Grading determination method, device, equipment and storage medium

Abstract

The present invention provides a gradation determination method, comprising: determining the mass loss of each particle group after destruction based on the input energy of the target rockfill body; determining a probability allocation matrix based on the original particle size and expected particle size of each particle group; determining the mass of the particles to be allocated based on the probability allocation matrix and the original particle mass of each particle group; and determining the gradation composition of the input energy of the target rockfill body based on the mass of the particles to be allocated, the original particle mass, and the mass loss of each particle group; the target rockfill body is composed of particle groups of multiple different particle sizes; the expected particle size is the particle size expected to be generated after the original particle size is destroyed; the probability allocation matrix is ​​composed of the correspondence between the mass of the particles to be allocated and the mass of the original particles; and the mass of the particles to be allocated includes the mass of the particles expected to be generated after destruction. The present invention can rapidly perform nondestructive testing, accurately measure, save time and effort, is applicable to various complex environments, accelerates construction progress, and improves construction efficiency.

Description

Technical Field

[0001] The present invention relates to the field of gradation measurement, and in particular to a gradation measurement method, device, equipment and storage medium. Background Art

[0002] Gradation is an important indicator that affects the mechanical properties of earth-rockfill dams. As the height of earth-rockfill dams under construction continues to increase, higher requirements are placed on the gradation control of rockfill dam materials. During the filling period, under the rolling of heavy equipment, the rockfill body will undergo significant particle crushing, which will in turn change the gradation composition of the rockfill body. During the operation period, under the high deadweight load of high earth-rockfill dams, particles will continue to crush inside the rockfill body, which will also lead to changes in the rockfill gradation. If the curvature coefficient or unevenness coefficient of the rockfill gradation exceeds the design range, or the particle group content exceeds the design envelope, it will lead to unqualified gradation areas, which will endanger the safe and stable operation of the dam. Therefore, gradation control is crucial during the filling and operation of earth-rockfill dams.

[0003] The traditional method for determining gradation is pit testing, which involves digging a pit, drying, weighing, screening, and measuring the content of each particle group in the compacted rockfill. This method is destructive to the dam, takes a long time, and significantly disrupts construction, seriously impacting progress. In recent years, this destructive testing technique has been gradually replaced by nondestructive testing using the added mass method for rockfill.

[0004] The added mass method measures the dam's natural frequency and dynamic stiffness parameters, then uses a calibrated digital gauge to determine the rockfill density. Currently, this method has been widely used in earth-rockfill dams. However, it can only detect rockfill density, not its gradation. This incomplete information hinders the development of non-destructive testing technology for rockfill dams.

[0005] However, currently, there is no technical solution for gradation detection of rockfill bodies, specifically, there is no gradation determination method, device, equipment and storage medium. Summary of the Invention

[0006] The present invention provides a gradation determination method, comprising:

[0007] Based on the target rockfill input energy, the mass loss of each particle group after destruction is determined;

[0008] determining a probability allocation matrix based on the original particle size and the expected particle size of each particle group;

[0009] Determine the mass of particles to be allocated corresponding to each particle group based on the probability allocation matrix and the original particle mass of each particle group;

[0010] Based on the mass of the particles to be allocated, the mass of the original particles and the lost mass of each particle group, the gradation composition of the input energy of the target rockfill body is determined;

[0011] The target rockfill body is composed of a plurality of particle groups of different particle sizes;

[0012] The expected particle size is the particle size expected to be generated after the original particle size is destroyed;

[0013] The probability allocation matrix is ​​composed of the corresponding relationship between the mass of the particles to be allocated and the mass of the original particles;

[0014] The mass of particles to be distributed includes the mass of particles of various sizes expected to be generated after each particle group is destroyed.

[0015] According to a gradation determination method provided by the present invention, the method of determining the mass loss of each particle group after destruction based on the input energy of the target rockfill body includes:

[0016] determining a probability of failure of each particle group based on the target rockfill input energy, the particle size of each particle group, the particle size at which particles fail under a first preset threshold, the input energy at which particles fail under the first preset threshold, a size effect parameter, and a Weibull distribution;

[0017] The mass loss of each particle group after destruction is determined based on the probability of destruction of each particle group and the original particle mass of each particle group.

[0018] According to a gradation determination method provided by the present invention, determining a probability distribution matrix based on the original particle size and the expected particle size of each particle group includes:

[0019] Determine the fractal dimension based on sieving tests;

[0020] A probability distribution matrix is ​​determined based on the fractal dimension, the original particle size, and the expected particle size.

