A rock blasting crack propagation prediction method, system, device and medium

Abstract

The application discloses a rock blasting crack propagation prediction method, system, device and medium, and relates to the field of rock crack prediction.The method comprises the following steps: obtaining rock powder after blasting; the rock powder comprises rock powder at a crack initiation position and rock powder at a non-crack initiation position; performing diffraction detection on the rock powder to obtain a diffraction image; performing phase analysis on the diffraction image to obtain a rock-contained substance type and rock-contained substance diffraction data; and analyzing the rock-contained substance type and the rock-contained substance diffraction data from a microscopic angle to obtain a rock blasting crack propagation position; the microscopic angle is a mineral composition and / or a crystal structure.The application can improve the accuracy of crack propagation prediction.

Description

Technical Field

[0001] This invention relates to the field of rock crack prediction, and in particular to a method, system, device and medium for predicting the propagation of rock burst cracks. Background Technology

[0002] In actual blasting projects, rock blasting is generally disordered and without obvious patterns. It is impossible to predict the blasting conditions and specific locations of rocks in advance. This disorder and unpredictability can cause some hazards in blasting projects, such as: low utilization rate of explosives leading to resource waste, and failure to achieve the expected blasting effect leading to project problems.

[0003] Rocks are solid aggregates with stable shapes, composed of one or more minerals and natural glass. Inspired by the above, the initial location of crack initiation in rocks cannot be predicted in advance during an explosion. At the angle of the explosive, the energy generated during the explosion acts uniformly on the inner wall of the rock in a columnar form, but cracks only occur in a very few places.

[0004] Common methods for predicting rock crack propagation include experimental observation, empirical formulas, and numerical simulation. Experimental observation involves conducting rock blasting tests and using high-speed photography to record crack propagation and formation processes, summarizing empirical rules for crack propagation. This method provides intuitive information on crack propagation, but its practical application is limited by experimental conditions, and the results are usually only applicable to specific rock types, loading methods, or experimental parameters. Empirical formulas are typically based on statistical and regression analysis, predicting the length or range of crack propagation by inputting information such as the rock's mechanical properties, rock parameters, and blasting parameters. This method is simple and easy to use, but its applicability is limited, and the parameters involved in the formula may contain subjectivity and uncertainty. Numerical simulation is typically based on the rock's mechanical properties and failure criteria, using numerical methods such as the discrete element method (DEM) and the finite element method (FEM) to simulate the stress distribution and crack propagation of the rock. This method can provide detailed predictions of crack propagation paths and failure modes, but it requires the establishment of complex mathematical and computational models, and the selection of model parameters also has certain limitations.

[0005] Therefore, a new crack propagation prediction method is needed to improve the accuracy of crack propagation prediction. Summary of the Invention

[0006] The purpose of this invention is to provide a method, system, device, and medium for predicting rock burst crack propagation, which can improve the accuracy of crack propagation prediction.

[0007] To achieve the above objectives, the present invention provides the following solution:

[0008] A method for predicting the propagation of rock burst cracks includes:

[0009] Obtain rock powder after blasting; the rock powder includes rock powder from the cracked area and rock powder from the uncracked area;

[0010] The rock powder was subjected to diffraction analysis to obtain a diffraction image;

[0011] Phase analysis was performed based on the diffraction images to obtain the types of substances contained in the rock and the diffraction data of the substances contained in the rock.

[0012] The location of rock fracture propagation is obtained by analyzing the types of substances contained in the rock and the diffraction data of the substances contained in the rock at a microscopic level; the microscopic level refers to the mineral composition and / or crystal structure.

[0013] Optionally, the rock powder obtained after the blasting includes:

[0014] Select rock specimens with physical and mechanical properties identical to those of actual engineering rocks; the rock specimens shall be of standard geometric shape.

[0015] A slot is cut at the geometric center of the rock sample, and explosives are filled at the bottom of the slot for blasting to obtain the blasted rock.

[0016] Rock powder from areas where cracks appeared after blasting was randomly selected, and rock powder from areas where no cracks appeared after blasting was randomly selected.

[0017] Optionally, the rock powder is subjected to diffraction detection to obtain a diffraction image, specifically including:

[0018] The rock powder was placed in an XRD diffractometer for testing to obtain test data;

[0019] The detection data is input into HighScore Plus software to obtain a diffraction image.

