Acoustic simulation method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention provides an acoustic simulation method and device, electronic equipment and a storage medium, and relates to the technical field of pipeline magnetic levitation traffic. According to the method, flow field unsteady calculation is carried out on the operation environment of the pipeline maglev train through a CFD method, and when an unsteady flow field reaches a statistical stationary state, flow field time domain information is collected; converting the time domain information of the flow field into sound source information in a time domain through sound analogy calculation, and converting the sound source information in the time domain into sound source information in a frequency domain through Fourier transform; according to the sound source information in the frequency domain, near-field sound radiation characteristics are obtained through acoustic finite element calculation, so that flow field-sound field coupling simulation calculation is completed. According to the method, the sound source generation area and the sound radiation area are combined, coupling simulation of aeroacoustics and pipeline acoustics is achieved, and a solid foundation is laid for further clarification of the aerodynamic noise generation mechanism and the propagation process of the pipeline maglev train.

Description

Technical Field

[0001] This application relates to the technical field of pipeline maglev transportation. Specifically, it relates to an acoustic simulation method and device, an electronic device, and a storage medium. Background Art

[0002] Aeroacoustic noise is directly generated by airflows, with the randomness of amplitude and frequency, and presenting irregularity statistically. This kind of noise widely exists in fields such as aviation, aerospace, architecture, and industry. The main purpose of studying aeroacoustic noise is to find methods to reduce this kind of noise.

[0003] When a low-vacuum pipeline high-speed train runs at a high subsonic speed in a pipeline, aeroacoustic noise will become the main noise source of the train. With the increase in the train running speed, the aeroacoustic noise will increase sharply. Due to the existence of strong "ground effect", airflow separation, and sound reflection on the pipeline wall surface in the pipeline, the generation mechanism and propagation process of aeroacoustic noise of the low-vacuum pipeline high-speed train are very complex.

[0004] The prior art includes using dipole noise source and quadrupole noise source models to study the influence of in-pipe air pressure, blockage ratio, and train speed on the aeroacoustic noise source of the pipeline train. The dipole noise source and quadrupole noise source models only consider the generation of aeroacoustic noise sources, and do not analyze the propagation process of sound waves in the pipeline, ignoring the coupling effect between aeroacoustics and pipeline acoustics. When a high-speed maglev train runs in a pipeline, the sound waves generated by it are multiply reflected by the pipeline wall surface and the car body surface, forming a reverberant environment in the pipeline with a long reverberation time, which is much greater than the noise level when the train runs on an open line. Therefore, a new coupled simulation calculation method for aeroacoustics and pipeline acoustics is needed. Summary of the Invention

[0005] To solve one of the above technical defects, an acoustic simulation method and device, an electronic device, and a storage medium are provided in the embodiments of this application.

[0006] According to the first aspect of the embodiments of this application, an acoustic simulation method is provided. The method includes:

[0007] Performing unsteady calculation of the flow field for the operating environment of the pipeline maglev train by the CFD method, and collecting the flow field time-domain information when the unsteady flow field reaches a statistically stationary state;

[0008] Converting the flow field time-domain information into the sound source information in the time domain through acoustic analogy calculation, and converting the sound source information in the time domain into the sound source information in the frequency domain through Fourier transform;

[0009] Obtaining the near-field acoustic radiation characteristics through acoustic finite element calculation according to the sound source information in the frequency domain to complete the flow field-acoustic field coupling simulation calculation.

[0010] In some embodiments of the present application, the steps of performing unsteady calculation of the flow field in the operating environment of the pipeline maglev train by the CFD method and collecting the time-domain information of the flow field when the unsteady flow field reaches the statistical steady state further include:

[0011] Divide the sound source generation area and the sound radiation area, and determine the grid scale and time scale of the sound source generation area according to the highest frequency required to be resolved for near-field sound source capture, so as to perform unsteady calculation of the flow field.

[0012] In some embodiments of the present application, the steps of performing unsteady calculation of the flow field in the operating environment of the pipeline maglev train by the CFD method and collecting the time-domain information of the flow field when the unsteady flow field reaches the statistical steady state further include:

[0013] Refine the grid in the wake region of the pipeline maglev train to capture the shock wave reflection phenomenon in the wake region.

