CN111605182B - Preparation method of heterogeneous coal core of soft coal seam - Google Patents
Preparation method of heterogeneous coal core of soft coal seam Download PDFInfo
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- 238000002360 preparation method Methods 0.000 title claims abstract description 15
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- 238000000034 method Methods 0.000 claims abstract description 33
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 7
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
- B29C—SHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
- B29C64/00—Additive manufacturing, i.e. manufacturing of three-dimensional [3D] objects by additive deposition, additive agglomeration or additive layering, e.g. by 3D printing, stereolithography or selective laser sintering
- B29C64/10—Processes of additive manufacturing
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
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- B29C64/30—Auxiliary operations or equipment
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- B33—ADDITIVE MANUFACTURING TECHNOLOGY
- B33Y—ADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3-D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3-D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
- B33Y10/00—Processes of additive manufacturing
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- B33—ADDITIVE MANUFACTURING TECHNOLOGY
- B33Y—ADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3-D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3-D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
- B33Y50/00—Data acquisition or data processing for additive manufacturing
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/28—Preparing specimens for investigation including physical details of (bio-)chemical methods covered elsewhere, e.g. G01N33/50, C12Q
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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- G01N15/088—Investigating volume, surface area, size or distribution of pores; Porosimetry
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
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- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N2203/0001—Type of application of the stress
- G01N2203/0003—Steady
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N2203/0014—Type of force applied
- G01N2203/0016—Tensile or compressive
- G01N2203/0019—Compressive
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
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Abstract
The invention provides a preparation method of a soft coal seam heterogeneous coal core. The method comprises the steps of measuring the ground stress, the gas pressure and the permeability coefficient of a target soft coal seam, establishing a fracture network three-dimensional visual model, obtaining the compressive strength, the elastic modulus and the Poisson ratio of the soft coal seam in a prefabricated coal core area, obtaining a preparation scheme which accords with the target soft coal seam coal core, printing the prepared coal core and the like. The method realizes the preparation of the heterogeneous soft coal seam coal core, provides an effective way for the research of the mechanics and permeability of the soft coal seam, and also provides reliable raw materials for the research of the gas dynamic disaster mechanism and the prevention and control mechanism of the soft coal seam.
Description
Technical Field
The invention relates to the technical field of fluid-solid coupling related research of soft coal seams, in particular to a preparation method of a heterogeneous coal core of a soft coal seam.
Background
Most coal seams in China are formed from the stone coal period to the biennial period, strong structural movement is carried out in the period, and the primary structure of the coal seams is damaged, so that most coal seams in China are soft in texture and complex in structure, and raw coal samples are difficult to obtain. Therefore, many scholars have conducted experiments using briquettes reconstituted from similar materials instead of raw coal. Because the strength of the directly pressed reconstituted coal is low, the permeability is high, and the difference between the properties of the directly pressed reconstituted coal and the properties of the directly pressed reconstituted coal is obvious, people often adopt a method of adding additives to reduce the difference between the original coal and the reconstituted coal. The cement is added into the coal powder by relevant scholars, and through repeated test comparison and optimization of a coal blending scheme, the peak value main stress difference of the finally obtained optimally-blended coal can reach 96.3 percent of that of the raw coal, but the differences of the permeability coefficient, the elastic modulus and the Poisson ratio are large, and the reconstruction is not carried out on the premise of the occurrence conditions of the original coal bed. Therefore, how to achieve comprehensive reconstruction of the original coal seam mechanical properties and permeability performance is still a problem to be explored.
On the other hand, the natural coal rock mass contains a large number of pore cracks, and the rock has the characteristics of heterogeneity, anisotropy, discontinuity and the like measured from the microscopic and microscopic angles. At present, relevant scholars preliminarily explore the influence of heterogeneity of coal and rock masses on mechanical properties of the coal and rock masses. However, currently, the heterogeneity of coal rock mass is rarely considered when the physical reconstruction of coal rock mass is carried out. Therefore, how to realize the physical reconstruction of the heterogeneous coal body is also a difficult problem to be explored. Currently emerging 3D printing technologies are available for reference in this regard. The correlative scholars adopt different printing processes (a three-dimensional photocuring forming process, a fused deposition forming process, an electron beam melting process, a layered test entity forming process, a selective laser sintering process, a three-dimensional printing process and the like) to manufacture the rock-like material with complex structural characteristics, and preliminarily explores the mechanical properties and the permeability of the material, such as compression resistance, shear resistance, tensile resistance and the like, and research results show that: the constructed rock-like material can well simulate the mechanical behavior of a real rock mass. However, the soft coal seam coal core containing the complex fracture network is reconstructed by adopting a 3D printing technology at present.
