A coarse-grained soil crushing analysis method and device, electronic equipment and storage medium
By analyzing the fine particle content and gradation shape parameters before and after crushing, and using a nonlinear least squares fitting algorithm to calculate the crushing index value, the problem of balancing theoretical depth and engineering feasibility in existing technologies is solved, and efficient and accurate coarse-grained soil crushing analysis is achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHANGJIANG RIVER SCI RES INST CHANGJIANG WATER RESOURCES COMMISSION
- Filing Date
- 2026-02-14
- Publication Date
- 2026-05-29
Smart Images
Figure CN122108859A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the technical field of geotechnical engineering testing and computational analysis, and in particular to a method, apparatus, electronic device and storage medium for crushing analysis of coarse-grained soil. Background Technology
[0002] Particle breakage is an irreversible physical change that occurs in coarse-grained soil materials under external forces, significantly affecting their strength envelope morphology, volumetric deformation characteristics (such as dilatation / contraction inflection points), permeability coefficient evolution, and long-term creep behavior. Therefore, establishing a physically meaningful, engineering-measurable, and computationally efficient quantitative index for particle breakage is fundamental for conducting structural modeling of coarse-grained soils, predicting dam deformation, and evaluating stability. Currently, two representative breakage indices are widely used in engineering and academia: 1. Marsal breakage rate index: defined as the sum of the absolute values of the changes in mass fraction of each particle group before and after breakage. This method is simple to calculate and easy to understand, but its essence is a statistical summary of discrete gradation differences, failing to reflect the overall continuous evolution law of the gradation curve, lacking theoretical support at the thermodynamic or information theory level, and making it difficult to correlate the energy dissipation and microstructure reorganization mechanism of the breakage process. 2. Einav relative breakage index: defined as the ratio of the area difference between the actual gradation and the initial gradation to the "breakage potential." This index has a clear geometric interpretation and entropy increase analogy basis, with strong theoretical rigor. However, its core reliance is on the parameter "limit gradation," which is extremely difficult to determine in practice. In summary, existing technologies face a fundamental contradiction between theoretical depth and engineering feasibility. There is an urgent need for a method for the fracturing analysis of coarse-grained soils that does not rely on limit assumptions, has easily measurable parameters, explicit formulas, and clear physical implications. Summary of the Invention
[0003] In view of this, the purpose of this application is to provide a method, apparatus, electronic device and storage medium for crushing analysis of coarse-grained soil, which calculates the crushing index value of coarse-grained soil by using the fine particle content before crushing, the gradation shape parameters before crushing, the fine particle content after crushing and the gradation shape parameters after crushing, thereby improving the calculation efficiency and the accuracy of crushing analysis of coarse-grained soil.
[0004] This application provides a method for crushing analysis of coarse-grained soil, the crushing analysis method comprising: Parametric analysis was performed on the screening data of coarse-grained soil before and after crushing to determine the fine particle content, gradation shape parameters before crushing, fine particle content and gradation shape parameters after crushing. The crushing index values of coarse-grained soil are determined by calculating the fine particle content before crushing, the gradation shape parameters before crushing, the fine particle content after crushing, and the gradation shape parameters after crushing. The crushing grade of the coarse-grained soil is determined based on the preset grading threshold range and the crushing index value.
[0005] In one possible implementation, the parameter analysis of the pre-crushing and post-crushing screening data of coarse-grained soil to determine the fine particle content, pre-crushing gradation shape parameters, post-crushing fine particle content, and post-crushing gradation shape parameters includes: Data processing is performed on the screening data before crushing and the screening data after crushing to determine the fine particle content before crushing and the fine particle content after crushing. The pre-crushing screening data and the post-crushing screening data are input into the coarse-grained soil continuous gradation model, and the parameters are solved by a nonlinear least squares fitting algorithm to determine the pre-crushing gradation shape parameters and the post-crushing gradation shape parameters.
