Mapping relation model and response prediction method for penetration ultrahigh overload environment

Abstract

The invention provides a mapping relation model and response prediction method for a penetration ultrahigh overload environment, relates to the technical field of weapon equipment and damage, and is used for solving the problem that the ultrahigh overload response cannot be effectively predicted due to the fact that a mapping relation between a projectile state parameter and the overload response is unknown. Comprising the following steps: determining a plurality of related physical parameters related to the ultrahigh overload response of the projectile, establishing an initial model for representing a mapping relation between the related physical parameters and the ultrahigh overload response, carrying out dimensional analysis, and introducing a power coefficient, obtaining a preset model representing a mapping relation among the related physical parameters, the power coefficient and the ultrahigh overload response; and determining a power coefficient by combining numerical simulation data with a numerical analysis method, and establishing a mapping relation model of penetration ultrahigh overload. The method is simple and high in precision, can be used for predicting the ultrahigh overload response in the penetration process, guides the efficient design of an ultrahigh overload test scheme, and provides an effective technical means for the ultrahigh overload resistant design of a missile-borne device.

Description

Technical Field

[0001] The present application relates to the field of weapon equipment and damage technology, and specifically to a mapping relationship model and response prediction method for penetrating an ultra-high overload environment. Background Art

[0002] The penetration process is an indispensable key link for military weapons to achieve precision strike operations. Under the influence of multiple factors such as high-depth and hard target groups, high-speed and high-strength projectiles, and large deformation failure and destruction behaviors, the penetration process of guided ammunition will produce an extreme ultra-high overload environment. In the process of the projectile penetrating steel targets and concrete target plates, the projectile is usually subjected to extremely strong impact, and the overload value range is from tens of thousands of g to hundreds of thousands of g (where g is the acceleration of gravity, and its value is about 9.8m / s² under standard conditions). This overload range far exceeds the mechanical strength under conventional conditions. In addition, the multiple load coupling effects and time accumulation effects that guided ammunition is subjected to during penetration make it difficult to clarify the ultra-high overload mechanism under the overload environment.

[0003] In the existing technology, prototype tests are usually used to analyze the ultra-high overload mechanism under overload conditions. The ultra-high overload test signal in the test includes the rigid body overload caused by the missile-target action and the vibration response of each structure of the missile-loading system and the contact and collision of each component. Material deformation problems such as projectile breakage and target plate opening may occur. The test cost is high and the acquisition is extremely difficult. Summary of the invention

[0004] In view of the above defects or deficiencies in the prior art, the present application aims to provide a mapping relationship model and response prediction method for penetrating an ultra-high overload environment, comprising the following steps: Determine a number of relevant physical parameters related to the super-high overload response of the projectile; the super-high overload response is the acceleration of the projectile when the internal overload of the projectile is greater than or equal to a first preset threshold; Based on all the relevant physical parameters, an initial model is established to characterize the mapping relationship between the relevant physical parameters and the ultra-high overload response; Performing dimensional analysis and logarithmic processing on the initial model to introduce a power coefficient into the mapping relationship between relevant physical parameters and ultra-high overload response; Based on the power coefficient, a preset model is obtained to characterize the mapping relationship between relevant physical parameters, power coefficient and ultra-high overload response; A numerical analysis method is used to obtain target data of the power coefficient, and then a mapping relationship model of ultra-high overload penetration is obtained; The actual data of the relevant physical parameters of the projectile to be predicted are input into the mapping relationship model to obtain the ultra-high overload response of the projectile to be predicted.

[0005] According to the technical solution provided by the present application, the determination of several relevant physical parameters related to the super-high overload response of the projectile includes at least the following steps: Acquire several adjustable parameters, and construct a projectile-target finite element simulation model, and based on the projectile-target finite element simulation model, perform correlation analysis on each of the adjustable parameters to obtain the correlation degree of each of the adjustable parameters; A plurality of the adjustable parameters whose correlation is greater than or equal to a second preset threshold are used as the relevant physical parameters.

