Method and system for calculating rock content of accumulation slope model, and method for constructing accumulation slope model

Abstract

The present invention discloses a method and system for calculating the stone content of an accumulation slope model, and a method for constructing an accumulation slope model, comprising: first, constructing a simulation model according to the size of the accumulation slope model, and dividing the simulation model into grids according to the production area of ​​the accumulation slope model. Then, a stone content random field is generated based on the spatial variability characterization parameters of the accumulation slope model. Thereafter, the stone content random field is mapped to the simulation grid model to determine the stone content values ​​corresponding to different production areas. Then, soil-rock mixture samples of different production areas are produced based on the stone content values, and the complex spatial variability of the material composition of the accumulation model is characterized by the difference in stone content. Finally, the soil-rock mixture samples are sequentially filled in the model box according to the position of the production area to form an accumulation slope model that fully considers the complex spatial variation characteristics of the accumulation body, thereby providing a basis for rainfall instability testing.

Description

Technical Field

[0001] The present invention relates to the technical field of mechanical material testing, and in particular to a method and system for calculating the stone content of an accumulation body slope model, and a method for constructing the accumulation body slope model. Background Art

[0002] Accumulation slopes are a common geological structure used in mountainous engineering projects. They are highly susceptible to instability under rainfall, with frequent and persistent failures that can cause significant damage, even resulting in significant loss of life and property. Therefore, in-depth research on the mechanisms of rainfall-induced instability in accumulation slopes is of great significance for disaster prevention and mitigation in mountainous areas.

[0003] Due to the influence of the formation mechanism, the material composition of the deposit has complex spatial variability, that is, the material composition at one location is different from that at other locations, but there is a certain correlation. This property has a significant impact on the stability and failure mode of the deposit slope under rainfall.

[0004] Currently, existing model test research focuses on homogeneous, isotropic deposits. However, there is a lack of experimental methods for the complex spatial variability of the material composition of deposits. Therefore, a method for testing the rainfall instability of deposit slopes that takes into account the complex spatial variability of material composition is urgently needed. Summary of the Invention

[0005] To address the shortcomings of existing technologies, the present invention proposes a method and system for calculating the rock content of an accumulation slope model, as well as a method for constructing an accumulation slope model, which fully considers the complex spatial variation characteristics of the accumulation. The specific technical solution is as follows:

[0006] In a first aspect, a method for calculating the rock content of an accumulation slope model is provided. In a first possible implementation of the first aspect, the method includes:

[0007] Constructing a simulation model corresponding to the accumulation body slope model, and dividing the simulation model into grids according to the production area of ​​the accumulation body slope model to obtain a corresponding simulation grid model;

[0008] Obtaining spatial variability characterization parameters corresponding to the accumulation body slope model, and generating a rock content random field based on the spatial variability characterization parameters;

[0009] The rock content random field is mapped to the simulation grid model to obtain the rock content value of each grid area in the simulation grid model.

[0010] In combination with the first implementable manner of the first aspect, in a second implementable manner of the first aspect, constructing a simulation model corresponding to the accumulation body slope model includes:

[0011] The geometric shape of the accumulation slope model required for the slope rainfall instability test is obtained, and the simulation model is constructed according to the geometric shape.

[0012] In combination with the first implementable manner of the first aspect, in a third implementable manner of the first aspect, obtaining the spatial variability characterization parameter corresponding to the accumulation body slope model includes:

[0013] The spatial variability characterization parameters are determined according to the genetic type corresponding to the accumulation slope model.

[0014] In combination with the first implementable manner of the first aspect, in a fourth implementable manner of the first aspect, generating a stone content random field according to the spatial variability characterization parameter includes using the following function to control the generation of the stone content random field:

[0015] ;

[0016] in, 、 Represents the relative distance between any two points in space. 、 Respectively represent the maximum / minimum fluctuation range, Indicates the angle between the maximum fluctuation range and the minimum fluctuation range. Indicates the overall rotation angle of the coordinate system composed of the maximum fluctuation range and the minimum fluctuation range.

