Explosive grid size determination method and device based on explosion numerical simulation

Abstract

The invention relates to an explosive grid size determination method and device based on explosion numerical simulation, and belongs to the technical field of explosion numerical simulation, and the method comprises the steps: obtaining the geometric similarity ratio of a target explosive and an initial explosive, the target explosive and the initial explosive being geometrically similar and having the same explosive type; obtaining initial grid sizes under different proportional distances obtained by performing an explosion numerical simulation test on the initial explosive; and based on the geometric similarity ratio and the initial grid sizes under different proportional distances, obtaining target grid sizes under different proportional distances for performing an explosion numerical simulation test on the target explosive. According to the method, the appropriate grid size of the target explosive numerical simulation test under any proportional distance can be determined through the explosion similarity rate and the appropriate grid size and geometric similarity ratio of the initial explosive explosion numerical simulation test under a certain proportional distance, so that the method is suitable for an explosion scene when the explosive equivalent and the explosion center distance are changed.

Description

Technical Field

[0001] The present invention relates to the technical field of explosion numerical simulation, and in particular, to a method and device for determining the grid size of explosives based on explosion numerical simulation. Background Art

[0002] Due to the fact that the task of anti-explosion research on structures or components at the present stage is extremely arduous, and explosion tests are very expensive, numerical simulation has become an effective means for anti-explosion research. The accurate determination of explosion loads is the key issue in anti-explosion research on structures or components. How to accurately simulate explosion loads and the propagation law of explosion shock waves using numerical simulation software has become the primary issue in structural anti-explosion research. When conducting numerical simulation of explosion shock waves, the finite element grid size has a great influence on the accuracy of numerical simulation.

[0003] Currently, some scholars have proposed or studied the grid size effect in explosion wave simulation. For example, Cui Ying et al. analyzed the influence of different air and explosive grid sizes on the propagation of shock waves and numerical calculation results through explosion tests on concrete-filled steel tubular columns, and finally determined that a grid size of 20 mm meets the requirements of explosion numerical simulation under the test conditions where the scaled distance does not exceed 1.1 m·kg-1 / 3; Luccioni et al. studied the grid size effect when using hydrodynamic software to simulate and predict explosion loads, and believed that a grid size of 100 mm can more accurately simulate the propagation law of explosion loads, while coarser grid sizes can only be used to qualitatively simulate the propagation law of explosion loads in complex urban environments. However, due to the use of fixed values such as 50, 100, 200 mm, etc. for grid division, there are great limitations when used at different explosive equivalents.

[0004] It can be seen from existing research that there are significant differences in the grid sizes used by different researchers in explosion wave simulation. On the one hand, it is because the acceptable error ranges for different problems are quite different. On the other hand, it is because the grid size effect of explosion problems itself is a relatively complex issue, which is related to the environmental medium where the explosion occurs, the distance from the explosion center, and has a great relationship with the explosive equivalent. Existing literature on the research of grid size effect often focuses on specific explosive equivalents under a single medium, and there is less comparative research on the accuracy of numerical simulation at different scaled explosion distances. Therefore, the proposed grid sizes have great limitations when the explosive equivalent and the distance from the explosion center change. Summary of the Invention

[0005] In view of this, it is necessary to provide a method and device for determining the grid size of explosives based on explosion numerical simulation to solve the technical problem in the prior art that it often targets specific explosive equivalents under a single medium and is difficult to apply to explosion scenarios when the explosive equivalent and the distance from the explosion center change.

[0006] To solve the above problems, in a first aspect, the present invention provides a method for determining the grid size of explosives based on explosive numerical simulation, including: Obtain the geometric similarity ratio between the target explosive and the initial explosive, where the target explosive and the initial explosive are geometrically similar and have the same type of explosive; Obtain the initial grid sizes at different scaled distances obtained from the explosive numerical simulation test on the initial explosive; Based on the product result of the geometric similarity ratio and the initial grid sizes at different scaled distances, determine the target grid sizes at different scaled distances when conducting the explosive numerical simulation test on the target explosive.

