Design method and system for wave-absorbing structure of magnetic material containing dot matrix core layer

Abstract

The invention provides a design method and system for a wave-absorbing structure of a magnetic material containing a dot matrix core layer, relates to the technical field of stealth structure design, and aims to perform optimization design by determining the number of dielectric layers, dot matrix structure parameters and material attributes, setting a frequency range and a target wave-absorbing rate, establishing an equivalent electromagnetic parameter model and utilizing a swarm intelligence algorithm. According to the method, the bearing / wave absorbing integrated characteristic is achieved, the design efficiency and adaptability are improved, and it is ensured that the final performance meets the requirement.

Description

Technical Field

[0001] The present invention relates to the technical field of stealth structure design, and in particular to a design method and system for a magnetic material wave-absorbing structure containing a lattice core layer. Background Art

[0002] With the development of information and intelligence in modern warfare, performance requirements of "large load-bearing capacity, strong stealth, and high mobility" have been put forward for combat platforms such as aircraft. Although traditional stealth structures meet the stealth requirements to a certain extent, they still have the following shortcomings:

[0003] (1) Traditional stealth structures only consider electromagnetic characteristics and ignore the strength requirements of stealth structures due to large load-bearing and high maneuverability characteristics.

[0004] (2) Traditional stealth structures are difficult to achieve electromagnetic stealth in low-frequency bands.

[0005] Therefore, there is an urgent need for a new type of stealth structure that has both high load-bearing characteristics and low-frequency radar-absorbing stealth characteristics. Summary of the invention

[0006] In order to overcome the deficiencies of the prior art, an object of the present invention is to provide a method and system for designing a magnetic material absorbing structure containing a lattice core layer, which can effectively improve the design efficiency of a magnetic material absorbing structure containing a lattice core layer.

[0007] To achieve the above object, the present invention provides the following solutions:

[0008] A method for designing a magnetic material wave absorbing structure containing a lattice core layer, comprising:

[0009] Determine the number of dielectric layers of the absorbing structure to be designed, the lattice cell structure parameters of the lattice core layer and the geometric thickness of each dielectric layer, and set the material properties of each dielectric layer;

[0010] Set the upper and lower frequency limits of the absorbing frequency band, list the operating frequency points of the frequency band between the upper and lower frequency limits, and set the target absorption rate at each operating frequency point;

[0011] Establishing a mapping relationship between the lattice cell structure parameters and the material properties to obtain an equivalent electromagnetic parameter model;

[0012] Based on a swarm intelligence algorithm, the absorbing structure to be designed is optimized according to the equivalent electromagnetic parameter model, the target absorption rate, the geometric thickness and the lattice cell structure parameters to obtain optimized structural parameters;

[0013] A performance check is performed based on the optimized structural parameters and the target absorption rate, and it is determined whether to perform secondary optimization of the absorbing structure to be designed based on the result of the performance check.

[0014] Preferably, the material properties include complex permittivity and complex magnetic permeability.

[0015] Preferably, establishing a mapping relationship between the lattice cell structure parameters and the material properties to obtain an equivalent electromagnetic parameter model includes:

[0016] The reflection coefficient and transmission coefficient of the lattice interlayer are determined using the full wave analysis algorithm;

[0017] Based on the reflection coefficient and the transmission coefficient, an equivalent dielectric constant and an equivalent magnetic permeability are calculated using an equivalent electromagnetic parameter inversion algorithm, and the expressions of the equivalent dielectric constant and the equivalent magnetic permeability are determined as the equivalent electromagnetic parameter model; the calculation formula of the equivalent dielectric constant is: The calculation formula of the equivalent magnetic permeability is: eff =nz; where ε eff is the equivalent complex dielectric constant, μ eff is the equivalent complex magnetic permeability, z is the structural equivalent impedance, S 11 and S 21 Respectively represent the reflection coefficient and the transmission coefficient, n is the equivalent refractive index, and n is given by the formula Calculation shows that k0 is the free space wave impedance, and d is the thickness of the lattice interlayer;

[0018] Based on the equivalent dielectric constant and the equivalent magnetic permeability, a mapping model between structural parameters of a second-order fractal pyramid structure and equivalent electromagnetic parameters is constructed according to a fully connected network to obtain the equivalent electromagnetic parameter model.

