Stress flow early warning method and device for rock burst, electronic device and storage medium

Abstract

The present disclosure discloses a stress flow warning method and device, an electronic device and a storage medium for rock burst, and relates to the field of data processing technology. Compared with related technologies, the embodiments of the present application calculate stress flow, combine the situation when similar models are destroyed, and comprehensively analyze and derive a preset dynamic yield surface model of stress flow affecting coal rock mass. By simulating different coal rock structures, an experiment between stress flow and coal rock mass instability is obtained, and a rock burst warning threshold based on stress flow is set. Different warning thresholds exist for different structural conditions, thereby improving the prediction accuracy of rock burst.

Description

Technical Field

[0001] The present disclosure relates to the field of data processing technology, and in particular to a stress flow early warning method and device for rock burst, an electronic device, and a storage medium. Background Art

[0002] Currently, stress flow early warning methods for rock bursts are primarily based on stress control theory, using structural stress monitoring to provide early warnings. Stress monitoring methods are primarily categorized into destructive and non-destructive monitoring. Destructive monitoring is best represented by the drill cuttings method, which involves drilling a hole into the structure and assessing the amount of drill cuttings and strain in the hole. Non-destructive monitoring methods abound, including microseismic monitoring, geoacoustic monitoring, and electromagnetic radiation monitoring. These methods primarily use geophysical characteristics to invert stress and strain, providing early warnings for potential rock bursts. While these two early warning methods can provide early warnings for rock bursts to a certain extent, they suffer from large warning errors and are prone to misjudgment. Summary of the Invention

[0003] The present disclosure provides a stress flow early warning method, device, electronic device, and storage medium for rock burst. According to a first aspect of the present disclosure, a stress flow early warning method for rock burst is provided, comprising:

[0004] Performing load tests on a preset number of different similar models based on a preset pressurization method, and obtaining deformation data and stress flow data of the similar models; wherein the different similar models have different construction conditions;

[0005] determining a correlation between the stress flow data and the deformation data;

[0006] Obtaining a preset dynamic yield surface model, and performing numerical simulation based on the preset dynamic yield surface model to obtain critical characteristics of rock burst under different stresses and different structural conditions;

[0007] Based on the deformation data and stress flow data of the similarity model, the preset dynamic yield surface model and the results of the numerical simulation, the stress flow warning value under mining conditions and structural conditions is determined.

[0008] Optionally, performing load tests on a preset number of different similar models based on a preset pressurization method and obtaining deformation data and stress flow data of the similar models includes:

[0009] determining a total value of the static load on the similar model based on the similarity scale;

[0010] Loads are applied to the top and left and right sides of the similar model in preset stages until the load value reaches the total load value, and the evolution data of the deformation field and crack field of the similar model and the static load stress flow data are collected based on a preset collection method.

[0011] Optionally, performing load tests on a preset number of different similar models based on a preset pressurization method and obtaining deformation data and stress flow data of the similar models includes:

[0012] Different dynamic loads are applied to the different similar models, and evolution data of the deformation field and crack field and dynamic stress flow data of the similar models are collected based on a preset collection method; wherein the disturbance frequencies and disturbance amplitudes of the different dynamic loads are different.

[0013] Optionally, determining the correlation between the stress flow data and the deformation data includes:

[0014] Calculating the outer envelope of the static stress vector according to the static stress flow data and the dynamic stress flow vector according to the dynamic stress flow data;

[0015] Combined with the static load stress vector, the outer envelope surface of the dynamic load stress flow vector, the evolution data of the deformation field and crack field of the similar model corresponding to the static load, and the evolution data of the deformation field and crack field of the similar model corresponding to the dynamic load, the stress flow precursor characteristics of the impact rock pressure of different similar models are determined.

[0016] Optionally, before obtaining a preset dynamic yield surface model and performing numerical simulation based on the preset dynamic yield surface model to obtain critical characteristics of rock burst under different stresses and different structural conditions, the method further includes:

[0017] The preset dynamic yield surface model is established based on non-local hardening parameters and internal time variables.

[0018] Optionally, the determining of the stress flow warning value under mining conditions and structural conditions based on the deformation data and stress flow data of the similarity model, the preset dynamic yield surface model and the result of the numerical simulation includes:

[0019] According to the results of the numerical simulation under the different structural conditions and the stress flow precursor characteristics of the rock burst of the different similar models, the stress flow warning values ​​of the rock burst under different mining conditions and structural conditions are determined.

