Optimization method and system for sound absorption structure of complex micro-perforated plate, medium and product

Abstract

The invention provides an optimization method and system for a sound absorption structure of a complex micro-perforated plate, a medium and a product, an objective function model of the sound absorption structure of the complex micro-perforated plate is constructed on the basis of a micro-perforated sound absorption structure theory and an acoustic-electric analogy model, and the sound absorption structure of the complex micro-perforated plate is optimized on the basis of a grey wolf algorithm and preset constraint conditions. According to the method, the target function model of the sound absorption structure of the complex micro-perforated plate is obtained, parameters of the sound absorption structure of the complex micro-perforated plate are optimized according to the target function model of the sound absorption structure of the complex micro-perforated plate so as to output an optimal micro-perforated plate structure parameter set, a grey wolf algorithm is introduced to achieve multi-parameter intelligent optimization, and an optimal structure parameter combination can be automatically searched under preset constraint conditions. Compared with a traditional trial-and-error method or single target optimization, the structural parameter optimization efficiency is improved, and the optimization period is shortened.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of micro-perforated panel sound absorption structure parameter design, and particularly relates to a complex micro-perforated panel sound absorption structure optimization method and system, medium and product. BACKGROUND

[0002] The ship engine can produce significant noise pollution while providing power for the ship, mainly including mechanical noise, combustion noise and aerodynamic noise. Among them, the aerodynamic noise is mainly caused by the intake of the supercharger, the surge howl and the high-speed airflow of the intake and exhaust pipeline, and the sound source characteristics are mainly dipole, and the frequency distribution is mainly low-frequency wide-band noise. However, the traditional sound absorption material (such as porous sound absorption material) has good high-frequency noise absorption effect, but the attenuation ability of the low-frequency noise is limited, which is difficult to meet the needs of ship engine noise reduction.

[0003] The micro-perforated panel (MPP) sound absorption structure has been widely concerned in the field of noise control due to its good low-frequency sound absorption performance. The simple micro-perforated panel structure can achieve good sound absorption effect in a specific low-frequency band by adjusting the aperture, perforation rate, plate thickness and other parameters, but its sound absorption frequency band is relatively narrow, and the low-frequency optimization often requires a large back cavity thickness, which limits the practical engineering application. In order to broaden the sound absorption frequency band and enhance the low-frequency sound absorption ability, complex micro-perforated panel structures (such as multi-layer MPP, composite resonant cavity, etc.) are proposed, but the design involves multiple parameters (such as different layers of perforation rate, aperture, plate spacing, cavity depth, etc.), making the optimization calculation extremely complex and time-consuming. It is difficult to efficiently obtain the optimal parameter combination by traditional experience design or trial-and-error method.

[0004] Therefore, there is an urgent need for an efficient and stable optimization method that can realize the broadband sound absorption performance optimization of complex micro-perforated panel structures under the constraint of limited back cavity thickness, especially to improve the suppression effect of low-frequency aerodynamic noise of ship engines. SUMMARY

[0005] In view of the above-mentioned shortcomings of the prior art, the purpose of the present application is to provide a complex micro-perforated panel sound absorption structure optimization method, system, medium and product, which can solve the problems of long time consumption and low optimization efficiency in the prior art of micro-perforated panel structure parameter optimization.

[0006] To achieve the above object and other related objects, the first aspect of the present application provides an optimization method of a complex micro-perforated panel sound absorption structure, comprising: deriving an overall acoustic resistance calculation model of the complex micro-perforated panel sound absorption structure and an overall acoustic reactance calculation model of the complex micro-perforated panel sound absorption structure based on a micro-perforated sound absorption structure theory and an acoustic-electric analogy model; deriving a sound absorption coefficient calculation model of the complex micro-perforated panel sound absorption structure according to the overall acoustic resistance calculation model of the complex micro-perforated panel sound absorption structure and the overall acoustic reactance calculation model of the complex micro-perforated panel sound absorption structure; constructing a target function model of the complex micro-perforated panel sound absorption structure according to the sound absorption coefficient calculation model of the complex micro-perforated panel sound absorption structure; and optimizing parameters of the complex micro-perforated panel sound absorption structure based on a grey wolf algorithm and a preset constraint condition and according to the target function model of the complex micro-perforated panel sound absorption structure, to output an optimal micro-perforated panel structure parameter set.

[0007] In some embodiments of the first aspect of the present application, the calculation formula of the target function model of the complex micro-perforated panel sound absorption structure comprises:

[0008]

[0009] wherein, represents an average sound absorption coefficient of the complex micro-perforated panel sound absorption structure; α(f I ) represents a sound absorption coefficient of the complex micro-perforated panel sound absorption structure at a frequency f I ; n represents a number of discrete frequency points; I represents a serial number of a discrete frequency point selected in a target frequency band; f I represents a frequency of a discrete frequency point.

[0010] In some embodiments of the first aspect of the present application, the manner of outputting the optimal micro-perforated panel structure parameter set based on the grey wolf algorithm and the preset constraint condition and according to the objective function model of the complex micro-perforated panel sound absorption structure includes: generating a plurality of groups of original micro-perforated panel structure parameter sets randomly based on the preset initial parameters of the complex micro-perforated panel sound absorption structure, the preset constraint condition, and the number of combinations of the micro-perforated panel and based on the grey wolf algorithm and the preset constraint condition; calculating the average sound absorption coefficients corresponding to each group of the original micro-perforated panel structure parameter sets based on each group of the original micro-perforated panel structure parameter sets and based on the objective function model of the complex micro-perforated panel sound absorption structure; sorting the average sound absorption coefficients corresponding to each group of the original micro-perforated panel structure parameter sets to filter out a first-level structure parameter set, a second-level structure parameter set, a third-level structure parameter set, and a fourth-level structure parameter set; and performing multiple rounds of iterative updates on the first-level structure parameter set, the second-level structure parameter set, the third-level structure parameter set, and the fourth-level structure parameter set based on the displacement updating mechanism in the grey wolf algorithm and a preset maximum number of iterations to output the optimal micro-perforated panel structure parameter set.

[0011] In some embodiments of the first aspect of the present application, the manner of outputting the optimal micro-perforated panel structure parameter set based on the displacement updating mechanism in the grey wolf algorithm and the preset maximum number of iterations includes: updating the fourth-level structure parameter set based on the displacement updating mechanism in the grey wolf algorithm and according to the first-level structure parameter set, the second-level structure parameter set, and the third-level structure parameter set; recalculating the average sound absorption coefficients corresponding to the first-level structure parameter set, the second-level structure parameter set, the third-level structure parameter set, and the updated fourth-level structure parameter set based on the objective function model of the complex micro-perforated panel sound absorption structure to filter out a new first-level structure parameter set, a new second-level structure parameter set, a new third-level structure parameter set, and a new fourth-level structure parameter set; and repeating the above updating, calculating, and filtering processes until the preset maximum number of iterations is met to output the final first-level structure parameter set as the optimal micro-perforated panel structure parameter set.

[0012] In some embodiments of the first aspect of the present application, each group of the original micro-perforated panel structure parameter set includes a combination of one or more of a micro-hole aperture, a perforation rate, a panel thickness, a back cavity depth, and an area ratio.

[0013] In some embodiments of the first aspect of the present application, the formula of the sound absorption coefficient calculation model of the complex micro-perforated panel sound absorption structure comprises:

[0014]

[0015] wherein, α A represents the sound absorption coefficient of the complex micro-perforated panel sound absorption structure; r A represents the overall acoustic resistance of the complex micro-perforated panel sound absorption structure; x A represents the overall acoustic reactance of the complex micro-perforated panel sound absorption structure.