[0019] Preferably, the full-wave analysis algorithm is any one of a finite-difference time-domain algorithm and a finite element method.

[0020] Preferably, based on a swarm intelligence algorithm, the absorbing structure to be designed is optimized according to the equivalent electromagnetic parameter model, the target absorbency, the geometric thickness and the lattice cell structure parameters to obtain optimized structural parameters, including:

[0021] Determine the geometric thickness and the lattice cell structure parameters as a variable set;

[0022] Determining the target absorbency as an optimization target;

[0023] Calculating according to the variable set and the equivalent electromagnetic parameter model to obtain a calculated wave absorption rate;

[0024] The objective function is determined according to the calculated absorbance and the target absorbance; the expression of the objective function is: Among them, Abtarget (f k ) is the kth operating frequency point f k The target absorption rate at Ab com (f k ) is the kth operating frequency point f k The calculated value of the absorption rate at, M is the number of the operating frequency points;

[0025] The swarm intelligence algorithm is used to optimize the optimization objective function to obtain optimized structural parameters.

[0026] Preferably, the swarm intelligence algorithm is a particle swarm optimization algorithm.

[0027] Preferably, a performance check is performed according to the optimized structural parameters and the target absorption rate, and according to the result of the performance check, it is determined whether to perform a secondary optimization of the absorbing structure to be designed, including:

[0028] Establishing an analysis model of a finite-difference time-domain method using the optimized structural parameters;

[0029] Calculating the wave absorption rate of the analysis model, and verifying whether the wave absorption performance meets the design target according to the wave absorption rate of the analysis model and the target wave absorption rate, to obtain a verification result;

[0030] If the verification result is negative, the geometric thickness of each dielectric layer is optimized a second time.

[0031] A magnetic material wave absorbing structure design system containing a lattice core layer, comprising:

[0032] A data initialization unit is used to determine the number of dielectric layers of the absorbing structure to be designed, the lattice cell structure parameters of the lattice core layer and the geometric thickness of each dielectric layer, and to set the material properties of each dielectric layer;

[0033] The frequency point determination unit is used to set the upper and lower frequency limits of the absorbing frequency band, list the working frequency points of the frequency band between the upper and lower frequency limits, and set the target absorption rate at each working frequency point;

[0034] A mapping construction unit, used to establish a mapping relationship between the lattice cell structure parameters and the material properties to obtain an equivalent electromagnetic parameter model;

[0035] A parameter optimization unit, configured to optimize the absorbing structure to be designed based on the equivalent electromagnetic parameter model, the target absorption rate, the geometric thickness and the lattice cell structure parameters to obtain optimized structural parameters;

[0036] The performance verification unit is used to perform performance verification according to the optimized structural parameters and the target absorption rate, and determine whether to perform secondary optimization of the absorbing structure to be designed according to the result of the performance verification.

[0037] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0038] The present invention provides a design method and system for a magnetic material absorbing structure containing a lattice core layer, which combines the excellent specific strength and specific stiffness characteristics of the lattice structure, can achieve large load-bearing characteristics under the constraint of "lightweight", and at the same time utilizes the low-frequency absorbing ability of magnetic materials to break through the limitations of traditional materials in low-frequency absorbing performance. This "load-bearing / absorbing" integrated characteristic enables the structure to have good mechanical properties while meeting the stealth requirements; through the swarm intelligence algorithm for structural optimization design, the design variables can be flexibly adjusted according to the target absorption rate, geometric thickness and lattice cell structure parameters. This flexibility enables designers to quickly respond to different design requirements and performance goals, improving the adaptability of the design; through the performance verification step, the effectiveness of the design can be evaluated in a timely manner, and secondary optimization can be performed based on the verification results. This feedback mechanism ensures that the final design can meet the expected performance requirements and reduces the risk of design failure. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0040] Figure 1 A flow chart of a method provided by an embodiment of the present invention;

[0041] Figure 2 A design flow chart provided for an embodiment of the present invention;

[0042] Figure 3 A schematic diagram of a wave absorbing structure provided in an embodiment of the present invention;

[0043] Figure 4 A schematic diagram of a dielectric layer provided by an embodiment of the present invention;

[0044] Figure 5 A schematic diagram of optimization parameters of a single support rod provided by an embodiment of the present invention;

[0045] Figure 6 A schematic diagram of full-wave analysis results of the wave absorption rate before and after the secondary optimization provided by an embodiment of the present invention;

[0046] Figure 7 A schematic diagram of the system structure provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] The purpose of the present invention is to provide a method and system for designing a magnetic material absorbing structure containing a lattice core layer, which can effectively improve the design efficiency of the magnetic material absorbing structure containing a lattice core layer.

