Rapid calculation method and system for calculating cabin sound excitation vibration noise in combination with multiple software

Abstract

The invention belongs to the technical field of vibration and noise of structures, and discloses a rapid calculation method and system for calculating vibration noise of an acoustic excitation cabin by combining multiple software. According to the method, sound cavity wall surface pressure data of each frequency under internal sound excitation are obtained through Comsol, and the data are processed into cabin structure wall surface node pressure data under each frequency. And an Abaqus fluid-solid coupling model is established, the wall surface of the shell is coupled with an external water area, proposed node pressure data is applied to the wall surface of the cabin structure as a pressure load, and the vibration response of the cabin structure at each frequency is analyzed and calculated through steady-state dynamics. And importing the obtained vibration response data into Virtual Lab software, mapping a displacement response result to a water acoustic grid, and calculating a vibration noise result of the underwater cabin structure through a boundary element module.

Description

Technical Field

[0001] The present invention belongs to the technical field of structural vibration and noise, and particularly relates to a fast calculation method and system for jointly calculating the acoustic excitation vibration and noise of a cabin by using multiple software. Background Technique

[0002] The stealth performance of a submarine is the key to supporting it to complete a series of strategic tasks, and the magnitude of underwater radiated noise is an important factor determining the stealth performance of the ship. Mechanical noise is the main noise source affecting the low-speed navigation of underwater ships. Mechanical noise is transmitted to the hull through three channels, thereby causing underwater radiated noise. One is that the vibration of mechanical equipment is transmitted to the hull through the internal structure. The second is that the vibration of mechanical equipment is transmitted to the hull through the connected pipelines. The third is that the mechanical equipment vibration generates air noise to directly excite the hull. With the development and application of quiet electro-mechanical equipment and vibration reduction and isolation technologies, the transmission paths of mechanical noise through the internal structure and through the connected pipelines have been effectively controlled. Therefore, the research and control of underwater radiated noise caused by the direct excitation of the hull by cabin air noise are very important.

[0003] At present, the finite element method for acoustic excitation cabin vibration and noise mainly uses Comsol software for calculation. Through multi-physics fields, fluid-structure interaction is constructed, and acoustic excitation is applied for harmonic response analysis. However, when Comsol software has a huge number of calculation grids and a complex structural model, especially when it comes to fluid-structure interaction calculation conditions, the calculation speed of harmonic response analysis is slow and the efficiency is low. Abaqus software has an advantage in calculation speed, but it cannot apply point source excitation and lacks means for calculating vibration and noise. This patent combines the advantages of various software. By virtue of the convenience of applying point source by Comsol software and the rapidity of calculating structural fluid-structure interaction by Abaqus, and at the same time using the superiority of calculating structural vibration and noise by the boundary element method in Virtual Lab, a fast calculation method for jointly calculating acoustic excitation cabin vibration and noise by using multiple software is developed, providing support for the structural optimization and vibration reduction and noise reduction of underwater vehicles.

[0004] Through the above analysis, the problems and defects existing in the prior art are as follows:

[0005] Low calculation efficiency: When dealing with complex structures and large-scale grids, especially involving fluid-structure interaction calculations, the calculation speed of existing methods is slow and the efficiency is not high.

[0006] Functional limitations: Some software has functional defects in applying acoustic excitation and calculating vibration and noise, and it is difficult to meet comprehensive analysis requirements.

[0007] Lack of comprehensive method: At present, there is a lack of a calculation method that can integrate the advantages of multiple software to improve calculation efficiency and accuracy and meet the analysis requirements under complex working conditions. Summary of the Invention

[0008] In view of the problems existing in the prior art, the present invention provides a fast calculation method and system for jointly calculating the vibration noise of a sound-excited chamber by multiple software.

[0009] The present invention is implemented as follows. A fast calculation method and system for jointly calculating the vibration noise of a sound-excited chamber by multiple software includes:

[0010] Step 1: Use Comsol software to obtain the acoustic cavity harmonic response data under sound excitation and obtain the acoustic cavity wall pressure data.

