Calibration method, device and equipment for mechanical parameters of soil material and medium
By combining dynamic and static triaxial tests, vibration table tests and numerical simulation technology, the problem that traditional tests cannot simulate soil seismic responses is solved, and more accurate calibration of soil mechanics parameters is achieved, supporting engineering design and construction.
Patent Information
- Application Number
- CN202510808018.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-16
- Publication Date
- 2025-08-15
AI Technical Summary
Traditional dynamic and static triaxial tests cannot fully simulate the true mechanical response of soil under the action of earthquakes in complex geological structures, resulting in a lack of reliable mechanical parameter support for engineering design and construction.
Combining dynamic and static triaxial test, vibration table test and numerical simulation technology, by constructing a three-dimensional soil model, using dynamic response parameter data to invert mechanical parameters, to obtain more accurate soil mechanical parameters under earthquake action.
It provides more reliable soil mechanical parameters, supports engineering design and construction, and improves earthquake resistance and construction safety.
Smart Images
Figure CN120489711A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of geotechnical testing technology, and in particular to a method, device, equipment and medium for calibrating the mechanical parameters of soil materials. Background Art
[0002] In geotechnical and structural engineering, accurately calibrating the mechanical parameters of soil materials is a cornerstone of engineering design and construction. While traditional static and dynamic triaxial tests can provide dynamic mechanical properties of soil, they suffer from a significant limitation: they cannot fully simulate soil behavior under actual site conditions. These tests can only be conducted in specific laboratory settings, making it difficult to replicate the true mechanical response of soils in complex geological structures, particularly those with rich deposits, under seismic loads. Summary of the Invention
[0003] The present application proposes a method, device, equipment and medium for calibrating the mechanical parameters of soil materials, which can solve one of the problems existing in the background technology.
[0004] To achieve the above objectives, this application adopts the following technical solutions:
[0005] In a first aspect, a method for calibrating mechanical parameters of soil materials is provided, wherein the method comprises:
[0006] Through dynamic and static triaxial tests, the mechanical parameter test values of the piled soil samples are determined;
[0007] Based on the shaking table test, the dynamic response parameter data of the pile soil sample is obtained;
[0008] In the numerical simulation software, a three-dimensional model of the deposited soil sample is constructed, and based on the dynamic response parameter data and the mechanical parameter input values, a mechanical parameter inversion is performed to obtain a dynamic response parameter simulation value;
[0009] Obtaining a mechanical parameter inversion simulation value based on the relationship between the dynamic response parameter data and the dynamic response parameter simulation value; and
[0010] The mechanical parameter calibration result of the deposited soil sample is determined based on the relationship between the mechanical parameter test value and the mechanical parameter inversion simulation value.
[0011] Based on the above technical solution, combined with the physical test data of dynamic and static triaxial tests and shaking table tests, and using numerical simulation technology, the mechanical parameters of soil under seismic action can be calibrated more accurately, thereby providing more reliable mechanical parameter support for engineering design and construction.
[0012] In a possible design manner of the first aspect, a mechanical parameter inversion simulation value is obtained according to the relationship between the dynamic response parameter data and the dynamic response parameter simulation value, specifically:
[0013] When the mutual difference between the dynamic response parameter data and the dynamic response parameter simulation value meets a first set threshold requirement, the mechanical parameter input value is used as the mechanical parameter inversion simulation value.
[0014] In a possible design method of the first aspect, when the mutual difference between the dynamic response parameter data and the dynamic response parameter simulation value does not meet the first set threshold requirement, based on the analysis model, the parameter among the mechanical parameters that has the greatest impact on the model output result is adjusted.
[0015] In a possible design manner of the first aspect, the analysis model is a Sobal analysis model or a Morris analysis model.
[0016] In a possible design of the first aspect, a mechanical parameter calibration result of the deposited soil sample is determined based on the relationship between the mechanical parameter test value and the mechanical parameter inversion simulation value, specifically:
[0017] When the mutual difference between the mechanical parameter test value and the mechanical parameter inversion simulation value meets the second set threshold requirement, the average value of the mechanical parameter test value and the mechanical parameter inversion simulation value is used as the mechanical parameter calibration result.