[0020] According to a second aspect of the present disclosure, a stress flow early warning device for rock burst is provided, comprising:

[0021] an acquisition unit, configured to perform load tests on a preset number of different similar models based on a preset pressurization method, and acquire deformation data and stress flow data of the similar models; wherein the construction conditions of the different similar models are different;

[0022] a first determining unit, configured to determine a correlation between the stress flow data and the deformation data;

[0023] A simulation unit is used to obtain a preset dynamic yield surface model and perform numerical simulation based on the preset dynamic yield surface model to obtain critical characteristics of rock burst under different stresses and different structural conditions;

[0024] The second determination unit is used to determine the stress flow warning value under mining conditions and structural conditions based on the deformation data and stress flow data of the similar model, the preset dynamic yield surface model and the results of the numerical simulation.

[0025] Optionally, the acquiring unit is further configured to:

[0026] determining a total value of the static load on the similar model based on the similarity scale;

[0027] Loads are applied to the top and left and right sides of the similar model in preset stages until the load value reaches the total load value, and the evolution data of the deformation field and crack field of the similar model and the static load stress flow data are collected based on a preset collection method.

[0028] Optionally, the acquiring unit is further configured to:

[0029] Different dynamic loads are applied to the different similar models, and evolution data of the deformation field and crack field and dynamic stress flow data of the similar models are collected based on a preset collection method; wherein the disturbance frequencies and disturbance amplitudes of the different dynamic loads are different.

[0030] Optionally, the first determining unit is further configured to:

[0031] Calculating the outer envelope of the static stress vector according to the static stress flow data and the dynamic stress flow vector according to the dynamic stress flow data;

[0032] Combined with the static load stress vector, the outer envelope surface of the dynamic load stress flow vector, the evolution data of the deformation field and crack field of the similar model corresponding to the static load, and the evolution data of the deformation field and crack field of the similar model corresponding to the dynamic load, the stress flow precursor characteristics of the impact rock pressure of different similar models are determined.

[0033] Optionally, the device further comprises:

[0034] A unit is established to obtain a preset dynamic yield surface model in a simulation unit, and to perform numerical simulation based on the preset dynamic yield surface model to obtain the critical characteristics of rock burst under different stresses and different structural conditions, and then to establish the preset dynamic yield surface model based on non-local hardening parameters and internal time variables.

[0035] Optionally, the second determining unit is further configured to:

[0036] According to the results of the numerical simulation under the different structural conditions and the stress flow precursor characteristics of the rock burst of the different similar models, the stress flow warning values ​​of the rock burst under different mining conditions and structural conditions are determined.

[0037] According to a third aspect of the present disclosure, there is provided an electronic device, including:

[0038] at least one processor; and

[0039] a memory communicatively connected to the at least one processor; wherein,

[0040] The memory stores instructions that can be executed by the at least one processor. The instructions are executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect.

[0041] According to a fourth aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable the computer to execute the method described in the first aspect.

[0042] According to a fifth aspect of the present disclosure, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the method as described in the first aspect above.

[0043] The present disclosure provides a stress flow warning method, device, electronic device, and storage medium for rock burst. The main technical solutions of the present application include: performing load tests on a preset number of different similar models based on a preset pressurization method, and obtaining deformation data and stress flow data of the similar models; wherein the structural conditions of the different similar models are different; determining the correlation between the stress flow data and the deformation data; obtaining a preset dynamic yield surface model, and performing numerical simulation based on the preset dynamic yield surface model to obtain critical characteristics of rock burst under different stresses and different structural conditions; and determining stress flow warning values ​​under mining conditions and structural conditions based on the deformation data and stress flow data of the similar models, the preset dynamic yield surface model, and the results of the numerical simulation. Compared with the related art, the embodiment of the present application calculates stress flow, combines the situation when the similar model is destroyed, and comprehensively analyzes and derives a preset dynamic yield surface model of the stress flow affecting the coal rock mass. By simulating different coal rock structures, the relationship between stress flow and coal rock mass instability is obtained, and a rock burst warning threshold based on stress flow is set. Different warning thresholds exist for different structural conditions, thereby improving the prediction accuracy of rock burst.

[0044] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The accompanying drawings are provided to facilitate a better understanding of the present invention and do not constitute a limitation of the present disclosure.