[0006] In one possible implementation, the objective function of the nonlinear least squares fitting is: ; in, The content of fine particles with a diameter ≤5mm. m Let be the gradation shape parameters to be determined. For the first j The particle size is measured in mm. For the first j Particle size The cumulative sieve passing percentage, 12 and 60 are characteristic particle size constants.
[0007] In one possible implementation, the crushing analysis method further includes, in the step of inputting the pre-crushing sieving data and the post-crushing sieving data into a coarse-grained soil continuous gradation model and solving for parameters using a nonlinear least squares fitting algorithm: Determine whether the data fitting quality in the process of using the nonlinear least squares fitting algorithm meets the preset determination coefficient threshold. If not, perform data verification on the pre-crushing screening data and the post-crushing screening data.
[0008] In one possible implementation, the breakage index value is determined by the following formula: ; in, This refers to the breakage index value. For the fine particle content before crushing, For the pre-crushing gradation shape parameters, This refers to the fine particle content after crushing. 12 represents the gradation shape parameter after crushing, and 12 represents the characteristic particle size constant.
[0009] In one possible implementation, determining the crushing grade of the coarse-grained soil based on a preset grading threshold range and the crushing index value includes: If the crushing index value falls within the first-level threshold range, then the coarse-grained soil is determined to be in a slightly crushed state. If the crushing index value falls within the secondary threshold range, then the coarse-grained soil is determined to be in a medium crushing state. If the crushing index value falls within the third-level threshold range, then the coarse-grained soil is determined to be in a significantly crushed state; wherein, the range values of the first-level threshold range, the second-level threshold range, and the third-level threshold range increase sequentially.
[0010] This application embodiment also provides a crushing and analysis device for coarse-grained soil, the crushing and analysis device comprising: The data processing module is used to perform parameter analysis on the screening data of coarse-grained soil before and after crushing, and to determine the fine particle content, gradation shape parameters before crushing, fine particle content and gradation shape parameters after crushing. The index calculation module is used to calculate the crushing index of the fine particle content before crushing, the gradation shape parameter before crushing, the fine particle content after crushing, and the gradation shape parameter after crushing, and to determine the crushing index value of coarse soil. The crushing grade determination module is used to determine the crushing grade of the coarse-grained soil based on a preset grading threshold range and the crushing index value.
[0011] In one possible implementation, the data processing module is used to perform parameter analysis on the pre-crushing and post-crushing screening data of coarse-grained soil to determine the fine particle content before crushing, the pre-crushing gradation shape parameters, the post-crushing fine particle content, and the post-crushing gradation shape parameters. Data processing is performed on the screening data before crushing and the screening data after crushing to determine the fine particle content before crushing and the fine particle content after crushing. The pre-crushing screening data and the post-crushing screening data are input into the coarse-grained soil continuous gradation model, and the parameters are solved by a nonlinear least squares fitting algorithm to determine the pre-crushing gradation shape parameters and the post-crushing gradation shape parameters.
[0012] This application embodiment also provides an electronic device, including: a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor communicates with the memory via the bus. When the machine-readable instructions are executed by the processor, the steps of the coarse-grained soil crushing analysis method described above are performed.
[0013] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, performs the steps of the coarse-grained soil crushing analysis method described above.
[0014] This application provides a method, apparatus, electronic device, and storage medium for crushing analysis of coarse-grained soil. The crushing analysis method includes: performing parameter analysis on pre-crushing and post-crushing screening data of the coarse-grained soil to determine the fine particle content, pre-crushing gradation shape parameters, post-crushing fine particle content, and post-crushing gradation shape parameters; calculating crushing indices on the pre-crushing fine particle content, pre-crushing gradation shape parameters, post-crushing fine particle content, and post-crushing gradation shape parameters to determine the crushing index value of the coarse-grained soil; and determining the crushing grade of the coarse-grained soil based on a preset gradation threshold range and the crushing index value. By calculating the crushing index using the pre-crushing fine particle content, pre-crushing gradation shape parameters, post-crushing fine particle content, and post-crushing gradation shape parameters, the crushing index value of the coarse-grained soil is determined, improving calculation efficiency and the accuracy of coarse-grained soil crushing analysis.
