Rock mass model manufacturing method based on 3D printing
By obtaining rock mass survey data and using Monte Carlo stochastic generation method to construct a three-dimensional model, the problems of low degree of automation and poor accuracy of rock mass model preparation in traditional methods are solved, and high-precision rock mass model preparation and variability environmental complex are achieved. Now, reliable technical support is provided for the project.
Patent Information
- Application Number
- CN202411277195.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-12
- Publication Date
- 2024-12-13
AI Technical Summary
The existing traditional physical simulation methods are low in automation, time-consuming and labor-intensive, uniform and accurate when preparing rock mass models, and cannot reproduce the spatial variability, discontinuity and complex structural surfaces of natural rock mass, making it difficult to apply to large models. scale.
By obtaining rock mass survey data, extracting physical and mechanical parameters and establishing an autocorrelation model, a three-dimensional model is constructed using Monte Carlo stochastic generation method, and 3D printing is performed in combination with numerical analytical parameters to print out a rock mass model with high precision and accurately describe it. Internal structural surface of rock mass.
It realizes high-precision rock mass model preparation, which can reproduce the real stress environment of variable rock mass in actual geological engineering, and provides reliable technical guarantees for engineering practice.
Smart Images
Figure CN119116098A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of rock sample preparation, and in particular to a method for making a rock model based on 3D printing. Background Art
[0002] In the field of earth science and civil engineering, it is of great significance to study the mechanical properties of rock mass. Rock mass is usually full of defects of various scales, such as microcracks, pores, joints, layers, faults and veins, etc. These defects constitute a complex rock mass structure, making the rock mass exhibit characteristics such as inhomogeneity, discontinuity, anisotropy and deformation nonlinear elasticity. Understanding these characteristics will help to better carry out engineering design and geological disaster prevention.
[0003] In order to study the macroscopic mechanical properties of rock mass, scientists usually use theoretical analysis, numerical simulation and physical simulation test. Physical simulation test is particularly important because it can reproduce the structure and properties of the actual rock mass by using similar materials. This method is based on the principle of similarity, that is, by using rock-like materials to replicate the structure and properties of the original rock while maintaining a certain proportional relationship, it can fully and realistically simulate the mechanical behavior of the rock mass and the engineering structure and their interaction relationship.
[0004] The existing traditional physical simulation methods mainly prepare rock-like materials through a series of operation steps such as mixing, vibrating, compacting, and solidification molding by mixing different types of aggregates and binder materials. These production methods have been widely used in the preparation of various engineering model materials, such as the slope dam of hydropower stations, underground storage caverns, and underground engineering mining tunnels. However, these methods have significant defects and limitations: 1. Low degree of automation; 2. The preparation process is time-consuming and labor-intensive, and the procedures are cumbersome; 3. Relying on manual experience and level, the uniformity and accuracy of the prepared samples are poor; 4. The key is that the spatial variability, discontinuity, heterogeneity, and complex structural surfaces of natural rock masses and their internal natural defects cannot be reproduced. In the existing patent method, "A 3D Printing Rock-like Material Similarity Optimization Method", an efficient and optimized method for preparing rock-like materials is proposed, but it is only based on the preparation of triaxial specimens under laboratory conditions. Although the accuracy is high, the simulation scale is small, and the internal structural surface of the rock mass cannot be simulated, and it is difficult to apply to large model scales. Summary of the invention
[0005] The present application provides a method for making a rock model based on 3D printing. By performing variability analysis on the survey data and establishing a three-dimensional rock model close to the actual rock mass, the rock model is printed based on the three-dimensional rock model, which can more accurately describe the internal structural surface of the rock mass.
[0006] This application is implemented through the following technical solutions:
[0007] A method for making a rock model based on 3D printing, comprising the following contents:
[0008] Obtain rock mass exploration drilling data;
[0009] Extract the physical and mechanical parameters of the rock mass and obtain the variability parameters of the physical and mechanical parameters in spatial coordinates;
[0010] Establish the autocorrelation model of physical and mechanical parameters based on the variability parameters of physical and mechanical parameters in spatial coordinates;
[0011] Based on the autocorrelation model of physical and mechanical parameters, the three-dimensional rock mass model is constructed using the Monte Carlo random generation method;
[0012] Obtain numerical analytical parameters and physical property parameters based on the three-dimensional rock mass model;
[0013] The printing materials are configured based on the numerical analytical parameters and physical property parameters, and the rock model is printed.