[0046] Figure 1 A schematic flow chart of a stress flow early warning method for rock burst provided by an embodiment of the present disclosure;

[0047] Figure 2 A schematic flow chart of a stress flow early warning method for rock burst provided by an embodiment of the present disclosure;

[0048] Figure 3 A schematic flow chart of a stress flow early warning method for rock burst provided by an embodiment of the present disclosure;

[0049] Figure 4 A schematic diagram of stress flow characterization provided in an embodiment of the present application;

[0050] Figure 5 A schematic diagram of a stress flow vector provided in an embodiment of the present application;

[0051] Figure 6 A schematic structural diagram of a rock burst warning device provided in an embodiment of the present disclosure;

[0052] Figure 7 A schematic structural diagram of a stress flow early warning device for rock burst provided in an embodiment of the present disclosure;

[0053] Figure 8 A schematic block diagram of an exemplary electronic device provided for an embodiment of the present disclosure. DETAILED DESCRIPTION

[0054] The following description of exemplary embodiments of the present disclosure is made in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding. These details should be considered as merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0055] The following describes the stress flow early warning method, device, electronic device and storage medium for rock burst according to the embodiments of the present disclosure with reference to the accompanying drawings.

[0056] Figure 1A schematic flow chart of a stress flow early warning method for rock burst provided in an embodiment of the present disclosure.

[0057] like Figure 1 As shown, the method comprises the following steps:

[0058] Step 101 : performing load tests on a preset number of different similar models based on a preset pressurization method, and obtaining deformation data and stress flow data of the similar models; wherein the construction conditions of the different similar models are different.

[0059] In some embodiments, before executing this step, a similar model is made, wherein the similar model is used to simulate the distribution of the bottom layer of a real mine, such as the distribution of rock layers, rock layer thickness, rock layer inclination, etc. In some embodiments, different types of materials can be used instead based on the characteristics of different rock layers, such as using foamed ceramics, gypsum, barite powder, water, gypsum and electro-optical paper materials, etc., to simulate coal seams with different inclinations, roof and floor rock layers, structural surfaces of mine rock layers, large faults and fracture surfaces. Specifically, the embodiments of the present application are not limited to this. It should be noted that a mine of preset size needs to be reserved in the coal seam. Load experiments are carried out by similar models of different structures. Through differential settings, the load for mines under different structural conditions in more cases can be simulated.

[0060] In some embodiments, when performing a load test, stress flow data and deformation data may be collected based on strain gauges, displacement sensors, pressure gauges, etc. Specifically, the embodiments of the present application do not limit the collection method.

[0061] Step 102: Determine the correlation between the stress flow data and the deformation data.

[0062] The dynamic stress flow data are combined with the model deformation and failure processes to reveal the stress flow precursor characteristics before and after the coal rock mass rupture under stress, and to clarify the intrinsic correlation between stress flow and coal rock mass rupture and the occurrence of rock burst.

[0063] Step 103: Obtain a preset dynamic yield surface model, and perform numerical simulation based on the preset dynamic yield surface model to obtain critical characteristics of rock burst under different stresses and different structural conditions.

[0064] The dynamic yield surface model is a theoretical model that describes the yield behavior of materials under dynamic loading conditions. This model takes into account the strain rate effect, that is, the yield characteristics of the material change with the change of strain rate.

[0065] In some embodiments, appropriate numerical simulation software, such as finite element analysis software, is selected for simulation analysis. The software sets relevant parameters for the dynamic yield surface model, such as the material's mechanical properties and loading conditions. The simulation is then run to calculate the material's response under various stresses and structural conditions, thereby determining the critical state of the material under rock burst pressure, i.e., the critical conditions for rock burst pressure generation.

[0066] Step 104 : determining the stress flow warning value under mining conditions and structural conditions based on the deformation data and stress flow data of the similar model, the preset dynamic yield surface model and the results of the numerical simulation.

[0067] Combining the results of experimental simulation, theoretical derivation and numerical simulation, the stress flow warning value of rock burst under specific mining conditions and structural conditions is systematically determined.