[0016] In some embodiments of the first aspect of the present application, the way of deriving the overall acoustic resistance calculation model of the complex micro-perforated panel sound absorption structure and the overall acoustic reactance calculation model of the complex micro-perforated panel sound absorption structure based on the micro-perforated sound absorption structure theory and the acoustic-electric analogy model comprises: obtaining the relative acoustic resistance calculation model of a single micro-perforated panel, the self relative acoustic reactance calculation model of a single micro-perforated panel, and the back cavity relative acoustic capacity calculation model of a single micro-perforated panel based on the micro-perforated sound absorption structure theory; obtaining the total relative acoustic reactance calculation model of a single micro-perforated panel according to the self relative acoustic reactance calculation model of a single micro-perforated panel and the back cavity relative acoustic capacity calculation model of a single micro-perforated panel; obtaining the equivalent circuit diagram of the complex micro-perforated panel sound absorption structure based on the acoustic-electric analogy model and in combination with the series-parallel coupling mechanism of the micro-perforated panel; and deriving the overall acoustic resistance calculation model of the complex micro-perforated panel sound absorption structure and the overall acoustic reactance calculation model of the complex micro-perforated panel sound absorption structure according to the relative acoustic resistance calculation model of a single micro-perforated panel, the back cavity relative acoustic capacity calculation model of a single micro-perforated panel, and the total relative acoustic reactance calculation model of a single micro-perforated panel and based on the equivalent circuit diagram of the complex micro-perforated panel sound absorption structure.

[0017] To achieve the above object and other related objects, the second aspect of the present application provides an optimization system for a complex micro-perforated panel sound absorption structure, comprising: a sound resistance and sound reactance derivation module, configured to derive an overall sound resistance calculation model of the complex micro-perforated panel sound absorption structure and an overall sound reactance calculation model of the complex micro-perforated panel sound absorption structure based on a micro-perforated sound absorption structure theory and an acoustic-electric analogy model; a sound absorption coefficient derivation module, configured to derive a sound absorption coefficient calculation model of the complex micro-perforated panel sound absorption structure according to the overall sound resistance calculation model of the complex micro-perforated panel sound absorption structure and the overall sound reactance calculation model of the complex micro-perforated panel sound absorption structure; a target function construction module, configured to construct a target function model of the complex micro-perforated panel sound absorption structure according to the sound absorption coefficient calculation model of the complex micro-perforated panel sound absorption structure; and a parameter optimization module, configured to optimize parameters of the complex micro-perforated panel sound absorption structure based on a grey wolf algorithm and a preset constraint condition and according to the target function model of the complex micro-perforated panel sound absorption structure, so as to output an optimal micro-perforated panel structure parameter set.

[0018] To achieve the above object and other related objects, the third aspect of the present application provides a computer readable storage medium having a computer program stored thereon, the computer program being executed by a processor to implement the optimization method for the complex micro-perforated panel sound absorption structure as described above.

[0019] To achieve the above object and other related objects, the fourth aspect of the present application provides a computer program product, the computer program product comprising computer program code which, when executed on a computer, causes the computer to implement the optimization method for the complex micro-perforated panel sound absorption structure as described above.

[0020] As described above, the optimization method, system, medium and product for the complex micro-perforated panel sound absorption structure have the following beneficial effects:

[0021] (1) Based on the micro-perforated sound absorption structure theory and the acoustic-electric analogy model, the target function model of the complex micro-perforated panel sound absorption structure is constructed, and the grey wolf algorithm is introduced to realize intelligent optimization of multiple parameters, so that the optimal structure parameter combination can be automatically searched under the preset constraint condition. Compared with the traditional trial-and-error method or single-objective optimization, the optimization efficiency of the structure parameters is improved.

[0022] (2) According to the target function model of the complex micro-perforated panel sound absorption structure, the parameters of the complex micro-perforated panel sound absorption structure are optimized through the grey wolf algorithm, so that the parameters such as the layered perforation aperture, the perforation rate, the plate thickness, the depth of the back cavity, the area ratio, etc. are automatically matched, the sound absorption performance in the middle and low frequency bands is improved under the condition of limited back cavity, the effective frequency band is widened, the optimization period is shortened, and the manual trial-and-error is avoided. BRIEF DESCRIPTION OF DRAWINGS

[0023] Figure 1A structural schematic diagram of a complex micro-perforated panel sound absorption structure in an embodiment of the present application is shown.

[0024] Figure 2 A sectional schematic diagram of a complex micro-perforated panel sound absorption structure in an embodiment of the present application is shown.

[0025] Figure 3 A flowchart of an optimization method of a complex micro-perforated panel sound absorption structure in an embodiment of the present application is shown.

[0026] Figure 4 A flowchart of derivation of an overall acoustic resistance and reactance calculation model in an embodiment of the present application is shown.

[0027] Figure 5 An equivalent circuit schematic diagram of a complex micro-perforated panel sound absorption structure in an embodiment of the present application is shown.

[0028] Figure 6 A flowchart of parameter optimization of a complex micro-perforated panel sound absorption structure in an embodiment of the present application is shown.

[0029] Figure 7 A schematic block diagram of an optimization system of a complex micro-perforated panel sound absorption structure in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0030] The present application will be described in detail below with specific reference being made to certain specific examples. The advantages and effects of the present application can be easily understood by those skilled in the art from the disclosure of the present specification. The present application can also be implemented or applied in other different specific embodiments, and the details in the present specification can be modified or changed based on different viewpoints and applications without departing from the spirit of the present application. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0031] Before the present application is further described, the terms and terminology used in the embodiments of the present application are explained, and the terms and terminology used in the embodiments of the present application are applicable to the following explanations:

[0032] <1> MPP (Micro-Perforated Panel): a micro-perforated panel is a sound absorption structure with micro holes, and its core principle is to form a resonance system through the micro holes on the panel and the cavity behind the panel to convert sound energy into heat energy, thereby achieving high-efficiency sound absorption.

[0033] <2> MPA (Micro-Perforated Absorber): A micro-perforated absorber is a complete sound-absorbing structure formed by combining a micro-perforated plate (MPP) and a back cavity. In a micro-perforated absorber, the back cavity must be located on the back side of the micro-perforated plate (MPP) (i.e., the non-sound wave incident side) to form a resonant cavity together with the rigid wall.

[0034] Micro-perforated panel (MPP) sound-absorbing structures have attracted widespread attention in the field of noise control due to their excellent low-frequency sound absorption performance. Simple micro-perforated panel structures can achieve good sound absorption effects in specific low-frequency bands by adjusting parameters such as aperture, perforation rate, and plate thickness. However, their sound absorption frequency band is narrow, and low-frequency optimization often requires a larger back cavity thickness, which limits their practical engineering applications. In order to broaden the sound absorption frequency band and enhance low-frequency sound absorption capabilities, complex micro-perforated panel structures (such as multi-layer MPP, composite resonant cavities, etc.) have been proposed. However, their design involves multiple parameters (such as perforation rate, aperture, plate spacing, cavity depth, etc. of different layers), making the optimization calculation extremely complex and time-consuming. Traditional empirical design or trial-and-error methods are difficult to efficiently obtain the optimal parameter combination.

[0035] In order to solve the technical problems existing in the above-mentioned background technology, the present application provides an optimization method, system, medium and product for a complex micro-perforated plate sound absorption structure, aiming to solve the problems of long time consumption and low optimization efficiency in the prior art for optimizing the micro-perforated plate structural parameters.

[0036] like Figure 1 As shown in FIG, a schematic diagram of the structure of the complex micro-perforated plate sound absorption structure in an embodiment of the present invention is shown. Figure 2 FIG2 shows a cross-sectional view of a complex micro-perforated plate sound absorbing structure according to an embodiment of the present invention. The complex micro-perforated plate sound absorbing structure comprises a plurality of micro-perforated sound absorbers (MPAs), each of which comprises one or more micro-perforated plates (MPPs).

