Method for ordered discretization of the space geometry after a granular material pile test

Abstract

The application discloses a kind of granular material accumulation test after the ordered discrete method of space geometry, it is related to model test method field.The application is formulated the layer number, column number and row number of ordered discrete by the accumulation characteristics of granular material space geometry height, length and width;When discrete block sampling, the method of reserving protective layer thickness is used, and the attribute determination basis of staggered particle properties of segmentation interface is set;When implementing a small number of sampling measures, the discrete block morphology mainly with cuboid and prism is set to ensure the flatness and regularity of sampling interface and newly generated interface, the space geometry formed by granular material test accumulation is carried out block ordered discrete by repeating the above operation, overall implementation step is simple, operation method is simple, and the complex space geometry block of granular material accumulation can be realized discrete, and the operability and method basis for quantifying the space distribution characteristics and particle size grading curve of granular material accumulation body internal particle are laid.

Description

Technical Field

[0001] This invention relates to the field of model testing methods, specifically a method for ordered discretization of spatial geometry after a granular material stacking test. Background Technology

[0002] When granular materials in soil and rock masses are subjected to external stress, they accumulate into complex spatial geometries, such as landslide dams and colluvial deposits. The particle size distribution characteristics within these masses are difficult to quantify accurately. Therefore, physical model testing is an important method for reproducing these types of natural disasters. In physical model testing, researchers often focus on the external shape and outline of the granular material accumulation spatial geometry, using only generalized methods for segmentation based on qualitative research, such as uniformly dividing it into upper, middle, and lower parts vertically. This lacks a more detailed and in-depth analysis of the accumulation spatial geometry, and how to effectively excavate and segment the internal structure remains an exploratory stage.

[0003] Furthermore, because granular materials contain particles of varying sizes, it is not possible to neatly and regularly extract discrete blocks in physical model experiments. This raises the question of selecting appropriate sampling tools and methods for coarse-grained soils. Traditional methods such as drilling and slotting cause significant disturbance to gravelly soils, which is particularly noticeable at the segmentation surfaces. For example, if a large particle exists on the segmentation surface, should this large particle be assigned to the current discrete block or the next layer? What criteria should be used to determine the properties of the large particle? Considering the optimization of physical testing methods and the integration of small-batch, multiple-time approaches, it is necessary to seek a more suitable method for discretizing spatial geometries composed of granular materials with wide gradations and multiple particle sizes, such as gravelly soils. Summary of the Invention

[0004] The purpose of this invention is to provide a method for the ordered discretization of spatial geometry after a granular material stacking test. This method utilizes the stacking characteristics of the granular material's height, length, and width to determine the number of layers, columns, and rows for ordered discretization. During the discretization and sampling process, a reserved protective layer thickness is used, and criteria for determining the properties of large particles at the segmentation interface are established. When implementing small-batch, multiple-sampling measures, the discretization block shapes are primarily cuboids and prisms to ensure the flatness and regularity of the sampling interface and the newly generated interface. By repeating the above operations, the spatial geometry formed by the granular material stacking test can be discretized in an ordered manner, thus solving the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a method for ordered discretization of spatial geometry after a granular material packing test, comprising at least the following steps:

[0006] S1: Ordered discrete sequence, which is carried out after the granular material packing test is completed;

[0007] S2: Average block mass, determines the total mass of the spatial geometry of the granular material, and calculates the average block mass of a single discrete block based on the total number of discrete blocks;

[0008] S3: Block discretization operation;

[0009] S4: Large particle attribute determination, used to determine the ownership status of intersecting large particles on the sampling interface.

[0010] S5: The spatial geometry is discretized. Repeat the operations from S1 to S4 until the spatial geometry of the granular material stack is completely discretized and extracted.

[0011] Furthermore, the ordered discrete sequence of S1 includes at least the following steps:

[0012] The maximum particle size d of the granular material used in the experiment needs to be determined. max The minimum geometric dimension of a discrete block in spatial geometry shall not be less than 2 times d. max ;

[0013] The direction of discrete sampling is determined based on the stacking characteristics of the height, length, and width of the spatial geometry of granular materials.

[0014] Determine the number of layers, columns, and rows for the ordered discrete array, and then calculate the total number of discrete arrays in the whole.

[0015] Furthermore, in S1, the width of the spatial geometry is related to the stacking boundary in the width direction, and three partitioning methods are adopted: individual partitioning, common-face partitioning, and composite partitioning.

[0016] Furthermore, the separate partition is a discrete block that has only a single partition in the width Y direction;

[0017] The shared-face partition is defined as two discrete blocks that are adjacent in the width Y direction and share only one dividing face;

[0018] The composite partition refers to the state in which a discrete block within this region shares a dividing surface with two or more other discrete blocks in the Y direction.