[0017] In a second aspect, a method for constructing a slope model of an accumulation body is provided. In a first possible implementation of the second aspect, the method includes:

[0018] Using the stone content calculation method described in any one of the first to fourth possible implementations of the first aspect to obtain the stone content value of each grid area;

[0019] Prepare mixed samples corresponding to each sub-region in the accumulation slope model according to the corresponding rock content value;

[0020] The corresponding mixed samples are filled layer by layer according to the positions of the sub-areas to form the accumulation slope model.

[0021] In combination with the first implementable method of the second aspect, in the second implementable method of the second aspect, a mixed sample corresponding to the sub-area is prepared according to the stone content value, including: setting the moisture content of the mixed sample according to the actual situation of the slope.

[0022] In combination with the first implementable method of the second aspect, in a third implementable method of the second aspect, the mixed sample is filled into the said accumulation slope model, including: controlling the compaction degree of the mixed sample during filling according to the actual situation of the slope.

[0023] In combination with the first implementable manner of the second aspect, in a fourth implementable manner of the second aspect, filling the mixed sample into the accumulation slope model includes:

[0024] According to the slope angle corresponding to the geometric shape of the accumulation slope model, the redundant soil in the filled accumulation slope model is removed.

[0025] In a third aspect, a system for calculating the rock content of an accumulation slope model is provided, comprising:

[0026] A model construction module is configured to construct a simulation model corresponding to the accumulation body slope model, and to grid the simulation model according to the production area of ​​the accumulation body slope model to obtain a corresponding simulation grid model;

[0027] A random field generation module is configured to obtain spatial variability characterization parameters corresponding to the accumulation body slope model and generate a rock content random field according to the spatial variability characterization parameters;

[0028] The stone content calculation module is configured to map the stone content random field to the simulation grid model to obtain the stone content value of each grid area in the simulation grid model.

[0029] Beneficial effect: By adopting the stone content calculation method and system of the deposit slope model and the method for constructing the deposit slope model of the present invention, the stone content values ​​of different sub-regions in the deposit slope model can be determined by mapping the stone content random field generated based on the spatial variability characterization parameters of the deposit slope model to a simulation grid model of the same size as the deposit slope model, thereby establishing a connection between each sub-region of the deposit slope model and the soil-rock mixture with different stone content, and approximately characterizing the complex spatial variability of the material composition of the deposit model through the difference in stone content. The deposit slope model thus made fully considers the complex spatial variation characteristics of the deposit, and provides a basis for the rainfall instability test method of the deposit slope. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the specific embodiments of the present invention, the following briefly introduces the drawings required for use in the specific embodiments. In all the drawings, each element or part is not necessarily drawn according to the actual scale.

[0031] Figure 1 A flow chart of a method for calculating the rock content of an accumulation slope model provided by one embodiment of the present invention;

[0032] Figure 2 A flowchart of a method for constructing a slope model of an accumulation body provided by one embodiment of the present invention;

[0033] Figure 3This is a system block diagram of a system for calculating the rock content of an accumulation slope model provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0034] The following embodiments of the technical solution of the present invention will be described in detail with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention and are therefore only examples and are not intended to limit the scope of protection of the present invention.

[0035] like Figure 1 The flowchart of the method for calculating the rock content of the accumulation slope model shown in FIG. 1 includes:

[0036] Step 1: constructing a simulation model corresponding to the accumulation slope model, and dividing the simulation model into grids according to the production area of ​​the accumulation slope model to obtain a corresponding simulation grid model;

[0037] Step 2: obtaining spatial variability characterization parameters corresponding to the accumulation body slope model, and generating a rock content random field according to the spatial variability characterization parameters;

[0038] Step 3: Map the rock content random field to the simulation grid model to obtain the rock content value of each grid area in the simulation grid model.

[0039] Specifically, first, a simulation model can be constructed in simulation software, such as FLAC3D numerical software, according to the size of the accumulation slope model required for the rainfall instability test of the accumulation slope, and the simulation model can be gridded according to the production area of ​​the accumulation slope model to determine the grids corresponding to different production areas. Then, based on the spatial variability characterization parameters corresponding to the accumulation slope model, a random field of stone content that is adapted to the size of the accumulation slope model can be generated using random theory. Finally, the generated stone content random field can be mapped to the simulation grid model to determine the stone content values ​​corresponding to different grid areas in the simulation grid model, that is, the stone content values ​​corresponding to different production areas in the accumulation slope model, providing data support for the subsequent production of an accumulation slope model that fully considers the complex spatial variation characteristics of the accumulation.