[0007] In a possible implementation, obtaining the initial grid sizes at different scaled distances obtained from the explosive numerical simulation test on the initial explosive includes: Conduct an explosive numerical simulation test on the initial explosive to obtain different numbers of radial grids and shock wave waveforms at different scaled distances; Based on the characteristic parameters of the shock wave waveforms, determine the minimum number of radial grids at different scaled distances; Based on the minimum number of radial grids at different scaled distances, obtain the initial grid sizes at different scaled distances.

[0008] In a possible implementation, based on the characteristic parameters of the shock wave waveforms, determining the minimum number of radial grids at different scaled distances includes: Calculate the deviation values between the shock wave waveforms of the maximum number of radial grids and other shock wave waveforms at the same scaled distance, and select the minimum number of radial grids with the deviation values within a preset range to determine the minimum number of radial grids at different scaled distances.

[0009] In a possible implementation, based on the minimum number of radial grids at different scaled distances, obtaining the initial grid sizes at different scaled distances includes: Determine the negative correlation relationship between the minimum number of radial grids and the grid size according to the diameter of the initial explosive, and based on the negative correlation relationship and the minimum number of radial grids at different scaled distances, determine the initial grid sizes at different scaled distances.

[0010] In a possible implementation, after determining the minimum number of radial grids at different scaled distances based on the characteristic parameters of the shock wave waveforms, the method further includes: Conduct an explosive numerical simulation test on the initial explosive based on the minimum number of radial grids at different scaled distances to obtain a numerical simulation calculation result including the target characteristic parameters of the shock wave waveforms; Obtain the empirical formula calculation result of the target characteristic parameters including the shock wave waveform calculated by the empirical formula; Calculate the error between the numerical simulation calculation result and the empirical formula calculation result, and verify the minimum number of radial grids at different scaled distances based on the error.

[0011] In a possible implementation, the empirical formula includes the UFC3-340-02 formula, the Sadovskyi formula, the Baker formula, and the Henrych formula.

[0012] In a possible implementation, the geometric similarity ratio is the diameter ratio of the target explosive to the initial explosive.

[0013] In a second aspect, the present invention further provides an explosive grid size determination device, including: An explosive parameter acquisition unit, configured to acquire the geometric similarity ratio of the target explosive to the initial explosive, where the target explosive and the initial explosive are geometrically similar and have the same explosive type; A test data acquisition unit, configured to acquire the initial grid sizes at different scaled distances obtained from the explosion numerical simulation test of the initial explosive; A grid size determination unit, configured to determine the target grid sizes at different scaled distances when performing the explosion numerical simulation test on the target explosive based on the product result of the geometric similarity ratio and the initial grid sizes at different scaled distances.

[0014] In a third aspect, the present invention further provides an electronic device, including a memory and a processor; The memory is used to store a program; The processor is coupled to the memory and is configured to execute the program stored in the memory to implement the steps of the above-mentioned method for determining the explosive grid size based on explosion numerical simulation.

[0015] In a fourth aspect, the present invention further provides a computer-readable storage medium, on which a program or instruction is stored, and when the program or instruction is executed by a processor, the steps of the above-mentioned method for determining the explosive grid size based on explosion numerical simulation are implemented.

[0016] The beneficial effects of the present invention are as follows: The method for determining the explosive grid size based on explosive numerical simulation provided by the present invention utilizes the explosion similarity ratio to convert the results obtained from the explosive numerical simulation test of the initial explosive to the explosive numerical simulation test of the target explosive. Only by knowing the appropriate grid size of the initial explosive numerical simulation test at a certain proportional distance, the appropriate grid size of the target explosive numerical simulation test at any proportional distance can be determined according to the geometric similarity ratio, so as to apply to the explosion scenarios when the explosive equivalent and the distance from the explosion center change and obtain a more reasonable grid size. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic flowchart of an embodiment of the method for determining the explosive grid size based on explosive numerical simulation provided by the present invention; Figure 2 For the present invention Figure 1 It is a schematic flowchart of an embodiment of step S101; Figure 3 For the present invention, when the proportional distance is 0.4 m / kg 1 / 3 Shock wave waveform diagrams under different numbers of radial grids; Figure 4 For the present invention, when the proportional distance is 0.6 m / kg 1 / 3 Shock wave waveform diagrams under different numbers of radial grids; Figure 5 For the present invention, when the proportional distance is 1.2 m / kg 1 / 3 Shock wave waveform diagrams under different numbers of radial grids; Figure 6 For the present invention, when the proportional distance is 1.6 m / kg 1 / 3 Shock wave waveform diagrams under different numbers of radial grids; Figure 7 For the present invention, when the proportional distance is 2.0 m / kg 1 / 3 Shock wave waveform diagrams under different numbers of radial grids; Figure 8 For the present invention, when the proportional distance is 2.4 m / kg 1 / 3 Shock wave waveform diagrams under different numbers of radial grids; Figure 9 It is a relationship curve diagram between the minimum number of radial grids of the initial explosive provided by the present invention and the proportional distance; Figure 10 It is a schematic flowchart of an embodiment for verifying the numerical simulation calculation results of the present invention; Figure 11 It is a comparison schematic diagram of the numerical simulation calculation results and the calculation results of the empirical formula provided by the present invention; Figure 12Schematic structural diagram of an embodiment of the explosive grid size determination device provided by the present invention; Figure 13 Schematic structural diagram of an embodiment of the electronic device provided by the present invention. Detailed implementation manners