[0037] To facilitate understanding of the embodiments of this application, a complex microperforated plate sound absorption structure comprising three microperforated sound absorbers, MPA0, MPA1, and MPA2, is used as an example. Microperforated sound absorber MPA0 is a single layer, comprising a microperforated plate MPP0. The plate has an area of ​​A0, a width of x0, a perforation diameter of a0, a spacing between holes of b0, a thickness of t0, and a back cavity depth of D0. The microperforated sound absorber MPA1 is double-layered, including two microperforated plates MPP1 and MPP3. The microperforated plates MPP1 and MPP3 have the same area and width. The area of ​​the microperforated plate MPP1 is A1, the width is x1, the perforation diameter is a1, the hole spacing is b1, the plate thickness is t1, and the back cavity depth of the plate is D1; ​​the area of ​​the microperforated plate MPP3 is A1, the width is x1, the perforation diameter is a3, the hole spacing is b3, the plate thickness is t3, and the back cavity depth of the plate is D3. The micro-perforated sound absorber MPA2 is also double-layered, including two micro-perforated plates MPP2 and MPP4. The micro-perforated plates MPP2 and MPP4 have the same area and width. The micro-perforated plate MPP2 has an area of ​​A2, a width of x2, a perforated aperture of a2, a hole spacing of b2, a plate thickness of t2, and a back cavity depth of D2. The micro-perforated plate MPP4 has an area of ​​A2, a width of x2, a perforated aperture of a4, a hole spacing of b4, a plate thickness of t4, and a back cavity depth of D4. Figures 1-2 The optimization method of complex micro-perforated plate sound absorption structure is explained.

[0038] To facilitate understanding of the embodiments of this application, first Figures 1-3 Detailed description. Figure 3 The following is a flow chart showing a method for optimizing a complex micro-perforated plate sound absorption structure according to an embodiment of the present invention. The method for optimizing a complex micro-perforated plate sound absorption structure according to this embodiment mainly includes the following steps:

[0039] S301: Based on the theory of micro-perforated sound absorption structure and the acoustic-electrical analogy model, the overall acoustic resistance calculation model of the complex micro-perforated plate sound absorption structure and the overall acoustic reactance calculation model of the complex micro-perforated plate sound absorption structure are derived.

[0040] In this embodiment, if Figure 4 FIG. 1 shows a flow chart of deriving an overall acoustic impedance and reactance calculation model for an embodiment of the present invention. The method for deriving an overall acoustic impedance and reactance calculation model for a complex microperforated plate sound absorption structure based on microperforated sound absorption structure theory and an acoustic-electrical analogy model includes:

[0041] S3011: Based on the theory of micro-perforated sound absorption structure, the relative acoustic resistance calculation model of a single micro-perforated plate, the relative acoustic reactance calculation model of a single micro-perforated plate, and the relative acoustic capacity calculation model of the back cavity of a single micro-perforated plate are obtained.

[0042] In this embodiment, according to Ma Dayou's micro-perforated sound absorption structure theory, the calculation formula of the relative acoustic resistance calculation model of a single micro-perforated plate includes:

[0043]

[0044] Among them, r i represents the relative acoustic resistance of a single micro-perforated plate; μ represents the kinematic viscosity of air; t i represents the thickness of a single micro-perforated plate (mm); p represents the perforation rate; c represents the speed of sound; a i Represents the perforation diameter of a single micro-perforated plate; y i Represents the perforation constant of a single micro-perforated plate.

[0045] In this embodiment, the calculation formula for the perforation constant of a single micro-perforated plate includes:

[0046]

[0047] Among them, y i represents the perforation constant of a single micro-perforated plate; ω represents the angular frequency; μ represents the kinematic viscosity of air; a i Indicates the perforation diameter of a single micro-perforated plate.

[0048] In this embodiment, the calculation formula of the relative acoustic reactance calculation model of a single micro-perforated plate includes:

[0049]

[0050] Among them, m i Represents the relative acoustic reactance of a single microperforated plate; t i represents the thickness of a single micro-perforated plate (mm); p represents the perforation rate; c represents the speed of sound; y i represents the perforation constant of a single micro-perforated plate; a i Indicates the perforation diameter of a single micro-perforated plate.

[0051] In this embodiment, the calculation formula of the back cavity relative acoustic capacity calculation model of a single micro-perforated plate includes:

[0052]

[0053] Among them, Z i represents the relative acoustic capacity of the back cavity of a single micro-perforated plate; ω represents the angular frequency; D i represents the back cavity depth of a single micro-perforated plate (mm); c represents the sound velocity.

[0054] In this embodiment, the relative acoustic resistance, the self relative acoustic reactance and the back cavity relative acoustic capacitance of each micro-perforated panel can be calculated according to the formula (one) - formula (four). For example, the relative acoustic resistance, the self relative acoustic reactance and the back cavity relative acoustic capacitance of the micro-perforated panel MPP0, the micro-perforated panel MPP1, the micro-perforated panel MPP2, the micro-perforated panel MPP3 and the micro-perforated panel MPP4 can be calculated according to the formula (one) - formula (four) with i taking 0, 1, 2, 3 and 4. Figures 1-2 In this embodiment, the relative acoustic resistance, the self relative acoustic reactance and the back cavity relative acoustic capacitance of each micro-perforated panel can be calculated according to the formula (one) - formula (four). For example, the relative acoustic resistance, the self relative acoustic reactance and the back cavity relative acoustic capacitance of the micro-perforated panel MPP0, the micro-perforated panel MPP1, the micro-perforated panel MPP2, the micro-perforated panel MPP3 and the micro-perforated panel MPP4 can be calculated according to the formula (one) - formula (four) with i taking 0, 1, 2, 3 and 4.

[0055] S3012: obtaining the total relative acoustic reactance calculation model of the single micro-perforated panel according to the self relative acoustic reactance calculation model of the single micro-perforated panel and the back cavity relative acoustic capacitance calculation model of the single micro-perforated panel.

[0056] In this embodiment, the calculation formula of the total relative acoustic reactance calculation model of the single micro-perforated panel comprises:

[0057]

[0058] wherein, X i represents the total relative acoustic reactance of the single micro-perforated panel; ω represents the angular frequency; m i represents the self relative acoustic reactance of the single micro-perforated panel; D i represents the back cavity depth of the single micro-perforated panel (mm); c represents the sound speed.

[0059] In this embodiment, the total relative acoustic reactance of each micro-perforated panel, for example, the total relative acoustic reactance of the micro-perforated panel MPP0, the micro-perforated panel MPP1, the micro-perforated panel MPP2, the micro-perforated panel MPP3 and the micro-perforated panel MPP4 can be calculated according to the formula (five).

[0060] S3013: obtaining the equivalent circuit diagram of the complex micro-perforated panel sound absorption structure based on the acoustoelectric analogy model and in combination with the series-parallel coupling mechanism of the micro-perforated panel.

[0061] In this embodiment, as shown in Figure 5As shown, the equivalent circuit diagram of the complex micro-perforated panel sound absorption structure in the embodiment of the present application is shown. Wherein, P is the sound pressure of the vertically incident sound wave, pc is the specific acoustic resistance of air, p represents the air density, c represents the sound speed. R0 is the acoustic resistance of the micro-perforated panel MPP0, M0 is the acoustic reactance of the micro-perforated panel MPP0, Z0 is the relative acoustic capacitance of the back cavity of the micro-perforated panel MPP0. R1 is the acoustic resistance of the micro-perforated panel MPP1, M1 is the acoustic reactance of the micro-perforated panel MPP1, Z1 is the relative acoustic capacitance of the back cavity of the micro-perforated panel MPP1. R2 is the acoustic resistance of the micro-perforated panel MPP2, M2 is the acoustic reactance of the micro-perforated panel MPP2, Z2 is the relative acoustic capacitance of the back cavity of the micro-perforated panel MPP2. R3 is the acoustic resistance of the micro-perforated panel MPP3, M3 is the acoustic reactance of the micro-perforated panel MPP3, Z3 is the relative acoustic capacitance of the back cavity of the micro-perforated panel MPP3. R4 is the acoustic resistance of the micro-perforated panel MPP4, M4 is the acoustic reactance of the micro-perforated panel MPP4, Z4 is the relative acoustic capacitance of the back cavity of the micro-perforated panel MPP4.