Therefore, it is highly desirable to develop a method for preparing a heterogeneous coal core of a soft coal seam.
Disclosure of Invention
The invention aims to provide a preparation method of a soft coal seam heterogeneous coal core, which aims to solve the problems in the prior art.
The technical scheme adopted for achieving the aim of the invention is that the method for preparing the heterogeneous coal core of the soft coal seam comprises the following steps:
1) and (5) determining the crustal stress, the gas pressure and the permeability coefficient of the target soft coal seam.
2) And acquiring the spatial fracture distribution form of the soft coal layer in the prefabricated coal core area by using an elastic wave CT data acquisition system, and establishing a fracture network three-dimensional visual model. The spatial fracture distribution form comprises the attitude, the trace length and the spacing parameters of the fracture.
3) And acquiring the compressive strength, the elastic modulus and the Poisson ratio of the soft coal bed in the prefabricated coal core area by using the coal rock body elastic mechanical parameter and physical parameter in-situ test system.
4) And setting the measured ground stress, gas pressure, compressive strength, elastic modulus, Poisson ratio, permeability coefficient and fracture morphology image of the target soft coal seam as a target sample, and performing optimized matching from an optimal scheme database of the prefabricated coal core under different fracture parameters by adopting a deep learning algorithm to obtain a preparation scheme which accords with the target soft coal seam coal core.
5) Establishing a coal core 3D digital model according to the preparation scheme obtained in the step 4), and selecting 3D printing raw materials and a raw material ratio.
6) And 3D printing to prepare the coal core, and maintaining.
Further, in the step 5), the 3D printing raw materials comprise coal powder, activated carbon, furan resin and water.
Further, in step 6), the 3D printing technology adopts a three-dimensional printing process.
Further, the method for constructing the optimal scheme database of the prefabricated coal core under different fracture parameters comprises the following steps:
a) setting fracture geometric parameters of the pre-prepared coal core and constructing a fracture network. Wherein the fracture geometric parameters include bedding line density, individual bedding dip, individual bedding width, cleat line density, individual cleat dip, and individual cleat width.
b) And (4) setting the ground stress and gas pressure values measured by the compressive strength, the elastic modulus, the Poisson ratio and the permeability coefficient.
c) And preparing the coal core under different original influence factors by means of a 3D printing technology. After the coal core is maintained, the compressive strength, the elastic modulus, the Poisson ratio and the permeability coefficient are tested one by one. And respectively determining important influence factor sets of the compressive strength, the elastic modulus, the Poisson ratio and the permeability coefficient of the coal core through significance analysis.
d) The design is a parameter test scheme with important influence factors. And printing the pre-prepared coal cores of corresponding groups according to the test scheme, and testing the compressive strength, the elastic modulus, the Poisson ratio and the permeability coefficient one by one. And respectively establishing response surface models between the compressive strength, the elastic modulus, the Poisson ratio and the permeability coefficient of the pre-prepared coal core and respective important influence factors according to the test results.
e) Target values for compressive strength, elastic modulus, poisson's ratio, and permeability coefficient are set.
f) And carrying out optimization calculation on the response surface model to respectively obtain important influence factor value sets meeting the requirements of compressive strength, elastic modulus, Poisson's ratio and permeability coefficient.
g) And obtaining an optimal important influence factor value set which simultaneously meets the set target values of the compressive strength, the elastic modulus, the Poisson ratio and the permeability coefficient by adopting a Mahalanobis distance matching method.
h) Trial-producing the coal core according to the obtained optimal raw material proportion and the maintenance time, testing the mechanical property and the permeability, checking the effect, and properly correcting to obtain a final important influence factor value set.
i) And (4) changing target values of the compressive strength, the elastic modulus, the Poisson ratio and the permeability coefficient, and repeating the steps f) to h) to obtain an optimal scheme set with different target values of the compressive strength, the elastic modulus, the Poisson ratio and the permeability coefficient.
j) And (e) changing the ground stress and gas pressure values measured by the compressive strength, the elastic modulus, the Poisson ratio and the permeability coefficient, and repeating the steps c) to i) to obtain an optimal scheme set under different stresses and gas pressures.
k) Changing fracture parameters, and repeating the steps b) to j) to obtain an optimal scheme database of the prefabricated coal core under different fracture parameters.
Further, the original set of influencing factors for the uniaxial compressive strength and permeability coefficient of the pre-prepared coal core includes raw material parameters and curing time. The raw material parameters mainly comprise the coal powder particle size, the coal powder mass fraction, the activated carbon mass fraction, the furan resin mass fraction and the water mass fraction.