[0068] The stress flow warning method for rock burst provided by the present disclosure includes the following main technical solutions: based on a preset pressurization method, a load test is performed on a preset number of different similar models, and deformation data and stress flow data of the similar models are obtained; wherein the structural conditions of different similar models are different; the correlation between the stress flow data and the deformation data is determined; a preset dynamic yield surface model is obtained, and numerical simulation is performed based on the preset dynamic yield surface model to obtain critical characteristics of rock burst under different stresses and different structural conditions; based on the deformation data and stress flow data of the similar models, the preset dynamic yield surface model and the results of the numerical simulation, the stress flow warning value under mining conditions and structural conditions is determined. Compared with the related art, the embodiment of the present application calculates stress flow, combines the situation when the similar model is destroyed, and comprehensively analyzes and derives a preset dynamic yield surface model of stress flow affecting the coal rock mass, simulates different coal rock structures to obtain the test between stress flow and coal rock mass instability, sets a rock burst warning threshold based on stress flow, and has different warning thresholds for different structural conditions, thereby improving the prediction accuracy of rock burst.

[0069] In some embodiments, loads are divided into dynamic loads and static loads, wherein dynamic loads include vibrations and extrusions generated during coal mining, and static loads are the extrusion forces between geology. Therefore, when executing step 1, static loads and dynamic loads need to be simulated separately. Figure 2 , Figure 2 A schematic flow diagram of a stress flow early warning method for rock burst provided in an embodiment of the present disclosure includes:

[0070] Step 201 : determining a total static load value for the similar model based on a similarity scale.

[0071] In some embodiments, if the size of the model is 1 / 10 of the prototype, the geometric scale is 1:10; specifically, it can be determined according to the size of the model, and this embodiment of the application is not limited to this. In some embodiments, the stress scale is generally proportional to the square of the geometric scale.

[0072] In step 202, loads are applied to the top and left and right sides of the similar model according to preset stages until the load value reaches the total load value, and evolution data of the deformation field and crack field and static load stress flow data of the similar model are collected based on a preset collection method.

[0073] First, an initial load of approximately 1 MPa was applied to the top and left and right sides of the model. Second, while the horizontal loads on the left and right sides remained fixed, a top load was applied to 50% of the predetermined total top load. Then, while the vertical load on the top remained fixed, a horizontal load was applied to 80% of the predetermined total horizontal load. Finally, the top load and the left and right horizontal loads were applied simultaneously to the predetermined total load. Acoustic emission monitoring, high-speed cameras, and digital image correlation (DIC) were used to measure the deformation and crack field evolution of the model surface in real time.

[0074] Optionally, when performing a dynamic load test, the test may be performed according to the following steps, including:

[0075] Different dynamic loads are applied to the different similar models, and evolution data of the deformation field and crack field and dynamic stress flow data of the similar models are collected based on a preset collection method; wherein the disturbance frequencies and disturbance amplitudes of the different dynamic loads are different.

[0076] In some embodiments, a controllable medium and low frequency separated Hopkinson bar (SHPB) impact test device can be combined with a biaxial loading and unloading similar physical simulation test system, and the SHPB's special-shaped bullet head can realize controllable excitation of the incident wave by changing the shape, material, length and impact speed of the bullet head. More than 10 types of mining dynamic load stress wave inputs are simulated. Under the control of dynamic similarity theory, the SHPB test disturbance frequency and disturbance amplitude are similar to the actual mining stress waves at the engineering site, and the disturbance of the dynamic load stress wave on the tunnel surrounding rock and the triggering effect on the impact ground pressure are observed by a high-speed camera. It should be noted that the above mining dynamic load stress wave input is set to 10 for an exemplary description, and the embodiments of the present application do not limit this.

[0077] In some embodiments, since the directions of the dynamic load and the static load are different, the calculation methods are also different. For specific calculations, please refer to the following steps. Figure 3 , Figure 3 A schematic flow diagram of a stress flow early warning method for rock burst provided in an embodiment of the present disclosure includes:

[0078] Step 301 : Calculate the static stress vector according to the static stress flow data and calculate the outer envelope of the dynamic stress flow vector according to the dynamic stress flow data.

[0079] The static load stress flow is characterized by calculating the stress flow vector, and the spatial state of the dynamic load stress flow is characterized by calculating the outer envelope of the dynamic load stress flow vector. The dynamic load stress flow envelope of different particles is used to draw stress streamlines in space, such as Figure 4 and Figure 5 As shown, Figure 4 A schematic diagram of stress flow characterization provided in an embodiment of the present application; Figure 5 A schematic diagram of a stress flow vector provided in an embodiment of the present application.