[0062] S3014: According to the relative acoustic resistance calculation model of the single micro-perforated panel, the back cavity relative acoustic capacitance calculation model of the single micro-perforated panel, and the total relative acoustic reactance calculation model of the single micro-perforated panel, and based on the equivalent circuit diagram of the complex micro-perforated panel sound absorption structure, the overall acoustic resistance calculation model of the complex micro-perforated panel sound absorption structure and the overall acoustic reactance calculation model of the complex micro-perforated panel sound absorption structure are derived.

[0063] In this embodiment, the way to derive the overall acoustic resistance calculation model of the complex micro-perforated panel sound absorption structure and the overall acoustic reactance calculation model of the complex micro-perforated panel sound absorption structure includes:

[0064] (1) According to the relative acoustic resistance calculation model of the single micro-perforated panel, the back cavity relative acoustic capacitance calculation model of the single micro-perforated panel, and the total relative acoustic reactance calculation model of the single micro-perforated panel, the equivalent relative acoustic resistance calculation model of each micro-perforated sound absorption body and the equivalent relative acoustic reactance calculation model of each micro-perforated sound absorption body are obtained.

[0065] In this embodiment, according to formulas (1)-(5), the relative acoustic resistance r0, the back cavity relative acoustic capacitance Z0, and the total relative acoustic reactance X0 of the micro-perforated panel MPP0 are calculated, and then the equivalent relative acoustic resistance of the micro-perforated sound absorption body MPA0 is r0, and the equivalent relative acoustic reactance is X0.

[0066] In this embodiment, according to formulas (1)-(5), the relative acoustic resistance r1, the back cavity relative acoustic capacitance Z1, and the total relative acoustic reactance X1 of the micro-perforated panel MPP1, the relative acoustic resistance r3, the back cavity relative acoustic capacitance Z3, and the total relative acoustic reactance X3 of the micro-perforated panel MPP3 are calculated, and then the calculation formula of the equivalent relative acoustic resistance calculation model of the micro-perforated sound absorption body MPA1 is:

[0067]

[0068] wherein, r s represents the equivalent relative acoustic resistance of the micro-perforated absorber MPA1; r1 represents the relative acoustic resistance of the micro-perforated panel MPP1; r3 represents the relative acoustic resistance of the micro-perforated panel MPP3; Z1 represents the back cavity relative acoustic capacity of the micro-perforated panel MPP1; X3 represents the total relative acoustic reactance of the micro-perforated panel MPP3.

[0069] The calculation formula of the equivalent relative acoustic reactance calculation model of the micro-perforated absorber MPA1 is:

[0070]

[0071] wherein, x s represents the equivalent relative acoustic reactance of the micro-perforated absorber MPA1; X1 represents the total relative acoustic reactance of the micro-perforated panel MPP1; Z1 represents the back cavity relative acoustic capacity of the micro-perforated panel MPP1; X3 represents the total relative acoustic reactance of the micro-perforated panel MPP3; r3 represents the relative acoustic resistance of the micro-perforated panel MPP3.

[0072] In this embodiment, according to the formula (one)-formula (five), the relative acoustic resistance r2, the back cavity relative acoustic capacity Z2, the total relative acoustic reactance X2 of the micro-perforated panel MPP2, the relative acoustic resistance r4, the back cavity relative acoustic capacity Z4, the total relative acoustic reactance X4 of the micro-perforated panel MPP4 are calculated, and the calculation formula of the equivalent relative acoustic resistance calculation model of the micro-perforated absorber MPA2 is:

[0073]

[0074] wherein, r t represents the equivalent relative acoustic resistance of the micro-perforated absorber MPA2; r2 represents the relative acoustic resistance of the micro-perforated panel MPP2; r4 represents the relative acoustic resistance of the micro-perforated panel MPP4; Z2 represents the back cavity relative acoustic capacity of the micro-perforated panel MPP2; X4 represents the total relative acoustic reactance of the micro-perforated panel MPP4.

[0075] The calculation formula of the equivalent relative acoustic reactance calculation model of the micro-perforated absorber MPA2 is:

[0076]

[0077] wherein, x t represents the equivalent relative acoustic reactance of the micro-perforated absorber MPA2; X2 represents the total relative acoustic reactance of the micro-perforated panel MPP2; Z2 represents the back cavity relative acoustic capacity of the micro-perforated panel MPP2; X4 represents the total relative acoustic reactance of the micro-perforated panel MPP4; r4 represents the relative acoustic resistance of the micro-perforated panel MPP4.

[0078] (2) According to the equivalent relative acoustic resistance calculation model of each micro-perforated panel and the equivalent relative acoustic reactance calculation model of each micro-perforated panel, and based on the equivalent circuit diagram of the complex micro-perforated panel sound absorption structure, the parallel acoustic resistance calculation model and the parallel acoustic reactance calculation model are derived.

[0079] In this embodiment, the calculation formula of the parallel acoustic resistance calculation model of the micro-perforated panel MPA1 and the micro-perforated panel MPA2 includes:

[0080]

[0081] wherein, r 23 represents the parallel acoustic resistance of the micro-perforated panel MPA1 and the micro-perforated panel MPA2; represents the area ratio of the micro-perforated panel MPP1; r t represents the equivalent relative acoustic resistance of the micro-perforated panel MPA2; represents the area ratio of the micro-perforated panel MPP2; r s represents the equivalent relative acoustic resistance of the micro-perforated panel MPA1; x t represents the equivalent relative acoustic reactance of the micro-perforated panel MPA2; x s represents the equivalent relative acoustic reactance of the micro-perforated panel MPA1.

[0082] In this embodiment, the calculation formula of the parallel acoustic reactance calculation model of the micro-perforated panel MPA1 and the micro-perforated panel MPA2 includes:

[0083]

[0084] wherein, x 23 represents the parallel acoustic reactance of the micro-perforated panel MPA1 and the micro-perforated panel MPA2; x t represents the equivalent relative acoustic reactance of the micro-perforated panel MPA2; x s represents the equivalent relative acoustic reactance of the micro-perforated panel MPA1; represents the area ratio of the micro-perforated panel MPP1; represents the area ratio of the micro-perforated panel MPP2; r s represents the equivalent relative acoustic resistance of the micro-perforated panel MPA1; r t represents the equivalent relative acoustic resistance of the micro-perforated panel MPA2.

[0085] (3) According to the parallel acoustic resistance calculation model and the parallel acoustic reactance calculation model, the overall acoustic resistance calculation model r A of the complex micro-perforated panel sound absorption structure and the overall acoustic reactance calculation model x A of the complex micro-perforated panel sound absorption structure are derived.

[0086] In this embodiment, the calculation formula of the overall acoustic resistance calculation model r A of the complex micro-perforated panel sound absorption structure includes:Figures 1-2 The calculation formula of the overall acoustic resistance calculation model of the complex micro-perforated panel sound absorption structure shown includes:

[0087]

[0088] wherein, r A represents the overall acoustic resistance of the complex micro-perforated panel sound absorption structure; r0 represents the equivalent relative acoustic resistance of the micro-perforated sound absorption body MPA0; represents the area ratio of the micro-perforated panel MPP0; r 23 represents the parallel acoustic resistance of the micro-perforated sound absorption body MPA1 and the micro-perforated sound absorption body MPA2; X0 represents the equivalent relative acoustic reactance of the micro-perforated sound absorption body MPA0; 23 represents the parallel acoustic reactance of the micro-perforated sound absorption body MPA1 and the micro-perforated sound absorption body MPA2.