[0018] In a possible design method of the first aspect, a three-dimensional model of the deposited soil sample is constructed in numerical simulation software, and mechanical parameter inversion is performed based on the dynamic response parameter data and the mechanical parameter input values, specifically including:
[0019] Creating the three-dimensional model including boundary conditions and load conditions, wherein free boundaries are used around the model and a quiet boundary is used at the bottom of the model, and the load conditions are consistent with the loads in the shaking table test;
[0020] The constitutive model is defined based on the empirical values of mechanical parameters of the deposited soil sample;
[0021] Define the analysis time step based on the analysis objectives; and
[0022] The numerical simulation software is started to run the three-dimensional model and obtain analysis results.
[0023] In a possible design manner of the first aspect, the mechanical parameters are deformation modulus, Poisson's ratio, cohesion and / or internal friction angle, and the dynamic response parameters are displacement, acceleration, strain and / or stress.
[0024] In a second aspect, a device for calibrating the mechanical parameters of soil materials is provided, the device comprising:
[0025] The triaxial test unit is used to determine the mechanical parameter test values of the piled soil sample through dynamic and static triaxial tests;
[0026] A shaking table test unit is used to obtain dynamic response parameter data of the pile soil sample based on the shaking table test;
[0027] An inversion unit is used to construct a three-dimensional model of the deposited soil sample in the numerical simulation software, and perform mechanical parameter inversion based on the dynamic response parameter data and the mechanical parameter input value to obtain a dynamic response parameter simulation value;
[0028] a calculation unit, configured to obtain a mechanical parameter inversion simulation value based on a relationship between the dynamic response parameter data and the dynamic response parameter simulation value; and
[0029] The determination unit is used to determine the mechanical parameter calibration result of the deposited soil sample according to the relationship between the mechanical parameter test value and the mechanical parameter inversion simulation value.
[0030] In a third aspect, an electronic device is provided, comprising: a processor, and a memory coupled to the processor, the memory being used to store a computer program; and the processor being used to execute the computer program stored in the memory, so that the electronic device performs the method as any possible implementation in the first aspect.
[0031] In a fourth aspect, a computer-readable storage medium is provided, comprising a computer program or instructions, which, when executed on a computer, causes the computer to execute the method of any possible implementation of the first aspect.
[0032] In a fifth aspect, a computer program product is provided, comprising: a computer program or instructions, which, when the computer program or instructions are run on a computer, causes the computer to execute the method of any possible implementation of the first aspect. BRIEF DESCRIPTION OF THE DRAWINGS
[0033] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or related technical descriptions. Obviously, the drawings described below are only some embodiments of the embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.
[0034] Figure 1This is a flow chart of an embodiment of the present application for performing soil mechanical parameter inversion through numerical simulation and shaking table test;
[0035] Figure 2 Schematic diagram of the arrangement of the displacement sensor and acceleration sensor of the vibration table test in the embodiment of the present application;
[0036] Figure 3 This is a flowchart of the three-dimensional modeling of the numerical simulation software in the embodiment of the present application;
[0037] Figure 4 This is a schematic diagram of a numerical simulation vibration table test model in an embodiment of the present application;
[0038] Figure 5 is a time history graph of the vibration table output acceleration collected by the acceleration sensor in the embodiment of the present application;
[0039] Figure 6 1 is a comparison chart of the sedimentation test curve and the simulation curve in the embodiment of the present application;
[0040] Reference numerals: 1 is a model box; 2 is a roadbed model fill; 3 is a vibration table; 4 is an acceleration sensor; 5 is a displacement sensor; 6 is a free boundary; and 7 is a quiet boundary. DETAILED DESCRIPTION
[0041] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.
[0042] It should be noted that although the device schematics illustrate functional module divisions and the flowcharts illustrate logical sequences, in certain circumstances, the steps shown or described may be performed in a sequence that differs from the module divisions in the device or the sequence in the flowcharts. The terms "first," "second," and so on, in the specification, claims, and drawings, are used to distinguish similar items and are not necessarily used to describe a specific sequence or precedence.