[0011] Step 2: Derive the acoustic cavity wall pressure data of each node according to the structural grid node coordinates, and process the obtained acoustic cavity wall pressure data.

[0012] Step 3: Set the fluid-structure interaction for the water body and the structural grid in Abaqus software, interpolate and load the acoustic cavity wall pressure data, and calculate the underwater chamber structure frequency response data through steady-state dynamic analysis.

[0013] Step 4: Import the obtained frequency response data into Virtual Lab software and analyze the vibration noise of the chamber structure through the direct boundary element module.

[0014] Further, the method of Step 1 is as follows:

[0015] Establish an air acoustic cavity grid model in Comsol software, set the point sound source and boundary conditions, calculate the grid size according to the calculated frequency range, divide the grid according to 1 / 6 of the acoustic wave wavelength, and add a frequency domain calculation study; after completion of the calculation, obtain the acoustic cavity wall pressure data.

[0016] Further, the method of Step 2 is as follows: Establish a structural grid model, extract the structural grid node data, which contains the coordinate information of each node; import the structural grid node coordinate data as a data set into Comsol software, export the total data of the acoustic cavity wall pressure of each node at each frequency in the results, divide the total data into multiple groups according to frequency, and name each group of data according to the frequency point where the group of data is located.

[0017] Further, the method of Step 3 is as follows: Establish a structural grid and water body grid model, divide the structure and the water body into structural grids and acoustic grids respectively, and the grid division principle is 1 / 6 of the structural bending wave wavelength and 1 / 6 of the acoustic wave wavelength; import the divided structural grid and water body acoustic grid models into Abaqus, and assign the structural material properties and fluid acoustic properties respectively; establish a Tie interaction between the structural grid and the acoustic grid to form a fluid-structure interaction, set the boundary conditions according to the working conditions, and complete the establishment of the fluid-structure interaction finite element model.

[0018] Further, the method of step 3 further includes: obtaining the structural wall frequency pressure load through grouped loading of the Abaqus script file in step 2, using a loop command to obtain multiple frequency-point pressure loads and the corresponding analysis steps for each frequency point, and finally obtaining the pressure load corresponding to the corresponding frequency point and the corresponding analysis step; the loading method of the wall pressure is interpolation of grid nodes in the Abaqus analysis field; performing a steady-state dynamic analysis on the fluid-structure interaction model, submitting the calculation, and obtaining the underwater cabin structure frequency response data at each frequency.

[0019] Further, the method of step 4 is as follows: Establish an underwater acoustic envelope surface of the water body grid, which is manifested as a layer of shell elements enveloping the surface of the structural grid, and acoustic properties need to be assigned and the envelope surface is in a closed state; import the obtained underwater cabin structure frequency response odb result file and the underwater acoustic grid envelope surface into the Virtual Lab software, enter the acoustic boundary element module, set the grid types to the structural grid type and the acoustic grid type respectively, set the field point position according to the calculated working conditions, insert the pre-processing of the acoustic grid, map the structural grid frequency response data to the acoustic grid envelope surface, insert the acoustic response analysis, submit the calculation, and obtain the underwater cabin structure acoustic radiation data.

[0020] Another object of the present invention is to provide a fast calculation method and system for jointly calculating the vibration and noise of a cabin under acoustic excitation, including:

[0021] A pressure data acquisition module, which is used to obtain the acoustic cavity harmonic response data under acoustic excitation by using Comsol software and obtain the acoustic cavity wall pressure data;

[0022] A data processing module, which is used to export the acoustic cavity wall pressure data of each node according to the structural grid node coordinates and process the obtained acoustic cavity wall pressure data;

[0023] A calculation module, which is used to set the fluid-structure interaction for the water body and the structural grid in Abaqus software, interpolate and load the acoustic cavity wall pressure data, and calculate the underwater cabin structure frequency response data through steady-state dynamic analysis;

[0024] An import module, which is used to import the obtained frequency response data into the Virtual Lab software to analyze the vibration and noise of the cabin structure through the direct boundary element module.