[0006] According to the technical solution provided by the present application, the correlation analysis of each adjustable parameter based on the projectile-target finite element simulation model to obtain the correlation of each adjustable parameter includes at least the following steps: An accelerometer is arranged at a corresponding measuring point in the projectile of the projectile-target finite element simulation model to obtain initial acceleration data of the corresponding measuring point in the projectile; the initial acceleration data is the acceleration at the corresponding measuring point in the projectile when each of the adjustable parameters is in the initial state; Determine that one of the adjustable parameters is a variable adjustable parameter, change the variable adjustable parameter and keep all other adjustable parameters except the variable adjustable parameter unchanged, and obtain acceleration reference data of the adjustable parameter; All adjustable parameters are traversed to obtain acceleration reference data of each adjustable parameter; and the reciprocal of the absolute value of the difference between the acceleration reference data and the acceleration initial data is used as the correlation.

[0007] According to the technical solution provided in this application, the construction of the projectile target finite element simulation model includes at least the following steps: Obtaining an initial finite element simulation model, and calculating the accuracy of the initial finite element simulation model; If the accuracy of the initial finite element simulation model is greater than a third preset threshold, the initial finite element simulation model is used as a projectile-target finite element simulation model; if the accuracy of the initial finite element simulation model is less than or equal to the third preset threshold, the projectile-target contact type and rigidity factor parameters of the initial finite element simulation model are adjusted to obtain a projectile-target finite element simulation model.

[0008] According to the technical solution provided by the present application, the calculation of the accuracy of the initial finite element simulation model includes at least the following steps: Acquire a first sample set of multiple projectile penetration target plate tests, wherein the first sample set includes test data of several groups of the relevant physical parameters corresponding to each test, and test data of ultra-high overload response in the projectile; Based on the test data of each group of the relevant physical parameters, the initial finite element simulation model is set to obtain simulation data of the ultra-high overload response in the projectile; Based on the simulation data of the ultra-high overload response in the projectile and the test data, the accuracy of the initial finite element simulation model is obtained.

[0009] According to the technical solution provided by the present application, obtaining a preset model characterizing the mapping relationship between relevant physical parameters, power coefficients and ultra-high overload response based on the power coefficients at least includes the following steps: Obtaining the dimensions of each of the related physical parameters to obtain a dimension formula; The dimensional formula is dimensionally classified and simplified to obtain a relationship between the power coefficients of several relevant physical parameters; Based on each of the relationship expressions, the initial model is simplified to obtain the preset model.

[0010] According to the technical solution provided by the present application, the use of a numerical analysis method to fit the target data of the power coefficient includes at least the following steps: Determining sampling data of each of the relevant physical parameters; Substituting the sampled data of each group of the relevant physical parameters into a missile-target finite element simulation model to obtain a simulation data set, wherein the simulation data set includes the sampled data of several groups of the relevant physical parameters and simulation data of ultra-high overload response corresponding to each group of the relevant physical parameters; Based on the simulation data set, the power coefficient is fitted by least squares to obtain target data of the power coefficient.

[0011] According to the technical solution provided by the present application, after substituting the sampled data of each group of the relevant physical parameters into the projectile-target finite element simulation model to obtain the simulation data set, the following steps are also included: Dividing the simulation data set into a test set and a validation set; The least squares fitting of the power coefficients based on the simulation data set comprises at least the following steps: Based on the test set, performing least squares fitting on the power coefficients; The method of obtaining the mapping relationship model of the ultra-high overload penetration includes the following steps: Performing least square fitting on the power coefficient based on the test set to obtain a mapping relationship model of ultra-high overload penetration; After obtaining the mapping relationship model of the penetration ultra-high overload, the following steps are also included: The mapping relationship model is verified for accuracy using the verification set to obtain an error of the mapping relationship model.

[0012] According to the technical solution provided by the present application, the determining of the sampling data of each of the related physical parameters comprises at least the following steps: Determine fixed parameters and set preset data of the fixed parameters; A Latin hypercube sampling method is used to obtain several groups of sampling data of other relevant physical parameters except the fixed parameters; the sampling data and the preset data constitute the sampling data of each of the relevant physical parameters.

[0013] According to the technical solution provided by the present application, substituting the sampled data of each group of the relevant physical parameters into the projectile-target finite element simulation model to obtain a simulation data set includes at least the following steps: Substituting the sampled data of each group of the relevant physical parameters and the preset data of the fixed parameters into the projectile-target finite element simulation model to obtain the acceleration curve corresponding to each group of the relevant physical parameters; The acceleration peak value in each of the acceleration curves is extracted, and the acceleration peak value is used as simulation data of the ultra-high overload response corresponding to the relevant physical parameter.