[0043] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application pertains. The terms used herein are for the purpose of describing the embodiments of this application only and are not intended to limit this application.
[0044] like Figures 1 to 5 As shown, the embodiment of the present application provides a soil mechanical parameter inversion method based on numerical simulation and shaking table test, comprising the following steps:
[0045] Step 1: Conduct dynamic and static triaxial tests to obtain the test values of the mechanical parameters of the deposited soil samples.
[0046] Step 2: Conduct shaking table model tests, including:
[0047] Step 2.1: Determine the model size and type as well as the type of monitoring dynamic response parameters as needed, and build Figure 2 Shaking table model shown.
[0048] Step 2.2: Place the displacement sensor and acceleration sensor as Figure 2 After the arrangement is completed as shown, the test is carried out to obtain the dynamic response data of the selected soil.
[0049] For example, in this embodiment, the model type is a roadbed model, and the dynamic response data selected is settlement displacement. Before the shaking table test begins, the model compaction degree and height are determined. The soil samples are poured into the model box in sequence and compacted layer by layer until the predetermined height is reached.
[0050] Step 3: Pass Figure 3 The process shown is constructed Figure 4 The three-dimensional model shown is numerically simulated and mechanical parameter inversion is performed based on the dynamic response parameter data obtained from the shaking table model test.
[0051] Step 3 specifically includes:
[0052] Step 3.1: Create a three-dimensional model using the geometric modeling tools provided by the numerical simulation analysis software;
[0053] Step 3.2: Define the constitutive model and set the initial soil mechanical parameters based on the empirical mechanical parameters of different soils. The mechanical parameters include deformation modulus, Poisson's ratio, cohesion, internal friction angle, etc. These data can be obtained from literature or through indoor basic tests.
[0054] Step 3.3: Define boundary conditions. Based on the shaking table test results, define the boundary conditions of the three-dimensional model, including constraining the model displacement; and define the load conditions of the three-dimensional model.
[0055] Step 3.4: Set the analysis time step. According to the analysis objectives, define the corresponding analysis time step. The analysis step is static analysis and dynamic response analysis. Set the analysis time and time step.
[0056] Step 3.5: Run the analysis by starting the numerical simulation software to run the 3D model and monitor the progress of the analysis in real time.
[0057] Step 3.6: Post-processing of results. After the analysis is completed, use the post-processing tools provided by the numerical simulation analysis software to analyze and visualize the results and view the model's stress, displacement and other mechanical response data.
[0058] For example, when performing numerical simulation, the following aspects need to be paid attention to:
[0059] 1) Determination of boundary conditions. In addition to determining the basic parameters of the soil, the most important thing in numerical simulation is the determination of boundary conditions. The boundary conditions in this embodiment are set as follows: Figure 4 As shown, free boundaries are used around the model and a quiet boundary is used at the bottom of the model.
[0060] 2) Determination of numerical simulation input load: The load entered in the simulation software should be consistent with the load in the shaking table test. Due to boundary limitations, the numerical simulation software used in this embodiment needs to be converted into a stress boundary, unlike directly applying acceleration and velocity boundaries. Therefore, it is necessary to integrate the output acceleration time history curve monitored in the shaking table test to obtain the velocity time history curve, and then convert it into the stress time history curve using the following formula. Figure 5 is the acceleration time history curve input in this embodiment.
[0061]
[0062] Where: σ n —Normal stress
[0063] σ s —Tangential stress
[0064] —Material density
[0065] C P —The propagation speed of P waves in the medium
[0066] C s —S-wave propagation speed in the medium
[0067] v n —Input normal velocity
[0068] v s —Input tangential velocity
[0069] Step 4: Compare the dynamic response parameter data obtained from the numerical simulation and the shaking table model test. If the error Δ is within 10%, it can be determined that the inversion of the mechanical parameters meets the requirements. Otherwise, readjust the mechanical parameters in the constitutive model and perform step 3 to re-simulate.