[0025] Another object of the present invention is to provide a computer device, which includes a memory and a processor. When the computer program stored in the memory is executed by the processor, the processor executes the steps of the finite element calculation method for the vibration response and acoustic radiation of the cabin structure.

[0026] Another object of the present invention is to provide a computer-readable storage medium storing a computer program, which when executed by a processor causes the processor to execute the steps of the finite element calculation method for the vibration response and acoustic radiation of the cabin structure.

[0027] Another object of the present invention is to provide an information data processing terminal for implementing the fast calculation method and system for jointly calculating the acoustic excitation cabin vibration noise by multiple software.

[0028] Combined with the above technical solutions and solved technical problems, the advantages and positive effects of the technical solutions to be protected by the present invention are as follows:

[0029] First, the present invention obtains the acoustic cavity wall pressure data at each frequency under acoustic excitation through Comsol, and processes the data into the node pressure data of the cabin structure wall at each frequency. An Abaqus fluid-structure interaction model is established, and the shell wall is coupled with the external water area. The proposed node pressure data is applied as a pressure load to the cabin structure wall, and the vibration response of the cabin structure at each frequency is calculated through steady-state dynamics analysis. The obtained vibration response data is imported into the Virtual Lab software, and the displacement response results are mapped onto the underwater acoustic grid, and the underwater cabin structure vibration noise results are calculated through the boundary element module.

[0030] Second, the present invention provides a fast calculation method and system for jointly calculating the acoustic excitation cabin vibration noise by multiple software, mainly solving the problems of low accuracy of vibration noise analysis and low calculation efficiency in the prior art for complex fluid-structure interaction environments, especially the influence of acoustic excitation cabins on the vibration of the cabin structure and the external sound field in the underwater environment.

[0031] Problems in the prior art:

[0032] 1. Low calculation accuracy: Traditional methods usually cannot accurately calculate the vibration noise of cabin structures such as stiffened cabin structures and underwater submarine hulls in underwater environments. Especially in some cases, the error is large, resulting in the results being unable to be reliably applied to actual engineering.

[0033] 2. Complexity of fluid-structure interaction: Existing calculation methods have problems of unstable calculation and long time consumption when dealing with the fluid-structure interaction between water and structures, and cannot effectively simulate the real acoustic effects in underwater environments.

[0034] 3. Difficulty in dealing with multi-physical field coupling: The vibration noise problem involves multi-physical field coupling such as structural vibration and acoustic propagation. The prior art is difficult to consider the interaction between fluid and structure simultaneously. Especially under complex flow field conditions, the analysis results are not accurate enough.

[0035] Technical solutions and system structure of the present invention:

[0036] 1. Fluid-structure interaction finite element model: By establishing a coupled model of water body and cabin structure in Abaqus, meshing is carried out, and the Tie constraint of fluid-structure interaction is applied to ensure that the interaction between structural vibration and water body can be accurately simulated. The mesh is divided by 1 / 6 of the wavelength, ensuring the calculation accuracy of the model.

[0037] 2. Multi-software collaborative work:

[0038] Use Comsol to simulate the acoustic cavity harmonic response under a point sound source and obtain the acoustic cavity wall pressure data;

[0039] Load the acoustic cavity wall pressure data in Abaqus and perform steady-state dynamics analysis to obtain the vibration frequency response of the cabin structure;

[0040] Import the vibration response results into Virtual Lab software and analyze the vibration noise through the direct boundary element method, solving the acoustic problems of the cabin structure.

[0041] 3. Acoustic cavity and structure pressure mapping: By interpolating and mapping the acoustic cavity wall pressure data obtained in Comsol with the structural mesh nodes, the acoustic cavity pressure data can be accurately loaded into the structural model of Abaqus and grouped at different frequency points.

[0042] 4. Acoustic envelope surface modeling: Establish an acoustic mesh of the water body enveloping the cabin structure surface in Virtual Lab and perform vibration noise analysis. The acoustic mesh envelope surface is in a closed state to simulate the sound wave propagation path in the real environment, thus improving the accuracy of vibration noise calculation.