[0014] Compared with the prior art, the beneficial effect of the present application is that the present application constructs an initial model according to relevant physical parameters related to the ultra-high overload response, and then performs dimensional analysis and logarithmic processing on the initial model to obtain a preset model, and finally adopts the least squares method to fit the target data of the power coefficients in the preset model to obtain a mapping relationship model of ultra-high overload penetration. Using the mapping relationship model, the ultra-high overload response in the process of the projectile penetrating the target plate can be predicted without conducting prototype tests, so as to guide the analysis of the ultra-high overload mechanism under the overload environment under the influence of various load coupling effects and time accumulation effects borne by the guided ammunition during penetration. The method is simple and the prediction cost is low. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A schematic diagram of the structure of the mapping relationship model and response prediction method for penetrating an ultra-high overload environment provided in this application; Figure 2 The corresponding curve diagram of target plate thickness and projectile velocity provided for this application; Figure 3 A schematic diagram of the structure of the target and projectile provided for this application; Figure 4 A schematic diagram of the internal structure of the projectile provided for this application; Figure 5 This is a waveform diagram of the super-high overload response of the projectile provided in this application.

[0016] Numbers in the figure: 1. Target board; 2. Projectile. DETAILED DESCRIPTION

[0017] The present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the relevant invention, rather than to limit the invention. It is also necessary to explain that, for ease of description, only the parts related to the invention are shown in the accompanying drawings.

[0018] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0019] As mentioned in the background technology, in view of the problems in the prior art, this application proposes a mapping relationship model and response prediction method for penetrating an ultra-high overload environment, referring to Figure 1 As shown, the following steps are included: S1. Determine several relevant physical parameters related to the super-high overload response of the projectile 2; the super-high overload response is the acceleration of the projectile 2 when the internal overload of the projectile 2 is greater than or equal to a first preset threshold; Specifically, the relevant physical parameters include at least the projectile penetration speed , target plate thickness d, incident angle of projectile 2 and target plate 1 , target plate density ρ, target plate elastic modulus E, target plate yield strength σ and projectile mass m.

[0020] Furthermore, considering that during the oblique penetration process, the component velocity loss in the direction perpendicular to the target plate 1 is the largest, and the kinetic energy loss in the other directions is small, the penetration velocity is simplified to the component velocity in the direction perpendicular to the target plate 1:

[0021] In the formula, represents the component velocity in the direction perpendicular to the target plate 1, Indicates the penetration speed of the projectile, Represents the angle of incidence.

[0022] S2. Based on all the relevant physical parameters, an initial model is established to characterize the mapping relationship between the relevant physical parameters and the ultra-high overload response; Specifically, the initial model is:

[0023] In the formula, represents the ultra-high overload response of the projectile 2, and A, B, C, D, and E are initial coefficients corresponding to the relevant physical parameters; S3, performing dimensional analysis and logarithmic processing on the initial model to introduce a power coefficient into the mapping relationship between relevant physical parameters and ultra-high overload response; S4. Based on the power coefficient, a preset model is obtained to characterize the mapping relationship between the relevant physical parameters, the power coefficient and the ultra-high overload response; Furthermore, obtaining a preset model based on the power coefficient to characterize the mapping relationship between the relevant physical parameters, the power coefficient and the ultra-high overload response comprises at least the following steps: Obtaining the dimensions of each of the related physical parameters to obtain a dimension formula; The dimensional formula is dimensionally classified and simplified to obtain a relationship between the power coefficients of several relevant physical parameters; Based on each of the relationship expressions, the initial model is simplified to obtain the preset model.

[0024] Specifically, the initial model is subjected to dimensional analysis, the dimension of the target plate thickness d is L, and the component velocity The dimension of the target plate yield strength σ is M / LT 2 ; The target plate density ρ and the target plate elastic modulus E together constitute the sound velocity, whose dimension is L / T, and the mass dimension is M. Therefore, the dimensional formula obtained is:

[0025] The dimensional formula is classified and simplified to obtain the relationship between the coefficients of the power terms, that is, the relationship between the power coefficients of the relevant physical parameters is:

[0026] Substituting the above relationship into the initial model is:

[0027] Perform logarithmic processing on the above formula to obtain the preset model:

[0028] S5. Using a numerical analysis method, fitting the target data of the power coefficient is performed to obtain a mapping relationship model of the ultra-high overload penetration; Specifically, in the field of weapons and equipment and damage technology, when analyzing the ultra-high overload mechanism under an overload environment, people often only consider the characteristics of the projectile, and then use the sampling method to obtain simulation data, add experimental test data, and form a series of data groups, which are substituted into the expression to obtain unknown parameters. This method will lead to poor universality of the analysis method. Based on this, the present application simultaneously considers the projectile parameters and the target plate parameters (both including geometric dimensions, material properties, and initial conditions) for dimensional analysis, and gives a theoretical expression (constructs a mapping model). Therefore, the analysis method proposed in the present application can be applied not only to steel target plates, but also to other materials, such as aluminum alloys, concrete, and other commonly used target plates. Compared with traditional methods, the projectile parameters and target plate parameters are considered at the same time, so it can be extended to other types of tests. At the same time, since this scheme considers the characteristic dimensions and material characteristic parameters of the target plate, and couples the analysis with the geometric dimensions and characteristic parameters of the projectile, when constructing the mapping model, it is different from the existing model. The formula uses the common material characteristic parameters of the target plate material, combined with the power product processing method of each physical quantity, and uses the dimensional analysis method to reduce the number of linearly related physical quantities, so that the entire mapping model can be applied to commonly used projectiles and target plate materials, with a wider range of universality, and the calculation results are more accurate.

[0029] Furthermore, the use of a numerical analysis method to obtain the target data of the power coefficient comprises at least the following steps: Determining sampling data of each of the relevant physical parameters; Further, the determining of the sampling data of each of the related physical parameters comprises at least the following steps: Determine fixed parameters and set preset data of the fixed parameters; Specifically, the fixed parameters are target plate density ρ, elastic modulus E, target plate yield strength σ, and projectile mass m. The target plate material and projectile type are Q235 steel and 100 custom projectiles for testing. The preset data for setting the fixed parameters is: target plate density ρ = 7850 kg / m 3 , elastic modulus E = 2.1 × 10 11 N / m 2 , target plate yield strength σ = 3.5 × 10 8 N / m 2 , projectile mass m=20kg.

[0030] A Latin hypercube sampling method is used to obtain several groups of sampling data of other relevant physical parameters except the fixed parameters; the sampling data and the preset data constitute the sampling data of each of the relevant physical parameters.

[0031] Substituting the sampled data of each group of the relevant physical parameters into a missile-target finite element simulation model to obtain a simulation data set, wherein the simulation data set includes the sampled data of several groups of the relevant physical parameters and simulation data of ultra-high overload response corresponding to each group of the relevant physical parameters; The Latin hypercube sampling method is used to sample the target thickness d and the component velocity in the direction perpendicular to the target plate 1. Two related physical parameters are sampled to obtain a simulation data set.

[0032] Furthermore, the simulation data set is divided into a test set and a validation set, wherein the test set has 27 groups of data and the validation set has 9 groups of data. Simulation calculations are performed on each group of results to extract the peak value of the acceleration curve. The specific results are shown in Tables 1 and 2.

[0033] Table 1 Test set data

[0034] Table 2 Validation set data

[0035] Based on the simulation data set, the power coefficient is fitted by least squares to obtain target data of the power coefficient.

[0036] Furthermore, based on the test set, the least squares fitting is performed on the power coefficients to determine that A is 0.48 and B is 0.29. Thus, the mapping relationship model of ultra-high overload penetration is obtained as follows:

[0037] Furthermore, the accuracy of the mapping relationship model of the penetration ultra-high overload is verified through the verification set to obtain the error of the mapping relationship model of the penetration ultra-high overload; The accuracy of the mapping relationship model of ultra-high overload penetration is verified by the simulated overload response in the validation set data in Table 2. The average error of the model is 5.26%. The mapping relationship model of ultra-high overload penetration constructed by this method greatly reduces the experimental simulation cost and time, has high prediction accuracy, and the mapping result is true and effective.

[0038] S6. Input the actual data of the relevant physical parameters of the projectile 2 to be predicted into the mapping relationship model to obtain the ultra-high overload response of the projectile 2 to be predicted.