[0020] Optionally, phase analysis is performed based on the diffraction image to obtain the types of substances contained in the rock and the diffraction data of the substances contained in the rock, specifically including:

[0021] The diffraction images were automatically retrieved using HighScore Plus software to determine the types of substances contained in the rock.

[0022] HighScore Plus software was used to determine the diffraction data of the rock's constituent materials based on their types.

[0023] Optionally, when the microscopic perspective is based on mineral composition, the location of rock fracture propagation is obtained by analyzing the types of substances contained in the rock and the diffraction data of those substances at the microscopic perspective, specifically including:

[0024] The types of substances contained in the rock are compared between the rock powder from the crack initiation point and the rock powder from the non-crack initiation point to determine the different mineral types and the proportion of mineral types in the two groups of powders; the proportion of mineral types is the proportion of mineral types whose difference in the proportion of the same mineral type between the two groups of powders is greater than a set threshold.

[0025] The mineral composition analysis results are determined based on the different mineral types and their proportions; the mineral composition analysis results characterize the relationship between mineral composition and rock crack initiation patterns.

[0026] The location of rock fracture propagation was determined using the mineral composition analysis results from the rock sample.

[0027] Optionally, when the microscopic perspective is that of a crystalline structure, the location of rock fracture propagation is obtained by analyzing the types of substances contained in the rock and the diffraction data of those substances at the microscopic perspective, specifically including:

[0028] By comparing the diffraction data of the rock powder at the crack initiation point and the rock powder at the non-crack initiation point, the diffraction peak of the substance with the highest mineral content in the rock is determined.

[0029] The crystal structure analysis results are determined based on the diffraction peaks of the mineral with the highest content; the crystal structure analysis results characterize the crystal structure and the crack initiation pattern of the rock.

[0030] The location of rock burst crack propagation was determined using the crystal structure analysis results from the rock sample.

[0031] Optionally, when the microscopic perspective focuses on mineral composition and crystal structure, analysis is performed at the microscopic level based on the types of substances contained in the rock and the diffraction data of those substances to determine the location of rock burst crack propagation, specifically including:

[0032] The types of substances contained in the rock are compared between the rock powder from the crack initiation point and the rock powder from the non-crack initiation point to determine the different mineral types and the proportion of mineral types in the two groups of powders; the proportion of mineral types is the proportion of mineral types whose difference in the proportion of the same mineral type between the two groups of powders is greater than a set threshold.

[0033] The mineral composition analysis results are determined based on the different mineral types and their proportions; the mineral composition analysis results characterize the relationship between mineral composition and rock crack initiation patterns.

[0034] By comparing the diffraction data of the rock powder at the crack initiation point and the rock powder at the non-crack initiation point, the diffraction peak of the substance with the highest mineral content in the rock is determined.

[0035] The crystal structure analysis results are determined based on the diffraction peaks of the mineral with the highest content; the crystal structure analysis results characterize the crystal structure and the crack initiation pattern of the rock.

[0036] The location of rock burst crack propagation was determined using the mineral composition analysis results and the crystal structure analysis results from the rock sample.

[0037] The present invention also provides a rock burst crack propagation prediction system, comprising:

[0038] The acquisition module is used to acquire rock powder after blasting; the rock powder includes rock powder from the cracked area and rock powder from the uncracked area.

[0039] A diffraction detection module is used to perform diffraction detection on the rock powder to obtain a diffraction image;

[0040] The phase analysis module is used to perform phase analysis based on the diffraction image to obtain the types of substances contained in the rock and the diffraction data of the substances contained in the rock;

[0041] The crack analysis module is used to analyze the rock from a microscopic perspective based on the types of substances contained in the rock and the diffraction data of the substances contained in the rock, and to obtain the location of the rock burst crack propagation; the microscopic perspective refers to the mineral composition and / or crystal structure.

[0042] The present invention also provides an electronic device, comprising:

[0043] One or more processors;

[0044] A storage device on which one or more programs are stored;

[0045] When the one or more programs are executed by the one or more processors, the one or more processors implement the method.

[0046] The present invention also provides a computer storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method described thereon.