Further, the permeability coefficient was measured after adsorption equilibrium under the set ground stress and gas pressure conditions. The compressive strength, elastic modulus and poisson's ratio were measured under the set ground stress and gas pressure conditions.
The technical effects of the invention are undoubted:
A. the preparation of the heterogeneous soft coal seam coal core is realized, an effective way is provided for the research of the mechanics and permeability of the soft coal seam, and reliable raw materials are provided for the research of the gas dynamic disaster mechanism and the prevention and control mechanism of the soft coal seam;
B. the 3D printing technology is adopted to ensure the accurate construction of the coal core fracture network and realize the real reflection of the heterogeneity of the soft coal bed;
C. the established optimal scheme database under different fracture parameters provides an effective way for quickly matching the target coal seam, a researcher can obtain the coal core establishment scheme which is most matched with the characteristics of the original coal seam only by inputting the basic information of the target coal seam, and the method is simple to operate, convenient and quick and has an obvious effect.
Drawings
FIG. 1 is a flow chart of a method for making a coal core.
Detailed Description
The present invention is further illustrated by the following examples, but it should not be construed that the scope of the above-described subject matter is limited to the following examples. Various substitutions and alterations can be made without departing from the technical idea of the invention and the scope of the invention is covered by the present invention according to the common technical knowledge and the conventional means in the field.
Example 1:
referring to fig. 1, the embodiment provides a method for preparing a heterogeneous coal core of a soft coal seam, which includes the following steps:
1) and (5) determining the crustal stress, the gas pressure and the permeability coefficient of the target soft coal seam.
2) And acquiring the spatial fracture distribution form of the soft coal layer in the prefabricated coal core area by using an elastic wave CT data acquisition system, and establishing a fracture network three-dimensional visual model. The spatial fracture distribution form comprises the attitude, the trace length and the spacing parameters of the fracture.
3) And acquiring the compressive strength, the elastic modulus and the Poisson ratio of the soft coal bed in the prefabricated coal core area by using the coal rock body elastic mechanical parameter and physical parameter in-situ test system.
4) And constructing an optimal scheme database of the prefabricated coal core under different fracture parameters.
5) And setting the measured ground stress, gas pressure, compressive strength, elastic modulus, Poisson ratio, permeability coefficient and fracture morphology image of the target soft coal seam as a target sample, and performing optimized matching from an optimal scheme database of the prefabricated coal core under different fracture parameters by adopting a deep learning algorithm to obtain a preparation scheme which accords with the target soft coal seam coal core.
6) Establishing a coal core 3D digital model according to the preparation scheme obtained in the step 5), and selecting a material ratio to prepare a 3D printing raw material. The 3D printing raw materials comprise coal powder, activated carbon, furan resin and water.
7) And (3) slicing the 3D digital model into layers, indicating a 3D printer nozzle to move to a specified position by adopting a three-dimensional printing process to spray 3D printing raw materials, printing and preparing a coal core, and maintaining.
Example 2:
the main steps of the embodiment are the same as those of embodiment 1, wherein the method for constructing the optimal scheme database of the prefabricated coal core under different fracture parameters in step 4 comprises the following steps:
a) setting fracture geometric parameters such as precast coal core layer reason line density, single bedding inclination angle, single bedding width, cleat line density, single cleat inclination angle and single cleat width, and constructing a fracture network.
b) And (4) setting the ground stress and gas pressure values measured by the compressive strength, the elastic modulus, the Poisson ratio and the permeability coefficient.
c) Determining an original influence factor set of uniaxial compressive strength and permeability coefficient of a pre-prepared coal core, designing an original influence factor screening test scheme by using a grey field method, preparing the coal core under different original influence factors by means of a 3D printing technology, curing in a curing box, testing the compressive strength, the elastic modulus, the Poisson ratio and the permeability coefficient of the coal core one by one, and respectively determining important influence factor sets of the compressive strength, the elastic modulus, the Poisson ratio and the permeability coefficient of the pre-prepared coal core under the fracture geometric parameters through significance analysis.
d) Based on a central composite experiment design method, a test scheme taking important influence factors as parameters is designed. Printing a corresponding group number of pre-prepared coal cores according to a test scheme, testing the compressive strength, the elastic modulus, the Poisson ratio and the permeability coefficient of the pre-prepared coal cores one by one, and respectively establishing a response surface model between the compressive strength, the elastic modulus, the Poisson ratio and the permeability coefficient of the pre-prepared coal cores under the fracture geometric parameters and respective important influence factors according to the test result.
e) Target values for compressive strength, elastic modulus, poisson's ratio, and permeability coefficient are set.