[0080] Step 302: Determine the stress flow precursor characteristics of rock bursts of different similar models by combining the static load stress vector, the outer envelope of the dynamic load stress flow vector, the evolution data of the deformation field and the crack field of the similar model corresponding to the static load, and the evolution data of the deformation field and the crack field of the similar model corresponding to the dynamic load.

[0081] The calculation results of stress flow under dynamic and static loads are combined with the model deformation and failure process captured by high-speed cameras under static and dynamic load tests, respectively, to reveal the precursory characteristics of stress flow before and after coal rock fracture under dynamic and static loads, and to clarify the intrinsic correlation between stress flow and coal rock fracture and rock burst.

[0082] When determining the stress flow precursor characteristics of rock bursts of different similar models, it is necessary to combine the outer envelope of the static load stress vector, the dynamic load stress flow vector, and the evolution data of the deformation field and crack field of the similar models corresponding to the static and dynamic loads.

[0083] The static stress vector refers to the stress distribution and direction within a model under static loading conditions. This stress state does not change over time and provides information about the model's stress response under constant load. Static loading tests can provide data on the evolution of the deformation and crack fields of similar models under static loading. This data reflects the model's failure process and mechanical behavior under static loading.

[0084] The dynamic stress flow vector describes the stress changes and flow trends within a model under dynamic loading conditions. Unlike the static stress flow vector, the dynamic stress flow vector takes time into account and can reflect the propagation and evolution of stress within the model. Dynamic loading tests can provide data on the evolution of the deformation and crack fields of similar models under dynamic loading conditions. This data reveals the dynamic response and failure mechanisms of the model under dynamic loading.

[0085] The outer envelope is the surface connecting the tips of the static stress vector and the dynamic stress flow vector. It represents the maximum stress state that the model can reach under different loading conditions. By analyzing the shape and changes of the outer envelope, we can understand the load-bearing capacity and failure risk of the model under different loading conditions.

[0086] Under dynamic and static loads, stress within the model will redistribute. By analyzing the pattern of stress redistribution, we can identify precursory features of rock bursts, such as areas of stress concentration and potential fracture surfaces. Rock bursts are often accompanied by the accumulation and sudden release of energy. By monitoring energy changes within the model, we can provide early warning of rock burst risks.

[0087] Before a rock burst occurs, the model usually shows some precursory phenomena, such as the rapid expansion of small cracks and a sharp increase in local deformation. These phenomena can be captured by equipment such as high-speed cameras and combined with stress flow precursor characteristics to improve the accuracy of early warning.

[0088] In some embodiments, a dynamic yield surface model needs to be established in advance, and the specific steps include:

[0089] The preset dynamic yield surface model is established based on non-local hardening parameters and internal time variables.

[0090] From the perspective of stress gradient, we establish a theoretical relationship between stress flow and coal and rock mass failure, and even rock burst. We consider the influence of non-local stress gradient zones in the material hardening strain parameters and introduce non-local hardening parameters. On the other hand, we draw on the idea of ​​endogenous temporal constitutive theory and introduce endogenous temporal variables into the plastic yield surface to simulate the change of the yield surface over time. The dynamic yield surface model formula is:

[0091]

[0092] Where, σ is the stress tensor; k is the hardening strain parameter; is the nonlocal hardening parameter; ζ is the internal time variable.

[0093] The non-local hardening parameter and the internal time variable jointly reflect the influence of stress changes in time and space on the coal rock strength theory (i.e., yield criterion). The new yield surface constructed can be called a dynamic yield surface model.

[0094] In some embodiments, determining the stress flow warning value under mining conditions and structural conditions based on the deformation data and stress flow data of the similarity model, the preset dynamic yield surface model, and the results of the numerical simulation includes:

[0095] According to the results of the numerical simulation under the different structural conditions and the stress flow precursor characteristics of the rock burst of the different similar models, the stress flow warning values ​​of the rock burst under different mining conditions and structural conditions are determined.

[0096] In order to simulate the coal-rock failure and rock burst process, the Fortran language was used to integrate the stress flow vector and stress flow envelope calculation program into the peri-field dynamics and finite element coupling software PDCF. This method can simulate both the coal-rock failure and rock burst as well as the formation and evolution of stress flow. The feedback mechanism between static and dynamic stress flow and the fracture and plastic zone evolution of coal-rock mass was clarified. The critical characteristics and precursor information of rock burst caused by stress flow under different mining conditions and different structural conditions were determined. The intrinsic mechanism of stress flow-induced coal-rock failure and rock burst was systematically revealed.