[0015] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description
[0016] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.
[0017] Figure 1 A flowchart illustrating a method for analyzing the fracturing of coarse-grained soil provided in an embodiment of this application; Figure 2 This is a schematic diagram of a method for crushing analysis of coarse-grained soil provided in an embodiment of this application; Figure 3 This is a schematic diagram of the structure of a coarse-grained soil crushing and analysis device provided in an embodiment of this application; Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation
[0018] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of this application. Based on the embodiments of this application, every other embodiment obtained by those skilled in the art without inventive effort falls within the scope of protection of this application.
[0019] First, the applicable scenarios for this application are introduced. This application can be applied to the technical field of geotechnical engineering testing and computational analysis.
[0020] Research has revealed that particle breakage is an irreversible physical change in coarse-grained soil materials under external forces, significantly affecting its strength envelope morphology, volumetric deformation characteristics (such as dilatation / contraction inflection points), permeability coefficient evolution, and long-term creep behavior. Therefore, establishing a physically meaningful, engineering-measurable, and computationally efficient quantitative index for particle breakage is fundamental for conducting structural modeling, dam deformation prediction, and stability evaluation of coarse-grained soils. Currently, two representative breakage indices are widely used in engineering and academia: 1. Marsal breakage rate index: defined as the sum of the absolute values of the changes in mass fraction of each particle group before and after breakage. This method is simple to calculate and easy to understand, but its essence is a statistical summary of discrete gradation differences, failing to reflect the overall continuous evolution law of the gradation curve, lacking theoretical support at the thermodynamic or information theory level, and making it difficult to correlate the energy dissipation and microstructure reorganization mechanism of the breakage process. 2. Einav relative breakage index: defined as the ratio of the area difference between the actual gradation and the initial gradation to the "breakage potential." This index has a clear geometric interpretation and entropy increase analogy basis, with strong theoretical rigor. However, its core reliance is on the parameter "limit gradation," which is extremely difficult to determine in practice. In summary, existing technologies face a fundamental contradiction between theoretical depth and engineering feasibility. There is an urgent need for a method for the fracturing analysis of coarse-grained soils that does not rely on limit assumptions, has easily measurable parameters, explicit formulas, and clear physical implications.
[0021] Based on this, this application provides a method for crushing analysis of coarse-grained soil. By calculating the crushing index based on the fine-grain content before crushing, the gradation shape parameters before crushing, the fine-grain content after crushing, and the gradation shape parameters after crushing, the crushing index value of coarse-grained soil is determined, thereby improving calculation efficiency and accuracy of crushing analysis of coarse-grained soil.
[0022] Please see Figure 1 , Figure 1This is a flowchart illustrating a method for analyzing the fracturing of coarse-grained soil provided in an embodiment of this application. Figure 1 As shown in the embodiments of this application, the fragmentation analysis method includes: S101: Perform parameter analysis on the screening data of coarse-grained soil before and after crushing to determine the fine particle content before crushing, the gradation shape parameters before crushing, the fine particle content after crushing, and the gradation shape parameters after crushing.
[0023] It should be noted that the fine particle content before and after crushing refers to the fine particle content before / after crushing. The determination of fine particle content Defined as: the percentage of dry mass of particles with a diameter d ≤ 5 mm in the total dry mass of the sample; the fine particle content before crushing is denoted as: The fine particle content after crushing is recorded as .
[0024] Here, the gradation shape parameter m refers to a dimensionless characteristic parameter that characterizes the steepness of the coarse-grained soil particle gradation curve in the fine-grained dominant region (especially in the core response interval around d=5, mm).