[0014] In some embodiments of the present application, the steps of performing unsteady calculation of the flow field in the operating environment of the pipeline maglev train by the CFD method and collecting the time-domain information of the flow field when the unsteady flow field reaches the statistical steady state further include:

[0015] Perform steady calculation by the RANS method as the initial field for unsteady calculation, and perform unsteady calculation by any one of the LES method and the DES method.

[0016] In some embodiments of the present application, the steps of converting the time-domain information of the flow field into the sound source information in the time domain by acoustic analogy calculation and converting the sound source information in the time domain into the sound source information in the frequency domain by Fourier transform further include:

[0017] Convert the time-domain information of the flow field into the sound source information in the time domain by the acoustic analogy method based on the Mohring theory to complete the conversion of the aerodynamic noise source.

[0018] In some embodiments of the present application, the steps of obtaining the near-field sound radiation characteristics through acoustic finite element calculation according to the sound source information in the frequency domain to complete the flow field-acoustic field coupling simulation calculation further include:

[0019] Obtain the surface sound source on the surface of the pipeline maglev train and the volume sound source of the surrounding flow field according to the Fourier transform result, load the surface sound source and the volume sound source into the acoustic grid of the near-field sound radiation respectively, and perform the acoustic response analysis and solution in the frequency domain to perform the flow field-acoustic field coupling simulation calculation.

[0020] In some embodiments of the present application, the steps of obtaining the near-field sound radiation characteristics through acoustic finite element calculation according to the sound source information in the frequency domain to complete the flow field-acoustic field coupling simulation calculation further include:

[0021] According to the near-field acoustic radiation characteristics, the sound source is converted and the acoustic boundary conditions are set, and the far-field acoustic radiation characteristics are obtained by the ray tracing method.

[0022] According to the second aspect of the embodiments of the present application, an acoustic simulation device is provided. The device includes an unsteady calculation module, a sound source conversion module, and a coupling calculation module; wherein,

[0023] The unsteady calculation module is used to perform unsteady calculation of the flow field of the pipeline maglev train operating environment by the CFD method, and collect the time-domain information of the flow field when the unsteady flow field reaches the statistical steady state;

[0024] The sound source conversion module is used to convert the time-domain information of the flow field into the sound source information in the time domain by acoustic analogy calculation, and convert the sound source information in the time domain into the sound source information in the frequency domain by Fourier transform;

[0025] The coupling calculation module is used to obtain the near-field acoustic radiation characteristics by acoustic finite element calculation according to the sound source information in the frequency domain, so as to complete the flow field-acoustic field coupling simulation calculation.

[0026] According to the third aspect of the embodiments of the present application, a computer device is provided, including: a memory;

[0027] a processor; and a computer program; wherein, the computer program is stored in the memory and is configured to be executed by the processor to implement the steps of any method in the first aspect of the embodiments of the present application.

[0028] According to the fourth aspect of the embodiments of the present application, a computer-readable storage medium is provided, on which a computer program is stored; the computer program is executed by the processor to implement the steps of any method in the first aspect of the embodiments of the present application.

[0029] Adopting the acoustic simulation method provided in the embodiments of the present application has the following beneficial effects:

[0030] According to the method of the present application, the corresponding unsteady flow field is calculated by the CFD method, and then the corresponding equivalent sound source part is extracted and converted from the acoustic perspective, and radiated through the acoustic radiation area, so as to combine the sound source generation area and the acoustic radiation area, realizing the aeroacoustics and pipeline acoustics simulation, and laying a solid foundation for further clarifying the generation mechanism and propagation process of the aeroacoustic noise of the pipeline maglev train. Description of the Drawings

[0031] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation of the present application. In the drawings:

[0032] Figure 1 It is a flowchart of the acoustic simulation method provided by the embodiment of the present application;

[0033] Figure 2 It is a schematic diagram of the basic route of the coupling simulation strategy provided by the embodiment of the present application;

[0034] Figure 3 It is a structural diagram of the acoustic simulation device provided by the embodiment of the present application;

[0035] Figure 4 It is a schematic diagram of the computer device structure provided by an embodiment of the present application. Detailed implementation manners

[0036] In order to make the technical solutions and advantages in the embodiments of the present application clearer and more understandable, the following further details the exemplary embodiments of the present application with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than an exhaustive list of all embodiments. It should be noted that, without conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0037] Please refer to the steps shown in Figure 1 and the route shown in Figure 2 as follows:

[0038] S1: Perform unsteady calculation of the flow field of the operating environment of the pipeline maglev train by the CFD method, and collect the time-domain information of the flow field when the unsteady flow field reaches the statistical steady state.