[0049] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0050] Figure 1 A flow chart of a method provided by an embodiment of the present invention, such as Figure 1 As shown, the present invention provides a method for designing a magnetic material wave absorbing structure containing a lattice core layer, comprising:

[0051] Step 100: Determine the number of dielectric layers of the absorbing structure to be designed, the lattice cell structure parameters of the lattice core layer and the geometric thickness of each dielectric layer, and set the material properties of each dielectric layer;

[0052] Step 200: setting the upper frequency limit and the lower frequency limit of the absorbing frequency band, listing the operating frequency points of the frequency band between the upper frequency limit and the lower frequency limit, and setting the target absorption rate at each operating frequency point;

[0053] Step 300: establishing a mapping relationship between lattice cell structure parameters and material properties to obtain an equivalent electromagnetic parameter model;

[0054] Step 400: Based on a swarm intelligence algorithm, an optimization design of the absorbing structure to be designed is performed according to an equivalent electromagnetic parameter model, a target absorption rate, a geometric thickness and lattice cell structure parameters to obtain optimized structural parameters;

[0055] Step 500: Perform performance verification according to the optimized structural parameters and the target absorption rate, and determine whether to perform secondary optimization of the absorbing structure to be designed according to the result of the performance verification.

[0056] like Figure 2 As shown, the workflow of this embodiment is as follows:

[0057] S1: Determine the cross-sectional structure of the absorbing structure to be designed, clarify the number of dielectric layers and the cell structure of the lattice core layer, and set the material properties: set the complex dielectric constant of the corresponding material of each dielectric layer such as the lattice core layer and complex permeability

[0058] Among them, ε r is the relative dielectric constant, tgδ ε is the dielectric loss tangent value, μ r is the relative magnetic permeability, tgδ μ is the magnetic loss tangent.

[0059] S2: Set the upper frequency limit f of the absorbing frequency band H and the lower frequency limit f L , the M operating frequencies of interest within the frequency range f k (k=1,2,…,M) and the target absorption rate Ab of the frequency point of interest in the frequency band target (f k ).

[0060] S3: Establish an equivalent electromagnetic parameter model of the lattice interlayer, that is, use a fully connected neural network to construct a mapping model between the lattice cell structure parameters and the equivalent electromagnetic parameters.

[0061] An equivalent electromagnetic parameter model of the lattice interlayer is established. The characteristic of this model is that the fully connected neural network is used to describe the correlation mapping relationship between the structural parameters of the lattice interlayer and the equivalent electromagnetic parameters. Furthermore, the establishment of the model requires that the complex dielectric constant and complex magnetic permeability of the lattice interlayer be determined in step S1, and the scattering parameters (S parameters) of the lattice interlayer be calculated using a full-wave analysis algorithm (finite difference time domain algorithm, finite element method, etc.), and the equivalent dielectric constant and equivalent magnetic permeability are calculated using an equivalent electromagnetic parameter inversion algorithm. The specific formula is as follows:

[0062]

[0063] μ eff =nz

[0064] In the formula, S 11 , S 21 are S parameters, representing the reflection coefficient and transmission coefficient of the lattice structure, k0 is the free space wave impedance, d is the lattice interlayer thickness, z is the structural equivalent impedance, n is the equivalent refractive index, ε eff is the equivalent complex dielectric constant, μ eff is the equivalent complex magnetic permeability.

[0065] S4: Use swarm intelligence algorithm to optimize the structure design. The design variables are the structural parameters of the lattice interlayer and the geometric thickness of the dielectric layer. The wave absorption rate of the structure is calculated using the equivalent transmission line theory.