[0047] According to specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0048] This invention involves diffraction testing of rock powder to obtain diffraction images. Phase analysis of these images determines the types of substances contained in the rock and their diffraction data. Finally, mineral composition or crystal structure analysis is performed on the rock's constituent substances and diffraction data to determine the location of crack propagation. The rock powder used in this invention can be any type of rock, and further analysis at a microscopic level improves the accuracy of crack propagation prediction. Attached Figure Description

[0049] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in 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.

[0050] Figure 1 Diffraction images of the cracked and uncracked areas of marble provided by the present invention;

[0051] Figure 2 The flowchart of the rock burst crack propagation prediction method provided by the present invention is shown below.

[0052] Figure 3 For Ca 6.00 C 6.00 O 18.00 Diffraction cards containing diffraction data;

[0053] Figure 4 For Ca 5.62 Mg 0.38 C 6.00 O 18.00 Diffraction cards containing diffraction data. Detailed Implementation

[0054] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0055] The purpose of this invention is to provide a method, system, device, and medium for predicting rock burst crack propagation, which can improve the accuracy of crack propagation prediction.

[0056] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0057] From a microscopic perspective, analyzing factors such as the mineral composition or crystal structure of rocks can help determine if uneven strength distribution within the rock is caused by the composition and content of minerals or the type and distribution of crystal structures, leading to different crack initiation locations. Given these points, the propagation of internal cracks in rocks under explosive impact is disordered, irregular, and unpredictable, which can have a significant impact on practical engineering projects. If the specific causes influencing crack initiation could be predicted in advance based on the rock's mineral composition or crystal structure, the approximate location of crack initiation during an explosion could be controlled, reducing its potential harm to engineering projects.

[0058] like Figure 2 As shown, the present invention provides a method for predicting the propagation of rock burst cracks, comprising:

[0059] Step 101: Obtain rock powder after blasting; the rock powder includes rock powder from the cracked area and rock powder from the uncracked area. The rock powder can be any type of rock powder; in this invention, the rock powder is marble, and marble is used as an example.

[0060] Step 101 specifically includes: selecting a rock sample with physical and mechanical characteristics identical to actual engineering rock; the rock sample having a standard geometric shape; slotting a hole at the geometric center of the rock sample and filling the bottom of the slotted hole with explosives for blasting to obtain blasted rock; randomly selecting rock powder from cracked areas in the blasted rock and randomly selecting rock powder from crack-free areas in the blasted rock.

[0061] In practical applications, standard geometric rock samples with physical and mechanical properties consistent with those found in actual engineering are taken. A groove of a certain depth is drilled at the geometric center of the rock surface; this depth is not specifically required. A certain amount of cylindrical explosive is then loaded into the bottom of the hole. After loading, the borehole is plugged and blasting is carried out. The blasted rock is observed, and some rock powder is selected from areas with cracks and some powder is randomly selected from areas without cracks. The selected powder is grouped into two groups: one for areas with crack initiation and one for areas without crack initiation, serving as a control group.

[0062] Step 102: Perform diffraction detection on the rock powder to obtain a diffraction image.

[0063] Step 102 specifically includes: placing the rock powder into an XRD diffractometer for detection to obtain detection data; and inputting the detection data into HighScore Plus software to obtain a diffraction image.

[0064] Two sets of powders were analyzed using an XRD diffractometer, yielding the following data: diffraction patterns, peak positions and intensities, peak shapes and widths. Analyzing this data allows for the determination of information such as mineral composition, crystal structure, crystal size, and crystallinity in the rock. For example, diffraction peaks represent the diffraction patterns of different crystal planes; each mineral has its specific peak positions and intensities. By comparing the standard diffraction patterns of known minerals, the types of minerals present in the rock can be determined. The positions of diffraction peaks provide information about the crystal structure; the spacing between different crystal planes is related to the position of the diffraction peaks. By measuring the positions of the diffraction peaks, the interplanar spacing can be calculated, thus inferring the crystal lattice structure. The intensity of diffraction peaks is directly proportional to the mineral content; by comparing the intensities of different peaks, the relative content of various minerals in the rock can be estimated. Furthermore, the shape and width of diffraction peaks provide information about crystal size and defects. Wider peaks usually indicate smaller crystal sizes or the presence of defects, while the width of the diffraction peaks can estimate the crystal size and the degree of crystal defects.