[0089] In this embodiment, the calculation formula of the area ratio of the micro-perforated panel MPP0 includes: Figures 1-2 The calculation formula of the overall acoustic reactance calculation model of the complex micro-perforated panel sound absorption structure shown includes:

[0090]

[0091] wherein, x A represents the overall acoustic reactance of the complex micro-perforated panel sound absorption structure; x 23 represents the parallel acoustic reactance of the micro-perforated sound absorption body MPA1 and the micro-perforated sound absorption body MPA2; X0 represents the equivalent relative acoustic reactance of the micro-perforated sound absorption body MPA0; represents the area ratio of the micro-perforated panel MPP0; r0 represents the equivalent relative acoustic resistance of the micro-perforated sound absorption body MPA0; r 23 represents the parallel acoustic resistance of the micro-perforated sound absorption body MPA1 and the micro-perforated sound absorption body MPA2.

[0092] In this embodiment, the calculation formula of the area ratio of the micro-perforated panel MPP0 includes:

[0093]

[0094] wherein, represents the area ratio of the micro-perforated panel MPP0; A0 represents the area of the micro-perforated panel MPP0; A1 represents the area of the micro-perforated panel MPP1; A2 represents the area of the micro-perforated panel MPP2.

[0095] In this embodiment, the calculation formula of the area ratio of the micro-perforated panel MPP1 includes:

[0096]

[0097] wherein, represents the area ratio of the micro-perforated plate MPP1; A0 represents the area of ​​the micro-perforated plate MPP0; A1 represents the area of ​​the micro-perforated plate MPP1; A2 represents the area of ​​the micro-perforated plate MPP2.

[0098] In this embodiment, the calculation formula for the area ratio of the micro-perforated plate MPP2 includes:

[0099]

[0100] in, represents the area ratio of the micro-perforated plate MPP2; A0 represents the area of ​​the micro-perforated plate MPP0; A1 represents the area of ​​the micro-perforated plate MPP1; A2 represents the area of ​​the micro-perforated plate MPP2.

[0101] S302: deriving a sound absorption coefficient calculation model of the complex micro-perforated plate sound absorption structure according to the overall acoustic resistance calculation model of the complex micro-perforated plate sound absorption structure and the overall acoustic reactance calculation model of the complex micro-perforated plate sound absorption structure.

[0102] In this embodiment, the calculation formula of the sound absorption coefficient calculation model of the complex micro-perforated plate sound absorption structure includes:

[0103]

[0104] Among them, α A Represents the sound absorption coefficient of the complex micro-perforated plate sound absorption structure; r A Represents the overall acoustic resistance of the complex micro-perforated plate sound absorption structure; x A Represents the overall acoustic impedance of the complex micro-perforated plate sound absorption structure.

[0105] In this embodiment, according to formulas (1) to (17), it can be seen that the perforation diameter, perforation ratio, board thickness, back cavity depth, and area ratio are important parameters that determine the sound absorption coefficient.

[0106] S303: Constructing an objective function model of the complex micro-perforated plate sound absorption structure according to the sound absorption coefficient calculation model of the complex micro-perforated plate sound absorption structure.

[0107] In this embodiment, the calculation formula of the objective function model of the complex micro-perforated plate sound absorption structure includes:

[0108]

[0109] in, represents the average sound absorption coefficient of the complex micro-perforated plate sound absorption structure; α(f I ) represents the frequency f I The sound absorption coefficient of the complex micro-perforated plate sound absorption structure when n is the number of discrete frequency points; I is the serial number of the discrete frequency point selected in the target frequency band; fI Represents the frequency of discrete frequency points.

[0110] In this embodiment, illustratively, the target frequency band may be selected from the 400-3000 Hz frequency band. In the 400-3000 Hz frequency band, n discrete frequency points are selected with a step size of 20 Hz, and the average sound absorption coefficient of the n discrete frequency points is used as the target function.

[0111] S304: Based on the Grey Wolf algorithm and preset constraints, and according to the objective function model of the complex micro-perforated plate sound absorption structure, the parameters of the complex micro-perforated plate sound absorption structure are optimized to output an optimal micro-perforated plate structure parameter set.

[0112] In this embodiment, if Figure 6 FIG. 1 shows a flow chart of optimizing parameters of a complex micro-perforated plate sound absorption structure according to an embodiment of the present invention. The method of optimizing the parameters of the complex micro-perforated plate sound absorption structure based on the Grey Wolf algorithm and preset constraints, and according to the objective function model of the complex micro-perforated plate sound absorption structure, to output an optimal set of micro-perforated plate structure parameters, includes:

[0113] S3041: Based on the preset initial parameters of the complex micro-perforated plate sound absorption structure, the preset constraints, and the number of micro-perforated plate combinations, and based on the Grey Wolf algorithm and the preset constraints, multiple sets of original micro-perforated plate structure parameter sets are randomly generated.

[0114] In this embodiment, the number of micro-perforated plates is M, indicating that the complex micro-perforated plate sound absorption structure includes M micro-perforated plates.

[0115] In this embodiment, each set of original micro-perforated panel structural parameter sets includes one or more of the following: micropore diameter, perforation ratio, panel thickness, panel back cavity depth, and area ratio. Each set of original micro-perforated panel structural parameter sets corresponds to a parameter configuration for a complex micro-perforated panel sound absorption structure.

[0116] In this embodiment, since the object itself has thickness, the preset constraints include:

[0117]

[0118] Among them, a i represents the perforation diameter of a single micro-perforated plate; p represents the perforation rate; D i V represents the back cavity depth of the microperforated plate in a multi-layer microperforated sound absorber; D0 represents the back cavity depth of the microperforated plate in a single-layer microperforated sound absorber; MPA represents the volume of a single-layer micro-perforated sound absorber; S MPP It represents the area of ​​the micro-perforated plate in a single-layer micro-perforated sound absorber; an area ratio of the jth micro-perforated panel at the top layer.

[0119] In this embodiment, the complex micro-perforated panel sound absorption structure shown in Figures 1-2 The preset constraint conditions of the complex micro-perforated panel sound absorption structure shown in

[0120]

[0121] wherein a i represents a perforation diameter of a single micro-perforated panel; p represents a perforation rate; D1 represents a back cavity depth of the micro-perforated panel MPP1; D2 represents a back cavity depth of the micro-perforated panel MPP2; D3 represents a back cavity depth of the micro-perforated panel MPP3; D4 represents a back cavity depth of the micro-perforated panel MPP4; D0 represents a back cavity depth of the micro-perforated panel MPP0; V MPA0 represents a volume of the micro-perforated sound absorption body MPA0; S MPP0 represents an area of the micro-perforated panel MPP0; represents an area ratio of the micro-perforated panel MPP0; represents an area ratio of the micro-perforated panel MPP1; represents an area ratio of the micro-perforated panel MPP2.

[0122] S3042: According to each set of original micro-perforated panel structure parameters, and based on the objective function model of the complex micro-perforated panel sound absorption structure, the average sound absorption coefficient corresponding to each set of original micro-perforated panel structure parameters is calculated.

[0123] In this embodiment, according to formula (XVIII), the average sound absorption coefficient corresponding to each set of original micro-perforated panel structure parameters is calculated.

[0124] S3043: The average sound absorption coefficients corresponding to each set of original micro-perforated panel structure parameters are sorted to screen out a first-level structure parameter set, a second-level structure parameter set, a third-level structure parameter set, and a fourth-level structure parameter set.

[0125] In this embodiment, the average sound absorption coefficients corresponding to each set of original micro-perforated panel structure parameters are sorted, the original micro-perforated panel structure parameter set corresponding to the first highest average sound absorption coefficient is taken as the first-level structure parameter set, the original micro-perforated panel structure parameter set corresponding to the second highest average sound absorption coefficient is taken as the second-level structure parameter set, the original micro-perforated panel structure parameter set corresponding to the third highest average sound absorption coefficient is taken as the third-level structure parameter set, and the original micro-perforated panel structure parameter sets other than the first-level structure parameter set, the second-level structure parameter set, and the third-level structure parameter set are taken as the fourth-level structure parameter set.