[0019] Furthermore, the average mass of each block in the S2 average block mass is not less than 4 kg, and can be appropriately adjusted according to the overall mass.

[0020] Furthermore, the S3 block discretization operation includes at least the following steps: combining the stacking morphology characteristics and average block quality of the spatial geometry, performing the stacking spatial geometry discretization operation according to the discretization order, maintaining cuboids and prisms as the main components, so as to ensure the flatness and regularity of the sampling interface and the newly generated interface.

[0021] Furthermore, S4 includes at least the following steps:

[0022] (a) Reserve 1 / 3d on the segmentation interface max A protective layer of varying thickness;

[0023] (b) Remove the granular particles around large particles using a small amount and multiple times within the thickness of the protective layer. If large particles exist, retain their spatial position naturally with minimal disturbance.

[0024] (c) Use a slight stirring method to preliminarily determine the relative size of the exposed volume and the embedded volume of large particles, remove large particles whose exposed volume occupies the main body, and retain large particles whose embedded volume occupies the main body.

[0025] (d) If the large particles of the attribute cannot be determined by the method in (c), then the large particles are determined to be in an undetermined state until the particles in the protective layer are completely removed.

[0026] (e) Use the method in (c) again to determine the particle properties of the undetermined state. If the properties still cannot be determined, then classify such large particles directly into the next layer of discrete blocks.

[0027] Compared with the prior art, the beneficial effects of the present invention are:

[0028] 1. The method for discretizing the spatial geometry after a granular material packing test provided by this invention uses the maximum particle size d. max Based on the stacking characteristics of the height, length and width of the spatial geometry, a reasonable and orderly discrete order is formulated. Considering the width and stacking boundary characteristics of the spatial geometry, three partitioning methods, S1-1, S1-2 and S1-3, are set in a more refined manner in the width direction according to whether the discrete blocks share a common dividing surface, thus expanding the discrete block division method.

[0029] 2. By reserving 1 / 3d at the segmentation interface max A protective layer of varying thickness is used to determine the properties of large particles intersecting at the segmentation surface. Within the protective layer, small amounts of surrounding granular particles are removed multiple times, minimizing disturbance and naturally preserving the spatial position of the large particles. A slight manipulation technique is used to determine the relative size of the exposed and embedded volumes of the large particles. This not only preserves the natural spatial position of the large particles but also results in a smoother and neater segmentation interface. This method of particle property determination effectively avoids the problem of unclear assignment of large particles to discrete blocks.

[0030] 3. The discretization method for the spatial geometry after granular material stacking tests provided by this invention can rationally plan and arrange the order, size, and quantity of discrete blocks according to the stacking morphology. It not only solves the problem of severe disturbance to gravel (coarse) granular stacking materials caused by traditional sampling methods such as drilling and grooving, but also reasonably handles the problem of large particle extraction and attribution determination in granular materials. It restores the internal particle distribution law of the granular material stacking spatial geometry to the greatest extent, which helps to improve the scientificity and rationality of physical test methods. Attached Figure Description

[0031] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments 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.

[0032] Figure 1 This is a schematic diagram of the block-discretion of the spatial geometry after the granular material is stacked according to the present invention;

[0033] Figure 2 This is a schematic diagram illustrating the block discretization effect of the spatial stacking geometry described in this invention;

[0034] Figure 3 This is a schematic diagram illustrating the property determination of intersecting large particles on a discrete interface as described in this invention.

[0035] Figure 4 This represents the actual block division results of the granular material stacked body under different discrete times as described in this invention. Detailed Implementation

[0036] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0037] Example 1:

[0038] Please see Figure 1 A method for ordered discretization of spatial geometry after a granular material stacking test, comprising at least the following steps:

[0039] S1: Ordered discrete sequence, which is carried out after the granular material packing test is completed;

[0040] S2: Average block mass, determines the total mass of the spatial geometry of the granular material, and calculates the average block mass of a single discrete block based on the total number of discrete blocks;

[0041] S3: Block discretization operation;

[0042] S4: Large particle attribute determination, used to determine the ownership status of intersecting large particles on the sampling interface.

[0043] S5: The spatial geometry is discretized. Repeat the operations from S1 to S4 until the spatial geometry of the granular material stack is completely discretized and extracted.