[0065] Importing the experimental data into HighScore Plus software reveals a clear diffraction image of the rock, showing distinct diffraction peaks and background noise. Preprocessing is performed using the software to identify background lines, allowing for the elimination of background noise during analysis. Then, software parameters are adjusted, and diffraction peaks are selected. The software automatically marks prominent diffraction peaks. By comparing the marked points with the peak values, unmarked peaks can be manually added or less prominent peaks can be deleted. This step is essential for phase analysis, preparing for subsequent extraction of minerals and identification of their main composition.

[0066] Step 103: Perform phase analysis based on the diffraction image to obtain the types of substances contained in the rock and the diffraction data of the substances contained in the rock.

[0067] Step 103 specifically includes: using HighScore Plus software to automatically retrieve the diffraction image to obtain the types of substances contained in the rock; and using HighScore Plus software to determine the diffraction data of the substances contained in the rock based on the types of substances contained in the rock.

[0068] To perform phase analysis, firstly, an unconditional search is performed. The software will automatically retrieve all substances that may be present in the rock, providing their phase names, matching degree, corresponding content, and unit cell parameters. Double-clicking on a substance will bring up detailed diffraction data, such as interplanar spacing, crystal plane indices, diffraction peak positions, and relative intensities. Secondly, grain size analysis can also be performed based on the half-width at half-maximum (FWHM), peak shape, or peak width of the diffraction pattern to calculate its crystal size or grain size.

[0069] Based on the data analysis methods of the above software, by analyzing both the crack-initiated group and the non-crack-initiated group, the causes of rock bursting can be studied from two microscopic perspectives: the mineral composition or crystal structure of the rock, and a method for predicting rock cracks can be proposed.

[0070] Step 104: Analyze the rock's fracture propagation location at a microscopic level based on the types of substances contained in the rock and the diffraction data of the substances contained in the rock; the microscopic level refers to the mineral composition and / or crystal structure.

[0071] At the microscopic level, considering the mineral composition, analysis was performed based on the types of substances contained in the rock and their diffraction data to determine the location of the rock's burst fracture propagation. Specifically, this included:

[0072] The types of substances contained in the rock are compared between the rock powder from the crack initiation point and the rock powder from the non-crack initiation point to determine the different mineral types and mineral types percentages of the two groups of powders; the mineral type percentage is the percentage of mineral types whose difference in the percentage of the same mineral type between the two groups of powders is greater than a set threshold.

[0073] The mineral composition analysis results are determined based on the different mineral types and their proportions; the mineral composition analysis results characterize the relationship between mineral composition and rock crack initiation patterns.

[0074] The location of rock fracture propagation was determined using the mineral composition analysis results from the rock sample.

[0075] When the rock is in a crystalline structure at the microscopic level, analysis is performed based on the types of substances contained in the rock and the diffraction data of those substances to determine the location of the rock's burst crack propagation. Specifically, this includes:

[0076] By comparing the diffraction data of rock powder from the fractured area and rock powder from the unfractured area, the diffraction peak of the substance with the highest mineral content in the rock is determined.

[0077] The crystal structure analysis results are determined based on the diffraction peaks of the mineral with the highest content; the crystal structure analysis results characterize the crystal structure and the crack initiation pattern of the rock.

[0078] The location of rock burst crack propagation was determined using the crystal structure analysis results from the rock sample.

[0079] At the microscopic level, focusing on mineral composition and crystal structure, analysis was performed based on the types of substances contained in the rock and their diffraction data to determine the propagation locations of rock fractures. Specifically, this included:

[0080] The types of substances contained in the rock are compared between the rock powder from the crack initiation point and the rock powder from the non-crack initiation point to determine the different mineral types and mineral types percentages of the two groups of powders; the mineral type percentage is the percentage of mineral types whose difference in the percentage of the same mineral type between the two groups of powders is greater than a set threshold.

[0081] The mineral composition analysis results are determined based on the different mineral types and their proportions; the mineral composition analysis results characterize the relationship between mineral composition and rock crack initiation patterns.

[0082] By comparing the diffraction data of rock powder from the fractured area and rock powder from the unfractured area, the diffraction peak of the substance with the highest mineral content in the rock is determined.