[0021] According to a gradation determination method provided by the present invention, the gradation composition of the input energy of the target rockfill body is determined based on the mass of the particles to be allocated, the mass of the original particles, and the lost mass of each particle group, including:

[0022] Determine the mass of particles after redistribution of each particle group based on the mass of particles to be distributed, the mass of original particles, and the lost mass of each particle group;

[0023] The gradation composition of the target rockfill input energy is determined based on the redistributed particle mass.

[0024] According to a gradation determination method provided by the present invention, before determining the mass loss of each particle group after destruction based on the input energy of the target rockfill body, the method further includes:

[0025] The target rockfill body input energy is determined based on the dry density of the target rockfill body.

[0026] A gradation determination method provided by the present invention further includes:

[0027] rolling the target rockfill body multiple times to obtain the dry density of the target rockfill body each time;

[0028] The gradation composition of each target rockfill body is determined based on the dry density of each target rockfill body.

[0029] According to a gradation determination method provided by the present invention, when the gradation composition of the target rockfill body exceeds a second preset threshold, rolling the target rockfill body is stopped.

[0030] The present invention also provides a gradation measurement device, which adopts the above-mentioned gradation measurement method, comprising:

[0031] The first determining device is configured to determine the mass loss of each particle group after destruction based on the input energy of the target rockfill body;

[0032] The second determining means is configured to determine a probability distribution matrix based on the original particle size and the expected particle size of each particle group;

[0033] A third determining means is configured to determine the mass of particles to be allocated corresponding to each particle group based on the probability allocation matrix and the original particle mass of each particle group;

[0034] The fourth determining means determines the gradation composition of the input energy of the target rockfill body based on the mass of the particles to be allocated, the mass of the original particles and the lost mass of each particle group.

[0035] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned gradation determination method when executing the program.

[0036] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the above-mentioned gradation determination method when executed by a processor.

[0037] The present invention first determines the post-destruction mass loss of each particle group based on the target rockfill input energy. It then determines the corresponding to-be-allocated particle mass for each particle group based on the probability distribution matrix determined by the original and expected particle sizes of each particle group, as well as the original particle mass of each particle group. Finally, the to-be-allocated particle mass, original particle mass, and mass loss of each particle group are calculated and analyzed to determine the gradation composition of the target rockfill input energy. This method, unlike traditional pit measurement methods for gradation determination, enables rapid nondestructive testing, precise measurement, and saves time and effort. It is applicable to various complex environments, accelerating construction progress and improving efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0039] Figure 1 This is one of the flow diagrams of a gradation determination method provided by the present invention;

[0040] Figure 2 1 is a schematic diagram of a process for determining the mass loss of each particle group after destruction provided by the present invention;

[0041] Figure 3 Schematic diagram of the process of determining the probability distribution matrix provided by the present invention;

[0042] Figure 4 It is a schematic diagram of a process for determining the gradation composition of the input energy of a target rockfill body provided by the present invention;

[0043] Figure 5 This is the second flow chart of a gradation determination method provided by the present invention;

[0044] Figure 6 It is a structural schematic diagram of a gradation measuring device provided by the present invention;

[0045] Figure 7 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0046] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0047] Figure 1 This is one of the flow charts of a gradation determination method provided by the present invention. Those skilled in the art understand that gradation is the distribution of aggregate particles of different particle sizes. At the construction site of an earth-rock dam, the gradation needs to be controlled. Since the gradation curves of particles of different particle sizes are different, the density of the dam will be determined. Therefore, the gradation needs to be strictly controlled. In conventional operations, this can be achieved by setting the upper and lower limits of the gradation.

[0048] Before construction begins, the main structure of a dam needs to undergo an on-site compaction test. The main component of the main structure is a rockfill mass, in which the largest particle size can reach 1 meter, and the smallest particle size can be as little as 5 mm. Only by combining large and small particles can the maximum gap filling be achieved, thereby increasing the compaction density and improving the stability of the dam. In theory, the more times the compaction is repeated, the higher the density of the dam, but the more likely the particles will be damaged and crushed, thus affecting the gradation of the rockfill mass. Therefore, this application aims to test the rockfill mass during the compaction process to achieve maximum gradation control and control the number of compaction passes, thereby improving the density of the dam mass to the greatest extent possible while ensuring that the particles do not suffer large-scale damage or crushing.