[0066] The particle swarm and other group intelligence algorithms are used for structural optimization design, and the wave absorption rate of the structure is calculated using the equivalent transmission line theory. The upper frequency limit f determined by S2 H and the lower frequency limit f L Select M working frequencies f of interest k (k=1,2…,M), each frequency point f k The absorption rate at can be calculated according to the following formula:

[0067] Ab com =1-|S 21 | 2 -|S 11 | 2

[0068] In the formula,

[0069] Where A, B, C, and D are the elements of the transfer matrix of the absorbing structure, and Z0 is the free space wave impedance.

[0070] For an absorbing structure comprising N layers of dielectric (including a lattice core layer and a metal backplane), its transfer transmission matrix T is the cascade of the transfer transmission matrices of each dielectric layer, as follows:

[0071]

[0072] In the formula,

[0073]

[0074] In the formula, are the complex permittivity and complex permeability of the i-th dielectric layer, Z i is the impedance of the i-th dielectric layer, θ0 is the incident angle, and c is the speed of light in free space.

[0075] For the transfer transmission matrix of the absorbing structure, the above formula cannot be used to calculate the transfer transmission matrix of the metal backplane. It is necessary to use the following formula and substitute it into the calculation formula of the transfer transmission matrix T of the absorbing structure containing N layers of medium (including lattice core layer and metal backplane).

[0076]

[0077] In the formula, R Ω is the surface resistance of the metal backplane.

[0078] In the swarm intelligence algorithm, the fitness function for evaluating the performance of the structure is:

[0079]

[0080] In the formula, Ab target (f k ) is the kth frequency point f set in S2 k The target absorption rate at Ab com (f k ) is the kth frequency point f k Calculated value of the absorbance at .

[0081] S5: Use full-wave analysis algorithms such as the finite-difference time-domain method to check performance. If the performance does not meet the standard, perform secondary optimization of structural parameters until the performance meets the standard and the structural design is completed.

[0082] Using the structural parameters determined by S4, a structural model of the magnetic material absorbing structure with a lattice core layer is established, and the absorption rate Ab of the structure is calculated again using full-wave analysis methods such as the time-domain finite difference algorithm. FW (f k ). The absorption rate Ab calculated by the full wave FW (f k ) and target absorption rate Ab target (f k ) to verify whether the performance meets the standard. If the performance meets the standard, the design is completed; if not, the geometric thickness of the dielectric layer determined in S4 is optimized again until the performance meets the standard.

[0083] As an optional implementation, a typical application example of this embodiment is as follows:

[0084] S1: Set the structural diagram of the absorbing structure to be optimized as shown in Figure 3 shown.

[0085] The structure consists of 5 dielectric layers (numbered 1, 2, 3, 4, 5 from top to bottom) and 1 lattice core layer (located between dielectric layer 1 and dielectric layer 2). The cell structure of the lattice core layer is a second-order fractal pyramid structure. Set the material parameters of the dielectric layer and the lattice core layer as follows:

[0086] Dielectric layer 1:

[0087] Dielectric layer 2:

[0088] Dielectric layer 3:

[0089] Dielectric layer 4:

[0090] Dielectric layer 5:

[0091] like Figure 4 As shown, the material properties of the lattice structure are consistent with those of dielectric layer 1 and dielectric layer 2.

[0092] S2: upper frequency limit f H =12GHz and the lower frequency limit f L =3GHz, 10 operating frequencies of interest within the frequency range: 3GHz, 4GHz, 5GHz, 6GHz, 7GHz, 8GHz, 9GHz, 10GHz, 11GHz, 12GHz and target absorption rate Ab of the frequencies of interest within the frequency band target >90%.

[0093] S3: Use the time-domain finite difference algorithm to calculate the S parameters of the second-order fractal pyramid structure and determine the corresponding equivalent electromagnetic parameters. Use the fully connected network to construct a mapping model between the structural parameters of the second-order fractal pyramid structure and the equivalent electromagnetic parameters.