[0014] The method for making a rock model based on 3D printing provided in the present application can construct a three-dimensional rock model close to the real rock by analyzing the variability of the physical and mechanical parameters of the rock mass and combining it with the exploration drilling data. The three-dimensional rock model is then analyzed to obtain numerical analytical parameters and physical property parameters. The rock model is printed based on the numerical analytical parameters and the physical property parameters. The printed rock model has high precision and a relatively accurate internal structural surface, which provides a more reliable technical guarantee for future engineering practices. At the same time, it can also reproduce the real stress environment of the variable rock mass in actual geological engineering, and provide a corresponding reference for engineering survey and design.
[0015] In some optional embodiments, the physical and mechanical parameters include rock strength, rock elastic modulus, and rock porosity.
[0016] In some optional embodiments, the variability parameters include rock mass strength parameters, horizontal fluctuation range and vertical fluctuation range of elastic modulus in three-dimensional space.
[0017] In some optional embodiments, the variability parameters also include rock mass strength parameters, vertical correlation distance and horizontal correlation distance of elastic modulus in three-dimensional space.
[0018] In some optional embodiments, the following contents are included when constructing a three-dimensional rock mass model using the Monte Carlo random generation method:
[0019] Constructing the fluctuation function of rock mass depth based on variability parameters;
[0020] Obtaining a trend function of rock mass depth according to a fluctuation function of rock mass depth and physical and mechanical parameters corresponding to the rock mass depth;
[0021] Obtain the coefficient of variation corresponding to each rock mass depth;
[0022] A three-dimensional rock mass model is constructed based on the trend function, coefficient of variation and variability parameters corresponding to the rock mass depth.
[0023] In some optional embodiments, the following model is used to obtain the trend function of the rock mass depth according to the fluctuation function of the rock mass depth and the physical and mechanical parameters corresponding to the rock mass depth:
[0024] ξ(z)=ω(z)+μ(z);
[0025] Among them, ξ(z) is the physical and mechanical parameter of the rock mass, μ(z) is the trend function, ω9z) is the fluctuation function, and z is the depth of the rock mass.
[0026] In some optional embodiments, the following contents are also included when constructing the rock mass three-dimensional model using the Monte Carlo random generation method:
[0027] Extract the structural parameters of the rock mass and obtain the variability parameters of the structural parameters in three-dimensional space;
[0028] The structural parameter autocorrelation model is established based on the variability parameters of the structural parameters in three-dimensional space;
[0029] Based on the autocorrelation model of physical and mechanical parameters and the autocorrelation model of structural parameters, the Monte Carlo random generation method is used to construct a three-dimensional rock mass model.
[0030] In some optional embodiments, the variability parameters of the structural parameters in three-dimensional space include isovariability parameters of rock mass fissures, joints, foliation, etc. in three-dimensional space.
[0031] In some optional embodiments, when obtaining numerical analytical parameters and physical property parameters based on the three-dimensional rock mass model, the physical property parameters of discontinuous structural surfaces in the three-dimensional rock mass model are equal everywhere.
[0032] In some optional embodiments, the gaps between discontinuous structural surfaces are filled with silicone when printing the rock model.