[0049] Unlike traditional pit testing methods for determining gradation, the present invention changes the gradation of the rockfill by repeatedly rolling it until the gradation of the rockfill exceeds a certain range and reaches a level where further rolling is not possible. This achieves maximum gradation control and maximum compaction of the rockfill. Specifically, the present invention includes:

[0050] Based on the target rockfill input energy, the mass loss of each particle group after destruction is determined;

[0051] determining a probability allocation matrix based on the original particle size and the expected particle size of each particle group;

[0052] Determine the mass of particles to be allocated corresponding to each particle group based on the probability allocation matrix and the original particle mass of each particle group;

[0053] Based on the mass of the particles to be allocated, the mass of the original particles and the lost mass of each particle group, the gradation composition of the input energy of the target rockfill body is determined;

[0054] The target rockfill body is composed of a plurality of particle groups of different particle sizes;

[0055] The expected particle size is the particle size expected to be generated after the original particle size is destroyed;

[0056] The probability allocation matrix is ​​composed of the corresponding relationship between the mass of the particles to be allocated and the mass of the original particles;

[0057] The mass of particles to be distributed includes the mass of particles of various sizes expected to be generated after each particle group is destroyed.

[0058] In step S101, the target rockfill body input energy is the energy generated by impacting and squeezing the target rockfill body when the target rockfill body is rolled. By determining the target rockfill body input energy, the mass loss of each particle group after destruction can be obtained. The target rockfill body is composed of particle groups of multiple different particle sizes. Each particle group contains multiple particles of the same particle size. After continuously inputting energy into the target rockfill body, the larger particles therein will be broken or pulverized, causing them to become particles of relatively smaller particle sizes. The relatively smaller particles can also be redistributed and classified into particle groups of corresponding particle sizes within the particle group. Accordingly, the original particles will be decomposed into multiple particles of smaller particle sizes, resulting in their own mass being reduced. The reduced mass is the mass loss of each particle group after destruction.

[0059] In step S102, a probability distribution matrix is ​​determined based on the original particle size and the expected particle size of each particle group. The expected particle size is the particle size expected to be generated after the original particle size is destroyed. The present application aims to use the distribution concept of fractal distribution to sequentially calculate the probability that a particle with the largest particle size can be divided into particles of each smaller size. Similarly, the probability that particles of all particle sizes can be divided into particles of each smaller size is calculated, thereby realizing the decomposition of all particles of the original particle size in the particle group after being subjected to energy input from the rockfill.

[0060] The probability distribution matrix is ​​composed of the corresponding relationship between the mass of the particles to be distributed and the mass of the original particles, wherein the mass of the particles to be distributed includes the mass of particles of various different particle sizes expected to be generated after each particle group is destroyed. The present invention aims to redistribute the mass of particles of various different particle sizes expected to be generated after destruction so as to re-count the mass of particles in each particle group. Therefore, the sum of the corresponding relationship between the mass of the particles to be distributed and the mass of the original particles is reflected in the probability distribution matrix.

[0061] In step S103, the mass of particles to be allocated corresponding to each particle group is determined based on the probability allocation matrix and the original particle mass of each particle group. In a preferred embodiment, for example, the particle sizes of the particle groups are arranged from large to small and are divided into L5, L4, L3, L2, and L1. Then, after one energy input, L5 is broken down into multiple L4s, multiple L2s, and multiple L1s. The mass of particles to be allocated corresponding to each particle group is the mass of multiple L4s, the mass of multiple L2s, and the mass of multiple L1s. These mass of particles to be allocated will be allocated to the corresponding particle groups in the specific implementation methods described later.

[0062] In step S104, those skilled in the art will understand that the original particle mass of each particle group, after subtracting the lost mass, is then added to the mass of the particles to be allocated of the corresponding particle group to obtain the final particle mass of the particle group. By analyzing the particle mass of each particle group, the gradation composition of the input energy of the target rockfill body can be determined.

[0063] The present invention first determines the post-destruction mass loss of each particle group based on the target rockfill input energy. It then determines the corresponding to-be-allocated particle mass for each particle group based on the probability distribution matrix determined by the original and expected particle sizes of each particle group, as well as the original particle mass of each particle group. Finally, the to-be-allocated particle mass, original particle mass, and mass loss of each particle group are calculated and analyzed to determine the gradation composition of the target rockfill input energy. This method, unlike traditional pit measurement methods for gradation determination, enables rapid nondestructive testing, precise measurement, and saves time and effort. It is applicable to various complex environments, accelerating construction progress and improving efficiency.