[0018] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present invention.

[0019] It should be understood that the schematic drawings are not drawn to actual scale. The flowcharts used in the present invention illustrate operations implemented according to some embodiments of the present invention. It should be understood that the operations in the flowchart may not be implemented in sequence, and steps without logical context relationships may be reversed or implemented simultaneously. In addition, those skilled in the art can add one or more other operations to the flowchart or remove one or more operations from the flowchart under the guidance of the content of the present invention. Some of the block diagrams shown in the drawings are functional entities, which do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor systems and / or microcontroller systems.

[0020] The descriptions such as "first" and "second" involved in the embodiments of the present invention are only for implicit purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the quantity of the indicated technical features. Therefore, the technical features defined with "first" and "second" may explicitly or implicitly include at least one of such features. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist, for example: A and / or B may represent: A exists alone, A and B exist simultaneously, and B exists alone.

[0021] Referring to "embodiment" in this article means that the specific features, structures or characteristics described in combination with the embodiment may be included in at least one embodiment of the present invention. The phrase appears at various positions in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0022] Before presenting the embodiments, the following terms will be explained first.

[0023] Scaled distance: It refers to the proportional relationship between the distance from the test point to the explosion center and the explosion energy in an explosion event, usually referring to the ratio of the distance from the test point to the explosion center to the cube root of the explosive equivalent.

[0024] ‌Explosion similarity law: It refers to a method of predicting and evaluating actual explosion phenomena through model experiments by establishing similar proportional relationships. Its core idea is to simulate and predict the actual explosion process through the proportional relationships of characteristics such as geometric shape, material properties, and explosion energy. For example, how to convert the explosion results obtained from the model charge to the explosion of the prototype charge.

[0025] The present invention provides a method and device for determining the explosive grid size based on explosion numerical simulation, which will be described separately below.

[0026] Figure 1 It is a schematic flowchart of an embodiment of the method for determining the explosive grid size based on explosion numerical simulation provided by the present invention. As Figure 1 shown, the method for determining the explosive grid size based on explosion numerical simulation includes: S101. Obtain the geometric similarity ratio of the target explosive and the initial explosive, where the initial explosive is geometrically similar to the target explosive and has the same explosive type; It should be noted that the most general explosion similarity law was first independently expressed by Hopkinson (1915) and Cranz (1926) as the "cube root" or Hopkinson-Cranz proportional law, which can be expressed as: For two charges exploding in the same air, if the charges are geometrically similar and the explosives are the same, then similar shock waves are generated at the same scaled distance. For two explosions with TNT charges of and , charge diameters of and , respectively, if the distances from the test points to the explosion centers are and , respectively, and satisfy:

[0027] In the formula, represents the geometric similarity ratio, or scale ratio.

[0028] Then, according to the explosion similarity law, at the same scaled distance, the following relationship holds:

[0029]

[0030] In the formula, and respectively represent the peak overpressure of the explosion shock waves of the two charges, and and respectively represent the positive phase durations of the explosion shock waves of the two charges.