[0039] In some embodiments of the present application, the sound source generation area and the sound radiation area are segmented, and the grid scale and time scale of the sound source generation area are determined according to the highest frequency required for near-field sound source capture, so as to perform unsteady calculation of the flow field.

[0040] In some embodiments of the present application, the grid of the wake area of the pipeline maglev train is encrypted to capture the shock wave reflection phenomenon in the wake area.

[0041] The basic principle of CFD (Computational Fluid Dynamics) is to numerically solve the differential equations that control fluid flow, obtain the discrete distribution of the flow field of fluid flow on a continuous region, and thus approximately simulate the fluid flow situation.

[0042] In a specific implementation, the sound source generation region and the sound radiation region are separated. In this embodiment, the flow field containing the main sound source components is selected as the sound source generation region. The main aerodynamic noise sources of the pipeline high-speed train include the shed vortices at the rear of the vehicle, the shock-wave - turbulence interference noise in the wake region, the strip vortex development region on the side edge of the vehicle, and the separated vortices in the track groove. Therefore, in this embodiment, preferably, the sound source generation region is defined as the in-pipe flow field region starting from the head position of the vehicle and ending at the rear half of the vehicle length behind the tail of the vehicle, and the two sides of the sound source region are the sound radiation regions.

[0043] In a specific implementation, grid division is performed based on the CFD method, and the grid scale and calculation time scale of the sound source region are determined according to the highest frequency required for near-field sound source capture. Specifically, the acoustic grid scale of the sound radiation region is determined according to the acoustic finite element theory, and the side length of the largest unit should be less than 1 / 6 of the wavelength corresponding to the highest frequency in the target sound wave.

[0044] Furthermore, in this embodiment, in order to clearly capture the shock wave reflection phenomenon in the wake region of the pipeline high-speed train, the grids in the wake region are encrypted.

[0045] In a specific implementation, the RANS method is used to carry out steady-state calculations as the initial field for unsteady calculations.

[0046] In this embodiment, the following preferred selections are made for the parameters of the above calculations:

[0047] The turbulence model uses the Realizable k-ε model. The solver type is Pressure-Velocity coupling, the format is Coupled, the spatial gradient discretization uses Green-Gauss Node Based, and the variable discretization and pressure are of second-order upwind format. The inlet condition of the pipeline is a far-field pressure, the outlet condition of the pipeline is a pressure outlet, the surface of the train is a no-slip wall boundary condition, the pipeline wall is a slip wall boundary condition, and the velocity is equivalent to the oncoming flow. The parameter examples given in the embodiments of this application are for illustrative purposes to deepen the understanding of the technical solutions of this application and do not uniquely limit the actual parameter settings. Those skilled in the art can select parameters according to the technical solutions of this application and in combination with actual requirements.

[0048] In some embodiments of this application, steady-state calculations are carried out by the RANS (Reynolds Average Navier-Stokes) method as the initial field for unsteady calculations, and unsteady calculations are carried out by any one of the LES (Large Eddy Simulation) method and the DES (Detached-Eddy Simulation) method.

[0049] In specific implementation, the LES method or the DES method is adopted for unsteady calculation, and the time-domain information of the flow field is collected when the unsteady flow field reaches a statistically steady state. In this embodiment, the parameters of the above calculations are preferably selected as follows:

[0050] For the large eddy simulation (LES), the Smagorinsky-Lilly model is selected for the sub-grid model, the second-order implicit time marching scheme is adopted, and the time step is taken as 5e-5 s. The parameter examples given in this embodiment of the present application are for illustrative purposes to deepen the understanding of the technical solution of the present application, and do not uniquely limit the actual parameter settings. Those skilled in the art can select parameters according to the technical solution of the present application and in combination with actual requirements.