[0064] Figure 2 The present invention provides a flow chart of determining the mass loss of each particle group after destruction. The process of determining the mass loss of each particle group after destruction based on the target rockfill body input energy includes:

[0065] determining a probability of failure of each particle group based on the target rockfill input energy, the particle size of each particle group, the particle size at which particles fail under a first preset threshold, the input energy at which particles fail under the first preset threshold, a size effect parameter, and a Weibull distribution;

[0066] The mass loss of each particle group after destruction is determined based on the probability of destruction of each particle group and the original particle mass of each particle group.

[0067] In step S1011, the probability of each particle group being damaged is determined based on the target rockfill input energy, the particle size of each particle group, the particle size at which particles are damaged under a first preset threshold, the input energy at which particles are damaged under the first preset threshold, the size effect parameter, and the Weibull distribution.

[0068] During the rolling process, as the number of rolling passes increases, the crushing of the rockfill body also intensifies. The prior art proposes that for granular rock materials such as rockfill, the probability of particle group failure obeys the Weibull distribution. Based on this concept, under a certain level of energy input, it can be expressed by formula (1):

[0069]

[0070] In formula (1), P f is the probability of failure of each particle group; d and E are the particle size of each particle group and the input energy of the target rockfill, respectively; d0 and E0 are the particle size at which particles fail under the first preset threshold and the input energy at which particles fail under the first preset threshold, respectively; m is the Weibull modulus; and r is the size effect parameter.

[0071] In step S1012, the mass loss of each particle group after destruction is determined based on the probability of destruction of each particle group and the original particle mass of each particle group. Under a certain level of compaction energy input, the initial masses of each particle group in the target rockfill body are M and M, respectively. 0，i , i takes values ​​of 1, 2…12, then the mass loss M of each particle group after destruction is 1，i It can be expressed as:

[0072] M 1,i =P f ·M 0,i (2)

[0073] In formula (2), M 1,i Indicates the mass loss of each particle group after destruction, P f represents the probability of destruction of each particle group; M 0,i Indicates the initial mass of each particle group in the target rockfill body.

[0074] Figure 3 : is a flow chart of determining a probability distribution matrix provided by the present invention, wherein determining the probability distribution matrix based on the original particle size and the expected particle size of each particle group includes:

[0075] Determine the fractal dimension based on sieving tests;

[0076] A probability distribution matrix is ​​determined based on the fractal dimension, the original particle size, and the expected particle size.

[0077] In step S1021, screening is a method of separating particle groups based on powder properties such as particle size, specific gravity, charge, and magnetism. Using a perforated sieve to separate mixed materials of varying particle sizes into various size classes is called screening. Fractal dimension is a measure of the irregularity of complex shapes, reflecting the effectiveness of the space occupied by the fractal shapes. The complex morphology of atmospheric particulate matter with statistically self-similar fractal structures can be represented by fractal dimension. Fractal dimension reflects the uniformity of the particle group's composition, effectively characterizing the overall size distribution of the particle group and directly related to physical properties such as the particle surface area.

[0078] In step S1022, the probability distribution matrix can be obtained by the following formula:

[0079]

[0080] In formula (3), P ij is the probability allocation matrix, D is the fractal dimension, d is the original particle size, and the probability allocation matrix will be used to determine the particle mass to be allocated corresponding to each particle group in conjunction with the original particle mass of each particle group.

[0081] Those skilled in the art will appreciate that, in conjunction with step S103, for the mass M of the particles to be distributed 2,i , can be calculated by the following formula:

[0082]

[0083] Where M1,i is the original particle mass of each particle group, M 2，i The mass of particles to be allocated corresponding to each particle group, i takes the value of 1, 2...12, that is, 12 particles with different particle sizes are selected as the research objects in formula (4).

[0084] Figure 4 The present invention provides a flow chart of determining the gradation composition of the target rockfill body input energy. The gradation composition of the target rockfill body input energy is determined based on the mass of the to-be-allocated particles, the mass of the original particles, and the mass loss of each particle group. The process includes:

[0085] Determine the mass of particles after redistribution of each particle group based on the mass of particles to be distributed, the mass of original particles, and the lost mass of each particle group;

[0086] The gradation composition of the target rockfill input energy is determined based on the redistributed particle mass.

[0087] In step S1041, the mass of particles in each particle group after redistribution is determined by the following formula:

[0088] M3,i =M 0,i -M 1,i +M 2,i (5)

[0089] In formula (5), M 3，i The mass of particles after redistribution for each particle group, M1,i is the original mass of particles for each particle group, M 2，i The mass of particles to be allocated corresponding to each particle group, M 0，i is the original particle mass.