[0126] S3044: based on the displacement update mechanism in the grey wolf algorithm and the preset maximum number of iterations, the first hierarchical structure parameter set, the second hierarchical structure parameter set, the third hierarchical structure parameter set and the fourth hierarchical structure parameter set are updated for multiple rounds of iterations to output the optimal micro-perforated plate structure parameter set.

[0127] In this embodiment, the way of updating the first hierarchical structure parameter set, the second hierarchical structure parameter set, the third hierarchical structure parameter set and the fourth hierarchical structure parameter set based on the displacement update mechanism in the grey wolf algorithm and the preset maximum number of iterations to output the optimal micro-perforated plate structure parameter set includes:

[0128] (1) Based on the displacement update mechanism in the grey wolf algorithm, and according to the first hierarchical structure parameter set, the second hierarchical structure parameter set and the third hierarchical structure parameter set, the fourth hierarchical structure parameter set is updated.

[0129] (2) Based on the objective function model of the complex micro-perforated plate sound absorption structure, the average absorption coefficient corresponding to the first hierarchical structure parameter set, the average absorption coefficient corresponding to the second hierarchical structure parameter set, the average absorption coefficient corresponding to the third hierarchical structure parameter set and the average absorption coefficient corresponding to the updated fourth hierarchical structure parameter set are recalculated to filter out new first hierarchical structure parameter set, new second hierarchical structure parameter set, new third hierarchical structure parameter set and new fourth hierarchical structure parameter set.

[0130] (3) Repeat the above updating, calculating, filtering and other processes until the preset maximum number of iterations is met to output the final first hierarchical structure parameter set as the optimal micro-perforated plate structure parameter set.

[0131] In this embodiment, under the framework of the grey wolf algorithm, first, according to the hierarchical division in the current population, i.e., the first hierarchical structure parameter set, the second hierarchical structure parameter set and the third hierarchical structure parameter set, the fourth hierarchical structure parameter set is updated. The core mechanism of updating is to simulate the cooperative hunting behavior of wolf packs: the first hierarchical structure parameter set, the second hierarchical structure parameter set and the third hierarchical structure parameter set as leaders guide the fourth hierarchical structure parameter set to update parameters by calculating the relative distance and direction of the fourth hierarchical structure parameter set.

[0132] In this embodiment, after the update is completed, the performance of all hierarchical parameter set is re-evaluated based on the target function model of the complex micro-perforated panel sound absorption structure. Specifically, the average sound absorption coefficient corresponding to the first hierarchical parameter set, the average sound absorption coefficient corresponding to the second hierarchical parameter set, the average sound absorption coefficient corresponding to the third hierarchical parameter set, and the average sound absorption coefficient corresponding to the updated fourth hierarchical parameter set are recalculated, and the population is reordered according to the calculation results. The parameter set with the highest average sound absorption coefficient becomes the new first hierarchical parameter set, the second best and third best sets are respectively taken as the new second hierarchical parameter set and the new third hierarchical parameter set, and the rest are taken as the new fourth hierarchical parameter set. This screening process ensures that the population always evolves towards the direction of better sound absorption performance.

[0133] In this embodiment, the above steps are executed in a loop, and each iteration updates the fourth hierarchical parameter set through hierarchical cooperation and optimizes the population structure through target function evaluation and reordering. When the preset maximum number of iterations is reached, the algorithm terminates and outputs the final first hierarchical parameter set as the optimal solution. This result is the best structure parameter combination of the micro-perforated panel searched by the grey wolf algorithm, which widens the effective sound absorption frequency band while ensuring low-frequency sound absorption performance, and provides a better solution for ship engine aerodynamic noise control.

[0134] In this embodiment, in order to facilitate the understanding of the process of optimizing the parameters of the complex micro-perforated panel sound absorption structure, the grey wolf algorithm is explained as follows:

[0135] In this embodiment, the grey wolf algorithm (GWO) is a swarm intelligence optimization algorithm inspired by the social hierarchy and hunting behavior of grey wolves. It simulates the leadership hierarchy and cooperative hunting mechanism in wolf packs to solve continuous optimization problems, and has the advantages of fast convergence speed, few parameters, and easy implementation.

[0136] In this embodiment, the grey wolf algorithm (GWO) updates the position by simulating the process of tracking, surrounding and attacking prey, and gradually approaches the optimal solution. It mainly consists of three stages:

[0137] (1) First, the wolf population is divided into different levels. According to the iterative process of the target function value, the grey wolf individuals are defined as the alpha wolf (the current optimal solution), the beta wolf (the second optimal solution), the gamma wolf (the third optimal solution), and the rest are the delta wolves (ordinary solutions).

[0138] (2) In the process of surrounding the prey, the solution of each problem is the position information of the grey wolf. The surrounding behavior exhibited in the grey wolf solving process is defined by the following formula:

[0139]

[0140] wherein t' represents the current iteration number; L represents the distance between the grey wolf and the prey; A' represents the first synergy coefficient vector; C represents the second synergy coefficient vector; X p (t') represents the position vector of the prey; X(t') represents the position vector of the current grey wolf; X(t'+1) represents the updated position vector of the grey wolf.

[0141] In this embodiment, the calculation formula of the first synergy coefficient vector and the second synergy coefficient vector is as follows:

[0142]

[0143] wherein a' represents the convergence factor; A' represents the first synergy coefficient vector; C represents the second synergy coefficient vector; r1' represents the first random vector with the modulus between 0 and 1; r2' represents the second random vector with the modulus between 0 and 1.

[0144] In the process of grey wolf hunting, the top three grey wolves (the alpha wolf, the beta wolf and the gamma wolf) closest to the prey lead the wolf pack to approach the space where the prey is located. In order to solve the problem that the optimal solution of the wolf pack in the hunting process is unknown, it is assumed that the position update of the alpha wolf, the beta wolf and the gamma wolf to the prey is known, so that three optimal solutions are obtained. The wolves update their own positions according to the positions of the alpha wolf, the beta wolf and the gamma wolf, slowly approach the position of the prey, complete the surrounding tracking of the prey, and the displacement update mechanism includes:

[0145]

[0146] wherein L α represents the distance between the current alpha wolf and the current beta wolf; X α (t') represents the position vector of the current alpha wolf; X(t')' represents the position vector of the current beta wolf; L β represents the distance between the current beta wolf and the current gamma wolf; X β (t') represents the position vector of the current beta wolf; L δ represents the distance between the current gamma wolf and the current beta wolf; X δ (t') represents the position vector of the current gamma wolf; C1 represents the first random variable; C2 represents the second random variable; C3 represents the third random variable; X1' represents the candidate position vector of the current beta wolf moving towards the current alpha wolf; X2' represents the candidate position vector of the current beta wolf moving towards the current gamma wolf; X3' represents the candidate position vector of the current beta wolf moving towards the current alpha wolf; A1 represents the first coefficient variable; A2 represents the second coefficient variable; A3 represents the third coefficient variable; X (t’+1) ' represents the updated position vector of the current beta wolf.

[0147] In this embodiment, A1, A2, A3 are randomly determined according to r1' in formula (XXII), and C1, C2, C3 are randomly determined according to r2' in formula (XXII).

[0148] (3) Attacking the prey, the convergence factor a' controls the gray wolf to stop attacking the prey, and the hunting purpose is completed. The size of the convergence factor a' decreases linearly with the decrease of the iteration number. When the convergence factor a' decreases to 0, the iteration number is maximum, the surrounding is stopped and the attack on the prey is launched, that is, the iteration is stopped, and the result is output. The calculation formula of the convergence factor is as follows:

[0149]

[0150] Wherein, a' represents the convergence factor; t' represents the current iteration number; t max represents the maximum iteration number.

