Hydrodynamic noise calculation method and system based on compressible-sponge layer coupling

Abstract

This invention discloses a method and system for calculating hydrodynamic noise based on compressible-sponge layer coupling. The method includes obtaining local static pressure and temperature parameters of the flow field; calculating the density distribution of the compressible multiphase flow based on these parameters; constructing a sponge layer region at the flow channel boundary and, in conjunction with boundary flow characteristic parameters, constructing momentum and mass source terms for the sponge layer region; establishing multiphase flow control equations considering fluid compressibility and sponge layer damping properties based on the density distribution of the compressible multiphase flow and the momentum and mass source terms of the sponge layer region; solving for the velocity, pressure, and temperature distributions of the multiphase flow field; and solving the multiphase flow control equations considering fluid compressibility and sponge layer damping properties using a computational fluid dynamics solver to obtain the hydrodynamic noise calculation results. This invention achieves the coupled analytical analysis of multiphase compressible flow structures and underwater radiated sound fields, improving the accuracy of calculating the generation and propagation process of hydrodynamic noise.

Description

Technical Field

[0001] This invention relates to the field of hydrodynamic noise technology, and in particular to a hydrodynamic noise calculation method, system, storage medium, and electronic device based on compressible-sponge layer coupling. Background Technology

[0002] Hydrodynamic noise is the underwater acoustic radiation phenomenon caused by irregular flow during the operation of underwater equipment. Its main sources include boundary layer pulsating pressure, multiphase turbulent structure, and hydrodynamic mechanisms such as cavitation effects. These phenomena typically exhibit significant nonlinearity, transientity, and flow-acoustic coupling characteristics, which can adversely affect the stealth performance of underwater equipment and the underwater ecological environment.

[0003] Numerical prediction of hydrodynamic noise has become an important technical means for the optimized design of underwater equipment due to its relatively low cost. However, existing numerical simulation methods for hydrodynamic noise mostly adopt a decoupled calculation approach between the flow field and the sound field. They typically obtain flow field information based on the assumption of incompressible flow and then calculate the radiated sound field through acoustic analogy methods. This type of method has certain limitations when dealing with multiphase compressible flow and complex boundary conditions, which restricts the accurate description of the generation and propagation process of hydrodynamic noise. Summary of the Invention

[0004] This invention provides a hydrodynamic noise calculation method, system, storage medium, and electronic device based on compressible-sponge layer coupling, which can improve the calculation accuracy of hydrodynamic noise and realize a complete description of the hydrodynamic noise evolution process.

[0005] This invention provides a method for calculating hydrodynamic noise based on compressible-sponge layer coupling, comprising: Obtain the local static pressure and temperature parameters of the flow field, and calculate the density distribution of the compressible multiphase flow based on the local static pressure and temperature parameters of the flow field; Obtain boundary flow characteristic parameters, construct a sponge layer region at the flow channel boundary, and combine the boundary flow characteristic parameters to construct the momentum source term and mass source term of the sponge layer region; Based on the density distribution of compressible multiphase flow and the momentum and mass source terms of the sponge layer region, we establish the multiphase flow control equations that consider the fluid compressibility and the damping properties of the sponge layer, and solve for the velocity, pressure and temperature distributions of the multiphase flow field. The hydrodynamic noise calculation results are obtained by solving the multiphase flow control equations that consider the fluid compressibility and the damping properties of the sponge layer using a computational fluid dynamics solver.

[0006] Furthermore, according to the above-described hydrodynamic noise calculation method based on compressible-sponge layer coupling, the density distribution of the compressible multiphase flow is calculated based on the local static pressure of the flow field and the temperature parameters, including: Calculate the water density and gas density based on the local static pressure of the flow field and the temperature parameters. The density distribution of the compressed multiphase flow is calculated based on the density of the water and the density of the gas.

[0007] Furthermore, according to the above-described hydrodynamic noise calculation method based on compressible-sponge layer coupling, the density of the calculated water and the density of the gas are calculated using the following formula:

[0008]

[0009] in, and These are the densities of water and gas, respectively. For the local static pressure of the flow field, The local temperature of the flow field, and These represent the water density and water pressure under saturated conditions, respectively. and It is a constant. It is the gas constant; The density distribution of the compressible multiphase flow is updated using the following formula:

[0010] in, For the density distribution of compressible multiphase flow, This refers to the gas content.

[0011] Furthermore, according to the above-mentioned hydrodynamic noise calculation method based on compressible-sponge layer coupling, the boundary flow characteristic parameters include characteristic pressure and characteristic velocity.