[0043] 5. Automatic parameter loading: By writing a script file, automatically load the pressure loads at different frequencies in Abaqus, and cyclically call the pressure data at each frequency point, reducing manual intervention and improving the calculation efficiency.

[0044] Significant technological progress:

[0045] 1. Improved calculation accuracy: Through fine mesh division and accurate fluid-structure interaction modeling, the present invention can better simulate the vibration noise problems in the underwater environment, especially providing stable and accurate calculation results even at low frequencies. This progress greatly improves the vibration noise analysis ability of the cabin structure in a complex fluid environment.

[0046] 2. Multi-software collaborative operation improves efficiency: By using the collaborative work of multiple professional software such as Comsol, Abaqus, and Virtual Lab, the complex coupling problems of acoustics and structure are decomposed and processed in stages, not only improving the calculation efficiency but also reducing the calculation pressure of a single software.

[0047] 3. Automatic processing: The automatic loading and cyclic calculation of multi-frequency loads are realized through scripts, reducing the uncertainty in manual operations and significantly improving the calculation efficiency. It is applicable to large-scale industrial application scenarios.

[0048] 4. Adapt to complex fluid-structure interaction environments: The model of this invention can handle complex fluid-structure interaction problems and is particularly suitable for applications in underwater engineering that require precise consideration of the interaction between fluids and structures, such as the design and optimization of submarines, ships, and underwater detectors.

[0049] 5. Applicable to multiple working conditions: The finite element calculation method of this invention is not limited to cabin structures and is applicable to a wider range of engineering structures. Especially in fields involving vibration and noise problems, such as aerospace and ocean engineering, effective engineering applications can be achieved through corresponding model adjustments. Description of the Drawings

[0050] Figure 1 is the flowchart of the fast calculation method and system for jointly calculating the acoustic excitation cabin vibration noise provided by the embodiment of the present invention using multiple software.

[0051] Figure 2 is the structural block diagram of the fast calculation method and system for jointly calculating the acoustic excitation cabin vibration noise provided by the embodiment of the present invention using multiple software.

[0052] Figure 3 is the overall flowchart of the fast calculation method and system for jointly calculating the acoustic excitation cabin vibration noise provided by the embodiment of the present invention using multiple software.

[0053] Figure 4 is the diagram of applying a harmonic point source excitation provided by the embodiment of the present invention.

[0054] Figure 5 is the verification diagram of the pressure contour map before interpolation (Comsol) and after interpolation (Abaqus) provided by the embodiment of the present invention.

[0055] Figure 6 is the schematic diagram of point selection provided by the embodiment of the present invention.

[0056] Figure 7 is the frequency-pressure curve diagram at the wall surface provided by the embodiment of the present invention.

[0057] Figure 8 is the mean square vibration velocity level diagram provided by the embodiment of the present invention.

[0058] Figure 9 is the sound power level diagram provided by the embodiment of the present invention.

[0059] Figure 10 is the sound pressure level diagram provided by the embodiment of the present invention. Detailed Embodiments

[0060] In order to make the objectives, technical solutions and advantages of the present invention more clear and understandable, the present invention will be further described in detail below in conjunction with embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0061] As Figure 1 shown, a fast calculation method and system for jointly calculating the vibration noise of a sound-excited chamber by multiple software provided by an embodiment of the present invention includes the following steps:

[0062] S101: Use Comsol software to perform acoustic cavity harmonic response data under acoustic excitation to obtain acoustic cavity wall pressure data;

[0063] S102: Derive the acoustic cavity wall pressure data of each node according to the structural grid node coordinates, and process the obtained acoustic cavity wall pressure data;

[0064] S103: Set fluid-structure interaction for the water body and the structural grid in Abaqus software, interpolate and load the acoustic cavity wall pressure data, and calculate the underwater chamber structure frequency response data through steady-state dynamics analysis;

[0065] S104: Import the obtained frequency response data into Virtual Lab software to analyze the vibration noise of the chamber structure through the direct boundary element module.

[0066] The method of S101 provided by the embodiment of the present invention is as follows:

[0067] Establish an air acoustic cavity grid model in Comsol software, set the point sound source and boundary conditions, calculate the grid size according to the calculated frequency range, divide the grid according to 1 / 6 of the acoustic wave wavelength, and add a frequency domain calculation study; after the calculation is completed, obtain the acoustic cavity wall pressure data.