[0039] In a preferred embodiment, the determining of several relevant physical parameters related to the super-high overload response of the projectile 2 comprises at least the following steps: Acquire several adjustable parameters, and construct a projectile-target finite element simulation model, and based on the projectile-target finite element simulation model, perform correlation analysis on each of the adjustable parameters to obtain the correlation degree of each of the adjustable parameters; A plurality of the adjustable parameters whose correlation is greater than or equal to a second preset threshold are used as the relevant physical parameters.

[0040] Furthermore, the construction of the projectile-target finite element simulation model at least includes the following steps: Obtaining an initial finite element simulation model, and calculating the accuracy of the initial finite element simulation model; If the accuracy of the initial finite element simulation model is greater than a third preset threshold, the initial finite element simulation model is used as a projectile-target finite element simulation model; if the accuracy of the initial finite element simulation model is less than or equal to the third preset threshold, the projectile-target contact type and rigidity factor parameters of the initial finite element simulation model are adjusted to obtain a projectile-target finite element simulation model.

[0041] Furthermore, the calculating the accuracy of the initial finite element simulation model comprises at least the following steps: Acquire a first sample set of multiple tests of the projectile 2 penetrating the target plate 1, wherein the first sample set includes test data of several groups of the relevant physical parameters corresponding to each test, and test data of the ultra-high overload response in the projectile 2; Based on the test data of each group of the relevant physical parameters, the initial finite element simulation model is set to obtain simulation data of the ultra-high overload response in the projectile 2; Based on the simulation data of the ultra-high overload response in the projectile 2 and the test data, the accuracy of the initial finite element simulation model is obtained.

[0042] Specifically, the process of the projectile 2 penetrating the target plate 1 is as follows: Figure 3 As shown, the internal structure of the projectile 2 is as follows Figure 4 As shown, a target penetration test is designed to obtain the first sample set, using a 100mm artillery launcher with a muzzle distance of 50m from the target plate. The projectile material is 35CrMnSiA, the projectile 2 has a diameter of 100mm and a mass of 20kg; the target plate 1 is a square target made of Q235 material, and the size is 1500mm×1500mm square target.

[0043] Furthermore, the acceleration sensor used in the test is a small high-range test device with a range of 100,000 g (it should be noted that the g involved in the descriptions, tables and drawings in this specification is the acceleration of gravity, and its value is about 9.8 m / s² under standard conditions), a single-axis acceleration sensor is used, the sampling frequency is 200k, and the sampling time is 1s. The device is used to obtain the test data of the ultra-high overload response in the projectile 2 in the first sample set when the projectile 2 penetrates the target; The speed of projectile 2 was changed by adjusting the gun charging method. Two Q235 steel targets with different thicknesses were selected as the penetration objects. The penetration angles were normal penetration and oblique penetration. The three test quantities were adjusted to complete the on-target penetration test. The test data of the ultra-high overload response in projectile 2 under each penetration condition were counted. Based on the relevant physical parameters in the target penetration test, a finite element simulation model of the projectile and target is established. Measuring points are set at the corresponding positions of the finite element simulation model of the projectile and target and the actual acceleration sensor. The acceleration curve at the measuring point is obtained by calculation. The peak value and pulse width of the test overload response and the simulation acceleration curve under the same relevant physical parameters are selected respectively. The accuracy of the simulation model is calculated by verifying the error between the two. If the accuracy of the initial finite element simulation model is greater than 90%, the initial finite element simulation model is used as the projectile-target finite element simulation model; if the accuracy of the initial finite element simulation model is less than or equal to 90%, the projectile-target contact type and rigidity factor parameters of the initial finite element simulation model are adjusted in combination with actual test conditions to improve the calculation accuracy of the simulation model and ensure that the calculation accuracy of the projectile-target finite element simulation model is higher than 90%.

[0044] In a preferred embodiment, the correlation analysis of each adjustable parameter based on the projectile-target finite element simulation model to obtain the correlation of each adjustable parameter comprises at least the following steps: An accelerometer is arranged at a corresponding measuring point in the projectile 2 of the projectile-target finite element simulation model to obtain initial acceleration data of the corresponding measuring point in the projectile 2; the initial acceleration data is the acceleration at the corresponding measuring point in the projectile 2 when each of the adjustable parameters is in the initial state; Determine that one of the adjustable parameters is a variable adjustable parameter, change the variable adjustable parameter and keep all other adjustable parameters except the variable adjustable parameter unchanged, and obtain acceleration reference data of the adjustable parameter; All adjustable parameters are traversed to obtain acceleration reference data of each adjustable parameter; and the reciprocal of the absolute value of the difference between the acceleration reference data and the acceleration initial data is used as the correlation.