[0031] The Hopkinson-Cranz scaling law has been verified through a wide range of charge amount tests. In this law, the pressure, temperature, density, and velocity at the corresponding time remain unchanged, while the time and impulse are multiplied by the geometric similarity ratio. Using the Hopkinson-Cranz scaling law to convert the results of the scaled model test to the prototype, for the grid size, if the appropriate grid size of the scaled numerical simulation test (i.e., the numerical simulation test of the initial explosive explosion) at a certain proportional distance is known, the appropriate grid size of the prototype numerical simulation test (i.e., the numerical simulation test of the target explosive explosion) can be determined by the geometric similarity ratio (scaling ratio). That is, according to the explosion similarity law, at the same proportional distance, the following relationship holds:

[0032] In the formula, and respectively represent the maximum acceptable grid sizes determined by the grid convergence analysis of the explosion shock waves of the two charges.

[0033] Therefore, if the appropriate grid size within a certain proportional distance range can be determined based on the scaled numerical simulation test (i.e., the numerical simulation test of the initial explosive explosion), and the relationship curve between the grid size of the scaled numerical simulation test and the proportional distance is plotted, the appropriate grid size of the prototype numerical simulation test (i.e., the numerical simulation test of the target explosive explosion) at any proportional distance can be determined by the geometric similarity ratio (scaling ratio).

[0034] In some embodiments of the present invention, the geometric similarity ratio is the diameter ratio of the target explosive to the initial explosive. It should be noted that the selection of the geometric similarity ratio can be adjusted according to actual needs and is not limited to the diameter ratio, which will not be elaborated one by one here.

[0035] S102. Obtain the initial grid sizes at different proportional distances obtained from the numerical simulation test of the initial explosive explosion; It should be noted that for the numerical simulation of the air explosion problem, if more attention is paid to the dynamic effect of the explosion shock wave on the structures in the near-explosion area, a relatively fine grid is required to make the impact load closer to the empirical formula; if the structure is located in the far-explosion area, a larger grid size can be used for simulation; in other words, the grid size is closely related to the proportional distance.

[0036] In order to obtain better initial grid sizes, in some embodiments of the present invention, a grid convergence analysis of the explosion shock wave in the free air field of a spherical charge with a unit mass (1 kg) at a specific ratio is carried out. Specifically, as Figure 2 shown, step S101 includes: S201. Conduct an explosion numerical simulation test on the initial explosive to obtain shock wave waveforms at different radial grid numbers and different scaled distances. It should be noted that the explosion numerical simulation test is specifically based on LS-DYNA to establish a 3D symmetric calculation model (1 / 8 model) including a spherical TNT charge and free air; 1 kg of charge (with a diameter of 105.4 mm) is selected for numerical simulation. The TNT material model is described by *MAT_HIGH_EXPLOSIVE_BURN in LS-DYNA, and the equation of state is described by the Jones-Wilkins-Lee (JWL) equation; the size of the air domain is 3 m × 3 m × 3 m, which is described by the *MAT_NULL material model and uses the *EOS_LINER_POLYNOMIAL equation of state; the TNT explosive and air are simulated using the Multi-material ALE algorithm element. The model boundary conditions include symmetric boundaries and outflow boundaries. Three faces close to the charge are set as symmetric boundaries, and the remaining three faces are set as outflow boundaries.

[0037] It should also be noted that the shock wave waveforms at different radial grid numbers and different scaled distances are as Figures 3 - 8 shown, where Figure 3 is the shock wave waveform diagram at different radial grid numbers when the scaled distance is 0.4 m / kg 1 / 3 ; Figure 4 is the shock wave waveform diagram at different radial grid numbers when the scaled distance is 0.6 m / kg 1 / 3 ; Figure 5 is the shock wave waveform diagram at different radial grid numbers when the scaled distance is 1.2 m / kg 1 / 3 ; Figure 6 is the shock wave waveform diagram at different radial grid numbers when the scaled distance is 1.6 m / kg 1 / 3 ; Figure 7 is the shock wave waveform diagram at different radial grid numbers when the scaled distance is 2.0 m / kg 1 / 3 ; Figure 8 is the shock wave waveform diagram at different radial grid numbers when the scaled distance is 2.4 m / kg 1 / 3 ;