[0068] The method of S102 provided by the embodiment of the present invention is as follows: Establish a structural grid model, extract the structural grid node data, and this data contains the coordinate information of each node; import the structural grid node coordinate data as a data set into Comsol software, and export the total data of the acoustic cavity wall pressure at each node at each frequency in the results, and divide the total data into multiple groups of data according to the frequency, and each group of data is named according to the frequency point where the group of data is located.

[0069] The S103 method provided by the embodiment of the present invention is as follows: Establish a structural grid and a water body grid model, divide the structure and the water body into structural grids and acoustic grids respectively, and the grid division principle is 1 / 6 of the structural bending wave wavelength and 1 / 6 of the acoustic wave wavelength; Import the divided structural grid and water body acoustic grid models into Abaqus, and endow the structural material properties and fluid acoustic properties respectively; Establish a Tie interaction between the structural grid and the acoustic grid to form a fluid-structure coupling, set boundary conditions according to the working conditions, and complete the establishment of the fluid-structure coupling finite element model.

[0070] The S103 method provided by the embodiment of the present invention further includes: By grouping and loading the structural wall surface frequency pressure load obtained from the Abaqus script file of S102, using a loop command to obtain multiple frequency point pressure loads and the analysis step corresponding to the frequency point, and finally making the pressure load corresponding to the corresponding frequency point and the corresponding analysis step; The loading method of the wall pressure is grid node interpolation in the Abaqus analysis field; Perform a steady-state dynamics analysis on the fluid-structure coupling model, submit the calculation, and obtain the underwater cabin structure frequency response data at each frequency.

[0071] The S104 method provided by the embodiment of the present invention is as follows: Establish an acoustic envelope surface of the water body grid, which is manifested as a layer of shell elements enveloping the surface of the structural grid, and it is necessary to endow acoustic properties and the envelope surface is in a closed state; Import the obtained underwater cabin structure frequency response odb result file and the water body acoustic grid envelope surface into the Virtual Lab software, enter the acoustic boundary element module, set the grid types to the structural grid type and the acoustic grid type respectively, set the field point position according to the calculated working conditions, insert the acoustic grid pre-processing, map the structural grid frequency response data to the acoustic grid envelope surface, insert the acoustic response analysis, submit the calculation, and obtain the underwater cabin structure vibration and noise data.

[0072] As Figure 2 shown, a fast calculation method and system for jointly calculating the vibration and noise of a sound-excited cabin using multiple software provided by the embodiment of the present invention includes:

[0073] A pressure data acquisition module, which is used to obtain the acoustic cavity harmonic response data under sound excitation by using Comsol software and obtain the acoustic cavity wall surface pressure data;

[0074] A data processing module, which is used to export the acoustic cavity wall surface pressure data of each node according to the structural grid node coordinates and process the obtained acoustic cavity wall surface pressure data;

[0075] A calculation module, which is used to set up a fluid-structure coupling for the water body and the structural grid in Abaqus software, interpolate and load the acoustic cavity wall surface pressure data, and calculate the underwater cabin structure frequency response data through steady-state dynamics analysis;

[0076] An import module for importing the obtained frequency response data into the Virtual Lab software to analyze the vibration and noise of the cabin structure through the direct boundary element module.

[0077] Another object of the present invention is to provide a computer device, the computer device includes a memory and a processor, the memory stores a computer program, when the computer program is executed by the processor, the processor executes the steps of the fast calculation method and system for jointly calculating the acoustic excitation of the cabin vibration and noise.

[0078] Another object of the present invention is to provide a computer-readable storage medium storing a computer program, when the computer program is executed by a processor, the processor executes the steps of the fast calculation method and system for jointly calculating the acoustic excitation of the cabin vibration and noise.

[0079] Another object of the present invention is to provide an information data processing terminal, the information data processing terminal is used to implement the fast calculation method and system for jointly calculating the acoustic excitation of the cabin vibration and noise.