[0044] The S1 ordered discrete sequence includes at least the following steps:

[0045] The maximum particle size d of the granular material used in the experiment needs to be determined. max The minimum geometric dimension (height, length, or width) of a discrete block in spatial geometry must not be less than 2 times d. max ;

[0046] Based on the stacking characteristics of the spatial geometry of granular materials (height, length, and width), determine the direction of discrete sampling (e.g., from left to right when facing the stack).

[0047] Define the number of layers (height in the Z direction), columns (length in the X direction), and rows (width in the Y direction) for ordered discreteness, and then count the total number of discrete elements in the whole.

[0048] In S1, the width of the spatial geometry is related to the stacking boundary in the width direction, and three partitioning methods are adopted: individual partitioning, common-face partitioning, and composite partitioning.

[0049] A single partition is a discrete block that has only a single partition in the width Y direction;

[0050] The shared partition consists of two discrete blocks that are adjacent in the width Y direction and share only one partitioning surface;

[0051] Composite partitioning refers to the state in which a discrete block within this region shares a dividing surface with two or more other discrete blocks in the Y direction.

[0052] The average mass of each block in S2 is not less than 4 kg, and can be adjusted appropriately according to the overall mass.

[0053] The S3 block discretization operation includes at least the following steps: combining the stacking morphology characteristics and average block quality of the spatial geometry, the stacking spatial geometry is discretized according to the discretization order, maintaining cuboids and prisms as the main types to ensure the flatness and regularity of the sampling interface and the newly generated interface.

[0054] S4 includes at least the following steps:

[0055] (a) Reserve 1 / 3d on the segmentation interface max A protective layer of varying thickness;

[0056] (b) Remove the granular particles around large particles using a small amount and multiple times within the thickness of the protective layer. If large particles exist, retain their spatial position naturally with minimal disturbance.

[0057] (c) Use a slight stirring method to preliminarily determine the relative size of the exposed volume and the embedded volume of large particles, remove large particles whose exposed volume occupies the main body, and retain large particles whose embedded volume occupies the main body.

[0058] (d) If the large particles of the attribute cannot be determined by the method in (c), then the large particles are determined to be in an undetermined state until the particles in the protective layer are completely removed.

[0059] (e) Use the method in (c) again to determine the particle properties of the undetermined state. If the properties still cannot be determined, then classify such large particles directly into the next layer of discrete blocks.

[0060] Example 2:

[0061] Please see Figure 2 Based on the above embodiment 1, this embodiment 2 mainly elaborates on the process of discretizing the dam structure of a typical granular material-stabilized landslide dam in the physical model test using the ordered spatial geometry discretization method after the granular material accumulation test. Specifically, it includes the following steps:

[0062] Step 1: Refer to Figure 2 The ordered discrete sequence of S1 is carried out after the landslide dam is formed. The maximum particle size d used in this physical experiment is... max The sample was 60mm thick and had a total mass of 150kg. The resulting landslide dam had a height (Z-axis) of 50cm, a length (Y-axis) of 40cm, and a width (X-axis) of 180cm. Facing the test deposit, the sampling direction was determined to be from left to right. The initial state exhibited a complex spatial geometry, with two side lines extending from the center outwards to the left and right. The deposit was divided into five layers, and the initial estimate for the total number of samples taken was 24–30.

[0063] During the sampling process, the accumulated particles in the segmented area are removed in small amounts and multiple times in a top-down and left-to-right order. Operators should plan the sampling surface reasonably before the sampling operation. In this embodiment, the segmentation surface for the block sampling of the accumulation body does not have the S1-3 composite partition type, but only the S1-1 single partition and the S1-2 shared surface partition types.

[0064] Step 2: Refer to Figure 2In this embodiment, the average mass of the S2 block is determined based on the total mass of the pile, which is 150 kg. Considering the quality requirements for determining the particle size distribution of coarse soil, it is recommended that the average mass of each block be no less than 4 kg, and not too large; this should be done in conjunction with the dimensional division of the pile in terms of height, length, and width. Overall, it is recommended that the maximum mass of each block should be kept within a range of twice the minimum mass.

[0065] Step 3: Refer to Figure 2 The S3 block discretization operation is to perform ordered discretization of the dam body based on the surface morphology of the accumulation body. Taking the first layer as an example, the ordered discretization process is described in detail. Considering the volume of the first layer, the number of discretizations is determined to be 3 from left to right. The dam body is divided under a sampling method of small number of times and slight perturbation, while maintaining the regularity of the segmentation interface and the newly generated interface.