[0038] S202. Determine the minimum number of radial grids at different scaled distances based on the characteristic parameters of the shock wave waveforms. In some embodiments of the present invention, through comparative analysis Figures 3 - 8The influence of different grid sizes on the shock wave waveform. Considering characteristic parameters such as the peak overpressure, positive pressure arrival time, and positive pressure duration, it should be noted that the selection of characteristic parameters can be adjusted according to actual needs and is not limited to the peak overpressure, positive pressure arrival time, and positive pressure duration, which will not be elaborated one by one here. Calculate the deviation values of the characteristic parameters of the shock wave waveform with the maximum number of radial grids at the same scaled distance from those of other shock wave waveforms, select the minimum number of radial grids with deviation values within the preset range, and determine the minimum number of radial grids at different scaled distances. The relationship curve between the minimum number of radial grids of the initial explosive and the scaled distance established thereby is as shown in Figure 9 As shown. Through curve fitting, the relationship curve between the minimum number of radial grids of the initial explosive and the scaled distance can be expressed by the following formula:

[0039] In the formula, represents the minimum number of radial grids, represents the scaled distance, and the fitting accuracy of this formula is , and the applicable range is .

[0040] S203. Based on the minimum number of radial grids at different scaled distances, obtain the initial grid sizes at different scaled distances.

[0041] In some embodiments of the present invention, step S204 includes: determining the negative correlation relationship between the minimum number of radial grids and the grid size according to the diameter of the initial explosive. Here, the negative correlation relationship specifically means that the grid size is equal to the charge diameter divided by the minimum number of radial grids. Based on the negative correlation relationship and the minimum number of radial grids at different scaled distances, determine the initial grid sizes at different scaled distances.

[0042] S103. Based on the product result of the geometric similarity ratio and the initial grid sizes at different scaled distances, determine the target grid sizes at different scaled distances for the explosion numerical simulation test of the target explosive.

[0043] In summary, the present invention utilizes the explosion similarity ratio to convert the results obtained from the explosion numerical simulation test of the initial explosive to the explosion numerical simulation test of the target explosive. Only by knowing the appropriate grid size of the initial explosive explosion numerical simulation test at a certain scaled distance, the appropriate grid size of the target explosive numerical simulation test at any scaled distance can be determined by the geometric similarity ratio, so as to apply to the explosion scenarios when the explosive equivalent and the distance from the explosion center change and obtain a more reasonable grid size.

[0044] To ensure the accuracy of the numerical simulation calculation results, in some embodiments of the present invention, as shown in Figure 10 , after step S203, the method further includes: S1001. Conduct an explosion numerical simulation test on the initial explosive based on the minimum number of radial grids at different scale distances, and obtain the numerical simulation calculation results of the target characteristic parameters including the shock wave waveform; S1002. Obtain the empirical formula calculation results of the target characteristic parameters including the shock wave waveform calculated by the empirical formula; In some embodiments of the present invention, the target characteristic parameter is selected as the peak value of the free-field overpressure. The empirical formulas include the UFC3-340-02 formula, the Sadovskyi formula, the Baker formula, and the Henrych formula. It should be noted that the selection of the target characteristic parameter and the empirical formula can be adjusted according to actual needs, and is not limited to the overpressure peak value, the UFC3-340-02 formula, the Sadovskyi formula, the Baker formula, and the Henrych formula, which will not be elaborated one by one here.

[0045] S1003. Calculate the error between the numerical simulation calculation results and the empirical formula calculation results, and verify the minimum number of radial grids at different scale distances based on the error.

[0046] It should be noted that the numerical simulation calculation results and the empirical formula calculation results are as Figure 11 shown, and as Figure 11 can be seen, the error between the numerical simulation calculation results and the empirical formula calculation results is small, which indicates the reliability and accuracy of the relationship curve established between the minimum number of radial grids and the scale distance.

[0047] In order to better implement a method for determining the explosive grid size based on explosion numerical simulation in the embodiments of the present invention, correspondingly, on the basis of a method for determining the explosive grid size based on explosion numerical simulation, as Figure 12 shown, the embodiments of the present invention further provide an explosive grid size determination device 1200, including: An explosive parameter acquisition unit 1201, configured to acquire the geometric similarity ratio between the target explosive and the initial explosive, where the target explosive and the initial explosive are geometrically similar and have the same explosive type; A test data acquisition unit 1202, configured to acquire the initial grid sizes at different scale distances obtained by conducting an explosion numerical simulation test on the initial explosive; A grid size determination unit 1203, configured to determine the target grid sizes at different scale distances when conducting an explosion numerical simulation test on the target explosive based on the product result of the geometric similarity ratio and the initial grid sizes at different scale distances.