[0070]
[0071] In addition, if the error exceeds the threshold, corresponding parameter adjustments are required. Parameter adjustment is not a blind trial and error process, but rather requires analyzing parameter sensitivity based on the analytical model, thereby selecting the mechanical parameters that have the greatest impact on the model output for adjustment. This embodiment primarily employs two parameter adjustment methods: local sensitivity analysis based on the Sobal method and local sensitivity analysis based on the Morris method.
[0072] 1) Local sensitivity analysis based on Sobal method
[0073] The Sobol method is a global sensitivity analysis method, but it can also be used for local sensitivity analysis. By calculating the Sobol sensitivity index, the contribution of the parameters to the model output can be evaluated. For local sensitivity analysis, the first-order Sobol sensitivity index Si is calculated as:
[0074]
[0075] Among them, x i is the i-th mechanical parameter to be calibrated, x i It indicates which parameter needs to be calibrated. For example, the bulk modulus and shear modulus need to be calibrated. x1 is the bulk modulus and x2 is the shear modulus. V(y) is the variance of the model output y, and E(y / x i ) is given a parameter x i The expected value of the model output under the condition, V[E(y / x i )] represents E(y / x i ) reflects the variance of the parameter x i The average degree of influence on the model output. This method is suitable for situations where the impact of multiple parameters on the model output needs to be comprehensively considered. By calculating the Sobol sensitivity index, the importance of each parameter can be determined, thus providing a basis for parameter adjustment.
[0076] 2) Local sensitivity analysis based on Morris method
[0077] Morris method is a sensitivity analysis method based on element effect, which evaluates the sensitivity of parameters by calculating the average impact of parameter changes on model output. i , its element effect μ can be calculated i and standard deviation σ i ,in:
[0078]
[0079] Where r is the number of repetitions, y j (x i +Δx i ) and yj (x i ) respectively indicate that in the jth repetition, the parameter x i The output value of the model before and after the change, Δx i is the parameter x i This method is suitable for situations where it is necessary to quickly screen out parameters that have a greater impact on model output. By calculating element effects and standard deviations, the sensitivity and uncertainty of parameters can be evaluated, providing a reference for parameter adjustment.
[0080] Step 5: Compare the mechanical parameter test values obtained from the physical test with the mechanical parameter simulation values obtained from the numerical simulation inversion. If the difference between the two is less than 20%, take their average value as the calibration result of the mechanical parameters of the deposited soil. Otherwise, repeat steps 3 to 5.
[0081] In order to further illustrate the technical idea of this application, the following specific application examples are proposed in combination with specific application scenarios to illustrate the technical effects of this application.
[0082] The research focused on a national key project currently under construction in Sichuan. The project's location is unique: it sits atop an alluvial fan of debris flow deposits. This region not only presents complex geological conditions but also frequent seismic activity due to its location in the earthquake-prone southwest. This poses significant challenges to the project's seismic design and construction. Furthermore, the unique physical properties of the deposits, such as their complex provenance and gradation, significantly influence their mechanical behavior under earthquakes. Therefore, to ensure the project's stability and safety during earthquakes, it is crucial to understand the mechanical parameters of these deposits under seismic action. These parameters are not only relevant to the seismic design of the project structure but also directly impact the formulation and implementation of seismic mitigation measures during construction. Through in-depth study of these mechanical parameters, we can better understand the behavior of the deposits under earthquakes and predict their potential responses, thereby providing a scientific basis for project design, optimizing seismic design, and improving the seismic resistance of the structure.
[0083] First, dynamic and static triaxial tests and shaking table model tests were carried out to obtain the test values of mechanical parameters and settlement of the pile. The specific data are shown in Tables 1 and 2:
[0084] Table 1. Mechanical parameter test values
[0085]
[0086] Table 2. Pile Settlement Test Values
[0087]
[0088] According to the model type in the shaking table test, a three-dimensional model is constructed in the numerical simulation software. In this embodiment, the roadbed model is selected, so the three-dimensional model in the numerical software is as follows: Figure 3 As shown in the figure, appropriate boundary conditions were set and a stress time history curve converted from the acceleration time history curve input in the shaking table test was applied to the bottom of the model to obtain the simulated settlement value of the accumulation body. During the simulation process, the preliminary results did not meet the threshold requirements, so a series of iterations were performed to obtain a series of bulk modulus parameter input values a i and the shear modulus parameter input value b i , and the model settlement output value y, the results are shown in Table 3.