[0033] Compared with the prior art, this application has the following advantages and beneficial effects:
[0034] The method for making a rock model based on 3D printing provided in the present application can construct a three-dimensional rock model close to the real rock by analyzing the variability of the physical and mechanical parameters of the rock mass and combining it with the exploration drilling data. The three-dimensional rock model is then analyzed to obtain numerical analytical parameters and physical property parameters. The rock model is printed based on the numerical analytical parameters and the physical property parameters. The printed rock model has high precision and a relatively accurate internal structural surface, which provides a more reliable technical guarantee for future engineering practices. At the same time, it can also reproduce the real stress environment of the variable rock mass in actual geological engineering, and provide a corresponding reference for engineering survey and design. BRIEF DESCRIPTION OF THE DRAWINGS
[0035] In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present application and should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without creative work. In the drawings:
[0036] Figure 1 A schematic flow chart of a method for making a rock model based on 3D printing provided in an embodiment of the present application. DETAILED DESCRIPTION
[0037] In order to make the objectives, technical solutions and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with examples and drawings. The illustrative implementation scheme of the present application and its description are only used to explain the present application and are not intended to limit the present application.
[0038] The present application provides a method for making a rock model based on 3D printing, which can be found in Figure 1 , the rock model making method based on 3D printing includes the following contents:
[0039] S1. Obtain rock mass exploration drilling data.
[0040] Among them, the rock mass exploration drilling data includes the physical and mechanical parameters and structural parameters of the rock mass. The physical and mechanical parameters include but are not limited to the rock mass tensile strength, rock mass compressive strength, rock mass elastic modulus, and rock mass porosity; the structural parameters include but are not limited to the rock mass crack size parameters, joint parameters, and schistosity parameters.
[0041] S2. Extract the physical and mechanical parameters of the rock mass and obtain the variability parameters of the physical and mechanical parameters in spatial coordinates.
[0042] Specifically, a spatial coordinate system can be established to determine the spatial coordinate system of the rock mass investigation area, and the physical and mechanical parameters of the rock mass can be associated with the spatial coordinates; for example, a semi-variogram or other spatial variability models can be used to calculate the spatial variability of the physical and mechanical parameters, and a spatial variability model can be fitted based on the physical and mechanical parameters, such as a Gaussian model, an exponential model, or a spherical model to describe the correlation of the physical and mechanical parameters at different spatial distances; for example, the horizontal fluctuation range and vertical fluctuation range of the rock mass strength parameters and elastic modulus in three-dimensional space, and the vertical correlation distance and horizontal correlation distance of the rock mass strength parameters and elastic modulus in three-dimensional space.
[0043] In some optional embodiments, the structural parameters of the rock mass may be extracted and the variability parameters of the structural parameters in the spatial coordinates may be obtained so that the printed rock mass model has a higher dimensional accuracy.
[0044] S3. Establish an autocorrelation model of physical and mechanical parameters based on the variability parameters of the physical and mechanical parameters in spatial coordinates.
[0045] After the physical and mechanical parameter autocorrelation model is established, the variability parameters can be fitted into the physical and mechanical parameter autocorrelation model to further determine the correlation parameters of the physical and mechanical parameter autocorrelation model.
[0046] S4. Based on the autocorrelation model of physical and mechanical parameters, the Monte Carlo random generation method is used to construct a three-dimensional rock mass model.
[0047] In order to ensure the accuracy of the rock mass three-dimensional model, the structural parameter autocorrelation model can be considered simultaneously to obtain a more accurate rock mass three-dimensional model.
[0048] Specifically, in some optional embodiments, the following contents are included when constructing a three-dimensional rock mass model using the Monte Carlo random generation method:
[0049] S41. Construct a fluctuation function of rock mass depth based on variability parameters.
[0050] S42. Obtaining a trend function of the rock mass depth according to the fluctuation function of the rock mass depth and physical and mechanical parameters corresponding to the rock mass depth.
[0051] In actual implementation, the trend function can be determined according to the following model:
[0052] ξ9z)=ω(z)+μ(z);
[0053] Among them, ξ(z) is the physical and mechanical parameter of the rock mass, μ(z) is the trend function, ω(z) is the fluctuation function, and z is the depth of the rock mass.
[0054] S43. Obtain the coefficient of variation corresponding to each rock mass depth.
[0055] In actual implementation, we first calculate the mean μ of the volatility function ω(z) ω(z) :
[0056]
[0057] Then calculate the standard deviation σ ω(z) :
[0058]
[0059] Coefficient of variation COV ω(z) for:
[0060] COV ω(z) =σ ζω(z) / μ ω(z) .