[0045] In a preferred embodiment, substituting the sampled data of each group of the relevant physical parameters into the projectile-target finite element simulation model to obtain a simulation data set comprises at least the following steps: Substituting the sampled data of each group of the relevant physical parameters and the preset data of the fixed parameters into the projectile-target finite element simulation model to obtain the acceleration curve corresponding to each group of the relevant physical parameters; The acceleration peak value in each of the acceleration curves is extracted, and the acceleration peak value is used as simulation data of the ultra-high overload response corresponding to the relevant physical parameter.

[0046] Specifically, please refer to Figure 5 As shown ( Figure 5 The curve in the figure is the overload curve, and the amplitude point on the curve is the peak acceleration of the overload). Based on the mapping relationship model of penetration ultra-high overload, the relationship between ultra-high overload response (i.e., peak acceleration) and projectile velocity and target plate thickness is studied. Please refer to Figure 2 As shown in the figure, with the increase of projectile velocity and target plate thickness, the super-high overload response increases significantly. Among them, the projectile velocity has a greater impact on the super-high overload response during penetration, and as the target plate thickness gradually increases, the effect of velocity on the penetration overload peak decreases.

[0047] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and its core ideas of this application. The above is only the preferred implementation method of this application. It should be pointed out that due to the limitations of textual expression and the objective existence of infinite specific structures, ordinary technicians in this technical field can make several improvements, modifications or changes without departing from the principles of the present invention, and can also combine the above technical features in an appropriate manner; these improvements, modifications, changes or combinations, or the direct application of the inventive concept and technical solution to other occasions without improvement, should be regarded as the scope of protection of this application.

Claims

1. A mapping relationship model and response prediction method for penetrating ultra-high overload environment, characterized in that: The following steps are involved: Determine a number of relevant physical parameters related to the super-high overload response of the projectile; the super-high overload response is the acceleration of the projectile when the internal overload of the projectile is greater than or equal to a first preset threshold; Based on all the relevant physical parameters, an initial model is established to characterize the mapping relationship between the relevant physical parameters and the ultra-high overload response; Performing dimensional analysis and logarithmic processing on the initial model to introduce a power coefficient into the mapping relationship between relevant physical parameters and ultra-high overload response; Based on the power coefficient, a preset model is obtained to characterize the mapping relationship between relevant physical parameters, power coefficient and ultra-high overload response; A numerical analysis method is used to obtain target data of the power coefficient, and then a mapping relationship model of ultra-high overload penetration is obtained; The actual data of the relevant physical parameters of the projectile to be predicted are input into the mapping relationship model to obtain the ultra-high overload response of the projectile to be predicted.

2. The mapping relationship model and response prediction method for penetrating ultra-high overload environment according to claim 1 is characterized in that: Determining several relevant physical parameters related to the super-high overload response of the projectile comprises at least the following steps: Acquire several adjustable parameters, and construct a projectile-target finite element simulation model, and based on the projectile-target finite element simulation model, perform correlation analysis on each of the adjustable parameters to obtain the correlation degree of each of the adjustable parameters; A plurality of the adjustable parameters whose correlation is greater than or equal to a second preset threshold are used as the relevant physical parameters.

3. The mapping relationship model and response prediction method for penetrating ultra-high overload environment according to claim 2 is characterized in that: The method of performing correlation analysis on each of the adjustable parameters based on the projectile-target finite element simulation model to obtain the correlation of each of the adjustable parameters comprises at least the following steps: An accelerometer is arranged at a corresponding measuring point in the projectile of the projectile-target finite element simulation model to obtain initial acceleration data of the corresponding measuring point in the projectile; the initial acceleration data is the acceleration at the corresponding measuring point in the projectile when each of the adjustable parameters is in the initial state; Determine that one of the adjustable parameters is a variable adjustable parameter, change the variable adjustable parameter and keep all other adjustable parameters except the variable adjustable parameter unchanged, and obtain acceleration reference data of the adjustable parameter; All adjustable parameters are traversed to obtain acceleration reference data of each adjustable parameter; and the reciprocal of the absolute value of the difference between the acceleration reference data and the acceleration initial data is used as the correlation.