[0051] Please continue to refer to Figure 1 、 Figure 2 :

[0052] S2: Convert the time-domain information of the flow field into the sound source information in the time domain through acoustic analogy calculation, and convert the sound source information in the time domain into the sound source information in the frequency domain through Fourier transform.

[0053] In some embodiments of the present application, the time-domain information of the flow field is converted into the sound source information in the time domain through the acoustic analogy method based on the Mohring theory to complete the conversion of the aerodynamic noise source.

[0054] In specific implementation, the acoustic analogy method based on the Mohring theory is adopted to convert the flow field information in the time domain into the sound source information in the time domain to complete the conversion of the aerodynamic noise source. In this embodiment, the parameters of the above calculations are preferably selected as follows:

[0055] The flow field data are the velocity vector field, density field, temperature field and pressure field. The flow field data are imported into the ICFD module of Actran software, select ICFD-Caasource, select Mohring-volume for the sound source type, start the conversion of the aerodynamic noise source, and obtain the Mohring sound source in the time domain. The parameter examples given in this embodiment of the present application are for illustrative purposes to deepen the understanding of the technical solution of the present application, and do not uniquely limit the actual parameter settings. Those skilled in the art can select parameters according to the technical solution of the present application and in combination with actual requirements.

[0056] S3: Obtain the near-field acoustic radiation characteristics through acoustic finite element calculation based on the sound source information in the frequency domain to complete the flow field-acoustic field coupling simulation calculation.

[0057] In some embodiments of the present application, the surface sound source of the pipeline maglev train and the volume sound source of the surrounding flow field are obtained according to the Fourier transform result. The surface sound source and the volume sound source are respectively loaded into the acoustic grid of the near-field acoustic radiation, and the acoustic response analysis in the frequency domain is solved to perform the flow field-acoustic field coupling simulation calculation.

[0058] In a specific implementation, the sound source in the time domain is transformed into the sound source in the frequency domain through Fourier transform, so as to obtain the surface sound source of the train and the volume sound source information of the flow field around the train. Specifically, for the Mohring volume sound source, it is necessary to correct the acoustic radiation of the flow field.

[0059] In a specific implementation, for the near-field acoustic radiation problem, the surface sound source and the volume sound source are respectively loaded onto the acoustic grid, and the acoustic response analysis in the frequency domain is solved, so as to realize the flow field-acoustic field coupling simulation calculation.

[0060] In this embodiment, the following preferred selections are made for the parameters of the above calculation:

[0061] The direct frequency response module in Actran software is used to solve the acoustic response analysis in the frequency domain, and the MUMPS solver is used. The parameter examples given in the embodiments of the present application are for illustrative purposes to deepen the understanding of the technical solutions of the present application, and do not uniquely limit the actual parameter settings. Those skilled in the art can select parameters according to the technical solutions of the present application and in combination with actual requirements.

[0062] In some embodiments of the present application, according to the near-field acoustic radiation characteristics, the sound source conversion and the acoustic boundary condition setting are performed, and the far-field acoustic radiation characteristics are obtained by the ray tracing method.

[0063] In a specific implementation, for the far-field acoustic radiation problem, the inventors of the present application found that due to the huge model size of the long pipeline, if the above calculation method for the near-field acoustic radiation problem is used to calculate the acoustic radiation of the entire long pipeline, the required calculation cost and time cost will be extremely huge and difficult to achieve in actual engineering applications. Therefore, for the far-field acoustic radiation problem of the long pipeline, starting from the near-field acoustic radiation results obtained by the acoustic finite element method, the ray tracing method is used to obtain the acoustic radiation results of the long pipeline. Specifically, based on the near-field acoustic radiation results (near-field acoustic boundary sound power information), the sound source conversion and the acoustic boundary condition setting are performed, and the ray tracing method is used to obtain the acoustic radiation results of the long pipeline.