[0040] When constructing a cumulate slope model, soil-rock mixture samples can be prepared from different areas of the cumulate slope model based on the calculated rock content. This difference in rock content can be used to approximate the complex spatial variability of the cumulate model's material composition. By sequentially placing the prepared soil-rock mixture samples in the model box according to the locations of the production areas, a cumulate slope model can be constructed that fully accounts for the complex spatial variability of the cumulate, providing a foundation for cumulate slope rainfall instability testing.

[0041] In this embodiment, optionally, constructing a simulation model corresponding to the accumulation body slope model includes:

[0042] The geometric shape of the accumulation slope model required for the slope rainfall instability test is obtained, and the simulation model is constructed according to the geometric shape.

[0043] Specifically, when constructing a simulation model, it is first necessary to determine the slope rainfall instability condition with spatially varying material composition for the desired test, and determine the geometry of the accumulation slope model under this condition, including the base-cover interface inclination and the cut slope gradient. Based on this geometry, a simulation model consistent with the accumulation slope model is then constructed using simulation software. This allows the subsequent conversion of the rock content random field generated using stochastic theory into the spatially varying distribution of the accumulation material composition for the accumulation slope model.

[0044] In this embodiment, optionally, obtaining the spatial variability characterization parameter corresponding to the accumulation body slope model includes: determining the spatial variability characterization parameter according to the genetic type corresponding to the accumulation body slope model.

[0045] Specifically, the spatial distribution of material composition in deposits of different genetic mechanisms differs significantly. For example, the stone content of granular material in residual deposits increases gradually with depth, while that of landslide deposits has an inverse grain order structure. Therefore, deposits of different genetic types inevitably exhibit different stability and failure modes under rainfall conditions. To this end, when generating a random field for stone content, spatial variability characterization parameters can be determined based on the genetic type of the deposit slope simulated in this experiment. This can determine the stone content values ​​in different production areas of deposit slope models formed by different genetic mechanisms, thereby providing data support for the production of deposit slope models of different genetic mechanisms.

[0046] Parameters characterizing spatial variability include the maximum / minimum fluctuation range, the angle between the maximum / minimum fluctuation directions, and the overall rotation angle of the coordinate system formed by the maximum / minimum fluctuation range. The maximum / minimum fluctuation range characterizes the scale of spatial variability, the angle between the maximum / minimum fluctuation directions characterizes the anisotropy of spatial variability, and the overall rotation angle of the coordinate system formed by the maximum / minimum fluctuation range defines the orientation of the coordinate system formed by the maximum / minimum fluctuation directions relative to the global coordinate system.

[0047] According to the actual genetic type of the accumulation slope, 5-10m long survey lines can be laid out along the horizontal direction, vertical depth direction, parallel to the rock stratum deposition direction and vertical to the rock stratum deposition direction. On-site screening tests can be carried out at intervals of 0.5m on each survey line. The maximum / minimum fluctuation range in different directions, the directional angle of the maximum / minimum fluctuation range and the overall rotation angle of the coordinate system composed of the maximum / minimum fluctuation range can be determined using geological statistical methods.

[0048] Because the actual slope scale is much larger than the model test scale, the above spatial variability parameters can be scaled according to the similarity ratio principle when applied to the model test. This scaling process yields the corresponding spatial variability characterization parameters in the model test (i.e., the scaled maximum / minimum fluctuation range, direction angle, and rotation angle).

[0049] In this embodiment, optionally, generating a random field of stone content according to the spatial variability characterization parameter includes using the following function to control the generation of the random field of stone content:

[0050] ;

[0051] in, 、 Represents the relative distance between any two points in space. 、 Respectively represent the maximum / minimum fluctuation range, Indicates the angle between the maximum fluctuation range and the minimum fluctuation range. Indicates the overall rotation angle of the coordinate system composed of the maximum fluctuation range and the minimum fluctuation range.