[0151] It is worth noting that the optimization method of the complex micro-perforated panel sound absorption structure has the following advantages:

[0152] (1) Based on the micro-perforated sound absorption structure theory and the acoustic-electric analogy model, the objective function model of the complex micro-perforated panel sound absorption structure is constructed, and the grey wolf algorithm is introduced to realize intelligent optimization of multiple parameters. Under the preset constraint condition, the optimal structure parameter combination can be automatically searched. Compared with the traditional trial and error method or single objective optimization, the structure parameter optimization efficiency is improved.

[0153] (2) According to the objective function model of the complex micro-perforated panel sound absorption structure, and through the grey wolf algorithm, the parameters of the complex micro-perforated panel sound absorption structure are optimized, the parameters such as layered perforation aperture, perforation rate, plate thickness, back cavity depth, area ratio, etc. are automatically matched, the low-frequency sound absorption performance is improved under the condition of limited back cavity, and the effective frequency band is widened, the optimization cycle is shortened, and the artificial trial and error is avoided.

[0154] In the embodiments of the present application, the same items or similar items with basically the same functions and effects are distinguished by using "first", "second", etc. For example, the first level structure parameter set and the second level structure parameter set are only used to distinguish different structure parameter sets, and the order is not limited. Those skilled in the art can understand that "first", "second", etc. do not limit the number and execution order, and "first", "second", etc. also do not limit the difference.

[0155] It should be noted that in the embodiments of the present application, the words "exemplary" or "for example" mean serving as an example, instance, or illustration, at 99 least. The absence of the words "exemplary" or "for example" does not mean that the embodiment or designs are preferred or advantageous over other embodiments or designs. In fact, any embodiment or design described as "exemplary" or "for example" is not necessarily preferred or advantageous over other embodiments or designs.

[0156] In the embodiments of the present application, "at least one" means one or more, and "multiple" means two or more. The association relationship of the associated objects is described, which means that there can be three kinds of relationships, for example, A and / or B, which can represent the following three cases: A exists alone, A and B exist together, and B exists alone, wherein A and B can be singular or plural. The character " / " generally represents an "or" relationship between the front and rear associated objects. "At least one of the following" or similar expressions means any combination of these items, including any combination of single item or multiple items. For example, at least one of a, b or c can represent a, b, c, a-b, a-c, b-c or a-b-c, wherein a, b and c can be single or multiple.

[0157] Figure 7 is a schematic block diagram of an optimization system of a complex micro-perforated panel sound absorption structure provided by the embodiments of the present application. As shown in Figure 7 The optimization system 700 of the complex micro-perforated panel sound absorption structure includes:

[0158] The acoustic resistance and reactance derivation module 701 is configured to derive an overall acoustic resistance calculation model of the complex micro-perforated panel sound absorption structure and an overall acoustic reactance calculation model of the complex micro-perforated panel sound absorption structure based on a micro-perforated sound absorption structure theory and an acoustoelectric analogy model.

[0159] The sound absorption coefficient derivation module 702 is configured to derive a sound absorption coefficient calculation model of the complex micro-perforated panel sound absorption structure according to the overall acoustic resistance calculation model of the complex micro-perforated panel sound absorption structure and the overall acoustic reactance calculation model of the complex micro-perforated panel sound absorption structure.

[0160] The objective function construction module 703 is configured to construct an objective function model of the complex micro-perforated panel sound absorption structure according to the sound absorption coefficient calculation model of the complex micro-perforated panel sound absorption structure.

[0161] The parameter optimization module 704 is configured to optimize the parameters of the complex micro-perforated panel sound absorption structure based on a grey wolf algorithm and a preset constraint condition and according to the objective function model of the complex micro-perforated panel sound absorption structure, to output an optimal micro-perforated panel structure parameter set.

[0162] It should be understood that the specific process of each module performing the corresponding steps described above has been described in detail in the method embodiments described above, and for the sake of brevity, will not be repeated here.

[0163] It should also be understood that the division of the modules in the embodiments of the present application is illustrative, and is only a logical functional division. In actual implementation, there can be another division manner. In addition, each functional module in each embodiment of the present application can be integrated in one processor, or can be physically separated, or two or more modules can be integrated in one module. The integrated module can be realized in the form of hardware or in the form of a software functional module.

[0164] According to the method provided in the embodiments of the present application, the present application further provides a computer readable storage medium, which stores a computer program. The computer program is executed by a processor to implement the optimization method of the complex micro-perforated panel sound absorption structure as described above.

[0165] According to the method provided in the embodiments of the present application, the present application further provides a computer program product, which includes computer program codes. When the computer program codes are run on a computer, the computer program codes make the computer implement the optimization method of the complex micro-perforated panel sound absorption structure as described above.

[0166] The terms "component", "module", "system", and the like used in the present specification are used to represent computer-related entities, hardware, a combination of hardware and software, software, or software in execution. For example, a component can be, but is not limited to, a process running on a processor, a processor, an object, an executable, a thread of execution, a program, and / or a computer. By way of illustration, both an application running on a computing device and the computing device can be a component. One or more components can reside within a process and / or thread of execution, and a component can be localized on one computer and / or distributed between two or more computers. In addition, these components can execute from various computer readable media having various data structures stored thereon. The components can communicate by way of local and / or remote processes such as in accordance with a signal having one or more data packets (e.g., data from programs, data included in a management information base, etc.), such as data in a signal formed by a device according to the teachings of the present disclosure and to a signal formed by another device in communication with the device.

[0167] Those of skill in the art would understand that the various illustrative logical blocks and steps described in connection with the embodiments disclosed herein can be implemented as electronic hardware, or a combination of computer software and electronic hardware. The choice of hardware or software, or combination thereof, would be dependent on the specific application and design constraints imposed on the overall system. Skilled artisans can implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

[0168] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the system, device and unit described above can refer to the corresponding process in the foregoing method embodiments, which will not be repeated here.

[0169] In several embodiments provided in the present application, it should be understood that the disclosed system, device and method can be implemented in other ways. For example, the device embodiments described above are merely illustrative, for example, the division of units is only a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0170] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0171] In addition, the functional units in each embodiment of the present application can be integrated into a processing unit, or each unit can be physically present alone, or two or more units can be integrated into one unit.

[0172] In the above embodiments, the functions of the various functional units can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented by software, the functions can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions (programs). When the computer program instructions (programs) are loaded and executed on a computer, the whole or part of the processes or functions according to the embodiments of the present application are generated. The computer can be a general purpose computer, a special purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer readable storage medium or transferred from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions can be transferred from one website, computer, server or data center to another website, computer, server or data center through wired (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.) mode. The computer readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. containing one or more available media. The available media can be magnetic media (such as floppy disk, hard disk, magnetic tape), optical media (such as high-density digital video disc (digital video disc, DVD), or semiconductor media (such as solid state disk (solid state disk, SSD) and the like.

[0173] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the parts that make contributions to the prior art or parts of the technical solutions can be embodied in the form of software products. The computer software product is stored in a storage medium and includes a number of instructions for making a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the embodiments of the present application. The storage medium mentioned above includes: U disk, mobile hard disk, read-only memory (read-only memory, ROM), random access memory (random access memory, RAM), magnetic disk or optical disk and various media that can store program codes.

[0174] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical scope disclosed in the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

[0175] In summary, the application provides a complex micro-perforated panel sound absorption structure optimization method, system, medium and product, based on the micro-perforated sound absorption structure theory and the sound-electricity analogy model, a target function model of the complex micro-perforated panel sound absorption structure is constructed, and the grey wolf algorithm is introduced to realize intelligent optimization of multiple parameters, so that the optimal structure parameter combination can be automatically searched under the preset constraint condition. Compared with the traditional trial and error method or single target optimization, the structure parameter optimization efficiency is improved, and the optimization period is shortened. Therefore, the application effectively overcomes various shortcomings in the prior art and has high industrial utilization value.

[0176] The above embodiments only exemplarily illustrate the principles and effects of the application, and are not used to limit the application. Any person skilled in the art can modify or change the above embodiments without departing from the spirit and scope of the application. Therefore, all equivalent modifications or changes completed by those skilled in the art without departing from the spirit and technical idea disclosed in the application should be covered by the claims of the application.