[0083] The crystal structure analysis results are determined based on the diffraction peaks of the mineral with the highest content; the crystal structure analysis results characterize the crystal structure and the crack initiation pattern of the rock.

[0084] The location of rock burst crack propagation was determined using the mineral composition analysis results and the crystal structure analysis results from the rock sample.

[0085] Regarding mineral composition, we can analyze whether the mineral composition of the initiating and non-initiating groups is similar, such as whether they are both composed of quartz, feldspar, or mica. If the types are different, we can analyze the diffraction patterns and peak fitting of different types of substances, or analyze which substance caused the rock to crack based on the shape or position of the diffraction peaks. If the types are similar, we can select several substances with high content and analyze whether there are significant differences in the content and proportion of the same substances in the initiating and non-initiating groups. Then, we can analyze the peak shape, peak width, or relative intensity of the diffraction peaks to infer the decisive factors that caused the rock to crack.

[0086] Regarding crystal structure, the diffraction patterns of the fractured and non-fractured groups are first observed to analyze the types and contents of phases in different crystal structures, as well as the corresponding unit cell parameters or crystal sizes. Furthermore, the position and width variations of diffraction peaks corresponding to the same crystal structure in both groups can be analyzed to determine the residual stress distribution in the material, thereby assessing the material's mechanical properties and stability. Alternatively, the shape and position variations of diffraction peaks corresponding to different crystal structures can be analyzed to determine the lattice parameters and structural characteristics of the crystalline material, thereby assessing the material's quality and performance. Additionally, the peak shape and width in the diffraction patterns can be analyzed to obtain information such as the crystallinity and crystal size of the crystalline material.

[0087] The above results were synthesized and analyzed to determine the specific reasons why obvious cracks appeared in certain parts of the rock under the action of the explosion.

[0088] This invention addresses the differences in the microscopic structure of rocks at the blast initiation and non-cracking points, proposing a predictive method for determining crack propagation in rocks under blast impact based on microscopic mineral composition or crystal structure.

[0089] Generally, the location of internal cracks in rocks under the impact of explosives is unpredictable; some areas show obvious cracks, while others remain crack-free. To address this, after the rock explosion, random samples of rock powder can be collected from the crack initiation points, and then random samples from crack-free areas can be collected for comparison. This allows for a microscopic study of the possible causes of the cracks. The specific location of cracks during an explosion can be predicted based on the composition or content of certain minerals within the rock. Specific applications are as follows:

[0090] (1) Taking marble as an example, we study its crack propagation behavior under blasting impact from a microscopic perspective.

[0091] (2) After completing diffraction detection and phase analysis, specific data on the marble at the crack initiation and non-crack initiation points were obtained. These data were then used to draw diffraction images of the marble using Origin software, such as... Figure 1 As shown, Figure 1 The horizontal axis represents the diffraction angle, and the vertical axis represents the relative intensity.

[0092] (3) Figure 1 In the selection, two substances with higher content were chosen from the crack initiation and uncracked areas of the marble: Ca. 6.00 C 6.00 O 18.00 and Ca 5.62 Mg 0.38 C 6.00 O 18.00 , Figure 1 The upper middle image is the diffraction image of the marble before cracking, and the lower image is the diffraction image of the marble at the point of cracking.

[0093] (4) By performing phase analysis on the fractured and non-fractured groups using software, relevant information about the minerals contained in the rock can be obtained. Double-clicking a substance in the software will bring up its diffraction card, such as... Figure 3 and Figure 4 As shown, the card will provide detailed diffraction data, such as the interplanar spacing and crystal indices of the two substances.

[0094] (5) Analysis of mineral composition Figure 1 In the marble where no cracks have formed, the substance present in higher concentrations is Ca. 6.00 C 6.00 O 18.00 It accounts for 55% and is mainly composed of three elements: Ca, C, and O. The substance with a higher content at the crack initiation point of marble is Ca. 5.62 Mg0.38 C 6.00 O 18.00 The mineral composition is 45%, with Ca, Mg, C, and O being the main elements. This indicates that the main mineral types and elemental composition differ between the initiating and non-initiating groups. Compared to the non-initiating group, the initiating group contains Mg (1.27%) and Ca (18.73%), while the non-initiating group contains only 20% Ca. It can be inferred that the presence of Mg in the initiating group may have caused brittleness or microscopic defects, making the rock more fragile and prone to cracking. Alternatively, a decrease in Ca content may have weakened the rock's strength to some extent.