[0094] S4: Using the particle swarm algorithm, the Ab set in S2 target As the goal, the geometric thickness of each dielectric layer of the absorbing structure in S1 and the structural parameters of the second-order fractal pyramid lattice are optimized, and the absorption rate Ab under the corresponding structural parameters is calculated using the transmission line theory. com (f k ), where the equivalent electromagnetic parameters (complex permittivity and complex permeability) of the lattice core layer are determined by the model established by S3.

[0095] The optimized structural parameters are as follows:

[0096] Dielectric layer 1: Geometric thickness 1mm

[0097] Dielectric layer 2: Geometric thickness 0.5 mm

[0098] Dielectric layer 3: Geometric thickness 1mm

[0099] Dielectric layer 4: Geometric thickness 0.5 mm

[0100] Dielectric layer 5: Geometric thickness 1.5 mm

[0101] The lattice sandwich is a second-order fractal lattice structure, and the optimization parameters of a single support rod are as follows: Figure 5 Shown

[0102] S5: Use the structural parameters determined in S4 to establish the analysis model of the time-domain finite difference method, calculate the wave absorption rate of the model, and check whether the wave absorption performance meets the design target (wave absorption rate>90%). Since the full-wave analysis results do not meet the design target, the geometric thickness of each dielectric layer is optimized twice, and the optimized structural parameters are as follows:

[0103] Dielectric layer 1: Geometric thickness 1.2 mm

[0104] Dielectric layer 2: Geometric thickness 0.34mm

[0105] Dielectric layer 3: Geometric thickness 1.22mm

[0106] Dielectric layer 4: Geometric thickness 0.5 mm

[0107] Dielectric layer 5: Geometric thickness 1.6 mm

[0108] The full wave analysis results of the absorption rate before and after the secondary optimization are as follows: Figure 6 shown.

[0109] Corresponding to the above method, such as Figure 7 As shown, this embodiment also provides a magnetic material absorbing structure design system containing a lattice core layer, including:

[0110] A data initialization unit is used to determine the number of dielectric layers of the absorbing structure to be designed, the lattice cell structure parameters of the lattice core layer and the geometric thickness of each dielectric layer, and to set the material properties of each dielectric layer;

[0111] The frequency point determination unit is used to set the upper and lower frequency limits of the absorbing frequency band, list the working frequency points of the frequency band between the upper and lower frequency limits, and set the target absorption rate at each working frequency point;

[0112] A mapping construction unit, used to establish a mapping relationship between the lattice cell structure parameters and the material properties to obtain an equivalent electromagnetic parameter model;

[0113] A parameter optimization unit, configured to optimize the absorbing structure to be designed based on the equivalent electromagnetic parameter model, the target absorption rate, the geometric thickness and the lattice cell structure parameters to obtain optimized structural parameters;

[0114] The performance verification unit is used to perform performance verification according to the optimized structural parameters and the target absorption rate, and determine whether to perform secondary optimization of the absorbing structure to be designed according to the result of the performance verification.

[0115] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0116] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and 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 methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A method for designing a magnetic material absorbing structure containing a lattice core layer, characterized in that: include: Determine the number of dielectric layers of the absorbing structure to be designed, the lattice cell structure parameters of the lattice core layer and the geometric thickness of each dielectric layer, and set the material properties of each dielectric layer; Set the upper and lower frequency limits of the absorbing frequency band, list the operating frequency points of the frequency band between the upper and lower frequency limits, and set the target absorption rate at each operating frequency point; Establishing a mapping relationship between the lattice cell structure parameters and the material properties to obtain an equivalent electromagnetic parameter model; Based on a swarm intelligence algorithm, the absorbing structure to be designed is optimized according to the equivalent electromagnetic parameter model, the target absorption rate, the geometric thickness and the lattice cell structure parameters to obtain optimized structural parameters; A performance check is performed based on the optimized structural parameters and the target absorption rate, and it is determined whether to perform secondary optimization of the absorbing structure to be designed based on the result of the performance check.

2. The method for designing a magnetic material absorbing structure containing a lattice core layer according to claim 1, characterized in that: The material properties include complex permittivity and complex magnetic permeability.