[0097] Corresponding to the aforementioned rockburst stress flow warning method, the present invention also provides a rockburst stress flow warning device. Since the device embodiment of the present invention corresponds to the aforementioned method embodiment, details not disclosed in the device embodiment can be referred to the aforementioned method embodiment and will not be further described in this invention.

[0098] Figure 6 A schematic diagram of a stress flow warning device for rock burst according to an embodiment of the present disclosure is shown in FIG. Figure 6 As shown, including:

[0099] an acquisition unit 41 for performing load tests on a preset number of different similar models based on a preset pressurization method, and acquiring deformation data and stress flow data of the similar models; wherein the construction conditions of the different similar models are different;

[0100] A first determining unit 42 is configured to determine the correlation between the stress flow data and the deformation data;

[0101] The simulation unit 43 is used to obtain a preset dynamic yield surface model and perform numerical simulation based on the preset dynamic yield surface model to obtain critical characteristics of rock burst under different stresses and different structural conditions;

[0102] The second determining unit 44 is used to determine the stress flow warning value under mining conditions and structural conditions based on the deformation data and stress flow data of the similarity model, the preset dynamic yield surface model and the results of the numerical simulation.

[0103] The stress flow warning device for rock burst provided by the present disclosure includes the following main technical solutions: based on a preset pressurization method, a load test is performed on a preset number of different similar models, and deformation data and stress flow data of the similar models are obtained; wherein the structural conditions of different similar models are different; the correlation between the stress flow data and the deformation data is determined; a preset dynamic yield surface model is obtained, and numerical simulation is performed based on the preset dynamic yield surface model to obtain critical characteristics of rock burst under different stresses and different structural conditions; based on the deformation data and stress flow data of the similar models, the preset dynamic yield surface model and the results of the numerical simulation, the stress flow warning value under mining conditions and structural conditions is determined. Compared with the related art, the embodiment of the present application calculates stress flow, combines the situation when the similar model is destroyed, and comprehensively analyzes and derives a preset dynamic yield surface model of stress flow affecting the coal rock mass, simulates different coal rock structures to obtain the test between stress flow and coal rock mass instability, sets a rock burst warning threshold based on stress flow, and has different warning thresholds for different structural conditions, thereby improving the prediction accuracy of rock burst.

[0104] Furthermore, in a possible implementation of the embodiment of the present disclosure, the acquiring unit 41 is further configured to:

[0105] determining a total value of the static load on the similar model based on the similarity scale;

[0106] Loads are applied to the top and left and right sides of the similar model in preset stages until the load value reaches the total load value, and the evolution data of the deformation field and crack field of the similar model and the static load stress flow data are collected based on a preset collection method.

[0107] Furthermore, in a possible implementation of the embodiment of the present disclosure, the acquiring unit 41 is further configured to:

[0108] Different dynamic loads are applied to the different similar models, and evolution data of the deformation field and crack field and dynamic stress flow data of the similar models are collected based on a preset collection method; wherein the disturbance frequencies and disturbance amplitudes of the different dynamic loads are different.

[0109] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Figure 7 As shown, the first determining unit 42 is further configured to:

[0110] Calculating the outer envelope of the static stress vector according to the static stress flow data and the dynamic stress flow vector according to the dynamic stress flow data;

[0111] Combined with the static load stress vector, the outer envelope surface of the dynamic load stress flow vector, the evolution data of the deformation field and crack field of the similar model corresponding to the static load, and the evolution data of the deformation field and crack field of the similar model corresponding to the dynamic load, the stress flow precursor characteristics of the impact rock pressure of different similar models are determined.

[0112] Furthermore, in a possible implementation of the embodiment of the present disclosure, the apparatus further includes:

[0113] An establishment unit 45 is used to obtain a preset dynamic yield surface model in the simulation unit 43, and perform numerical simulation based on the preset dynamic yield surface model to obtain the critical characteristics of rock burst under different stresses and different structural conditions, and then establish the preset dynamic yield surface model based on non-local hardening parameters and internal time variables.

