was determined that when a = 0.62361 and b = -1.10176, the correlation (characterized by variance) between the fitted result and the actual result was 0.84432, close to 1, indicating a good fit. Therefore, the first fitting coefficient a was determined to be 0.62361, and the second fitting coefficient b was determined to be -1.10176.

[0106] It should be noted that, in order to improve the fitting results and make the subsequent calculation results more accurate, multivariate nonlinear fitting can be performed to determine more precise values ​​of the first fitting coefficient a and the second fitting coefficient b.

[0107] In step 105, the shear strength of the structural surface to be tested is calculated based on the surface roughness coefficient of the structural surface and the combined wall strength of the structural surface.

[0108] In this embodiment, based on the surface roughness coefficient and combined wall strength of the structural surface determined in the above steps, and combined with Barton's empirical formula, the shear strength of the structural surface under test, i.e., the peak shear strength of the structural surface under test, can be calculated more accurately. This provides a method for calculating the peak shear strength of anisotropic structural surfaces in complex bedrock to facilitate stability analysis. This method combines optical information acquisition technology, computer science, finite difference numerical calculation, and geotechnical testing. It is simple to operate and can transform empirical judgments into quantitative calculations, thereby accurately analyzing the shear strength of anisotropic structural surfaces. It avoids the drawbacks of subjectivity and experience and has important significance in engineering practice. For example, the peak shear strength of the bedrock of a slope can be calculated to determine the safe stress range so as to apply protective measures to the slope.

[0109] Optionally, calculating the shear strength of the structural surface under test based on the surface roughness coefficient and the combined wall strength of the structural surface may include:

[0110] according to Calculate the shear strength of the structural surface to be tested.

[0111] Where, τ p σ represents the shear strength of the structural surface to be tested. n The normal stress acting on the surface of the structure under test. θ is the basic friction angle of the structure to be measured, JRC is the surface roughness coefficient of the structure, and CJCS is the combined wall strength of the structure.

[0112] This embodiment improves Barton's empirical formula based on the structural surface composite wall strength CJCS. In the improved formula, the basic friction angle of the structural surface under test is... This can be determined through the above-mentioned straight shear test on a flat structure. In addition, the normal stress σ acting on the surface of the structure under test is also required. n Among them, the upper soil pressure on the surface of the structure to be tested can be calculated according to the working conditions to obtain the normal stress acting on the surface of the structure to be tested.

[0113] Specifically, the earth pressure on the surface of the structure to be measured is calculated to obtain the normal stress acting on the surface of the structure, as expressed below:

[0114]

[0115] In the formula, γ is the weight density of the soil, which can be obtained through the density test described above; H is the thickness of the soil mass; F is the external load on the upper part of the soil layer; P is the vertical pressure of the soil acting on the surface of the structure to be measured; S is the area of ​​the surface of the structure to be measured; and σ is the area of ​​the structure to be measured. n This represents the normal stress acting on the structural surface.

[0116] By substituting the normal stress acting on the structural surface, the basic friction angle of the structural surface under test, the surface roughness coefficient of the structural surface, and the combined wall strength of the structural surface into the improved formula, the peak shear strength of the structural surface under test can be calculated.

[0117] The following specific examples further illustrate the method for calculating the shear strength of heterogeneous structural surfaces provided in this invention:

[0118] (1) First, a special stratum rock joint in a certain region was selected for field investigation. Cement mortar shear test blocks with similar rock properties were poured with appropriate mix proportions, and samples were retained for uniaxial compressive strength test and density test to obtain basic mechanical parameters (see Table 2). The shear strength analysis of the heterogeneous structural surface was carried out by the code combination LL, LM, LH, MM, MH, HH, where L represents soft rock, M represents relatively soft rock, and H represents relatively hard rock. The basic friction angle of the structural surface corresponding to the strength combination is also specified. First uniaxial compressive strength JCS 低 The ratio λ of the uniaxial compressive strength on both sides is shown in Table 3.

[0119] Table 2 Basic Mechanical Parameters of Artificial Rock Mass

[0120] Soft (L) 1:2:2 14.82 2124 Softer (M) 1:2.5:1.8 25.70 2200 Harder (H) 1:3:2 35.21 2237

[0121] Table 3. Basic friction angles of anisotropic structural surfaces under different strength combinations.