[0012] Furthermore, according to the above-described hydrodynamic noise calculation method based on compressible-sponge layer coupling, the momentum source term and mass source term of the sponge layer region are expressed by the following formula:

[0013]

[0014] in, For the momentum source term of the sponge layer region, For the mass source term of the sponge layer region, inf represents the boundary value of the inlet and outlet. For far-field pressure, For far-field velocity, For local speed, The distance to the import / export boundary. Here is the damping coefficient; the formula for calculating the damping coefficient is:

[0015] in, The length of the sponge layer, For time step.

[0016] Furthermore, according to the above-mentioned hydrodynamic noise calculation method based on compressible-sponge layer coupling, the multiphase flow control equation considering fluid compressibility and sponge layer damping properties is as follows:

[0017]

[0018]

[0019]

[0020] in, For time, For surface tension, For stress tensor, and For water evaporation and condensation source terms, For total fluid energy, For enthalpy, For effective thermal conductivity, For the velocity distribution of a multiphase flow field, For the pressure distribution of a multiphase flow field, This represents the temperature distribution of a multiphase flow field.

[0021] Furthermore, according to the above-mentioned hydrodynamic noise calculation method based on compressible-sponge layer coupling, the multiphase flow control equations considering fluid compressibility and sponge layer damping properties are solved using a computational fluid dynamics solver to obtain the hydrodynamic noise calculation results, including: The multiphase flow control equations, which consider the compressibility of the fluid and the damping properties of the sponge layer, are written into a C language file, compiled using Visual Studio, and then solved in the computational fluid dynamics solver to obtain the hydrodynamic noise calculation results.

[0022] The present invention also provides a hydrodynamic noise calculation system based on compressible-sponge layer coupling, comprising: A compressible multiphase flow density distribution calculation module is used to obtain the local static pressure and temperature parameters of the flow field, and calculate the density distribution of the compressible multiphase flow based on the local static pressure and temperature parameters of the flow field. The momentum and mass source term construction module is used to obtain boundary flow characteristic parameters, construct a sponge layer region at the flow channel boundary, and construct the momentum and mass source terms of the sponge layer region in combination with the boundary flow characteristic parameters. The multiphase flow control equation construction module is used to establish multiphase flow control equations that consider fluid compressibility and sponge layer damping properties based on the density distribution of compressible multiphase flow and the momentum and mass source terms of the sponge layer region, and solve for the velocity distribution, pressure distribution and temperature distribution of the multiphase flow field. The hydrodynamic noise solution module is used to solve the multiphase flow control equations that consider the compressibility of the fluid and the damping properties of the sponge layer through a computational fluid dynamics solver, and obtain the hydrodynamic noise calculation results.

[0023] The present invention also provides a computer-readable storage medium storing a plurality of instructions adapted for loading by a processor to execute any of the above-described hydrodynamic noise calculation methods based on compressible-sponge layer coupling.

[0024] The present invention also provides an electronic device, including a processor and a memory, wherein the processor is electrically connected to the memory, the memory is used to store instructions and data, and the processor is used in the steps of the hydrodynamic noise calculation method based on compressible-sponge layer coupling described in any of the preceding claims.

[0025] This invention provides a method, system, storage medium, and electronic device for calculating hydrodynamic noise based on compressible-sponge layer coupling. First, the density distribution of compressible multiphase flow is calculated based on local static pressure and temperature parameters of the flow field. Second, a sponge layer region is constructed at the flow channel boundary, and momentum and mass source terms of the sponge layer region are constructed by combining boundary flow characteristic parameters. Multiphase flow control equations considering fluid compressibility and sponge layer damping properties are established, and the velocity, pressure, and temperature distributions of the multiphase flow field are solved. Finally, through secondary development, the compressible-sponge layer coupling model is embedded into a computational fluid dynamics solver to achieve coupled calculation of hydrodynamics and noise. This invention can accurately predict the hydrodynamic characteristics of compressible multiphase flow, effectively capture the complete process of hydrodynamic noise generation and propagation, and can also be used to quantitatively predict the hydrodynamic noise characteristics of underwater equipment, providing reliable numerical support for the research and development of engineering noise reduction technologies. Attached Figure Description

[0026] The technical solution and other beneficial effects of the present invention will become apparent from the following detailed description of specific embodiments of the invention, in conjunction with the accompanying drawings.

[0027] Figure 1 A flowchart of a hydrodynamic noise calculation method based on compressible-sponge layer coupling provided for embodiments of the present invention.