[0048] The explosive grid size determination device 1200 provided in the above embodiments can implement the technical solutions described in the embodiments of the explosive grid size determination method based on explosion numerical simulation. For the specific implementation principles of the above units, reference can be made to the corresponding content in the embodiments of the explosive grid size determination method based on explosion numerical simulation, which will not be elaborated here.

[0049] As Figure 13 shown, the present invention also correspondingly provides an electronic device 1300. The electronic device 1300 includes a processor 1301, a memory 1302, and a display 1303. Figure 13 Only some components of the electronic device 1300 are shown, but it should be understood that it is not required to implement all the shown components, and more or fewer components can be alternatively implemented.

[0050] In some embodiments, the memory 1302 may be an internal storage unit of the electronic device 1300, such as the hard disk or memory of the electronic device 1300. In other embodiments, the memory 1302 may also be an external storage device of the electronic device 1300, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. equipped on the electronic device 1300.

[0051] Furthermore, the memory 1302 may also include both the internal storage unit and the external storage device of the electronic device 1300. The memory 1302 is used to store the application software installed on the electronic device 1300 and various types of data.

[0052] In some embodiments, the processor 1301 may be a central processing unit (CPU), a microprocessor, or other data processing chips, and is used to run the program code stored in the memory 1302 or process data, such as the explosive grid size determination method in the present invention.

[0053] In some embodiments, the display 1303 may be an LED display, a liquid crystal display, a touch liquid crystal display, and an OLED (Organic Light-Emitting Diode) toucher, etc. The display 1303 is used to display the information in the electronic device 1300 and to display a visual user interface. The components 1301 - 1303 of the electronic device 1300 communicate with each other through the system bus.

[0054] In some embodiments of the present invention, when the processor 1301 executes the explosive grid size determination program in the memory 1302, the following steps can be implemented: Obtain the geometric similarity ratio between the target explosive and the initial explosive, where the target explosive and the initial explosive are geometrically similar and of the same explosive type; Obtain the initial grid sizes at different scaled distances obtained from the explosion numerical simulation test on the initial explosive; Based on the product result of the geometric similarity ratio and the initial grid sizes at different scaled distances, determine the target grid sizes at different scaled distances for the explosion numerical simulation test on the target explosive.

[0055] It should be understood that when the processor 1301 executes the explosive grid size determination program in the memory 1302, in addition to the above functions, other functions can also be realized. For details, reference can be made to the description of the corresponding method embodiments above.

[0056] Furthermore, the embodiments of the present invention do not specifically limit the type of the mentioned electronic device 1300. The electronic device 1300 can be a portable electronic device such as a mobile phone, a tablet computer, a personal digital assistant (PDA), a wearable device, a laptop computer, etc. Exemplary embodiments of the portable electronic device include, but are not limited to, portable electronic devices running IOS, android, microsoft or other operating systems. The above portable electronic devices can also be other portable electronic devices, such as a laptop computer with a touch-sensitive surface (such as a touch panel). It should also be understood that in some other embodiments of the present invention, the electronic device 1300 can also not be a portable electronic device, but a desktop computer with a touch-sensitive surface (such as a touch panel).

[0057] Correspondingly, the embodiments of the present invention also provide a computer-readable storage medium. The computer-readable storage medium is used to store computer-readable programs or instructions. When the programs or instructions are executed by a processor, the steps or functions of the explosive grid size determination method based on explosion numerical simulation provided by the above method embodiments can be realized.

[0058] Those skilled in the art can understand that all or part of the processes of implementing the methods in the above embodiments can be completed by instructing relevant hardware through a computer program. The above programs can be stored in a computer-readable storage medium. Among them, the computer-readable storage medium is a disk, an optical disk, a read-only memory or a random access memory, etc.

[0059] The above has introduced in detail a method for determining the explosive grid size based on explosive numerical simulation. In this article, specific examples are used to elaborate on the principle and implementation of the present invention. The description of the above embodiments is only used to help understand the method and its core idea of the present invention; at the same time, for those skilled in the art, according to the idea of the present invention, there will be changes in the specific implementation and application scope. In summary, the content of this specification should not be construed as a limitation on the present invention.