[0061] S44. Construct a three-dimensional rock mass model based on the trend function, the coefficient of variation and the variability parameters corresponding to the rock mass depth.
[0062] S5. Obtain numerical analytical parameters and physical property parameters based on the three-dimensional rock mass model.
[0063] In actual implementation, the 3D rock model can be sliced first, and for each layer of the 3D rock model, the variability of the physical and mechanical parameters and the variability of the structural parameters can be analyzed as the specific differences in the physical and mechanical parameters and structural parameters of the rock. For discontinuous structural surfaces in the 3D rock model, the variability of the physical and mechanical parameters is considered to be 0, that is, the physical and mechanical parameters in the area are the same everywhere. In this way, multiple physical and mechanical parameters and structural parameters of each area in each layer of the 3D rock model can be obtained.
[0064] S6. Based on the numerical analytical parameters and physical property parameters, the printing materials are configured and the rock model is printed.
[0065] The 3D printer can design the material ratio according to multiple physical and mechanical parameters in each area, and print out a rock model with dimensions and physical properties equivalent to the actual rock mass based on numerical analytical parameters.
[0066] When printing the rock model, the gaps between the discontinuous structural surfaces are filled with silica gel.
[0067] Among them, a database is pre-stored in the 3D printer. The database is used to determine the basic physical and mechanical parameters corresponding to natural rocks and several current types of printing materials through indoor experiments. According to this database, combined with the physical property parameters and numerical analysis parameters obtained from the three-dimensional model of the rock mass, the material types and proportions corresponding to the rock mass in each area can be obtained.
[0068] Usually, the rock model can be made of materials such as gypsum, sand, iron sand, and micro-expansion agent. For example, in the actual implementation process, the following ratio example table is used:
[0069] Material mix quality ratio design reference example table
[0070]
[0071] Among them, the use of expansion agent can produce a certain expansion stress on the rock mass during the solidification process of the rock model, thereby simulating the internal structural stress environment of the rock mass.
[0072] Since the printed rock model should be in a high stress environment, it is necessary to apply external loads and preserve the stress environment due to the model scale and stress conditions. After the rock model is solidified, it is placed in a side limit loading box, in which a loading steel plate, a jack and a pressure sensor are arranged. The jack is connected to the inner wall of the side limit loading box, and the loading steel plate is connected to the moving end of the jack. The rock model is placed between the loading steel plate and the inner wall of the side limit loading box. The jack drives the loading steel plate to apply pressure to the rock model. The pressure sensor is arranged between the jack and the side limit plate. The jack applies the load in stages. After each level of load is applied, it is left to stand for a period of time and the changes of the pressure sensor during the load application process are monitored until the pressure stabilizes. Then the next level of load is applied, and the pressure changes are repeatedly monitored until the last level of load is applied and the load level is maintained for the next test.
[0073] When the stress of the printed variable rock mass is saturated, a drilling machine is used to drill vertically downward from the borehole mouth for drilling sampling to obtain core samples of the parameter variable rock mass. The drilling data is monitored in real time, and sampling is performed at different positions to obtain drilling data under different variability parameters and spaces.
[0074] According to the above process, multiple combinations of variability parameterized rock masses can be repeatedly drilled to obtain drilling data under different variability parameters, providing corresponding references for engineering survey and design.
[0075] In addition to the above-mentioned stress loading methods, the stress and size can also be scaled by the gravity acceleration of the geotechnical centrifuge to reproduce the real stress environment of the variable rock mass in actual geological engineering.
[0076] The above specific embodiments illustrate the implementation methods of the present application. Those skilled in the art can easily understand other advantages and effects of the present application from the contents disclosed in this specification. Although the description of the present application will be introduced in conjunction with some embodiments, this does not mean that the features of this application are limited to the implementation methods. On the contrary, the purpose of introducing the application in conjunction with the implementation methods is to cover other options or modifications that may be extended based on the claims of the present application. In order to provide an in-depth understanding of the present application, the above description contains many specific details. The present application can also be implemented without using these details. In addition, in order to avoid confusion or blurring the focus of the present application, some specific details will be omitted in the description. It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other without conflict.