[0028] Figure 2 The embodiment of the present invention provides a schematic diagram of the computational domain for a hydrodynamic noise example.

[0029] Figure 3 A comparison chart of hydrodynamic noise calculation results and experimental results provided for embodiments of the present invention.

[0030] Figure 4 A schematic diagram of the structure of a hydrodynamic noise calculation system based on compressible-sponge layer coupling provided in an embodiment of the present invention.

[0031] Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0032] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0033] This invention provides a method, system, storage medium, and electronic device for calculating hydrodynamic noise based on compressible-sponge layer coupling. The hydrodynamic noise calculation system based on compressible-sponge layer coupling provided by this invention can be integrated into an electronic device, such as a terminal or server. The terminal can include tablet computers, laptops, personal computers (PCs), microprocessor boxes, or other devices.

[0034] Please see Figure 1 , Figure 1 The flowchart illustrates a hydrodynamic noise calculation method based on compressible-sponge layer coupling, provided in an embodiment of the present invention. This method, applied in electronic devices, includes the following steps: S1: Obtain the local static pressure and temperature parameters of the flow field, and calculate the density distribution of the compressible multiphase flow based on the local static pressure and temperature parameters of the flow field.

[0035] In one embodiment, step S1 includes the following steps: S11 calculates the water density and gas density based on the local static pressure and temperature parameters of the flow field.

[0036] Specifically, it is calculated using the following formula:

[0037]

[0038] in, and These are the densities of water and gas, respectively. For the local static pressure of the flow field, The local temperature of the flow field, and These are the water density and water pressure under saturated conditions, respectively (in one specific embodiment, the values ​​of water density and water pressure under saturated conditions are 998 kg / m3 and 2340 Pa). and It is a constant. Let be the gas constant. In one specific embodiment, the value of the gas constant is... .

[0039] S12, calculates the density distribution of the compressed multiphase flow based on the density of water and gas.

[0040] Specifically, it is calculated using the following formula:

[0041] in, For the density distribution of compressible multiphase flow, This refers to the gas content.

[0042] S2, obtain boundary flow characteristic parameters, construct a sponge layer region at the flow channel boundary, and construct the momentum source term and mass source term of the sponge layer region in combination with the boundary flow characteristic parameters.

[0043] Among them, the characteristic parameters of boundary flow include characteristic pressure and characteristic velocity.

[0044] Specifically, the momentum and mass source terms of the sponge layer region are represented by the following formula:

[0045]

[0046] in, For the momentum source term of the sponge layer region, For the mass source term of the sponge layer region, inf represents the boundary value of the inlet and outlet. For far-field pressure, For far-field velocity, For local speed, The distance to the import / export boundary. Here is the damping coefficient; the formula for calculating the damping coefficient is:

[0047] in, The length of the sponge layer, For time step.

[0048] S3. Based on the density distribution of compressible multiphase flow and the momentum and mass source terms of the sponge layer region, a multiphase flow control equation considering the fluid compressibility and the damping properties of the sponge layer is established, and the velocity distribution, pressure distribution and temperature distribution of the multiphase flow field are solved.

[0049] The governing equations for multiphase flow, considering both fluid compressibility and the damping properties of the sponge layer, are as follows:

[0050]

[0051]

[0052]

[0053] in, For time, For surface tension, For stress tensor, and For water evaporation and condensation source terms, For total fluid energy, For enthalpy, For effective thermal conductivity, For the velocity distribution of a multiphase flow field, For the velocity distribution of a multiphase flow field, This represents the temperature distribution of a multiphase flow field.

[0054] At each time step, by iteratively solving the multiphase flow control equations that take into account the fluid compressibility and the damping properties of the sponge layer, the velocity distribution, pressure distribution, and temperature distribution of the multiphase flow field can be obtained.

[0055] S4. The multiphase flow control equations considering fluid compressibility and sponge layer damping properties are solved using a computational fluid dynamics solver to obtain the hydrodynamic noise calculation results.

[0056] Step S4 includes: The multiphase flow control equations, which consider the compressibility of the fluid and the damping properties of the sponge layer, are written into a C language file, compiled using Visual Studio, and then solved in the computational fluid dynamics solver to obtain the hydrodynamic noise calculation results.

[0057] Specifically, the multiphase flow density field in step S1 The calculation formula, the momentum source term of the sponge layer region in step S2. With quality source items The calculation formula and the multiphase flow control equations considering fluid compressibility and sponge layer damping properties in step S3 are written into a C language file and compiled using Visual Studio. The solution is then called in the computational fluid dynamics solver.