[0122] Basic friction angle / ° 30.4 31.13 31.45 32.48 33.27 34.35 <![CDATA[JCS 低 / MPa]]> 14.82 14.82 14.82 25.70 25.70 35.21 λ 1 1.73 2.38 1 1.37 1

[0123] (2) Using the EinScan-Pro handheld high-precision scanner, the surface morphology of the heterogeneous structure with different strength combinations was scanned and recorded, and the scanned data was converted into high-precision point cloud data.

[0124] (3) Import the point cloud data into Rhino, and use... Figure 8 The study area is selected at three shearing directions: 0°, 30°, and 60° (the specific dimensions can be determined according to the specifications in engineering). Since the scanned structural surface yields an irregular shape, it is... Figure 8 The elliptical shape shown is cut to facilitate rotation.

[0125] (4) As recommended, for each of the three shear directions of 0°, 30°, and 60°, 11 profile lines are extracted to divide the structural surface into 10 equally wide regions (e.g., Figure 5 (As shown), and each profile line is discretized into 140 line segments. The initial structural surface roughness coefficient JRC in the three shear directions of 0°, 30°, and 60° is calculated using the method in step 103. 初始 The values ​​are 7.82, 7.23, and 6.42, respectively. Then, the shear ramp rate and profile curvature coefficient in the three shear directions of 0°, 30°, and 60° are calculated, thereby obtaining the surface roughness coefficient JRC of the structural surface in the three shear directions of 0°, 30°, and 60°.

[0126] (5) The simulated working condition is the normal stress σ of the upper soil pressure acting on the structural surface. n The case is 1 MPa.

[0127] Using the above technical solution, σ n JRC CJCS Substitution Formula The calculated peak shear strength can be obtained with good reliability (see Table 4), and it can be used as a reference for subsequent rock stability analysis.

[0128] Table 4. Calculated peak shear strength (MPa) of irregular structural surfaces under different strength combinations.

[0129]

[0130] This invention first obtains the first uniaxial compressive strength of the side with lower wall strength and the second uniaxial compressive strength of the side with higher wall strength on both sides of the structure to be tested, and then obtains the three-dimensional point cloud data of the structure to be tested. Next, a mesh model with a shape highly consistent with the structure to be tested is constructed based on the three-dimensional point cloud data, and profile lines are extracted at equal intervals along the shear direction perpendicular to the structure to be tested on the mesh model. Then, based on the endpoint coordinates of each line segment after discretization of each profile line, the surface roughness coefficient of the structure to be tested is calculated. Finally, based on the first and second uniaxial compressive strengths, the combined wall strength of the structure to be tested is calculated. Thus, the shear strength of the structure to be tested is calculated based on the surface roughness coefficient and the combined wall strength. Furthermore, this method provides a shear strength calculation method for anisotropic rock structures in complex strata to facilitate rock stability analysis. This method combines optical information acquisition technology, computer science, finite difference numerical calculation, and geotechnical testing. It is simple to operate and can transform empirical judgments into quantitative calculations, thereby accurately analyzing the shear strength of anisotropic rock structures. It avoids the drawbacks of subjectivity and experience and has important significance in engineering practice.

[0131] It should be understood that the sequence number of each step in the above embodiments does not imply 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.

[0132] The following are device embodiments of the present invention. For details not described in detail, please refer to the corresponding method embodiments described above.

[0133] Figure 9 A schematic diagram of the shear strength calculation device for irregular structural surfaces provided in an embodiment of the present invention is shown. For ease of explanation, only the parts related to the embodiment of the present invention are shown, and are described in detail below:

[0134] like Figure 9 As shown, the device for calculating the shear strength of anisotropic structural surfaces includes: an acquisition module 91, a first processing module 92, a second processing module 93, a third processing module 94, and a fourth processing module 95.

[0135] The acquisition module 91 is used to acquire the first uniaxial compressive strength on the side with lower wall strength and the second uniaxial compressive strength on the side with higher wall strength on both sides of the structure surface to be tested, and to acquire the three-dimensional point cloud data of the structure surface to be tested.

[0136] The first processing module 92 is used to construct a mesh model with a shape height consistent with the structure surface to be measured based on the three-dimensional point cloud data, and to extract profile lines at equal intervals along the shear direction of the structure surface to be measured on the mesh model.

[0137] The second processing module 93 is used to calculate the surface roughness coefficient of the structure surface to be measured based on the endpoint coordinate information of each line segment after discretization of each profile line.