[0052] Specifically, the overall rotation angle Angle with direction It is a comprehensive directional variation index that can accurately and quantitatively evaluate the structure and direction of the accumulation body. It can be coordinated with the inclination angle of the base and cover interface of the slope of the accumulation body. The maximum fluctuation range direction can be controlled. Combined with the overall rotation angle Angle with direction It can comprehensively describe various types of spatial variability of accumulation bodies and realize the parametric representation of the spatial variability of material composition of accumulation bodies of different genetic types.

[0053] like Figure 2 The flowchart of the method for constructing the accumulation slope model shown in FIG. 1 includes:

[0054] Step S1: using the above-mentioned stone content calculation method to obtain the stone content value of each grid area;

[0055] Step S2: preparing mixed samples corresponding to each sub-region in the accumulation slope model according to the corresponding rock content value;

[0056] Step S3: Fill the corresponding mixed samples layer by layer according to the positions of the sub-areas to form the accumulation slope model.

[0057] Specifically, first, based on the simulated slope rainfall instability conditions and the type of slope accumulation genesis in this test, the aforementioned calculation method can be used to determine the rock content values ​​corresponding to different grid areas in the simulation grid model. This means the rock content values ​​corresponding to the different sub-areas of the accumulation slope model. Then, soil-rock mixed samples can be prepared for each sub-area according to the calculated rock content values. Finally, the soil-rock mixed samples from each sub-area are placed into the model box in order from bottom to top, ultimately forming an accumulation slope model that fully accounts for the complex spatial variation of the accumulation, providing a foundation for the accumulation slope rainfall instability test.

[0058] In this embodiment, the soil-rock mixed sample can be prepared using sand with a particle size of less than 2 mm and crushed stone with particle sizes of 2-5 mm, 5-10 mm, 10-20 mm, and 20-30 mm, respectively, with the crushed stone soil particle ratio being 4:3:2:1. In this embodiment, the stone content refers to the proportion of soil particles with a particle size greater than 2 mm.

[0059] In this embodiment, optionally, preparing a mixed sample corresponding to a sub-region according to the rock content value includes: setting the water content of the mixed sample according to the actual situation of the slope.

[0060] Specifically, the moisture content of the slope simulated by the test can be obtained through field measurement, and when preparing the mixed sample, the moisture content of the mixed sample can be set according to the actual situation of the slope simulated by the test.

[0061] In this embodiment, optionally, filling the mixed sample into the accumulation slope model includes: controlling the compaction degree of the mixed sample during filling according to the actual situation of the slope.

[0062] Specifically, the compaction degree of different areas of the slope simulated by the test can be obtained through field measurements, and when filling the mixed sample, the compaction degree of the filled mixed sample can be controlled according to the actual situation of the slope simulated by the test, so that the prepared accumulation slope model is more in line with the actual situation.

[0063] In this embodiment, optionally, filling the mixed sample into the accumulation slope model includes:

[0064] According to the slope angle corresponding to the geometric shape of the accumulation slope model, the redundant soil in the filled accumulation slope model is removed.

[0065] Specifically, after filling all the mixed samples, the excess soil in the filled deposit slope model can be cut off according to the slope angle corresponding to the geometric shape of the deposit slope model, thereby forming an deposit slope model that takes into account the spatial variability of material composition.

[0066] like Figure 3 The system block diagram of the rock content calculation system of the accumulation slope model shown in FIG. 1 includes:

[0067] A model construction module is configured to construct a simulation model corresponding to the accumulation body slope model, and to grid the simulation model according to the production area of ​​the accumulation body slope model to obtain a corresponding simulation grid model;

[0068] A random field generation module is configured to obtain spatial variability characterization parameters corresponding to the accumulation body slope model and generate a rock content random field according to the spatial variability characterization parameters;

[0069] The stone content calculation module is configured to map the stone content random field to the simulation grid model to obtain the stone content value of each grid area in the simulation grid model.