[0025] The pre-crushing sieve data refers to the measured data obtained from the dry sieve test of the coarse-grained soil sample according to the "GB / T50123–2019 Standard for Geotechnical Testing Methods" before any external load (including confining pressure, axial stress, shear stress, or impact energy) is applied to the sample. The post-crushing sieve data refers to the measured data obtained from the dry sieve test of the same sample immediately after completing the predetermined load test (such as triaxial compression test to peak strength, direct shear test to residual strength, large compaction test to design dry density, or after the rockfill has experienced actual working conditions such as earthquake / flood discharge) and confirming the occurrence of macroscopic particle crushing, after the sample is removed, dried, and then dry sieve tested again according to the exact same standard, sieve equipment, operating procedures, and environmental conditions.
[0026] In one possible implementation, the parameter analysis of the pre-crushing and post-crushing screening data of coarse-grained soil to determine the fine particle content, pre-crushing gradation shape parameters, post-crushing fine particle content, and post-crushing gradation shape parameters includes: A: Data processing is performed on the screening data before crushing and the screening data after crushing to determine the fine particle content before crushing and the fine particle content after crushing.
[0027] Here, sieve analysis tests were conducted on the coarse-grained soil before and after crushing, strictly in accordance with the industry standard (GB / T50123-2019). The fine-grained content before and after crushing was determined by weighing and calculating the mass of particles passing through a 5mm steel sieve.
[0028] B: Input the pre-crushing screening data and the post-crushing screening data into the coarse-grained soil continuous gradation model, and use a nonlinear least squares fitting algorithm to solve the parameters to determine the pre-crushing gradation shape parameters and the post-crushing gradation shape parameters.
[0029] Here, the screening data before and after crushing are input into the coarse-grained soil continuous gradation model, and the parameters are solved by nonlinear least squares fitting algorithm to determine the gradation shape parameters before and after crushing.
[0030] The continuous gradation model for coarse-grained soil is as follows:
[0031] in, P The cumulative sieve pass rate (%). d Particle size (mm). The content (mass fraction) of fine particles with a particle size ≤ 5 mm is a key physical state parameter; m: gradation shape parameter (m>0), which controls the curve shape.
[0032] It should be noted that the characteristic of the coarse-grained soil continuous gradation model is that it can accurately fit the typical "inverse S-shaped" or "hyperbolic" gradation curve of coarse-grained soil, and the gradation curve always passes through the constraint point (5mm, S5) for stable fitting.
[0033] Here, the process of performing constrained nonlinear least squares fitting is as follows: the initial state parameters ( ) and post-crushing state parameters ( , Input into the coarse-grained soil continuous gradation model, with To find the objective function, we need to find the function that minimizes the objective function. Value, in To find the objective function, we need to find the function that minimizes the objective function. The fitting process must meet the following mandatory technical constraints: (i) the search space of the optimization variable m is limited to 0.1-5.0; (ii) the Levenberg-Marquardt algorithm (LM algorithm) is used for iterative solution, with the initial value set to 1; (iii) the convergence criterion is: the relative change of the objective function in two consecutive iterations is less than the preset threshold, or the maximum number of iterations is 200; (iv) if the optimization result m is 0.1 or 5.0, the fitting is deemed to have failed, and the quality of the screening data must be checked (such as whether there is agglomeration, blockage, or weighing error).
[0034] In one possible implementation, the objective function of the nonlinear least squares fitting is: ; in, The content of fine particles with a diameter ≤5mm. m Let be the gradation shape parameters to be determined. For the first j The particle size is measured in mm. For the first j Particle size The cumulative sieve passing percentage, 12 and 60 are characteristic particle size constants.
[0035] In this application, a single-parameter continuous gradation model with physical constraints (constantly passing through point (5mm, S5)) is introduced to determine the gradation shape parameters before and after crushing. This allows users to obtain results through a single algebraic operation by inputting only four parameters, without any numerical integration or area calculation. Compared to traditional methods based on point-by-point integration of discrete sieve data, the computation time is reduced by more than two orders of magnitude, and systematic deviations introduced by interpolation errors, integration step size selection, and boundary handling are completely avoided, ensuring high accuracy and strong reproducibility of the results.