[0089] Table 3. Parameters and output result record table
[0090]
[0091] There are only two influencing parameters here, and the combined effect of these two parameters on the model output settlement needs to be considered. Therefore, the sensitivity index of bulk modulus and shear modulus is calculated using the local sensitivity analysis method based on the Sobal method. Substitute the data in Table 3 into the formula The first-order sensitivity index of the bulk modulus is a = 0.812, while the first-order sensitivity index of the shear modulus is b = 0.188. Therefore, the parameter adjustment is mainly to adjust the volume model.
[0092] After adjustment, the final simulated settlement data are shown in Table 4, and the corresponding mechanical parameter simulation values are shown in Table 5:
[0093] Table 4. Simulated values of sedimentation
[0094]
[0095] Table 5. Simulated values of mechanical parameters of the stack
[0096]
[0097] Based on the settlement test values and simulation values, the difference calculation is performed:
[0098]
[0099] The comparison between the sedimentation test curve and the simulation curve is shown in the figure below. Figure 6 shown.
[0100] Comparing the sedimentation test values and simulation values, the difference between them is within 10%, which meets the requirements. Therefore, the average value of the mechanical parameter simulation group and the test values obtained by the dynamic and static triaxial test is selected as the final mechanical parameter calibration value:
[0101]
[0102] The present application also provides a device for calibrating the mechanical parameters of soil materials, the device comprising:
[0103] The triaxial test unit is used to determine the mechanical parameter test values of the piled soil sample through dynamic and static triaxial tests;
[0104] A shaking table test unit is used to obtain dynamic response parameter data of the pile soil sample based on the shaking table test;
[0105] An inversion unit is used to construct a three-dimensional model of the deposited soil sample in the numerical simulation software, and perform mechanical parameter inversion based on the dynamic response parameter data and the mechanical parameter input value to obtain a dynamic response parameter simulation value;
[0106] a calculation unit, configured to obtain a mechanical parameter inversion simulation value based on a relationship between the dynamic response parameter data and the dynamic response parameter simulation value; and
[0107] The determination unit is used to determine the mechanical parameter calibration result of the deposited soil sample according to the relationship between the mechanical parameter test value and the mechanical parameter inversion simulation value.
[0108] An embodiment of the present application also provides an electronic device, comprising: a processor, and a memory coupled to the processor, wherein the memory is used to store a computer program; and the processor is used to execute the computer program stored in the memory, so that the electronic device executes the method described in any one of the above embodiments.
[0109] The electronic device may be a computing device such as a desktop computer, a notebook computer, a PDA, a cloud server, etc. The electronic device may include, but is not limited to, a processor and a memory.
[0110] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the electronic device, connecting various parts of the entire device using various interfaces and lines.
[0111] The memory may be used to store the computer program, and the processor implements various functions of the electronic device by running or executing the computer program stored in the memory and calling the data stored in the memory.
[0112] The memory may primarily include a program storage area and a data storage area, wherein the program storage area may store an operating system, at least one application required for a function, and the like; and the data storage area may store data created based on the use of the mobile phone, and the like. Furthermore, the memory may include high-speed random access memory and non-volatile memory, such as a hard disk, internal memory, a plug-in hard disk, a SmartMedia Card (SMC), a Secure Digital (SD) card, a flash memory card, at least one disk storage device, a flash memory device, or other volatile solid-state storage device.
[0113] The embodiment of the present application also provides a storage medium, which is a computer-readable storage medium, and the computer program is stored in the computer-readable storage medium. When the computer program is executed by the processor, it can implement the steps of the above-mentioned various method embodiments. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device that can carry the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal and software distribution medium, etc.
[0114] An embodiment of the present application further provides a computer program product, including: a computer program or instructions, which, when executed on a computer, causes the computer to execute any of the above-mentioned possible implementation methods.
[0115] The above is a preferred embodiment of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications are also considered to be within the scope of protection of the present application.