f) And carrying out optimization calculation on the response surface model to respectively obtain important influence factor value sets meeting the requirements of compressive strength, elastic modulus, Poisson's ratio and permeability coefficient.
g) And obtaining an optimal important influence factor value set which simultaneously meets the set target values of the compressive strength, the elastic modulus, the Poisson ratio and the permeability coefficient by adopting a Mahalanobis distance matching method.
h) Trial-producing the coal core according to the obtained optimal raw material proportion and the maintenance time, testing the mechanical property and the permeability, checking the effect, and properly correcting to obtain a final important influence factor value set.
i) And (4) changing target values of the compressive strength, the elastic modulus, the Poisson ratio and the permeability coefficient, and repeating the steps f) to h) to obtain an optimal scheme set with different target values of the compressive strength, the elastic modulus, the Poisson ratio and the permeability coefficient.
j) And (e) changing the ground stress and gas pressure values measured by the compressive strength, the elastic modulus, the Poisson ratio and the permeability coefficient, and repeating the steps c) to i) to obtain an optimal scheme set under different stresses and gas pressures.
k) Changing fracture parameters, and repeating the steps b) to j) to obtain an optimal scheme database of the prefabricated coal core under different fracture parameters.
In this example, the original set of influencing factors for the uniaxial compressive strength and permeability coefficient of the pre-prepared coal core consisted of raw material parameters and curing time. The raw materials comprise coal powder, activated carbon, furan resin and water. The raw material parameters mainly comprise: the coal powder is prepared from the following raw materials of coal powder particle size, coal powder mass fraction, activated carbon mass fraction, furan resin mass fraction, water mass fraction and curing time. The 3D printing technology adopts a three-dimensional printing process. The permeability coefficient was measured after adsorption equilibrium under the set crustal stress and gas pressure conditions. The compressive strength, elastic modulus and poisson's ratio were measured under set ground stress and gas pressure conditions.
Claims (5)
1. A preparation method of a soft coal seam heterogeneous coal core is characterized by comprising the following steps:
1) measuring the ground stress, gas pressure and permeability coefficient of the target soft coal seam;
2) acquiring the spatial fracture distribution form of a soft coal layer in a prefabricated coal core region by using an elastic wave CT data acquisition system, and establishing a fracture network three-dimensional visual model; wherein the spatial fracture distribution form comprises the attitude, the trace length and the spacing parameters of the fracture;
3) acquiring the compressive strength, the elastic modulus and the Poisson ratio of a soft coal bed in a prefabricated coal core area by using an in-situ testing system for the elastomechanics parameter and the physical parameter of the coal rock mass;
4) constructing an optimal scheme database of the prefabricated coal core under different fracture parameters; the method for constructing the optimal scheme database of the prefabricated coal core under different fracture parameters comprises the following steps:
a) setting fracture geometric parameters of a pre-prepared coal core, and constructing a fracture network; wherein the fracture geometric parameters include bedding line density, single bedding inclination angle, single bedding width, cleat line density, single cleat inclination angle and single cleat width;
b) setting the ground stress and gas pressure values measured by the compressive strength, the elastic modulus, the Poisson ratio and the permeability coefficient;
c) preparing coal cores under different original influence factors by means of a 3D printing technology; testing the compressive strength, the elastic modulus, the Poisson ratio and the permeability coefficient one by one after the coal core is maintained; respectively determining important influence factor sets of the compressive strength, the elastic modulus, the Poisson ratio and the permeability coefficient of the coal core through significance analysis;
d) designing a test scheme taking important influencing factors as parameters; printing a corresponding group number of pre-prepared coal cores according to a test scheme, and testing the compressive strength, the elastic modulus, the Poisson ratio and the permeability coefficient one by one; respectively establishing response surface models between the compressive strength, the elastic modulus, the Poisson ratio and the permeability coefficient of the pre-prepared coal core and respective important influence factors according to the test result;
e) setting target values of compressive strength, elastic modulus, Poisson's ratio and permeability coefficient;
f) carrying out optimization calculation on the response surface model to respectively obtain important influence factor value sets meeting the requirements of compressive strength, elastic modulus, Poisson ratio and permeability coefficient;
g) obtaining an optimal important influence factor value set which simultaneously meets the set target values of the compressive strength, the elastic modulus, the Poisson ratio and the permeability coefficient by adopting a Mahalanobis distance matching method;
h) trial-producing the coal core according to the obtained optimal raw material proportion and the maintenance time, testing the mechanical property and the permeability, checking the effect, and properly correcting to obtain a final important influence factor value set;
i) changing target values of the compressive strength, the elastic modulus, the Poisson ratio and the permeability coefficient, and repeating the steps f) to h) to obtain an optimal scheme set with different target values of the compressive strength, the elastic modulus, the Poisson ratio and the permeability coefficient;
j) changing the ground stress and gas pressure values measured by the compressive strength, the elastic modulus, the Poisson ratio and the permeability coefficient, and repeating the steps c) to i) to obtain an optimal scheme set under different stresses and gas pressures;
k) changing fracture parameters, and repeating the steps b) to j) to obtain an optimal scheme database of the prefabricated coal core under different fracture parameters;
5) setting the measured ground stress, gas pressure, compressive strength, elastic modulus, Poisson ratio, permeability coefficient and fracture network three-dimensional visual model of the target soft coal seam as a target sample, and performing optimized matching from an optimal scheme database of the prefabricated coal core under different fracture parameters by adopting a deep learning algorithm to obtain a preparation scheme which accords with the coal core of the target soft coal seam;
6) establishing a coal core 3D digital model according to the preparation scheme obtained in the step 5), and selecting 3D printing raw materials and a raw material ratio;
7) and 3D printing to prepare the coal core, and maintaining.