[0066] Step 4: Refer to Figure 3 The S4 large particle attribute determination process employs the following method in part of the determination procedure during sampling:

[0067] S4-1 reserves 20mm (1 / 3d) on the split interface. max S4-2 A protective layer (thickness) is formed. Within the protective layer, a sampler (such as a small steel shovel) is used to gently remove the granular material by slight disturbance until the protective layer is formed. S4-3 The granular material within the protective layer thickness is continuously removed in small batches. If large particles are present, surrounding particles are removed, and the position of the large particles is naturally preserved. S4-4 A slight stirring method is used to initially determine the relative size of the exposed and embedded volumes of large particles. If the exposed volume is larger than the embedded volume, the large particle is removed; otherwise, it is retained. S4-5 If the method in S4-3 cannot determine whether a large particle is in a removed or retained state, it is marked as pending until all particles within the protective layer are completely removed. S4-6 The method in S4-7 is used again to determine the properties of the large particles in the pending state. If their properties still cannot be determined, they are directly classified into the next layer of discrete blocks.

[0068] Based on the S4 large particle property determination, the large particle properties differ at different spatial locations; in Figure 3-1 Before sampling, the thick green dashed circles indicate particles to be retained (belonging to the next layer), the solid black circles indicate particles to be removed, and the thin red circles indicate particles requiring secondary identification. After adopting identification methods S4-1 to S4-5, after removing the protective layer thickness, a new identification process is added for larger particles, which requires further classification. Figure 3-2 The large particles circled in blue in the center after sampling.

[0069] Step 5: Refer to Figure 2The S5 spatial geometry discretization is performed by repeating operations S1-S4 to spatially discretize the granular material accumulation. In this embodiment, the above discretization method was used to perform 30 discretization samplings across 5 layers on the landslide dam (see [reference]). Figure 4 As shown in the figure, the mass distribution of the discrete block is between 4.1 and 6.0 kg.

[0070] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A method for ordered discretization of spatial geometry after a granular material packing test, characterized in that: At least the following steps are included: S1: Ordered discrete sequence, which is carried out after the granular material packing test is completed; The ordered discrete sequence of S1 includes at least the following steps: The maximum particle size d of the granular material used in the experiment needs to be determined. max The minimum geometric dimension of a discrete block in spatial geometry shall not be less than 2 times d. max ; The direction of discrete sampling is determined based on the stacking characteristics of the height, length, and width of the spatial geometry of granular materials. Determine the number of layers, columns, and rows for the ordered discrete array, and then count the total number of discrete arrays in the population. S2: Average block mass, determines the total mass of the spatial geometry of the granular material, and calculates the average block mass of a single discrete block based on the total number of discrete blocks; S3: Block discretization operation; The S3 block discretization operation includes at least the following steps: combining the stacking morphology characteristics and average block quality of the spatial geometry, performing the stacking spatial geometry discretization operation according to the discretization order, keeping cuboids and prisms as the main components, so as to ensure the flatness and regularity of the sampling interface and the newly generated interface. S4: Large particle attribute determination, used to determine the ownership status of intersecting large particles on the sampling interface. The S4 includes at least the following steps: (a) Reserve 1 / 3d on the segmentation interface max A protective layer of varying thickness; (b) Remove the granular particles around the large particles in small amounts and multiple times within the thickness of the protective layer. If large particles are present, retain their spatial position naturally with minimal disturbance. (c) Use a slight stirring method to preliminarily determine the relative size of the exposed volume and the embedded volume of large particles, remove large particles whose exposed volume accounts for the majority, and retain large particles whose embedded volume accounts for the majority; (d) If the large particles of the attribute cannot be determined by the method in (c), then the large particles are determined to be in an undetermined state until the particles in the protective layer are completely removed. (e) Use the method in (c) again to determine the particle properties of the undetermined state. If the properties still cannot be determined, then classify such large particles directly into the next layer of discrete blocks. S5: The spatial geometry is discretized. Repeat the operations from S1 to S4 until the spatial geometry of the granular material stack is completely discretized and extracted.

2. The method for ordered discretization of spatial geometry after a granular material packing test according to claim 1, characterized in that: In S1, the width of the spatial geometry is related to the stacking boundary in the width direction, and three partitioning methods are adopted: individual partitioning, common-face partitioning, and composite partitioning.

3. The method for ordered discretization of spatial geometry after a granular material packing test according to claim 2, characterized in that: The separate partition is a discrete block that has only a single partition in the width Y direction; The shared-face partition is defined as two discrete blocks that are adjacent in the width Y direction and share only one dividing face; The composite partition refers to the state in which a discrete block within this region shares a dividing surface with two or more other discrete blocks in the Y direction.

4. The method for ordered discretization of spatial geometry after a granular material packing test according to claim 3, characterized in that: The average mass of each block in the S2 average block mass is not less than 4 kg, and can be adjusted appropriately according to the overall mass.

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