[0058] Figure 2 The embodiment of this invention provides a schematic diagram of the computational domain for a hydrodynamic noise calculation example. In this example, the underwater device is a NACA0012 hydrofoil with an angle of attack of 7°, a channel length of 2 m, a height of 0.1 m, an incoming flow velocity of 11.04 m / s, and an outlet static pressure of 140 kPa.

[0059] In this embodiment of the invention, the finite volume method is used to discretize the governing equations; a high-quality hexahedral mesh is used to spatially discretize the computational domain, with a total mesh count of approximately 2 million. Velocity inlet and pressure outlet boundary conditions are used, and a sponge layer damping region is added. The computational domain walls are set as no-slip boundary conditions. The SIMPLEC algorithm is used to couple pressure and velocity, with a time step of 10⁻⁵ s. Figure 3 This is a comparison chart of the hydrodynamic noise calculation results and experimental results provided in the embodiments of the present invention. Figure 3 It can be seen that the hydrodynamic noise calculation results (black line) of this embodiment are in good agreement with the experimental hydrodynamic noise calculation results (red line), which proves the effectiveness of the hydrodynamic noise calculation method of this embodiment.

[0060] Based on the method described in the above embodiments, this embodiment will further describe it from the perspective of a hydrodynamic noise calculation system based on compressible-sponge layer coupling. Specifically, the hydrodynamic noise calculation system based on compressible-sponge layer coupling can be implemented as an independent entity or integrated into an electronic device. The electronic device can be a terminal, server, or other device. The terminal can include a tablet computer, a laptop computer, a personal computer (PC), a microprocessor box, or other devices.

[0061] Please see Figure 4 , Figure 4 This invention specifically describes a hydrodynamic noise calculation system based on compressible-sponge layer coupling, applicable to electronic devices. The system may include: A compressible multiphase flow density distribution calculation module is used to obtain the local static pressure and temperature parameters of the flow field, and calculate the density distribution of the compressible multiphase flow based on the local static pressure and temperature parameters of the flow field. The momentum and mass source term construction module is used to obtain boundary flow characteristic parameters, construct a sponge layer region at the flow channel boundary, and construct the momentum and mass source terms of the sponge layer region in combination with the boundary flow characteristic parameters. The multiphase flow control equation construction module is used to establish multiphase flow control equations that consider fluid compressibility and sponge layer damping properties based on the density distribution of compressible multiphase flow and the momentum and mass source terms of the sponge layer region, and solve for the velocity distribution, pressure distribution and temperature distribution of the multiphase flow field. The hydrodynamic noise solution module is used to solve the multiphase flow control equations that consider the compressibility of the fluid and the damping properties of the sponge layer through a computational fluid dynamics solver, and obtain the hydrodynamic noise calculation results.

[0062] In specific implementation, the above modules and / or units can be implemented as independent entities, or they can be arbitrarily combined and implemented as the same or several entities. For the specific implementation of the above modules and / or units, please refer to the previous method embodiments. For the specific beneficial effects that can be achieved, please also refer to the beneficial effects in the previous method embodiments, which will not be repeated here.

[0063] In addition, this embodiment of the invention also provides an electronic device, which may be a computer, tablet computer, or other similar device. This electronic device can implement the steps in any embodiment of the hydrodynamic noise calculation method based on compressible-sponge layer coupling provided in this embodiment of the invention. Therefore, it can achieve the beneficial effects achievable by any hydrodynamic noise calculation method based on compressible-sponge layer coupling provided in this embodiment of the invention, as detailed in the preceding embodiments, and will not be repeated here.

[0064] Figure 5 A specific structural block diagram of an electronic device provided in an embodiment of the present invention is shown. This electronic device can be used to implement the hydrodynamic noise calculation method based on compressible-sponge layer coupling provided in the above embodiments. The electronic device 500 can be a terminal, server, or other device. The terminal can include a tablet computer, laptop computer, personal computer (PC), microprocessor box, or other devices.

[0065] The memory 520 can be used to store software programs and modules, such as the program instructions / modules corresponding to those in the above embodiments. The processor 580 executes various functional applications and data processing by running the software programs and modules stored in the memory 520. The memory 520 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 520 may further include memory remotely located relative to the processor 580, and these remote memories can be connected to the electronic device 500 via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0066] The input unit 530 can be used to receive input numeric or character information, and to generate a keyboard and mouse related to user settings and function control. Display unit 540 can be used to display information input by the user or information provided to the user, as well as various graphical user interfaces, which can be composed of graphics, text, icons, video, and any combination thereof. Display unit 540 may include display panel 541, which may optionally be configured in the form of LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode), or other similar forms.