2. The method for preparing the heterogeneous coal core of the soft coal seam according to claim 1, wherein in the step 6), the 3D printing raw materials comprise pulverized coal, activated carbon, furan resin and water.
3. The method for preparing the heterogeneous coal core of the soft coal seam according to claim 1 or 2, wherein the method comprises the following steps: in the step 7), a three-dimensional printing process is adopted in the 3D printing technology.
4. The method for preparing the heterogeneous coal core of the soft coal seam according to claim 1, wherein the method comprises the following steps: the original influence factor set of the compressive strength, the elastic modulus, the Poisson ratio and the permeability coefficient of the prepared coal core comprises raw material parameters and maintenance time; the raw material parameters mainly comprise the coal powder particle size, the coal powder mass fraction, the activated carbon mass fraction, the furan resin mass fraction and the water mass fraction.
5. The method for preparing the heterogeneous coal core of the soft coal seam according to claim 1, wherein the method comprises the following steps: determining the permeability coefficient after adsorption balance under the set ground stress and gas pressure conditions; the compressive strength, elastic modulus and poisson's ratio were measured under the set ground stress and gas pressure conditions.
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| CN113138150B (en) * | 2021-04-27 | 2022-03-04 | 中国平煤神马能源化工集团有限责任公司 | Transient pressure-based low-permeability coal seam in-situ permeability testing method and device |
| CN117253021B (en) * | 2023-11-15 | 2024-02-09 | 西南石油大学 | Method for reconstructing fragment core fracture network |
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| CN106447776A (en) * | 2016-09-22 | 2017-02-22 | 北京科技大学 | Complex fractured rock mass physical model manufactured based on 3D printing productionand modeling method |
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| CN106840829A (en) * | 2017-01-24 | 2017-06-13 | 河海大学 | A kind of preparation method of the densification without filled opening rock mass sample |
| CN109648693A (en) * | 2018-12-20 | 2019-04-19 | 昆明理工大学 | A kind of packed type Fracture Networks rock sample preparation method based on 3D printing technique |
| CN109883785A (en) * | 2019-02-28 | 2019-06-14 | 西安科技大学 | A kind of stratiform Embedded defect coal and rock sample preparation device and method based on 3D printing |
| CN110398400A (en) * | 2019-07-03 | 2019-11-01 | 中国科学院武汉岩土力学研究所 | A kind of the 3D printing reconstructing method and fissured structure rock mass of fissured structure rock mass |
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| CN106447776A (en) * | 2016-09-22 | 2017-02-22 | 北京科技大学 | Complex fractured rock mass physical model manufactured based on 3D printing productionand modeling method |
| CN106626351A (en) * | 2016-12-19 | 2017-05-10 | 深圳晗竣雅科技有限公司 | Rapid denture forming method and rapid denture forming device |
| CN106840829A (en) * | 2017-01-24 | 2017-06-13 | 河海大学 | A kind of preparation method of the densification without filled opening rock mass sample |
| CN109648693A (en) * | 2018-12-20 | 2019-04-19 | 昆明理工大学 | A kind of packed type Fracture Networks rock sample preparation method based on 3D printing technique |
| CN109883785A (en) * | 2019-02-28 | 2019-06-14 | 西安科技大学 | A kind of stratiform Embedded defect coal and rock sample preparation device and method based on 3D printing |
| CN110398400A (en) * | 2019-07-03 | 2019-11-01 | 中国科学院武汉岩土力学研究所 | A kind of the 3D printing reconstructing method and fissured structure rock mass of fissured structure rock mass |
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