4. The mapping relationship model and response prediction method for penetrating ultra-high overload environment according to claim 2 is characterized in that: The construction of the projectile-target finite element simulation model at least includes the following steps: Obtaining an initial finite element simulation model, and calculating the accuracy of the initial finite element simulation model; If the accuracy of the initial finite element simulation model is greater than a third preset threshold, the initial finite element simulation model is used as a projectile-target finite element simulation model; if the accuracy of the initial finite element simulation model is less than or equal to the third preset threshold, the projectile-target contact type and rigidity factor parameters of the initial finite element simulation model are adjusted to obtain a projectile-target finite element simulation model.

5. The mapping relationship model and response prediction method for penetrating ultra-high overload environment according to claim 4 is characterized in that: The calculating the accuracy of the initial finite element simulation model comprises at least the following steps: Acquire a first sample set of multiple projectile penetration target plate tests, wherein the first sample set includes test data of several groups of the relevant physical parameters corresponding to each test, and test data of ultra-high overload response in the projectile; Based on the test data of each group of the relevant physical parameters, the initial finite element simulation model is set to obtain simulation data of the ultra-high overload response in the projectile; Based on the simulation data of the ultra-high overload response in the projectile and the test data, the accuracy of the initial finite element simulation model is obtained.

6. The mapping relationship model and response prediction method for penetrating ultra-high overload environment according to claim 1, characterized in that: The method of obtaining a preset model representing the mapping relationship between relevant physical parameters, power coefficients and ultra-high overload response based on the power coefficients at least includes the following steps: Obtaining the dimensions of each of the related physical parameters to obtain a dimension formula; The dimensional formula is dimensionally classified and simplified to obtain a relationship between the power coefficients of several relevant physical parameters; Based on each of the relationship expressions, the initial model is simplified to obtain the preset model.

7. The mapping relationship model and response prediction method for penetrating ultra-high overload environment according to claim 1 is characterized in that: The method of using a numerical analysis method to obtain the target data of the power coefficient comprises at least the following steps: Determining sampling data of each of the relevant physical parameters; Substituting the sampled data of each group of the relevant physical parameters into a missile-target finite element simulation model to obtain a simulation data set, wherein the simulation data set includes the sampled data of several groups of the relevant physical parameters and simulation data of ultra-high overload response corresponding to each group of the relevant physical parameters; Based on the simulation data set, the power coefficient is fitted by least squares to obtain target data of the power coefficient.

8. The mapping relationship model and response prediction method for penetrating ultra-high overload environment according to claim 7 is characterized in that: After substituting the sampled data of each group of the relevant physical parameters into the missile-target finite element simulation model to obtain a simulation data set, the following steps are also included: Dividing the simulation data set into a test set and a validation set; The least squares fitting of the power coefficients based on the simulation data set comprises at least the following steps: Based on the test set, performing least squares fitting on the power coefficients; The method of obtaining the mapping relationship model of the ultra-high overload penetration includes the following steps: Performing least square fitting on the power coefficient based on the test set to obtain a mapping relationship model of ultra-high overload penetration; After obtaining the mapping relationship model of the penetration ultra-high overload, the following steps are also included: The mapping relationship model is verified for accuracy using the verification set to obtain an error of the mapping relationship model.

9. The mapping relationship model and response prediction method for penetrating ultra-high overload environment according to claim 7, characterized in that: Determining the sampling data of each of the related physical parameters comprises at least the following steps: Determine fixed parameters and set preset data of the fixed parameters; A Latin hypercube sampling method is used to obtain several groups of sampling data of other relevant physical parameters except the fixed parameters; the sampling data and the preset data constitute the sampling data of each of the relevant physical parameters.

10. The mapping relationship model and response prediction method for penetrating ultra-high overload environment according to claim 9, characterized in that: Substituting the sampled data of each group of the relevant physical parameters into the projectile-target finite element simulation model to obtain a simulation data set comprises at least the following steps: Substituting the sampled data of each group of the relevant physical parameters and the preset data of the fixed parameters into the projectile-target finite element simulation model to obtain the acceleration curve corresponding to each group of the relevant physical parameters; The acceleration peak value in each of the acceleration curves is extracted, and the acceleration peak value is used as simulation data of the ultra-high overload response corresponding to the relevant physical parameter.

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