[0067] Electronic device 500, through transmission module 570 (e.g., Wi-Fi module), can help users receive requests, send information, etc., providing users with wireless broadband internet access. Although transmission module 570 is shown in the figure, it is understood that it is not an essential component of electronic device 500 and can be omitted as needed without changing the essence of the invention.

[0068] The processor 580 is the control center of the electronic device 500. It connects to various parts of the phone via various interfaces and lines, and performs various functions and processes data of the electronic device 500 by running or executing software programs and / or modules stored in the memory 520, and by calling data stored in the memory 520, thereby providing overall monitoring of the electronic device. Optionally, the processor 580 may include one or more processing cores; in some embodiments, the processor 580 may integrate an application processor and a modem processor, wherein the application processor mainly handles the operating system, user interface, and applications, and the modem processor mainly handles wireless communication. It is understood that the modem processor may also not be integrated into the processor 580.

[0069] Electronic device 500 also includes a power supply 590 (such as a battery) that supplies power to various components. In some embodiments, the power supply may be logically connected to processor 580 through a power management system, thereby enabling functions such as charging, discharging, and power consumption management through the power management system. The power supply 590 may also include one or more DC or AC power supplies, recharging systems, power fault detection circuits, power converters or inverters, power status indicators, and other arbitrary components.

[0070] Although not shown, the electronic device 500 also includes cameras (such as front-facing cameras and rear-facing cameras), Bluetooth modules, etc., which will not be described in detail here. Specifically, in this embodiment, the display unit of the electronic device is a touch screen display, and the mobile terminal also includes a memory and one or more programs, wherein one or more programs are stored in the memory and configured to be executed by one or more processors. One or more programs contain instructions for performing the following operations: Obtain the local static pressure and temperature parameters of the flow field, and calculate the density distribution of the compressible multiphase flow based on the local static pressure and temperature parameters of the flow field; Obtain boundary flow characteristic parameters, construct a sponge layer region at the flow channel boundary, and combine the boundary flow characteristic parameters to construct the momentum source term and mass source term of the sponge layer region; Based on the density distribution of compressible multiphase flow and the momentum and mass source terms of the sponge layer region, we establish the multiphase flow control equations that consider the fluid compressibility and the damping properties of the sponge layer, and solve for the velocity, pressure and temperature distributions of the multiphase flow field. The hydrodynamic noise calculation results are obtained by solving the multiphase flow control equations that consider the fluid compressibility and the damping properties of the sponge layer using a computational fluid dynamics solver.

[0071] In practice, the above modules can be implemented as independent entities or combined in any way to be implemented as the same or several entities. For the specific implementation of the above modules, please refer to the previous method implementation examples, which will not be repeated here.

[0072] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by instructions, or by instructions controlling related hardware. These instructions can be stored in a computer-readable storage medium and loaded and executed by a processor. Therefore, embodiments of the present invention provide a storage medium storing multiple instructions that can be loaded by a processor to execute the steps of any embodiment of the hydrodynamic noise calculation method based on compressible-sponge layer coupling provided by the present invention.

[0073] The computer-readable storage medium may include: read-only memory (ROM), random access memory (RAM), disk or optical disk, etc.

[0074] Since the instructions stored in the storage medium can execute the steps in any embodiment of the hydrodynamic noise calculation method based on compressible-sponge layer coupling provided in the embodiments of the present invention, the beneficial effects that any hydrodynamic noise calculation method based on compressible-sponge layer coupling provided in the embodiments of the present invention can achieve can be realized, as detailed in the preceding embodiments, and will not be repeated here.

[0075] The foregoing has provided a detailed description of a hydrodynamic noise calculation method, system, storage medium, and electronic device based on compressible-sponge layer coupling provided by embodiments of the present invention. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for calculating hydrodynamic noise based on compressible-sponge layer coupling, characterized in that, The method includes: Obtain the local static pressure and temperature parameters of the flow field, and calculate the density distribution of the compressible multiphase flow based on the local static pressure and temperature parameters of the flow field; Obtain boundary flow characteristic parameters, construct a sponge layer region at the flow channel boundary, and combine the boundary flow characteristic parameters to construct the momentum source term and mass source term of the sponge layer region; Based on the density distribution of compressible multiphase flow and the momentum and mass source terms of the sponge layer region, we establish the multiphase flow control equations that consider the fluid compressibility and the damping properties of the sponge layer, and solve for the velocity, pressure and temperature distributions of the multiphase flow field. The hydrodynamic noise calculation results are obtained by solving the multiphase flow control equations that consider the fluid compressibility and the damping properties of the sponge layer using a computational fluid dynamics solver.