[0080] Specific implementation of the present invention:

[0081] As Figure 3 shown, the overall flowchart of a fast calculation method and system for jointly calculating the acoustic excitation of the cabin vibration and noise provided by the present invention.

[0082] Geometric dimensions of the cabin structure: The length L of the shell is 1.625 m, the radius R is 0.44 m, the shell thickness is 0.004 m, and rectangular outer ring ribs with a size of 0.034 m × 0.003 m are uniformly arranged longitudinally along the cabin structure, and the rib spacing is 0.0625 m. The materials of the cabin structure body and the outer ring ribs are both steel, and the material parameters are: density is 7850 kg / m3, Young's modulus is 2.1×1011 N / m2, Poisson's ratio is 0.3, and the structural loss factor is 0.01, where the structural loss factor is the structural loss factor composed of the internal friction of the material of the structural subsystem itself. Both ends of the cabin structure are set as simply supported boundary conditions.

[0083] When calculating the structural vibration and sound radiation under acoustic excitation, the load applied is a harmonic point source excitation at (0, R / 2, L / 3.5) Figure 4 , and the amplitude of the point source is that the sound pressure amplitude at a distance of 1 m from the sound source in the free field is 1 Pa.

[0084] Verification of the pressure nephogram before interpolation (Comsol) and after interpolation (Abaqus) Figure 5

[0085] Through Figure 5 It can be seen that the pressure cloud interpolated from the Comsol software to the Abaqus softwareFigure 1 The interpolation results are in good agreement. By extracting the frequency-pressure diagram at several points on the cavity wall, we can also see the consistency of the interpolation results from the two software. This verifies the correctness of Comsol's process for extracting the cavity surface pressure and interpolating it to the Abaqus structure, with a pressure reference level of 2e-5.

[0086] Point selection instructions Figure 6 ;

[0087] Frequency-pressure curve at the wall Figure 7 ;

[0088] Next, we verified the consistency of the two methods for structural mean square vibration velocity and acoustic radiation. The calculation frequency range was 5 Hz to 600 Hz, with a 5 Hz interval. When calculating the mean square velocity level and radiated sound power level, the reference values for mean square vibration velocity were 1 × 10⁻⁹ m / s, and for radiated sound power, 1 × 10⁻⁹ W. The finite element models in both software programs had the same number of structural meshes, 9,360. The total number of meshes in the Comsol finite element model was 205,800, while the total number of meshes in the Abaqus finite element model was 218,647.

[0089] Mean square velocity level Figure 8 ;

[0090] In the mean square velocity level, the overall curve trend is well consistent, with missing peaks near 65 Hz and 210 Hz. This is due to the difference in fluid-structure coupling between the two software and the different beam element algorithms at the ribs.

[0091] Sound power level Figure 9 ;

[0092] The sound pressure at the field point is calculated at a point 50m radially from the geometric center of the cabin structure. The reference sound pressure level is 1e-6.

[0093] sound pressure level Figure 10 ;

[0094] It can be seen that the sound power level and sound pressure level results obtained by decoupling calculation are in good agreement with the sound power level and sound pressure level result curves calculated by Comsol software. The sound power and sound pressure level amplitudes differ by 3-5dB at low frequencies, and the amplitude and peak results are in good agreement after 150Hz. It can be seen that the structural vibration and sound radiation result data obtained by decoupling calculation are in good agreement. It is concluded that when the internal sound field is air, the coupling calculation with the rigid cabin structure under acoustic excitation has little effect on the vibration and noise of the underwater structure. Therefore, the underwater cabin structure can be decoupled and calculated, and the calculation speed of the joint simulation is greatly improved compared with Comsol for structures with complex geometric models and a large number of grids.

[0095] Example 1: Vibration and Noise Analysis of Underwater Structures in Ocean Engineering

[0096] In ocean engineering, the vibration and noise of underwater equipment such as submarines, aircraft carriers, torpedoes, etc. are crucial performance indicators, especially when performing quiet operations in the marine environment. The vibration response of these devices will cause sound wave propagation and affect the acoustic environment of the surrounding sea area. The fast calculation method and system for jointly calculating the vibration and noise of a sound-excited chamber using multiple software of the present invention can be applied to the design and optimization of such underwater structures.