[0036] In one possible implementation, the crushing analysis method further includes, in the step of inputting the pre-crushing sieving data and the post-crushing sieving data into a coarse-grained soil continuous gradation model and solving for parameters using a nonlinear least squares fitting algorithm: Determine whether the data fitting quality in the process of using the nonlinear least squares fitting algorithm meets the preset determination coefficient threshold. If not, perform data verification on the pre-crushing screening data and the post-crushing screening data.
[0037] Here, the data obtained by fitting the pre-crushing screening data is... and the results obtained by fitting the screening data after crushing. Calculate the corresponding determination coefficients. If any determination coefficient does not meet the corresponding preset determination coefficient threshold, the current fitting process is immediately terminated, and data verification is performed on the pre-crushing screening data and the post-crushing screening data. Data verification includes: verification of screening operation compliance, verification of data physical consistency, and verification of gradation morphology rationality. Gradation morphology rationality verification involves calculating the non-uniformity coefficient and curvature coefficient of the measured gradation. Based on the non-uniformity coefficient and curvature coefficient, it is determined that the coarse-grained soil gradation itself has serious deficiencies (such as pure gravel without fine particles or containing a large amount of silt and clay particles).
[0038] S102: Calculate the crushing index value of coarse-grained soil by analyzing the fine particle content before crushing, the gradation shape parameters before crushing, the fine particle content after crushing, and the gradation shape parameters after crushing.
[0039] In this step, the crushing index is calculated based on the fine particle content before crushing, the gradation shape parameters before crushing, the fine particle content after crushing, and the gradation shape parameters after crushing, so as to determine the crushing index value of coarse-grained soil.
[0040] In one possible implementation, the breakage index value is determined by the following formula: ; in, This refers to the breakage index value. For the fine particle content before crushing, For the pre-crushing gradation shape parameters, This refers to the fine particle content after crushing. 12 represents the gradation shape parameter after crushing, and 12 is the characteristic particle size constant. (Subscript) i and f These represent the states before and after crushing, respectively.
[0041] S103: Determine the crushing grade of the coarse-grained soil based on the preset grading threshold range and the crushing index value.
[0042] In this step, the crushing grade of coarse-grained soil is determined based on the preset grading threshold range and the crushing index value.
[0043] In one possible implementation, determining the crushing grade of the coarse-grained soil based on a preset grading threshold range and the crushing index value includes: If the breakage index value falls within the first-level threshold range, the coarse-grained soil is determined to be in a slightly broken state; if the breakage index value falls within the second-level threshold range, the coarse-grained soil is determined to be in a moderately broken state; if the breakage index value falls within the third-level threshold range, the coarse-grained soil is determined to be in a significantly broken state; wherein, the range values of the first-level threshold range, the second-level threshold range, and the third-level threshold range increase sequentially.
[0044] Here, the preset grading threshold range is defined as follows: three levels of breakage and their corresponding values are defined. Value range: The first-level threshold range is 0.03. 0.10, slightly fractured state. The secondary threshold range is: 0.1. 0.25, moderate breakage. The third-level threshold range is: 0.25. It is in a significantly broken state.
[0045] For further details, please refer to Figure 2 , Figure 2 This is a schematic diagram illustrating a method for crushing and analyzing coarse-grained soil provided in an embodiment of this application. Figure 2As shown, the screening data before and after crushing were processed to determine the fine particle content before and after crushing. A continuous gradation model for coarse-grained soil was then used to process the screening data to determine the gradation shape parameters before and after crushing. Finally, the fine particle content before and after crushing, along with their respective gradation shape parameters, were used to calculate the crushing index, thus determining the crushing index value for the coarse-grained soil.