Claims
1. A method for calibrating the mechanical parameters of soil materials, characterized in that: The method comprises: Through dynamic and static triaxial tests, the mechanical parameter test values of the piled soil samples are determined; Based on the shaking table test, the dynamic response parameter data of the pile soil sample is obtained; In the numerical simulation software, a three-dimensional model of the deposited soil sample is constructed, and based on the dynamic response parameter data and the mechanical parameter input values, a mechanical parameter inversion is performed to obtain a dynamic response parameter simulation value; Obtaining a mechanical parameter inversion simulation value based on the relationship between the dynamic response parameter data and the dynamic response parameter simulation value; and The mechanical parameter calibration result of the deposited soil sample is determined based on the relationship between the mechanical parameter test value and the mechanical parameter inversion simulation value.
2. The method according to claim 1, wherein According to the relationship between the dynamic response parameter data and the dynamic response parameter simulation value, the mechanical parameter inversion simulation value is obtained, specifically: When the mutual difference between the dynamic response parameter data and the dynamic response parameter simulation value meets a first set threshold requirement, the mechanical parameter input value is used as the mechanical parameter inversion simulation value.
3. The method according to claim 2, wherein When the mutual difference between the dynamic response parameter data and the dynamic response parameter simulation value does not meet the first set threshold requirement, the parameter with the greatest influence on the model output result among the mechanical parameters is adjusted based on the analysis model.
4. The method according to claim 3, wherein The analysis model is a Sobal analysis model or a Morris analysis model.
5. The method according to claim 1, wherein According to the relationship between the mechanical parameter test value and the mechanical parameter inversion simulation value, the mechanical parameter calibration result of the deposited soil sample is determined, specifically: When the mutual difference between the mechanical parameter test value and the mechanical parameter inversion simulation value meets the second set threshold requirement, the average value of the mechanical parameter test value and the mechanical parameter inversion simulation value is used as the mechanical parameter calibration result.
6. The method according to claim 1, wherein In the numerical simulation software, a three-dimensional model of the deposited soil sample is constructed, and based on the dynamic response parameter data and the mechanical parameter input values, a mechanical parameter inversion is performed, specifically including: Creating the three-dimensional model including boundary conditions and load conditions, wherein free boundaries are used around the model and a quiet boundary is used at the bottom of the model, and the load conditions are consistent with the loads in the shaking table test; The constitutive model is defined based on the empirical values of mechanical parameters of the deposited soil sample; Define the analysis time step based on the analysis objectives; and The numerical simulation software is started to run the three-dimensional model and obtain analysis results.
7. The method according to claim 1, wherein The mechanical parameters are deformation modulus, Poisson's ratio, cohesion and / or internal friction angle, and the dynamic response parameters are displacement, acceleration, strain and / or stress.
8. A device for calibrating the mechanical parameters of soil materials, characterized in that: The device comprises: The triaxial test unit is used to determine the mechanical parameter test values of the piled soil sample through dynamic and static triaxial tests; A shaking table test unit is used to obtain dynamic response parameter data of the pile soil sample based on the shaking table test; An inversion unit is used to construct a three-dimensional model of the deposited soil sample in the numerical simulation software, and perform mechanical parameter inversion based on the dynamic response parameter data and the mechanical parameter input value to obtain a dynamic response parameter simulation value; a calculation unit, configured to obtain a mechanical parameter inversion simulation value based on a relationship between the dynamic response parameter data and the dynamic response parameter simulation value; and The determination unit is used to determine the mechanical parameter calibration result of the deposited soil sample according to the relationship between the mechanical parameter test value and the mechanical parameter inversion simulation value.
9. An electronic device, characterized in that: The electronic device includes: a processor, and a memory coupled to the processor, The memory is used to store computer programs; and The processor is configured to execute the computer program stored in the memory, so that the electronic device performs the method according to any one of claims 1 to 8.
10. A computer-readable storage medium, characterized in that The computer-readable storage medium includes a computer program or instructions. When the computer program or instructions are executed on a computer, the computer is caused to perform the method according to any one of claims 1 to 8.