[0070] Specifically, the calculation system consists of a model construction module, a random field generation module, and a stone content calculation module. The model construction module can use simulation software to construct a simulation model according to the size of the accumulation slope model required for the rainfall instability test of the accumulation slope, and divide the simulation model into grids according to the production area of ​​the accumulation slope model, thereby determining the grids corresponding to different production areas. The random field generation module can use random theory to generate a stone content random field that is adapted to the size of the accumulation slope model based on the spatial variability characterization parameters corresponding to the accumulation slope model. The stone content calculation module can map the generated stone content random field to the simulation grid model, thereby determining the stone content values ​​corresponding to different production areas in the accumulation slope model, providing data support for the subsequent production of an accumulation slope model that fully considers the complex spatial variability characteristics of the accumulation.

[0071] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. 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 or all of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and description of the present invention.

Claims

1. A method for calculating the rock content of an accumulation slope model, characterized in that: include: Constructing a simulation model corresponding to the accumulation body slope model, and dividing the simulation model into grids according to the production area of ​​the accumulation body slope model to obtain a corresponding simulation grid model; Obtain the spatial variability characterization parameters corresponding to the accumulation slope model, and generate a rock content random field based on the spatial variability characterization parameters. Use the following function to control the generation of the rock content random field: ； in, 、 Represents the relative distance between any two points in space. 、 Respectively represent the maximum / minimum fluctuation range, Indicates the angle between the maximum fluctuation range and the minimum fluctuation range. Indicates the overall rotation angle of the coordinate system composed of the maximum fluctuation range and the minimum fluctuation range; The rock content random field is mapped to the simulation grid model to obtain the rock content value of each grid area in the simulation grid model.

2. The method for calculating the rock content of a pile slope model according to claim 1, wherein: Constructing a simulation model corresponding to the accumulation slope model, including: The geometric shape of the accumulation slope model required for the slope rainfall instability test is obtained, and the simulation model is constructed according to the geometric shape.

3. The method for calculating the rock content of a pile slope model according to claim 1, wherein: Obtaining the spatial variability characterization parameters corresponding to the accumulation slope model, including: The spatial variability characterization parameters are determined according to the genetic type corresponding to the accumulation slope model.

4. A method for constructing a slope model of an accumulation body, characterized in that: include: Using the stone content calculation method according to any one of claims 1 to 3, the stone content value of each grid area is obtained; Prepare mixed samples corresponding to each sub-region in the accumulation slope model according to the corresponding rock content value; The corresponding mixed samples are filled layer by layer according to the positions of the sub-areas to form the accumulation slope model.

5. The method for constructing a pile slope model according to claim 4, wherein: A mixed sample corresponding to the sub-area is prepared according to the rock content value, including: setting the moisture content of the mixed sample according to the actual situation of the slope.

6. The method for constructing a pile slope model according to claim 4, wherein: Filling the mixed sample into the accumulation slope model includes: controlling the compaction degree of the mixed sample during filling according to the actual situation of the slope.

7. The method for constructing a pile slope model according to claim 4, wherein: Filling the mixed sample into the accumulation slope model, comprising: According to the slope angle corresponding to the geometric shape of the accumulation slope model, the redundant soil in the filled accumulation slope model is removed.

8. A system for calculating the rock content of an accumulation slope model, characterized in that: include: A model construction module is configured to construct a simulation model corresponding to the accumulation body slope model, and to grid the simulation model according to the production area of ​​the accumulation body slope model to obtain a corresponding simulation grid model; The random field generation module is configured to obtain the spatial variability characterization parameters corresponding to the accumulation body slope model, and generate a rock content random field based on the spatial variability characterization parameters, and use the following function to control the generation of the rock content random field: ； in, 、 Represents the relative distance between any two points in space. 、 Respectively represent the maximum / minimum fluctuation range, Indicates the angle between the maximum fluctuation range and the minimum fluctuation range. Indicates the overall rotation angle of the coordinate system composed of the maximum fluctuation range and the minimum fluctuation range; The stone content calculation module is configured to map the stone content random field to the simulation grid model to obtain the stone content value of each grid area in the simulation grid model.

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