[0046] In a specific embodiment, triaxial shear tests were conducted on a pile of stones with confining pressures of 1.5 MPa and 2.1 MPa, respectively; subsequently, the initial test and the samples after failure were sieved, and the results could be measured. S 5,i and S 5,f Substituting the initial gradation data and the gradation data after crushing into the coarse-grained soil continuous gradation model, the following was determined: m i and m f Please refer to Table 1 below for the sieving test results and specific calculated values: Table 1. Results of the sieving test
[0047] Table 1 shows that the riprap material underwent particle crushing. Observing the gradation curve, it was found that after crushing, particles smaller than 5mm (…) S 5) A significant increase was observed, with particle breakage being visually apparent. Furthermore, a quantitative value for the degree of breakage could be calculated after each test, consistent with visual observation. In addition, by comparing particle breakage index values under different confining pressure conditions, the following parameters were determined: B w The law that the coarse-grained soil particle breakage index increases with increasing confining pressure is consistent with basic physical understanding, thus verifying that the coarse-grained soil particle breakage index and its calculation method in this application are appropriate.
[0048] Table 1 shows that particle breakage occurred in the riprap. Observing the gradation curve, it was found that the number of particles smaller than 5mm (S5) increased significantly after breakage, clearly indicating the occurrence of particle breakage. Furthermore, a quantitative value of the degree of breakage could be calculated after each test, consistent with visual observation. In addition, comparing the particle breakage index values under different confining pressures revealed that Bw increases with increasing confining pressure, which aligns with basic physical understanding. This verifies that the coarse-grained soil particle breakage index and its calculation method in this invention are appropriate.
[0049] This application provides a method for crushing analysis of coarse-grained soil. The method includes: performing parameter analysis on pre-crushing and post-crushing screening data of the coarse-grained soil to determine the fine particle content, pre-crushing gradation shape parameters, post-crushing fine particle content, and post-crushing gradation shape parameters; calculating crushing indices on the pre-crushing fine particle content, pre-crushing gradation shape parameters, post-crushing fine particle content, and post-crushing gradation shape parameters to determine the crushing index value of the coarse-grained soil; and determining the crushing grade of the coarse-grained soil based on a preset gradation threshold range and the crushing index value. By calculating the crushing index using the pre-crushing fine particle content, pre-crushing gradation shape parameters, post-crushing fine particle content, and post-crushing gradation shape parameters, the crushing index value of the coarse-grained soil is determined, improving calculation efficiency and the accuracy of coarse-grained soil crushing analysis.
[0050] Please see Figure 3 , Figure 3 This is a schematic diagram of the structure of a coarse-grained soil crushing and analysis device provided in an embodiment of this application. Figure 3 As shown, the coarse-grained soil crushing and analysis device 300 includes: The data processing module 310 is used to perform parameter analysis on the screening data before and after crushing of coarse-grained soil, and to determine the fine particle content before crushing, the gradation shape parameters before crushing, the fine particle content after crushing, and the gradation shape parameters after crushing. The index calculation module 320 is used to calculate the crushing index of the fine particle content before crushing, the gradation shape parameter before crushing, the fine particle content after crushing, and the gradation shape parameter after crushing, and to determine the crushing index value of the coarse soil. The crushing grade determination module 330 is used to determine the crushing grade of the coarse-grained soil based on a preset grading threshold range and the crushing index value.
[0051] Furthermore, the data processing module 310 is used to perform parameter analysis on the pre-crushing and post-crushing screening data of the coarse-grained soil to determine the fine particle content before crushing, the pre-crushing gradation shape parameters, the post-crushing fine particle content, and the post-crushing gradation shape parameters. Data processing is performed on the screening data before crushing and the screening data after crushing to determine the fine particle content before crushing and the fine particle content after crushing. The pre-crushing screening data and the post-crushing screening data are input into the coarse-grained soil continuous gradation model, and the parameters are solved by a nonlinear least squares fitting algorithm to determine the pre-crushing gradation shape parameters and the post-crushing gradation shape parameters.
[0052] Furthermore, the data processing module 310 is also used for: Determine whether the data fitting quality in the process of using the nonlinear least squares fitting algorithm meets the preset determination coefficient threshold. If not, perform data verification on the pre-crushing screening data and the post-crushing screening data.