[0138] The third processing module 94 is used to calculate the combined wall strength of the structural surface of the structural surface to be tested based on the first uniaxial compressive strength and the second uniaxial compressive strength.

[0139] The fourth processing module 95 is used to calculate the shear strength of the structural surface to be tested based on the surface roughness coefficient of the structural surface and the combined wall strength of the structural surface.

[0140] This invention first obtains the first uniaxial compressive strength of the side with lower wall strength and the second uniaxial compressive strength of the side with higher wall strength on both sides of the structure to be tested, and then obtains the three-dimensional point cloud data of the structure to be tested. Next, a mesh model with a shape highly consistent with the structure to be tested is constructed based on the three-dimensional point cloud data, and profile lines are extracted at equal intervals along the shear direction perpendicular to the structure to be tested on the mesh model. Then, based on the endpoint coordinates of each line segment after discretization of each profile line, the surface roughness coefficient of the structure to be tested is calculated. Finally, based on the first and second uniaxial compressive strengths, the combined wall strength of the structure to be tested is calculated. Thus, the shear strength of the structure to be tested is calculated based on the surface roughness coefficient and the combined wall strength. Furthermore, this method provides a shear strength calculation method for anisotropic rock structures in complex strata to facilitate rock stability analysis. This method combines optical information acquisition technology, computer science, finite difference numerical calculation, and geotechnical testing. It is simple to operate and can transform empirical judgments into quantitative calculations, thereby accurately analyzing the shear strength of anisotropic rock structures. It avoids the drawbacks of subjectivity and experience and has important significance in engineering practice.

[0141] In one possible implementation, the third processing module 94 can be used to calculate the ratio of the uniaxial compressive strengths on both sides of the structure surface to be tested based on the first uniaxial compressive strength and the second uniaxial compressive strength.

[0142] The structural surface combined wall strength of the structural surface to be tested is calculated based on the ratio of the first uniaxial compressive strength to the uniaxial compressive strength of both sides.

[0143] In one possible implementation, the third processing module 94 can be used to... Calculate the combined wall strength of the structural surfaces to be tested;

[0144] Wherein, CJCS is the combined wall strength of the structural surface to be tested, JCS_low is the first uniaxial compressive strength, a is the first fitting coefficient, b is the second fitting coefficient, a and b are obtained by multivariate nonlinear fitting, and λ is the ratio of the uniaxial compressive strengths on both sides.

[0145] In one possible implementation, the fourth processing module 95 can be used to... Calculate the shear strength of the structural surface to be tested;

[0146] Where, τ p σ represents the shear strength of the structural surface to be tested. n The normal stress acting on the surface of the structure under test. The basic friction angle of the structure to be tested is denoted as JRC, the surface roughness coefficient of the structure is denoted as CJCS, and the combined wall strength of the structure is denoted as CJCS.

[0147] In one possible implementation, the second processing module 93 can be used to calculate the weighted average gradient and cumulative relative fluctuation amplitude corresponding to each profile line based on the endpoint coordinate information of each segment of each profile line. The weighted average gradient represents the friction effect of the structure surface under test, and the cumulative relative fluctuation amplitude represents the shear climbing effect of the structure surface under test.

[0148] Calculate the initial surface roughness coefficient of the structure surface to be tested based on each of the weighted average gradients and each of the cumulative relative fluctuation amplitudes.

[0149] Based on the endpoint coordinates of each segment of each profile line, determine whether each segment of each profile line is an uphill segment or a non-uphill segment;

[0150] Based on the approximate length of each climbing segment in all line segments corresponding to each profile line and the approximate total length of all line segments corresponding to each profile line, calculate the shear climbing rate corresponding to the structure surface to be measured.

[0151] Calculate the section curvature coefficient corresponding to the structure surface under test based on the approximate length of each line segment corresponding to each section line and the actual length of each line segment corresponding to each section line.

[0152] The surface roughness coefficient of the initial structural surface is obtained by correcting the shear ramp rate and the profile curvature coefficient.