3. The method for designing a magnetic material absorbing structure containing a lattice core layer according to claim 1, characterized in that: Establishing a mapping relationship between the lattice cell structure parameters and the material properties to obtain an equivalent electromagnetic parameter model includes: The reflection coefficient and transmission coefficient of the lattice interlayer are determined using the full wave analysis algorithm; Based on the reflection coefficient and the transmission coefficient, an equivalent dielectric constant and an equivalent magnetic permeability are calculated using an equivalent electromagnetic parameter inversion algorithm, and the expressions of the equivalent dielectric constant and the equivalent magnetic permeability are determined as the equivalent electromagnetic parameter model; the calculation formula of the equivalent dielectric constant is: The calculation formula of the equivalent magnetic permeability is: eff =nz; where ε eff is the equivalent complex dielectric constant, μ eff is the equivalent complex magnetic permeability, z is the structural equivalent impedance, S 11 and S 21 Respectively represent the reflection coefficient and the transmission coefficient, n is the equivalent refractive index, and n is given by the formula Calculation shows that k0 is the free space wave impedance, and d is the thickness of the lattice interlayer; Based on the equivalent dielectric constant and the equivalent magnetic permeability, a mapping model between structural parameters of a second-order fractal pyramid structure and equivalent electromagnetic parameters is constructed according to a fully connected neural network to obtain the equivalent electromagnetic parameter model.

4. The method for designing a magnetic material absorbing structure containing a lattice core layer according to claim 3, characterized in that: The full-wave analysis algorithm is any one of a finite-difference time-domain algorithm and a finite element method.

5. The method for designing a magnetic material absorbing structure containing a lattice core layer according to claim 1, characterized in that: Based on the swarm intelligence algorithm, the absorbing structure to be designed is optimized according to the equivalent electromagnetic parameter model, the target absorption rate, the geometric thickness and the lattice cell structure parameters to obtain optimized structural parameters, including: Determine the geometric thickness and the lattice cell structure parameters as a variable set; Determining the target absorbency as an optimization target; Calculating according to the variable set and the equivalent electromagnetic parameter model to obtain a calculated wave absorption rate; The objective function is determined according to the calculated absorbance and the target absorbance; the expression of the objective function is: Among them, Ab target (f k ) is the kth operating frequency point f k The target absorption rate at Ab com (f k ) is the kth operating frequency point f k The calculated value of the wave absorption rate at, M is the number of the operating frequency points; The swarm intelligence algorithm is used to optimize the optimization objective function to obtain optimized structural parameters.

6. The method for designing a magnetic material absorbing structure containing a lattice core layer according to claim 1, characterized in that: The swarm intelligence algorithm is a particle swarm optimization algorithm.

7. The method for designing a magnetic material absorbing structure containing a lattice core layer according to claim 1, characterized in that: Performing a performance check according to the optimized structural parameters and the target absorption rate, and determining whether to perform a secondary optimization of the absorbing structure to be designed according to the result of the performance check, including: Using the optimized structural parameters to establish an analysis model of the finite difference time domain method; Calculating the wave absorption rate of the analysis model, and verifying whether the wave absorption performance meets the design target according to the wave absorption rate of the analysis model and the target wave absorption rate, to obtain a verification result; If the verification result is negative, the geometric thickness of each dielectric layer is optimized a second time.

8. A magnetic material absorbing structure design system containing a lattice core layer, characterized in that: include: A data initialization unit is used to determine the number of dielectric layers of the absorbing structure to be designed, the lattice cell structure parameters of the lattice core layer and the geometric thickness of each dielectric layer, and to set the material properties of each dielectric layer; The frequency point determination unit is used to set the upper and lower frequency limits of the absorbing frequency band, list the working frequency points of the frequency band between the upper and lower frequency limits, and set the target absorption rate at each working frequency point; A mapping construction unit, used to establish a mapping relationship between the lattice cell structure parameters and the material properties to obtain an equivalent electromagnetic parameter model; A parameter optimization unit, configured to optimize the absorbing structure to be designed based on the equivalent electromagnetic parameter model, the target absorption rate, the geometric thickness and the lattice cell structure parameters to obtain optimized structural parameters; The performance verification unit is used to perform performance verification according to the optimized structural parameters and the target absorption rate, and determine whether to perform secondary optimization of the absorbing structure to be designed according to the result of the performance verification.

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