[0053] Furthermore, the index calculation module 320 determines the crushing index value using the following formula: ; in, This refers to the breakage index value. For the fine particle content before crushing, For the pre-crushing gradation shape parameters, This refers to the fine particle content after crushing. 12 represents the gradation shape parameter after crushing, and 12 represents the characteristic particle size constant.
[0054] Furthermore, the crushing grade determination module 330 is used to determine the crushing grade of the coarse-grained soil based on a preset grading threshold range and the crushing index value: If the crushing index value falls within the first-level threshold range, then the coarse-grained soil is determined to be in a slightly crushed state. If the crushing index value falls within the secondary threshold range, then the coarse-grained soil is determined to be in a medium crushing state. If the crushing index value falls within the third-level threshold range, then the coarse-grained soil is determined to be in a significantly crushed state; wherein, the range values of the first-level threshold range, the second-level threshold range, and the third-level threshold range increase sequentially.
[0055] This application provides a crushing analysis device for coarse-grained soil. The device includes: a data processing module for analyzing parameters of pre-crushing and post-crushing screening data of the coarse-grained soil to determine the fine-grain content, pre-crushing gradation shape parameters, post-crushing fine-grain content, and post-crushing gradation shape parameters; an index calculation module for calculating crushing indices on the pre-crushing fine-grain content, pre-crushing gradation shape parameters, post-crushing fine-grain content, and post-crushing gradation shape parameters to determine the crushing index value of the coarse-grained soil; and a crushing grade determination module for determining the crushing grade of the coarse-grained soil based on a preset grading threshold range and the crushing index value. By calculating the crushing index using the pre-crushing fine-grain content, pre-crushing gradation shape parameters, post-crushing fine-grain content, and post-crushing gradation shape parameters, the crushing index value of the coarse-grained soil is determined, improving calculation efficiency and the accuracy of coarse-grained soil crushing analysis.
[0056] Please see Figure 4 , Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 4As shown, the electronic device 400 includes a processor 410, a memory 420, and a bus 430.
[0057] The memory 420 stores machine-readable instructions executable by the processor 410. When the electronic device 400 is running, the processor 410 communicates with the memory 420 via the bus 430. When the machine-readable instructions are executed by the processor 410, they can perform the operations described above. Figure 1 The steps of the coarse-grained soil crushing analysis method in the method embodiment shown are described in detail in the method embodiment, and will not be repeated here.
[0058] This application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, can perform the above-described actions. Figure 1 The steps of the coarse-grained soil crushing analysis method in the method embodiment shown are described in detail in the method embodiment, and will not be repeated here.
[0059] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.
[0060] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the shown or discussed mutual couplings, direct couplings, or communication connections may be through some communication interfaces; indirect couplings or communication connections between devices or units may be electrical, mechanical, or other forms.
[0061] 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.
[0062] In addition, the functional units in the various embodiments of this application 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.
[0063] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a 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 to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0064] Finally, it should be noted that the above-described embodiments are merely specific implementations of this application, used to illustrate the technical solutions of this application, and not to limit them. The scope of protection of this application is not limited thereto. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments, or make equivalent substitutions for some of the technical features, within the scope of the technology disclosed in this application. Such modifications, changes, 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 this application, and should all be covered within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.
Claims
1. A method for analyzing the fragmentation of coarse-grained soil, characterized in that, The fragmentation analysis method includes: Parametric analysis was performed on the screening data of coarse-grained soil before and after crushing to determine the fine particle content, gradation shape parameters before crushing, fine particle content and gradation shape parameters after crushing. The crushing index values of coarse-grained soil are determined by calculating the fine particle content before crushing, the gradation shape parameters before crushing, the fine particle content after crushing, and the gradation shape parameters after crushing. The crushing grade of the coarse-grained soil is determined based on the preset grading threshold range and the crushing index value.