[0060] As described above, the above are only the preferred specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by those skilled in the art within the technical scope disclosed by the present invention should be covered within the protection scope of the present invention.

Claims

1. A method for determining explosive grid size based on explosion numerical simulation, characterized in that: include: Obtaining a geometric similarity ratio between a target explosive and an initial explosive, wherein the target explosive and the initial explosive are geometrically similar and of the same explosive type; Obtaining initial grid sizes at different proportional distances obtained by performing explosion numerical simulation tests on the initial explosive; Based on the product result of the geometric similarity ratio and the initial grid size at different proportional distances, the target grid size at different proportional distances when performing an explosion numerical simulation test on the target explosive is determined.

2. The method for determining explosive grid size based on explosion numerical simulation according to claim 1, characterized in that: Obtain the initial mesh sizes at different scale distances obtained from the explosion numerical simulation test of the initial explosive, including: The explosion numerical simulation test of the initial explosive was carried out to obtain the shock wave waveforms under different radial grid numbers and different proportional distances; Based on the characteristic parameters of the shock wave waveform, determining the minimum number of radial grids at different proportional distances; Based on the radial minimum number of grids at different proportional distances, initial grid sizes at different proportional distances are obtained.

3. The method for determining explosive grid size based on explosion numerical simulation according to claim 2, characterized in that: Based on the characteristic parameters of the shock wave waveform, the minimum number of radial grids at different proportional distances is determined, including: The deviation value of the characteristic parameters of the shock wave waveform with the largest radial grid number and other shock wave waveforms at the same proportional distance is calculated, and the radial minimum grid number with the deviation value within a preset range is selected to determine the radial minimum grid number at different proportional distances.

4. The method for determining explosive grid size based on explosion numerical simulation according to claim 2, characterized in that: Based on the radial minimum number of meshes at different proportional distances, the initial mesh sizes at different proportional distances are obtained, including: The negative correlation between the minimum number of radial grids and the grid size is determined according to the diameter of the initial explosive, and the initial grid size at different proportional distances is determined based on the negative correlation and the minimum number of radial grids at different proportional distances.

5. The method for determining explosive grid size based on explosion numerical simulation according to claim 2, characterized in that: After determining the minimum number of radial grids at different proportional distances based on the characteristic parameters of the shock wave waveform, the method further includes: Based on the minimum number of radial grids at different proportional distances, an explosion numerical simulation test is performed on the initial explosive to obtain numerical simulation calculation results of target characteristic parameters including shock wave waveforms; Obtaining an empirical formula calculation result including target characteristic parameters of the shock wave waveform calculated by the empirical formula; The error between the numerical simulation result and the empirical formula result is calculated, and the radial minimum number of grids under the different proportional distances is verified based on the error.

6. The method for determining explosive grid size based on explosion numerical simulation according to claim 5, characterized in that: The empirical formulas include UFC3-340-02 formula, Sadovskyi formula, Baker formula and Henrych formula.

7. The method for determining explosive grid size based on explosion numerical simulation according to claim 1, characterized in that: The geometric similarity ratio is the diameter ratio of the target explosive to the initial explosive.

8. An explosive grid size determination device, characterized in that: include: An explosive parameter acquisition unit, used to acquire a geometric similarity ratio between a target explosive and an initial explosive, wherein the target explosive and the initial explosive are geometrically similar and of the same explosive type; A test data acquisition unit, used to acquire initial grid sizes at different proportional distances obtained by performing an explosion numerical simulation test on the initial explosive; The grid size determination unit is used to determine the target grid size at different proportional distances when performing an explosion numerical simulation test on the target explosive based on the product result of the geometric similarity ratio and the initial grid size at different proportional distances.

9. An electronic device, characterized in that: including memory and processor; The memory is used to store programs; The processor is coupled to the memory and is used to execute the program stored in the memory to implement the steps of the method for determining the explosive grid size based on explosion numerical simulation as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The readable storage medium stores a program or instruction, and when the program or instruction is executed by the processor, the steps of the method for determining the explosive grid size based on explosion numerical simulation described in any one of claims 1 to 7 are implemented.

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