[0153] In one possible implementation, the second processing module 93 can be used to... Calculate the shear ramp rate corresponding to the structural surface to be tested;

[0154] Where SCR is the shear ramp rate corresponding to the structure surface under test, N is the number of profile lines, and L is the number of lines taken. p L is the approximate total length of all line segments corresponding to each profile line. j+ Let L be the approximate length of the j-th climbing segment among all line segments corresponding to each profile line, where j = 1, 2, ..., m, and m is the total number of climbing segments among all line segments corresponding to each profile line.k- Let w be the approximate length of the k-th non-climbing segment among all line segments corresponding to each profile line, where k = 1, 2, ..., w, and w is the total number of non-climbing segments among all line segments corresponding to each profile line.

[0155] In one possible implementation, the second processing module 93 can be used to... Calculate the curvature coefficient of the section corresponding to the surface of the structure to be measured;

[0156] Where CCP is the curvature coefficient of the section corresponding to the structure surface under test, N is the number of sections, m is the total number of climbing sections among all segments corresponding to each section line, w is the total number of non-climbing sections among all segments corresponding to each section line, and L j+ L is the approximate length of the j-th climbing segment among all line segments corresponding to each profile line. tj+ Let L be the actual length of the j-th climbing segment among all line segments corresponding to each profile line, where j = 1, 2, ..., m, L k- L is the approximate length of the k-th non-climbing segment among all line segments corresponding to each profile line. tk- Let w be the actual length of the k-th non-climbing segment among all the line segments corresponding to each profile line, where k = 1, 2, ... w.

[0157] In one possible implementation, the second processing module 93 can be used to... Obtain the surface roughness coefficient of the structural surface corresponding to the structural surface to be tested;

[0158] Where JRC is the surface roughness coefficient of the structure surface to be measured, and α is the correction coefficient. 初始 denoted as the surface roughness coefficient of the initial structural surface, SCR as the shear ramp rate, CCP as the profile curvature coefficient, c as the third fitting coefficient, d as the fourth fitting coefficient, and e as the fifth fitting coefficient. c, d, and e are obtained through multivariate nonlinear fitting.

[0159] Figure 10 This is a schematic diagram of a terminal provided in an embodiment of the present invention. Figure 10 As shown, the terminal 10 in this embodiment includes a processor 100, a memory 101, and a computer program 102 stored in the memory 101 and executable on the processor 100. When the processor 100 executes the computer program 102, it implements the steps in the embodiments of the various methods for calculating the shear strength of heterogeneous structural surfaces, for example... Figure 1 Steps 101 to 105 are shown. Alternatively, when processor 100 executes computer program 102, it implements the functions of each module / unit in the above-described device embodiments, for example... Figure 9 The functions of modules / units 91 to 95 shown.

[0160] For example, computer program 102 can be divided into one or more modules / units, one or more of which are stored in memory 101 and executed by processor 100 to complete the present invention. One or more modules / units can be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of computer program 102 in terminal 10. For example, computer program 102 can be divided into... Figure 9 Modules / units 91 to 95 are shown.

[0161] Terminal 10 can be a computing device such as a desktop computer, laptop, handheld computer, or cloud server. Terminal 10 may include, but is not limited to, a processor 100 and a memory 101. Those skilled in the art will understand that... Figure 10 This is merely an example of terminal 10 and does not constitute a limitation on terminal 10. It may include more or fewer components than shown, or combine certain components, or different components. For example, the terminal may also include input / output devices, network access devices, buses, etc.

[0162] The processor 100 may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0163] The memory 101 can be an internal storage unit of the terminal 10, such as a hard disk or RAM of the terminal 10. The memory 101 can also be an external storage device of the terminal 10, such as a plug-in hard disk, SmartMedia Card (SMC), Secure Digital (SD) card, or Flash Card equipped on the terminal 10. Furthermore, the memory 101 can include both internal and external storage units of the terminal 10. The memory 101 is used to store computer programs and other programs and data required by the terminal. The memory 101 can also be used to temporarily store data that has been output or will be output.

[0164] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0165] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0166] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0167] In the embodiments provided by this invention, it should be understood that the disclosed devices / terminals and methods can be implemented in other ways. For example, the device / terminal embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0168] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0169] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0170] If integrated modules / units are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the above embodiments of the method for calculating the shear strength of heterogeneous structural surfaces. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.