[0095] (6) Based on the analysis of the crystal lattice structure, Figure 1 In the analysis, it is evident that the diffraction peaks of the two materials with high content in the fractured and unfractured marble groups are very similar, almost one-to-one, with most peak shapes and values ​​being similar. However, closer observation reveals slight differences in the diffraction peaks around diffraction angles of 50° and 60°, with slightly different peak shape fluctuations. The specific positions of these diffraction peaks can be measured, the corresponding interplanar spacings calculated, and then compared. Furthermore, the diffraction peaks of the fractured group are wider than those of the unfractured group. At diffraction angles of 30°, 40°, 48°, 62°, and 77°, the diffraction peaks corresponding to the fractured group are wider than those of the unfractured group, indicating that the crystal size of the fractured group is smaller or defective at these locations, making the rock more prone to fracture initiation.

[0096] (7) As can be seen from the above analysis, when the content or types of certain metallic elements increase in rocks, the rocks are more prone to fracture. This is because the presence of certain metallic elements may introduce brittle phases or microscopic defects, thereby reducing the toughness and crack resistance of the rocks. For example, in marble, the metallic element Mg reacts chemically with other components to form a new crystal structure Ca. 5.62 Mg 0.38 C 6.00 O 18.00 This leads to unstable rock structure and the formation of brittle phases, making the rock more prone to fracture. Furthermore, when multiple metallic elements are present in a rock, their interactions may create new compounds, which can also cause the rock to become more brittle and prone to fracture.

[0097] The present invention also provides a rock burst crack propagation prediction system, comprising:

[0098] The acquisition module is used to acquire rock powder after blasting; the rock powder includes rock powder from the cracked area and rock powder from the uncracked area.

[0099] The diffraction detection module is used to perform diffraction detection on the rock powder to obtain a diffraction image.

[0100] The phase analysis module is used to perform phase analysis based on the diffraction image to obtain the types of substances contained in the rock and the diffraction data of the substances contained in the rock.

[0101] The crack analysis module is used to analyze the rock from a microscopic perspective based on the types of substances contained in the rock and the diffraction data of the substances contained in the rock, and to obtain the location of the rock burst crack propagation; the microscopic perspective refers to the mineral composition and / or crystal structure.

[0102] As an optional implementation, the acquisition module specifically includes:

[0103] The rock selection unit is used to select rock samples that have the same physical and mechanical characteristics as actual engineering rocks; the rock samples are in the shape of standard geometric shapes.

[0104] The blasting unit is used to cut a slot at the geometric center of the rock sample and fill the bottom of the slot with explosives to blast the rock, thereby obtaining the blasted rock.

[0105] The random selection unit is used to randomly select rock powder from cracked areas in the blasted rock and to randomly select rock powder from uncracked areas in the blasted rock.

[0106] As an optional implementation, the diffraction detection module specifically includes:

[0107] The detection data determination unit is used to put the rock powder into an XRD diffractometer for detection and obtain detection data.

[0108] The diffraction image determination unit is used to input the detection data into HighScore Plus software to obtain a diffraction image.

[0109] The present invention also provides an electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon; wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the method described herein.

[0110] The present invention also provides a computer storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method described thereon.

[0111] The method provided by this invention has the following main advantages:

[0112] 1. This method analyzes the existing mineral composition or crystal structure of rocks to link the rock's microscopic properties with crack propagation behavior during blasting, thereby predicting the random microcracks that appear in rocks under explosive impact. Different mineral compositions and crystal structures may have different strengths, fracture toughness, and fracture paths, which directly affect the crack propagation behavior of rocks. For example, harder minerals may resist crack propagation, while brittle minerals may be prone to fracture.

[0113] 2. By quantitatively analyzing the microscopic characteristics of rocks, parameters related to crack propagation can be obtained, such as the fracture toughness of crystals, which is a measure of a material's resistance to fracture. Measuring the fracture toughness of crystals allows for the assessment of the rock's stability and resistance to crack propagation during the process. Furthermore, the energy required for crack propagation can be calculated to evaluate the energy consumed by the rock during crack propagation, thus providing a better understanding of the rock's fracture behavior.