Claims

1. A method for optimizing a complex micro-perforated plate sound absorption structure, characterized in that: include: Based on the theory of micro-perforated sound absorption structure and the acoustic-electrical analogy model, the overall acoustic resistance calculation model of the complex micro-perforated plate sound absorption structure and the overall acoustic reactance calculation model of the complex micro-perforated plate sound absorption structure are derived; A sound absorption coefficient calculation model of the complex micro-perforated plate sound absorption structure is derived based on the overall acoustic resistance calculation model of the complex micro-perforated plate sound absorption structure and the overall acoustic reactance calculation model of the complex micro-perforated plate sound absorption structure; According to the sound absorption coefficient calculation model of the complex micro-perforated plate sound absorption structure, an objective function model of the complex micro-perforated plate sound absorption structure is constructed; Based on the Grey Wolf algorithm and preset constraints, and according to the objective function model of the complex micro-perforated plate sound absorption structure, the parameters of the complex micro-perforated plate sound absorption structure are optimized to output an optimal micro-perforated plate structure parameter set.

2. The optimization method of the complex micro-perforated plate sound absorption structure according to claim 1, characterized in that: The calculation formula of the objective function model of the complex micro-perforated plate sound absorption structure includes: in, represents the average sound absorption coefficient of the complex micro-perforated plate sound absorption structure; α(f I ) represents the frequency f I The sound absorption coefficient of the complex micro-perforated plate sound absorption structure when n is the number of discrete frequency points; I is the serial number of the discrete frequency point selected in the target frequency band; f I Represents the frequency of discrete frequency points.

3. The optimization method of the complex micro-perforated plate sound absorption structure according to claim 2, characterized in that: The method of optimizing the parameters of the complex micro-perforated plate sound absorption structure based on the Grey Wolf algorithm and preset constraints and according to the objective function model of the complex micro-perforated plate sound absorption structure to output the optimal micro-perforated plate structure parameter set includes: According to the preset initial parameters of the complex micro-perforated plate sound absorption structure, the preset constraints and the number of micro-perforated plate combinations, and based on the Grey Wolf algorithm and the preset constraints, multiple sets of original micro-perforated plate structure parameter sets are randomly generated; According to each set of original micro-perforated plate structural parameter sets and based on the objective function model of the complex micro-perforated plate sound absorption structure, the average sound absorption coefficient corresponding to each set of original micro-perforated plate structural parameter sets is calculated; Sorting the average sound absorption coefficients corresponding to the original micro-perforated plate structural parameter sets of each group to screen out a first-level structural parameter set, a second-level structural parameter set, a third-level structural parameter set, and a fourth-level structural parameter set; Based on the displacement update mechanism in the grey wolf algorithm and the preset maximum number of iterations, multiple rounds of iterative updates are performed on the first-level structural parameter set, the second-level structural parameter set, the third-level structural parameter set, and the fourth-level structural parameter set to output the optimal micro-perforated plate structural parameter set.

4. The optimization method of the complex micro-perforated plate sound absorption structure according to claim 3, characterized in that: The method of performing multiple rounds of iterative updates on the first level structure parameter set, the second level structure parameter set, the third level structure parameter set, and the fourth level structure parameter set based on the displacement update mechanism in the Grey Wolf algorithm and a preset maximum number of iterations to output an optimal micro-perforated plate structure parameter set includes: Based on the displacement update mechanism in the Grey Wolf Algorithm, and according to the first hierarchical structure parameter set, the second hierarchical structure parameter set, and the third hierarchical structure parameter set, the fourth hierarchical structure parameter set is updated; Based on the objective function model of the complex micro-perforated plate sound absorption structure, recalculating the average sound absorption coefficient corresponding to the first-level structural parameter set, the average sound absorption coefficient corresponding to the second-level structural parameter set, the average sound absorption coefficient corresponding to the third-level structural parameter set, and the average sound absorption coefficient corresponding to the updated fourth-level structural parameter set to screen out a new first-level structural parameter set, a new second-level structural parameter set, a new third-level structural parameter set, and a new fourth-level structural parameter set; The above updating, calculating, screening and other processes are repeated until the preset maximum number of iterations is met, so as to output the final first-level structural parameter set as the optimal micro-perforated plate structural parameter set.

5. The optimization method of the complex micro-perforated plate sound absorption structure according to claim 3, characterized in that: Each set of original micro-perforated plate structural parameter sets includes one or more combinations of micro-pore diameter, perforation rate, plate thickness, plate back cavity depth, and area ratio.

6. The optimization method of the complex micro-perforated plate sound absorption structure according to claim 1, characterized in that: The calculation formula of the sound absorption coefficient calculation model of the complex micro-perforated plate sound absorption structure includes: Among them, α A Represents the sound absorption coefficient of the complex micro-perforated plate sound absorption structure; r A Represents the overall acoustic resistance of the complex micro-perforated plate sound absorption structure; x A Represents the overall acoustic impedance of the complex micro-perforated plate sound absorption structure.

7. The optimization method of the complex micro-perforated plate sound absorption structure according to claim 1, characterized in that: The method of deriving the overall acoustic resistance calculation model and the overall acoustic reactance calculation model of the complex micro-perforated plate sound absorption structure based on the micro-perforated sound absorption structure theory and the acoustic-electrical analogy model includes: Based on the theory of micro-perforated sound absorption structure, the relative acoustic resistance calculation model of a single micro-perforated plate, the relative acoustic reactance calculation model of a single micro-perforated plate, and the relative acoustic capacity calculation model of the back cavity of a single micro-perforated plate are obtained. Obtaining a total relative acoustic reactance calculation model of the single micro-perforated plate according to the calculation model of the relative acoustic reactance of the single micro-perforated plate and the calculation model of the relative acoustic capacity of the back cavity of the single micro-perforated plate; Based on the acoustic-electric analogy model and combined with the series-parallel coupling mechanism of the micro-perforated plate, the equivalent circuit diagram of the complex micro-perforated plate sound absorption structure is obtained; According to the relative acoustic resistance calculation model of the single micro-perforated plate, the relative acoustic capacity calculation model of the back cavity of the single micro-perforated plate, and the total relative acoustic reactance calculation model of the single micro-perforated plate, and based on the equivalent circuit diagram of the complex micro-perforated plate sound absorption structure, the overall acoustic resistance calculation model of the complex micro-perforated plate sound absorption structure and the overall acoustic reactance calculation model of the complex micro-perforated plate sound absorption structure are derived.

8. An optimization system for a complex micro-perforated plate sound absorption structure, characterized in that: include: The acoustic impedance and reactance derivation module is used to derive the overall acoustic impedance calculation model and the overall acoustic reactance calculation model of the complex micro-perforated plate sound absorption structure based on the micro-perforated sound absorption structure theory and the acoustic-electrical analogy model; A sound absorption coefficient derivation module, configured to derive a sound absorption coefficient calculation model for the complex micro-perforated plate sound absorption structure based on an overall acoustic resistance calculation model and an overall acoustic reactance calculation model of the complex micro-perforated plate sound absorption structure; An objective function construction module is used to construct an objective function model of the complex micro-perforated plate sound absorption structure according to the sound absorption coefficient calculation model of the complex micro-perforated plate sound absorption structure; The parameter optimization module is used to optimize the parameters of the complex micro-perforated plate sound absorption structure based on the gray wolf algorithm and preset constraints and according to the objective function model of the complex micro-perforated plate sound absorption structure to output an optimal micro-perforated plate structure parameter set.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the optimization method of the complex micro-perforated plate sound absorbing structure according to any one of claims 1 to 7 is implemented.

10. A computer program product, characterized in that The computer program product includes computer program codes, and when the computer program codes are run on a computer, the computer is enabled to implement the method for optimizing the complex micro-perforated plate sound absorbing structure according to any one of claims 1 to 7.

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