[0064] In summary, the present application constructs a coupled simulation strategy for aeroacoustics and duct acoustics, and forms a coupled calculation method to realize the simulation of noise generation and propagation in a duct. This method requires dividing the sound source generation area and the sound radiation area, that is, first calculating the corresponding unsteady flow field by the CFD method, then extracting and transforming the corresponding equivalent sound source part from the acoustic perspective, and radiating it through the sound radiation area, so as to combine the sound source generation area and the sound radiation area.

[0065] Specifically, in the embodiment of the present application, the CFD method (DES method or LES method) is used to perform transient simulation on the unsteady flow field around the pipeline train to obtain the flow field information in the time domain. The acoustic analogy method based on the Mohring theory is used to transform the flow field information in the time domain into the sound source information in the time domain, completing the conversion of the aeroacoustic source. The sound source in the time domain is transformed into the sound source in the frequency domain through Fourier transform, so as to obtain the surface sound source on the train surface and the volume sound source information of the flow field around the train. Then, the surface sound source and the volume sound source are respectively loaded onto the acoustic grid to complete the one-way flow field-acoustic field coupling and perform the acoustic response analysis in the frequency domain.

[0066] According to the characteristics of the longitudinal scale of the pipeline and the scale of the simulation calculation, etc., the present application constructs the coupled simulation strategy for aeroacoustics and duct acoustics based on the near-field sound radiation problem and the far-field sound radiation problem respectively. For the near-field sound radiation problem, the finite element method based on the wave acoustics theory is used for sound radiation calculation. For the far-field sound radiation problem of a long pipeline, starting from the near-field sound radiation results obtained by the acoustic finite element method, the ray tracing method is used to obtain the sound radiation results of the long pipeline.

[0067] It should be understood that although the steps in the flowchart are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover, at least a part of the steps in the figure may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed alternately or alternately with at least a part of other steps or sub-steps or stages of other steps.

[0068] Please refer to Figure 3 , an embodiment of the present application provides an acoustic simulation device, including an unsteady calculation module 10, a sound source conversion module 20, and a coupled calculation module 30; wherein,

[0069] The unsteady calculation module 10 is used to perform unsteady calculation of the flow field in the operating environment of the pipeline maglev train by means of CFD method, and collect the time-domain information of the flow field when the unsteady flow field reaches the statistical steady state;

[0070] The sound source conversion module 20 is used to convert the time-domain information of the flow field into the sound source information in the time domain by acoustic analogy calculation, and convert the sound source information in the time domain into the sound source information in the frequency domain by Fourier transform;

[0071] The coupling calculation module 30 is used to obtain the near-field sound radiation characteristics through acoustic finite element calculation according to the sound source information in the frequency domain, so as to complete the flow field-acoustic field coupling simulation calculation.

[0072] For the specific limitations of the above acoustic simulation device, reference can be made to the limitations of the acoustic simulation method in the above text, which will not be elaborated here. Each module in the above acoustic simulation device can be implemented in whole or in part by software, hardware and their combination. The above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or stored in the memory in the computer device in the form of software, so as to facilitate the processor to call and execute the operations corresponding to the above modules.

[0073] In one embodiment, a computer device is provided, and the internal structure diagram of the computer device can be as Figure 4 shown. The computer device includes a processor, a memory, a network interface and a database connected by a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, it implements an acoustic simulation method as described above. It includes: a memory and a processor, the memory stores a computer program, and when the processor executes the computer program, it implements any step in the above acoustic simulation method.

[0074] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by the processor, it can implement any step in the above acoustic simulation method.

[0075] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of the present application can be implemented in various computer languages, for example, C language, VHDL language, Verilog language, object-oriented programming language Java, and interpreted scripting language JavaScript, etc.

[0076] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, as well as the combination of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0077] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing devices to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means, and the instruction means implements the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0078] These computer program instructions can also be loaded onto a computer or other programmable data processing devices, such that a series of operation steps are executed on the computer or other programmable devices to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable devices provide steps for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0079] Although the preferred embodiments of the present application have been described, those skilled in the art can make additional changes and modifications once they know the basic creative concepts. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications falling within the scope of the present application.

[0080] Obviously, those skilled in the art can make various changes and modifications to this application without departing from the spirit and scope of this application. Thus, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalent technologies, this application is also intended to include these changes and modifications.