[0077] It should be noted that in this specification, similar numbers and letters represent similar items in the above drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings. In the description of this application, it should be noted that the orientation or position relationship indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inside", "outside", etc. is based on the orientation or position relationship shown in the drawings, which is only for the convenience of describing this application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on this application. In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, or it can be a connection between the two elements. For those skilled in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.
[0078] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.
Claims
1. A method for making a rock model based on 3D printing, characterized in that: Includes the following: Obtain rock mass exploration drilling data; Extract the physical and mechanical parameters of the rock mass and obtain the variability parameters of the physical and mechanical parameters in spatial coordinates; Establish the autocorrelation model of physical and mechanical parameters based on the variability parameters of physical and mechanical parameters in spatial coordinates; Based on the autocorrelation model of physical and mechanical parameters, the three-dimensional rock mass model is constructed using the Monte Carlo random generation method; Obtain numerical analytical parameters and physical property parameters based on the three-dimensional rock mass model; The printing materials are configured based on the numerical analytical parameters and physical property parameters, and the rock model is printed.
2. The method for making a rock model based on 3D printing according to claim 1, characterized in that: The physical and mechanical parameters include rock mass strength, rock mass elastic modulus, and rock mass porosity.
3. The method for making a rock model based on 3D printing according to claim 2, characterized in that: The variability parameters include rock mass strength parameters, horizontal fluctuation range and vertical fluctuation range of elastic modulus in three-dimensional space.
4. The method for making a rock model based on 3D printing according to claim 3, characterized in that: The variability parameters also include rock mass strength parameters, vertical correlation distance and horizontal correlation distance of elastic modulus in three-dimensional space.
5. The method for making a rock model based on 3D printing according to claim 4, characterized in that: The following contents are included when constructing a three-dimensional rock mass model using the Monte Carlo random generation method: Constructing the fluctuation function of rock mass depth based on variability parameters; Obtaining a trend function of rock mass depth according to a fluctuation function of rock mass depth and physical and mechanical parameters corresponding to the rock mass depth; Obtain the coefficient of variation corresponding to each rock mass depth; A three-dimensional rock mass model is constructed based on the trend function, coefficient of variation and variability parameters corresponding to the rock mass depth.
6. The method for making a rock model based on 3D printing according to claim 5, characterized in that: The following model is used to obtain the trend function of rock depth based on the fluctuation function of rock depth and the physical and mechanical parameters corresponding to the rock depth: ξ(z)=ω(z)+μ(z); Among them, ξ(z) is the physical and mechanical parameter of the rock mass, μ(z) is the trend function, ω(z) is the fluctuation function, and z is the depth of the rock mass.
7. The method for making a rock model based on 3D printing according to claim 1, characterized in that: The following contents are also included when constructing the rock mass three-dimensional model using the Monte Carlo random generation method: Extract the structural parameters of the rock mass and obtain the variability parameters of the structural parameters in three-dimensional space; The structural parameter autocorrelation model is established based on the variability parameters of the structural parameters in three-dimensional space; Based on the autocorrelation model of physical and mechanical parameters and the autocorrelation model of structural parameters, the Monte Carlo random generation method is used to construct a three-dimensional rock mass model.
8. The method for making a rock model based on 3D printing according to claim 7, characterized in that: The variability parameters of structural parameters in three-dimensional space include the isovariability parameters of rock mass cracks, joints, schistosity, etc. in three-dimensional space.
9. The method for making a rock model based on 3D printing according to claim 7, characterized in that: When obtaining numerical analytical parameters and physical property parameters based on the three-dimensional rock mass model, the physical property parameters of discontinuous structural surfaces in the three-dimensional rock mass model are equal everywhere.
10. The method for making a rock model based on 3D printing according to claim 9, characterized in that: When printing the rock model, the gaps between the discontinuous structural surfaces are filled with silicone.