2. The hydrodynamic noise calculation method based on compressible-sponge layer coupling according to claim 1, characterized in that, Based on the local static pressure of the flow field and the temperature parameters, the density distribution of the compressible multiphase flow is calculated, including: Calculate the water density and gas density based on the local static pressure of the flow field and the temperature parameters. The density distribution of the compressed multiphase flow is calculated based on the density of the water and the density of the gas.

3. The hydrodynamic noise calculation method based on compressible-sponge layer coupling according to claim 2, characterized in that, The density of the water and the density of the gas are calculated using the following formula: in, and These are the densities of water and gas, respectively. For the local static pressure of the flow field, The local temperature of the flow field, and These represent the water density and water pressure under saturated conditions, respectively. and It is a constant. It is the gas constant; The density distribution of the compressible multiphase flow is updated using the following formula: in, For the density distribution of compressible multiphase flow, This refers to the gas content.

4. The hydrodynamic noise calculation method based on compressible-sponge layer coupling according to claim 1, characterized in that, The boundary flow characteristic parameters include characteristic pressure and characteristic velocity.

5. The hydrodynamic noise calculation method based on compressible-sponge layer coupling according to claim 4, characterized in that, The momentum and mass source terms of the sponge layer region are expressed by the following formula: in, For the momentum source term of the sponge layer region, For the mass source term of the sponge layer region, inf represents the boundary value of the inlet and outlet. For far-field pressure, For far-field velocity, For local speed distribution, The distance to the import / export boundary. Here is the damping coefficient; the formula for calculating the damping coefficient is: in, The length of the sponge layer, For time step.

6. The hydrodynamic noise calculation method based on compressible-sponge layer coupling according to claim 1, characterized in that, The multiphase flow control equations considering fluid compressibility and sponge layer damping properties are as follows: in, For time, For surface tension, For stress tensor, and For water evaporation and condensation source terms, For total fluid energy, For enthalpy, For effective thermal conductivity, For local speed distribution, For the pressure distribution of a multiphase flow field, This represents the temperature distribution of a multiphase flow field.

7. The hydrodynamic noise calculation method based on compressible-sponge layer coupling according to claim 1, characterized in that, The multiphase flow control equations, considering fluid compressibility and sponge layer damping properties, were solved using a computational fluid dynamics solver to obtain hydrodynamic noise calculation results, including: The multiphase flow control equations, which consider the compressibility of the fluid and the damping properties of the sponge layer, are written into a C language file, compiled using Visual Studio, and then solved in the computational fluid dynamics solver to obtain the hydrodynamic noise calculation results.

8. A hydrodynamic noise calculation system based on compressible-sponge layer coupling, characterized in that, include: A compressible multiphase flow density distribution calculation module is used to obtain the local static pressure and temperature parameters of the flow field, and calculate the density distribution of the compressible multiphase flow based on the local static pressure and temperature parameters of the flow field. The momentum and mass source term construction module is used to obtain boundary flow characteristic parameters, construct a sponge layer region at the flow channel boundary, and construct the momentum and mass source terms of the sponge layer region in combination with the boundary flow characteristic parameters. The multiphase flow control equation construction module is used to establish multiphase flow control equations that consider fluid compressibility and sponge layer damping properties based on the density distribution of compressible multiphase flow and the momentum and mass source terms of the sponge layer region, and solve for the velocity distribution, pressure distribution and temperature distribution of the multiphase flow field. The hydrodynamic noise solution module is used to solve the multiphase flow control equations that consider the compressibility of the fluid and the damping properties of the sponge layer through a computational fluid dynamics solver, and obtain the hydrodynamic noise calculation results.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a plurality of instructions adapted to be loaded by a processor to execute the hydrodynamic noise calculation method based on compressible-sponge layer coupling as described in any one of claims 1 to 7.

10. An electronic device, characterized in that, It includes a processor and a memory, the processor being electrically connected to the memory, the memory being used to store instructions and data, and the processor being used to execute the steps in the hydrodynamic noise calculation method based on compressible-sponge layer coupling as described in any one of claims 1 to 7.

Images