[0171] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A method for calculating the shear strength of an irregularly shaped structural surface, characterized in that, include: The first uniaxial compressive strength of the side with lower wall strength and the second uniaxial compressive strength of the side with higher wall strength are obtained on both sides of the structure to be tested, and the three-dimensional point cloud data of the structure to be tested are obtained. A mesh model with a shape highly consistent with the topography of the structure surface to be measured is constructed based on the three-dimensional point cloud data, and profile lines are extracted at equal intervals along the shear direction of the structure surface to be measured on the mesh model. Based on the endpoint coordinates of each line segment after discretization of each profile line, the surface roughness coefficient of the structure surface to be measured is calculated. Calculate the combined wall strength of the structural surface of the structure to be tested based on the first uniaxial compressive strength and the second uniaxial compressive strength; The shear strength of the structural surface to be tested is calculated based on the surface roughness coefficient of the structural surface and the combined wall strength of the structural surface. according to Calculate the combined wall strength of the structural surfaces to be tested; The strength of the combined wall surface of the structural surface to be tested. The first uniaxial compressive strength, The first fitting coefficient, The second fitting coefficient, and It was obtained through multivariate nonlinear fitting. The ratio of the uniaxial compressive strengths on both sides of the structural surface under test, calculated based on the first uniaxial compressive strength and the second uniaxial compressive strength; Based on the endpoint coordinates of each segment of each profile line, the weighted average gradient and cumulative relative fluctuation amplitude corresponding to each profile line are calculated. The weighted average gradient represents the friction effect of the structure surface under test, and the cumulative relative fluctuation amplitude represents the shear climbing effect of the structure surface under test. Based on each weighted average gradient and each cumulative relative fluctuation amplitude, the initial surface roughness coefficient of the structure surface under test is calculated. Based on the endpoint coordinates of each segment of each profile line, determine whether each segment of each profile line is a climbing segment or a non-climbing segment; based on the approximate length of each climbing segment and the approximate total length of all segments corresponding to each profile line, calculate the shear climbing rate corresponding to the structure surface to be measured; based on the approximate length of each segment and the actual length of each segment corresponding to each profile line, calculate the profile curvature coefficient corresponding to the structure surface to be measured. The surface roughness coefficient of the initial structural surface is corrected based on the shear ramp rate and the profile curvature coefficient to obtain the surface roughness coefficient of the structural surface corresponding to the structural surface to be tested. according to Calculate the shear ramp rate corresponding to the structural surface to be tested; based on Calculate the curvature coefficient of the section corresponding to the surface of the structure to be measured; This represents the shear ramp rate corresponding to the structural surface under test. The number of lines to be taken for the profile. This represents the approximate total length of all line segments corresponding to each profile line. For each profile line, the first line segment is the first line segment of all line segments. Approximate length of each uphill section, , This represents the total number of uphill sections among all line segments corresponding to each profile line. For each profile line, the first line segment is the first line segment of all line segments. Approximate length of each non-climbing section, , This represents the total number of non-climbing segments among all line segments corresponding to each profile line; denoted as the curvature coefficient of the cross-section corresponding to the surface of the structure to be measured. For each profile line, the first line segment is the first line segment of all line segments. The actual length of each uphill section For each profile line, the first line segment is the first line segment of all line segments. The actual length of the non-climbing section.

2. The method for calculating the shear strength of anisotropic structural surfaces according to claim 1, characterized in that, The calculation of the shear strength of the structural surface under test based on the surface roughness coefficient of the structural surface and the combined wall strength of the structural surface includes: according to Calculate the shear strength of the structural surface to be tested; in, The shear strength of the structural surface to be tested. The normal stress acting on the surface of the structure under test. The basic friction angle of the structure surface to be measured. The surface roughness coefficient of the structure is... The strength of the combined wall surface of the structure is given.

3. The method for calculating the shear strength of anisotropic structural surfaces according to claim 1, characterized in that, The step of correcting the initial structural surface surface roughness coefficient based on the shear ramp rate and the profile curvature coefficient to obtain the structural surface surface roughness coefficient corresponding to the structural surface to be tested includes: according to The surface roughness coefficient of the structure surface to be tested is obtained. in, The surface roughness coefficient of the structural surface corresponding to the structural surface to be measured. For correction factor, The surface roughness coefficient of the initial structural surface. The shear ramp rate is... The curvature coefficient of the profile is... The third fitting coefficient, The fourth fitting coefficient, The fifth fitting coefficient, , and It was obtained through multivariate nonlinear fitting.

4. A terminal, characterized in that, It includes a memory and a processor, the memory being used to store a computer program, and the processor being used to call and run the computer program stored in the memory to perform the method as described in any one of claims 1 to 3.

5. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1 to 3 above.

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