[0114] Furthermore, in a possible implementation of the embodiment of the present disclosure, the second determining unit 44 is further configured to:

[0115] According to the results of the numerical simulation under the different structural conditions and the stress flow precursor characteristics of the rock burst of the different similar models, the stress flow warning values ​​of the rock burst under different mining conditions and structural conditions are determined.

[0116] It should be noted that the above explanation of the method embodiment is also applicable to the device of the embodiment of the present disclosure, and the principles are the same, which is no longer limited in the embodiment of the present disclosure.

[0117] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium, and a computer program product.

[0118] Figure 8 A schematic block diagram of an example electronic device 500 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are provided as examples only and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0119] like Figure 8As shown, the device 500 includes a computing unit 501, which can perform various appropriate actions and processes according to a computer program stored in a ROM (Read-Only Memory) 502 or a computer program loaded from a storage unit 508 into a RAM (Random Access Memory) 503. Various programs and data required for the operation of the device 500 can also be stored in the RAM 503. The computing unit 501, the ROM 502, and the RAM 503 are connected to each other via a bus 504. An I / O (Input / Output) interface 505 is also connected to the bus 504.

[0120] Various components in device 500 are connected to I / O interface 505, including: an input unit 506, such as a keyboard, mouse, etc.; an output unit 507, such as various types of displays, speakers, etc.; a storage unit 508, such as a magnetic disk, optical disk, etc.; and a communication unit 509, such as a network card, modem, wireless communication transceiver, etc. The communication unit 509 allows device 500 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0121] The computing unit 501 can be any general-purpose and / or specialized processing component with processing and computing capabilities. Some examples of the computing unit 501 include, but are not limited to, a CPU (Central Processing Unit), a GPU (Graphic Processing Unit), various specialized AI (Artificial Intelligence) computing chips, various computing units that run machine learning model algorithms, a DSP (Digital Signal Processor), and any suitable processor, controller, microcontroller, etc. The computing unit 501 performs the various methods and processes described above, such as the rock burst stress flow early warning method. For example, in some embodiments, the rock burst stress flow early warning method can be implemented as a computer software program tangibly embodied in a machine-readable medium, such as the storage unit 508. In some embodiments, part or all of the computer program can be loaded and / or installed on the device 500 via the ROM 502 and / or the communication unit 509. When the computer program is loaded into the RAM 503 and executed by the computing unit 501, one or more steps of the method described above can be performed. Alternatively, in other embodiments, the computing unit 501 may be configured to execute the aforementioned rock burst stress flow early warning method in any other appropriate manner (for example, by means of firmware).

[0122] Various embodiments of the systems and techniques described herein can be implemented in digital electronic circuit systems, integrated circuit systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application Specific Standard Products), SOCs (System on Chips), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special-purpose or general-purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0123] The program code for implementing the method of the present disclosure can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device so that when the program code is executed by the processor or controller, the functions / operations specified in the flow chart and / or block diagram are implemented. The program code can be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0124] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or apparatus. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or apparatus, or any suitable combination of the foregoing. More specific examples of machine-readable storage media may include an electrical connection based on one or more wires, a portable computer disk, a hard disk, RAM, ROM, EPROM (Electrically Programmable Read-Only-Memory) or flash memory, optical fiber, CD-ROM (Compact Disc Read-Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0125] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0126] The systems and techniques described herein can be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: LAN (Local Area Network), WAN (Wide Area Network), the Internet, and blockchain networks.

[0127] A computer system may include a client and a server. The client and server are generally remote from each other and typically interact via a communication network. This client-server relationship is established by computer programs running on the respective computers, establishing a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host, a host product within the cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosts and VPS services ("Virtual Private Servers" or simply "VPS"). The server may also be a server in a distributed system or a server integrated with blockchain.

[0128] It's important to note that artificial intelligence (AI) is the study of how computers can simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, and planning). This encompasses both hardware and software technologies. AI hardware technologies generally include sensors, specialized AI chips, cloud computing, distributed storage, and big data processing. AI software technologies primarily encompass computer vision, speech recognition, natural language processing, machine learning / deep learning, big data processing, and knowledge graphs.

[0129] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in this disclosure can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved. This is not limited herein.

[0130] The above specific embodiments do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure shall be included within the scope of protection of this disclosure.