[0114] 3. Microscopic analysis allows for a comprehensive consideration of the combined effects of multiple factors on crack propagation, including crystal properties, mineral composition and content, and crystal structure. This method provides more refined information and can improve the accuracy of predicting crack propagation behavior. By analyzing the microscopic properties of rocks, the strength, fracture characteristics, and crack propagation paths of rocks can be more accurately assessed, thereby improving prediction accuracy. For example, when a rock contains minerals with high fracture toughness, crack propagation may be hindered to some extent, thus affecting the crack path and propagation rate.

[0115] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the systems disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple; relevant parts can be referred to the method section.

[0116] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. Furthermore, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for predicting the propagation of rock burst cracks, characterized in that, include: Obtain rock powder after blasting; the rock powder includes rock powder from the cracked area and rock powder from the uncracked area; The rock powder was subjected to diffraction analysis to obtain a diffraction image; Phase analysis was performed based on the diffraction images to obtain the types of substances contained in the rock and the diffraction data of the substances contained in the rock. The location of rock fracture propagation is determined by analyzing the types of substances contained in the rock and the diffraction data of those substances at a microscopic level; the microscopic level refers to the mineral composition and / or crystal structure. When the microscopic perspective focuses on mineral composition, analysis is performed at the microscopic level based on the types of substances contained in the rock and the diffraction data of those substances to determine the location of rock fracture propagation. Specifically, this includes: The types of substances contained in the rock are compared between the rock powder from the crack initiation point and the rock powder from the non-crack initiation point to determine the different mineral types and the proportion of mineral types in the two groups of powders; the proportion of mineral types is the proportion of mineral types whose difference in the proportion of the same mineral type between the two groups of powders is greater than a set threshold. The mineral composition analysis results are determined based on the different mineral types and their proportions; the mineral composition analysis results characterize the relationship between mineral composition and rock crack initiation patterns. The location of rock burst crack propagation was determined using the mineral composition analysis results from the rock sample. When the microscopic perspective is that of a crystalline structure, the location of rock fracture propagation is obtained by analyzing the types of substances contained in the rock and the diffraction data of those substances at the microscopic level. Specifically, this includes: By comparing the diffraction data of the rock powder at the crack initiation point and the rock powder at the non-crack initiation point, the diffraction peak of the substance with the highest mineral content in the rock is determined. The crystal structure analysis results are determined based on the diffraction peaks of the mineral with the highest content; the crystal structure analysis results characterize the crystal structure and the crack initiation pattern of the rock. The location of rock burst crack propagation was determined using the crystal structure analysis results from the rock sample. When the microscopic perspective focuses on mineral composition and crystal structure, analysis is performed at the microscopic level based on the types of substances contained in the rock and the diffraction data of those substances to determine the location of rock fracture propagation. Specifically, this includes: The types of substances contained in the rock are compared between the rock powder from the crack initiation point and the rock powder from the non-crack initiation point to determine the different mineral types and the proportion of mineral types in the two groups of powders; the proportion of mineral types is the proportion of mineral types whose difference in the proportion of the same mineral type between the two groups of powders is greater than a set threshold. The mineral composition analysis results are determined based on the different mineral types and their proportions; the mineral composition analysis results characterize the relationship between mineral composition and rock crack initiation patterns. By comparing the diffraction data of the rock powder at the crack initiation point and the rock powder at the non-crack initiation point, the diffraction peak of the substance with the highest mineral content in the rock is determined. The crystal structure analysis results are determined based on the diffraction peaks of the mineral with the highest content; the crystal structure analysis results characterize the crystal structure and the crack initiation pattern of the rock. The location of rock burst crack propagation was determined using the mineral composition analysis results and the crystal structure analysis results from the rock sample.

2. The method for predicting rock burst crack propagation according to claim 1, characterized in that, Obtaining rock powder after blasting, specifically including: Select rock specimens with physical and mechanical properties identical to those of actual engineering rocks; the rock specimens shall be of standard geometric shape. A slot is cut at the geometric center of the rock sample, and explosives are filled at the bottom of the slot for blasting to obtain the blasted rock. Rock powder from areas where cracks appeared after blasting was randomly selected, and rock powder from areas where no cracks appeared after blasting was randomly selected.