[0090] In step S1042, since gradation refers to the distribution of aggregate particles of different sizes, theoretically, a greater number of rolling cycles results in a higher density of the dam, but also a greater likelihood of particle destruction and crushing, thereby affecting the gradation of the rockfill. In combination with the technical solution described in the present invention, after energy is input based on the target rockfill, each particle group will split into smaller particle groups, thereby changing the mass of each particle group and, in turn, the gradation of the rockfill.

[0091] Figure 5 This is a second flow diagram of a gradation determination method provided by the present invention. Before determining the mass loss of each particle group after destruction based on the input energy of the target rockfill body, the method further includes:

[0092] The target rockfill body input energy is determined based on the dry density of the target rockfill body.

[0093] The present invention can determine the density by the added mass method to obtain the current input energy of the rockfill body after a certain number of rolling passes.

[0094] For different rolling times, the measured dry density ρ of the target rockfill d and the target rockfill input energy E, can be better described by a hyperbola:

[0095]

[0096] In formula (6), E is the input energy of the target rockfill body, a, b and c are fixed parameters; ρ d is the dry density of the target rockfill body.

[0097] like Figure 5 As shown, the present invention also includes:

[0098] rolling the target rockfill body multiple times to obtain the dry density of the target rockfill body each time;

[0099] The gradation composition of each target rockfill body is determined based on the dry density of each target rockfill body.

[0100] In step S201, during the construction process, the present invention rolls the target rockfill body over and over again, and after each rolling, the dry density of the target rockfill body is obtained based on the added mass method.

[0101] In step S202, target rockfill body input energy is obtained based on the dry density of the target rockfill body, and the gradation composition of the target rockfill body input energy is determined by combining the target rockfill body input energy with steps S101 to S104.

[0102] In a preferred embodiment, the present invention aims to test the maximum degree of gradation control and rolling pass control of the rockfill body during the rolling process, thereby improving the density of the dam body to the greatest extent possible while ensuring that the particles are not extensively damaged or crushed. That is, when the gradation composition of the target rockfill body exceeds a second preset threshold, the rolling of the target rockfill body is stopped.

[0103] Figure 6 This is a schematic diagram of the structure of a gradation measuring device provided by the present invention. Figures 1 to 5 The gradation determination method described in the embodiment of the present invention realizes the determination of the gradation composition after energy input, including:

[0104] The first determining device 1 determines the mass loss of each particle group after destruction based on the target rockfill body input energy. The specific working principle of the first determining device can refer to the aforementioned step S101. The first determining device can be a calculation module for calculating the mass loss of each particle group after destruction.

[0105] The gradation determination device also includes a second determination device 2: determining a probability distribution matrix based on the original particle size and expected particle size of each particle group. The specific working principle of the second determination device 2 can refer to the aforementioned step S102, which may include an analysis module and a calculation module for analyzing the expected particle size and calculating the mass loss of each particle group after destruction.

[0106] The gradation determination device also includes a third determination device 3: based on the probability distribution matrix and the original particle mass of each particle group, the mass of the particles to be allocated corresponding to each particle group is determined. The specific working principle of the third determination device 3 can refer to the aforementioned step S103, which may include a calculation module and a processing module for calculating and processing the mass of the particles to be allocated corresponding to each particle group.

[0107] The gradation determination device further includes a fourth determination device 4 for determining the gradation composition of the target rockfill input energy based on the mass of the to-be-allocated particles, the mass of the original particles, and the lost mass of each particle group. The specific working principle of the fourth determination device 4 can be referred to the aforementioned step S104. The fourth determination device 4 may include a calculation module and a statistical module for calculating and statistically analyzing the gradation composition of the target rockfill input energy.

[0108] The present invention first determines the post-destruction mass loss of each particle group based on the target rockfill input energy. It then determines the corresponding to-be-allocated particle mass for each particle group based on the probability distribution matrix determined by the original and expected particle sizes of each particle group, as well as the original particle mass of each particle group. Finally, the to-be-allocated particle mass, original particle mass, and mass loss of each particle group are calculated and analyzed to determine the gradation composition of the target rockfill input energy. This method, unlike traditional pit measurement methods for gradation determination, enables rapid nondestructive testing, precise measurement, and saves time and effort. It is applicable to various complex environments, accelerating construction progress and improving efficiency.