Claims

1. A stress flow early warning method for rock burst, characterized in that: include: Performing load tests on a preset number of different similar models based on a preset pressurization method, and obtaining deformation data and stress flow data for the similar models; wherein the different similar models have different structural conditions, including: simulating coal seams of different inclinations, roof and floor rock formations, structural surfaces of mine rock formations, large faults, and fracture surfaces; determining a correlation between the stress flow data and the deformation data; Obtaining a preset dynamic yield surface model, and performing numerical simulation based on the preset dynamic yield surface model to obtain critical characteristics of rock burst under different stresses and different structural conditions; Determining stress flow warning values ​​under mining conditions and structural conditions based on the deformation data and stress flow data of the similarity model, the preset dynamic yield surface model, and the results of the numerical simulation; Wherein, determining the correlation between the stress flow data and the deformation data includes: Calculate the outer envelope of the static stress vector according to the static stress flow data and the dynamic stress flow vector according to the dynamic stress flow data; Determining stress flow precursor characteristics of rock bursts of different similar models by combining the static load stress vector, the outer envelope of the dynamic load stress flow vector, the evolution data of the deformation field and the crack field of the similar model corresponding to the static load, and the evolution data of the deformation field and the crack field of the similar model corresponding to the dynamic load; Wherein, the determining of the stress flow warning value under mining conditions and structural conditions based on the deformation data and stress flow data of the similarity model, the preset dynamic yield surface model and the result of the numerical simulation includes: According to the results of the numerical simulation under the different structural conditions and the stress flow precursor characteristics of the rock burst of the different similar models, the stress flow warning values ​​of the rock burst under different mining conditions and structural conditions are determined.

2. The method according to claim 1, characterized in that The performing of load tests on a preset number of different similar models based on a preset pressurization method and obtaining deformation data and stress flow data of the similar models includes: determining a total value of the static load on the similar model based on the similarity scale; Loads are applied to the top and left and right sides of the similar model in preset stages until the load value reaches the total load value, and the evolution data of the deformation field and crack field of the similar model and the static load stress flow data are collected based on a preset collection method.

3. The method according to claim 1, characterized in that The performing of load tests on a preset number of different similar models based on a preset pressurization method and obtaining deformation data and stress flow data of the similar models includes: Different dynamic loads are applied to the different similar models, and evolution data of the deformation field and crack field and dynamic stress flow data of the similar models are collected based on a preset collection method; wherein the disturbance frequencies and disturbance amplitudes of the different dynamic loads are different.

4. The method according to claim 1, wherein Before obtaining a preset dynamic yield surface model and performing numerical simulation based on the preset dynamic yield surface model to obtain critical characteristics of rock burst under different stresses and different structural conditions, the method further includes: The preset dynamic yield surface model is established based on non-local hardening parameters and internal time variables.

5. A stress flow warning device for rock burst, characterized in that: include: an acquisition unit, configured to perform load tests on a preset number of different similar models based on a preset pressurization method, and acquire deformation data and stress flow data of the similar models; wherein the different similar models have different structural conditions, including: coal seams of different inclination angles, roof and floor rock formations, structural planes of mine rock formations, large faults, and fracture surfaces; a first determining unit, configured to determine a correlation between the stress flow data and the deformation data; A simulation unit is used to obtain a preset dynamic yield surface model and perform numerical simulation based on the preset dynamic yield surface model to obtain critical characteristics of rock burst under different stresses and different structural conditions; A second determining unit is configured to determine a stress flow warning value under mining conditions and structural conditions based on the deformation data and stress flow data of the similarity model, the preset dynamic yield surface model, and the result of the numerical simulation; Wherein, the first determining unit is further configured to: Calculate the outer envelope of the static stress vector according to the static stress flow data and the dynamic stress flow vector according to the dynamic stress flow data; Determining stress flow precursor characteristics of rock bursts of different similar models by combining the static load stress vector, the outer envelope of the dynamic load stress flow vector, the evolution data of the deformation field and the crack field of the similar model corresponding to the static load, and the evolution data of the deformation field and the crack field of the similar model corresponding to the dynamic load; The second determining unit is further configured to: According to the results of the numerical simulation under the different structural conditions and the stress flow precursor characteristics of the rock burst of the different similar models, the stress flow warning values ​​of the rock burst under different mining conditions and structural conditions are determined.

6. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 4.

7. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to cause the computer to execute the method according to any one of claims 1-4.

8. A computer program product, characterized in that The invention comprises a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 4.

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