Claims

1. An acoustic simulation method, characterized in that, Including: Performing unsteady calculation of the flow field for the operating environment of the pipeline maglev train by the CFD method, and collecting the time-domain information of the flow field when the unsteady flow field reaches the statistical steady state; Converting the time-domain information of the flow field into the sound source information in the time domain by acoustic analogy calculation, and converting the sound source information in the time domain into the sound source information in the frequency domain by Fourier transform; Obtaining the near-field sound radiation characteristics through acoustic finite element calculation according to the sound source information in the frequency domain to complete the flow field-acoustic field coupling simulation calculation.

2. The acoustic simulation method according to claim 1, wherein The step of performing unsteady calculation of the flow field for the operating environment of the pipeline maglev train by the CFD method and collecting the time-domain information of the flow field when the unsteady flow field reaches the statistical steady state further includes: Dividing the sound source generation area and the sound radiation area, and determining the grid scale and time scale of the sound source generation area according to the highest frequency required for near-field sound source capture to perform unsteady calculation of the flow field.

3. The acoustic simulation method according to claim 2, wherein The step of performing unsteady calculation of the flow field for the operating environment of the pipeline maglev train by the CFD method and collecting the time-domain information of the flow field when the unsteady flow field reaches the statistical steady state further includes: Refining the grid of the wake area of the pipeline maglev train to capture the shock wave reflection phenomenon in the wake area.

4. The acoustic simulation method according to claim 3, wherein The step of performing unsteady calculation of the flow field for the operating environment of the pipeline maglev train by the CFD method and collecting the time-domain information of the flow field when the unsteady flow field reaches the statistical steady state further includes: Performing steady calculation by the RANS method as the initial field for unsteady calculation, and performing unsteady calculation by any one of the LES method and the DES method.

5. The acoustic simulation method according to any one of claims 1-4, characterized in that, The step of converting the time-domain information of the flow field into the sound source information in the time domain by acoustic analogy calculation and converting the sound source information in the time domain into the sound source information in the frequency domain by Fourier transform further includes: Converting the time-domain information of the flow field into the sound source information in the time domain by the acoustic analogy method based on Mohring theory to complete the conversion of the aerodynamic noise source.

6. The acoustic simulation method according to claim 5, characterized in that, The step of obtaining the near-field sound radiation characteristics through acoustic finite element calculation according to the sound source information in the frequency domain to complete the flow field-acoustic field coupling simulation calculation further includes: Obtaining the surface sound source on the surface of the pipeline maglev train and the volume sound source of the surrounding flow field according to the Fourier transform result, loading the surface sound source and the volume sound source into the acoustic grid of the near-field sound radiation respectively, and performing the acoustic response analysis and solution in the frequency domain to perform the flow field-acoustic field coupling simulation calculation.

7. The acoustic simulation method according to claim 6, wherein The step of obtaining the near-field sound radiation characteristics through acoustic finite element calculation according to the sound source information in the frequency domain to complete the flow field-acoustic field coupling simulation calculation further includes: Performing sound source conversion and setting of acoustic boundary conditions according to the near-field sound radiation characteristics, and obtaining the far-field sound radiation characteristics by the sound ray tracing method.

8. An acoustic simulation device, characterized in that, Including an unsteady calculation module, a sound source conversion module and a coupling calculation module; wherein, The unsteady calculation module is used for performing unsteady calculation of the flow field for the operating environment of the pipeline maglev train by the CFD method, and collecting the time-domain information of the flow field when the unsteady flow field reaches the statistical steady state; A sound source conversion module, configured to convert the time-domain information of the flow field into sound source information in the time domain through acoustic analogy calculation, and convert the sound source information in the time domain into sound source information in the frequency domain through Fourier transform; A coupling calculation module, configured to obtain the near-field acoustic radiation characteristics through acoustic finite element calculation according to the sound source information in the frequency domain, so as to complete the flow field-acoustic field coupling simulation calculation.

9. A computer device, characterized in that, Comprising: A memory; A processor; And A computer program; Wherein, the computer program is stored in the memory and is configured to be executed by the processor to implement the method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, A computer program is stored thereon; the computer program is executed by a processor to implement the method according to any one of claims 1-7.

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