2. The crushing analysis method according to claim 1, characterized in that, The parameter analysis of the pre-crushing and post-crushing screening data of coarse-grained soil determines the fine particle content, pre-crushing gradation shape parameters, post-crushing fine particle content, and post-crushing gradation shape parameters, including: Data processing is performed on the screening data before crushing and the screening data after crushing to determine the fine particle content before crushing and the fine particle content after crushing. The pre-crushing screening data and the post-crushing screening data are input into the coarse-grained soil continuous gradation model, and the parameters are solved by a nonlinear least squares fitting algorithm to determine the pre-crushing gradation shape parameters and the post-crushing gradation shape parameters.
3. The crushing analysis method according to claim 2, characterized in that, The objective function of the nonlinear least squares fitting is: ； in, The content of fine particles with a diameter ≤5mm. m Let be the gradation shape parameters to be determined. For the first j The particle size is measured in mm. For the first j Particle size The cumulative sieve passing percentage, 12 and 60 are characteristic particle size constants.
4. The crushing analysis method according to claim 2, characterized in that, In the process of inputting the pre-crushing and post-crushing screening data into the coarse-grained soil continuous gradation model and solving the parameters using a nonlinear least squares fitting algorithm, the crushing analysis method further includes: Determine whether the data fitting quality in the process of using the nonlinear least squares fitting algorithm meets the preset determination coefficient threshold. If not, perform data verification on the pre-crushing screening data and the post-crushing screening data.
5. The crushing analysis method according to claim 1, characterized in that, The breakage index value is determined using the following formula: ； in, This refers to the breakage index value. For the fine particle content before crushing, For the pre-crushing gradation shape parameters, This refers to the fine particle content after crushing. 12 represents the gradation shape parameter after crushing, and 12 represents the characteristic particle size constant.
6. The crushing analysis method according to claim 1, characterized in that, The step of determining the crushing grade of the coarse-grained soil based on a preset grading threshold range and the crushing index value includes: If the crushing index value falls within the first-level threshold range, then the coarse-grained soil is determined to be in a slightly crushed state. If the crushing index value falls within the secondary threshold range, then the coarse-grained soil is determined to be in a medium crushing state. If the crushing index value falls within the third-level threshold range, then the coarse-grained soil is determined to be in a significantly crushed state; wherein, the range values of the first-level threshold range, the second-level threshold range, and the third-level threshold range increase sequentially.
7. A crushing and analysis device for coarse-grained soil, characterized in that, The crushing analysis device includes: The data processing module is used to perform parameter analysis on the screening data of coarse-grained soil before and after crushing, and to determine the fine particle content, gradation shape parameters before crushing, fine particle content and gradation shape parameters after crushing. The index calculation module is used to calculate the crushing index of the fine particle content before crushing, the gradation shape parameter before crushing, the fine particle content after crushing, and the gradation shape parameter after crushing, and to determine the crushing index value of coarse soil. The crushing grade determination module is used to determine the crushing grade of the coarse-grained soil based on a preset grading threshold range and the crushing index value.
8. The crushing and analysis apparatus according to claim 7, characterized in that, The data processing module is used to perform parameter analysis on the pre-crushing and post-crushing screening data of coarse-grained soil to determine the fine particle content, pre-crushing gradation shape parameters, post-crushing fine particle content, and post-crushing gradation shape parameters. Data processing is performed on the screening data before crushing and the screening data after crushing to determine the fine particle content before crushing and the fine particle content after crushing. The pre-crushing screening data and the post-crushing screening data are input into the coarse-grained soil continuous gradation model, and the parameters are solved by a nonlinear least squares fitting algorithm to determine the pre-crushing gradation shape parameters and the post-crushing gradation shape parameters.
9. An electronic device, characterized in that, include: The device includes a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor communicates with the memory via the bus. The machine-readable instructions are executed by the processor to perform the steps of the crushing analysis method for coarse-grained soil as described in any one of claims 1 to 6.
10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, performs the steps of the crushing analysis method for coarse-grained soil as described in any one of claims 1 to 6.