3. The method for predicting the propagation of rock burst cracks according to claim 1, characterized in that, The rock powder is subjected to diffraction detection to obtain a diffraction image, specifically including: The rock powder was placed in an XRD diffractometer for testing to obtain test data; The detection data is input into HighScore Plus software to obtain a diffraction image.

4. The method for predicting the propagation of rock burst cracks according to claim 1, characterized in that, Phase analysis is performed based on the diffraction images to obtain the types of substances contained in the rock and the diffraction data of the substances contained in the rock, specifically including: The diffraction images were automatically retrieved using HighScore Plus software to determine the types of substances contained in the rock. HighScore Plus software was used to determine the diffraction data of the rock's constituent materials based on their types.

5. A rock burst crack propagation prediction system, characterized in that, include: The acquisition module is used to acquire rock powder after blasting; the rock powder includes rock powder from the cracked area and rock powder from the uncracked area. A diffraction detection module is used to perform diffraction detection on the rock powder to obtain a diffraction image; The phase analysis module is used to perform phase analysis based on the diffraction image to obtain the types of substances contained in the rock and the diffraction data of the substances contained in the rock; The crack analysis module is used to analyze the rock from a microscopic perspective based on the types of substances contained in the rock and the diffraction data of the substances contained in the rock, and to obtain the location of the rock burst crack propagation; the microscopic perspective refers to the mineral composition and / or crystal structure. When the microscopic perspective focuses on mineral composition, analysis is performed at the microscopic level based on the types of substances contained in the rock and the diffraction data of those substances to determine the location of rock fracture propagation. Specifically, this includes: The types of substances contained in the rock are compared between the rock powder from the crack initiation point and the rock powder from the non-crack initiation point to determine the different mineral types and the proportion of mineral types in the two groups of powders; the proportion of mineral types is the proportion of mineral types whose difference in the proportion of the same mineral type between the two groups of powders is greater than a set threshold. The mineral composition analysis results are determined based on the different mineral types and their proportions; the mineral composition analysis results characterize the relationship between mineral composition and rock crack initiation patterns. The location of rock burst crack propagation was determined using the mineral composition analysis results from the rock sample. When the microscopic perspective is that of a crystalline structure, the location of rock fracture propagation is obtained by analyzing the types of substances contained in the rock and the diffraction data of those substances at the microscopic level. Specifically, this includes: By comparing the diffraction data of the rock powder at the crack initiation point and the rock powder at the non-crack initiation point, the diffraction peak of the substance with the highest mineral content in the rock is determined. The crystal structure analysis results are determined based on the diffraction peaks of the mineral with the highest content; the crystal structure analysis results characterize the crystal structure and the crack initiation pattern of the rock. The location of rock burst crack propagation was determined using the crystal structure analysis results from the rock sample. When the microscopic perspective focuses on mineral composition and crystal structure, analysis is performed at the microscopic level based on the types of substances contained in the rock and the diffraction data of those substances to determine the location of rock fracture propagation. Specifically, this includes: The types of substances contained in the rock are compared between the rock powder from the crack initiation point and the rock powder from the non-crack initiation point to determine the different mineral types and the proportion of mineral types in the two groups of powders; the proportion of mineral types is the proportion of mineral types whose difference in the proportion of the same mineral type between the two groups of powders is greater than a set threshold. The mineral composition analysis results are determined based on the different mineral types and their proportions; the mineral composition analysis results characterize the relationship between mineral composition and rock crack initiation patterns. By comparing the diffraction data of the rock powder at the crack initiation point and the rock powder at the non-crack initiation point, the diffraction peak of the substance with the highest mineral content in the rock is determined. The crystal structure analysis results are determined based on the diffraction peaks of the mineral with the highest content; the crystal structure analysis results characterize the crystal structure and the crack initiation pattern of the rock. The location of rock burst crack propagation was determined using the mineral composition analysis results and the crystal structure analysis results from the rock sample.

6. An electronic device, characterized in that, include: One or more processors; A storage device on which one or more programs are stored; When the one or more programs are executed by the one or more processors, the one or more processors cause the one or more processors to implement the method as described in any one of claims 1 to 4.

7. A computer storage medium, characterized in that, It stores a computer program thereon, wherein the computer program, when executed by a processor, implements the method as described in any one of claims 1 to 4.

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