[0109] Figure 7 Schematic diagram of the structure of the electronic device provided by the present invention, such as Figure 7 As shown, the electronic device may include: a processor 310, a communications interface 320, a memory 330, and a communications bus 340. The processor 310, the communications interface 320, and the memory 330 communicate with each other via the communications bus 340. The processor 310 may invoke logic instructions in the memory 330 to execute a gradation determination method, which includes: determining the mass loss of each particle group after destruction based on the target rockfill input energy; determining a probability distribution matrix based on the original particle size and expected particle size of each particle group; determining the to-be-allocated particle mass corresponding to each particle group based on the probability distribution matrix and the original particle mass of each particle group; and determining the gradation composition of the target rockfill input energy based on the to-be-allocated particle mass, the original particle mass, and the mass loss of each particle group.

[0110] In addition, the logic instructions in the above-mentioned memory 330 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0111] On the other hand, the present invention further provides a computer program product, comprising a computer program, which may be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer is capable of executing a gradation determination method provided by the aforementioned methods, the method comprising: determining the mass loss after destruction of each particle group based on the target rockfill input energy; determining a probability distribution matrix based on the original particle size and the expected particle size of each particle group; determining the to-be-allocated particle mass corresponding to each particle group based on the probability distribution matrix and the original particle mass of each particle group; and determining the gradation composition of the target rockfill input energy based on the to-be-allocated particle mass, the original particle mass, and the mass loss of each particle group.

[0112] In yet another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the gradation determination method provided by the above-mentioned methods, comprising: determining the mass loss of each particle group after destruction based on the target rockfill input energy; determining a probability distribution matrix based on the original particle size and the expected particle size of each particle group; determining the particle mass to be distributed corresponding to each particle group based on the probability distribution matrix and the original particle mass of each particle group; and determining the gradation composition of the target rockfill input energy based on the particle mass to be distributed, the original particle mass, and the mass loss of each particle group.

[0113] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0114] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, or of course, by hardware. Based on this understanding, the essence of the above technical solution or the part that contributes to the existing technology can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or certain parts of the embodiments.

[0115] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A gradation determination method, characterized in that: include: Rolling the target rockfill body multiple times to obtain the dry density of the target rockfill body each time; The target rockfill body input energy is determined based on the dry density of each target rockfill body. The target rockfill body input energy is determined by the following formula: Where E is the input energy of the target rockfill body, ρ d is the dry density of the target rockfill body, a, b and c are fixed parameters; determining the mass loss of each particle group after destruction based on the input energy of the target rockfill body; determining a probability allocation matrix based on the original particle size and the expected particle size of each particle group; Determine the mass of particles to be allocated corresponding to each particle group based on the probability allocation matrix and the original particle mass of each particle group; Based on the mass of the particles to be allocated, the mass of the original particles and the lost mass of each particle group, the gradation composition of the energy input of each target rockfill body is determined; The target rockfill body is composed of a plurality of particle groups of different particle sizes; The expected particle size is the particle size expected to be generated after the original particle size is destroyed; The probability allocation matrix is ​​composed of the corresponding relationship between the mass of the particles to be allocated and the mass of the original particles; The mass of particles to be distributed includes the mass of particles of various sizes expected to be generated after each particle group is destroyed; The step of determining the mass loss of each particle group after destruction based on the target rockfill body input energy includes: determining a probability of failure of each particle group based on the target rockfill input energy, the particle size of each particle group, the particle size at which particles fail under a first preset threshold, the input energy at which particles fail under the first preset threshold, a size effect parameter, and a Weibull distribution; The mass loss of each particle group after destruction is determined based on the probability of destruction of each particle group and the original particle mass of each particle group.

2. The gradation determination method according to claim 1, wherein The method of determining a probability distribution matrix based on the original particle size and the expected particle size of each particle group includes: Determine the fractal dimension based on sieving tests; A probability distribution matrix is ​​determined based on the fractal dimension, the original particle size, and the expected particle size.

3. The gradation determination method according to claim 1, wherein The step of determining the gradation composition of each target rockfill body input energy based on the mass of the particles to be allocated, the mass of the original particles, and the mass lost of each particle group includes: Determine the mass of particles after redistribution of each particle group based on the mass of particles to be distributed, the mass of original particles, and the lost mass of each particle group; The gradation composition of each target rockfill input energy is determined based on the redistributed particle mass.

4. The gradation determination method according to claim 1, wherein When the gradation composition of the target rockfill body exceeds a second preset threshold, the rolling of the target rockfill body is stopped.

5. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the gradation determination method according to any one of claims 1 to 4 is implemented.

6. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the gradation determination method according to any one of claims 1 to 4 is implemented.

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