[0097] By establishing a finite element model of a submarine or other marine equipment, using the method of the present invention, combining the acoustic cavity pressure data generated by Comsol, loading it into Abaqus for vibration response analysis, and then performing vibration and noise analysis through Virtual Lab. The vibration and noise characteristics of the equipment under different depths and different operating conditions can be accurately calculated. These analysis results can help designers optimize the equipment structure, reduce underwater noise, and reduce the interference of the equipment on marine organisms and its own detection equipment, thereby improving the concealment and safety of underwater equipment.

[0098] Through the method of the present invention, a finite element model of an engine or an aircraft airframe can be established to simulate the structural response under vibration. Using Abaqus to perform steady-state dynamic analysis on the structure, combining with Virtual Lab for vibration and noise analysis, the vibration response and the generated sound data can be obtained. These data can be used to optimize the airframe design, reduce the noise caused by vibration, and improve the structural reliability and flight comfort of the aircraft. At the same time, by reducing the influence of sound radiation, the interference on the air and environment around the aircraft can also be reduced. It should be noted that the implementation mode of the present invention can be realized by hardware, software, or a combination of software and hardware. The hardware part can be realized using dedicated logic; the software part can be stored in a memory and executed by an appropriate instruction execution system, such as a microprocessor or dedicated design hardware. Those of ordinary skill in the art can understand that the above-mentioned devices and methods can be realized using computer-executable instructions and / or included in the processor control code. For example, such code is provided on a carrier medium such as a disk, CD, or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The devices and modules of the present invention can be realized by a hardware circuit of a programmable hardware device such as a very large scale integrated circuit or a gate array, a semiconductor such as a logic chip or a transistor, or a field programmable gate array or a programmable logic device, can also be realized by software executed by various types of processors, or can be realized by a combination of the above hardware circuits and software such as firmware.

[0099] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be covered within the protection scope of the present invention.

Claims

1. A fast calculation method and system for jointly calculating the vibration noise of a sound-excited chamber by multiple software, characterized in that, It includes the following steps: Step 1: Use Comsol software to obtain the acoustic cavity harmonic response data under acoustic excitation, and obtain the acoustic cavity wall pressure data; Step 2: Derive the acoustic cavity wall pressure data of each node according to the structural grid node coordinates, and process the obtained acoustic cavity wall pressure data; Step 3: Set up fluid-structure interaction for the water body and the structural grid in Abaqus software, interpolate and load the acoustic cavity wall pressure data, and calculate the underwater cabin structure frequency response data through steady-state dynamic analysis; Step 4: Import the obtained frequency response data into Virtual Lab software to analyze the vibration noise of the cabin structure through the direct boundary element module.

2. The rapid calculation method and system for jointly calculating the acoustic excitation chamber vibration noise by multiple software according to claim 1, characterized in that, The method of the above Step 1 is as follows: Establish an air acoustic cavity grid model in Comsol software, set the point sound source and boundary conditions, calculate the grid size according to the calculated frequency range, divide the grid according to 1 / 6 of the acoustic wave wavelength, and add a frequency domain calculation study; After the calculation is completed, the acoustic cavity wall pressure data is obtained.

3. The fast calculation method and system for jointly calculating the acoustic excitation chamber vibration noise by multiple software according to claim 1, characterized in that, The method of the above Step 2 is as follows: Establish a structural grid model, extract the structural grid node data, which contains the coordinate information of each node; import the structural grid node coordinate data as a data set into Comsol software, export the total data of the acoustic cavity wall pressure of each node at each frequency in the results, divide the total data into multiple groups according to the frequency, and name each group of data according to the frequency point where the group of data is located.

4. The rapid calculation method and system for jointly calculating the acoustic excitation chamber vibration noise by multiple software as claimed in claim 1, characterized in that The method of the above Step 3 is as follows: Establish a structural grid and a water body grid model, respectively divide the structural grid and the acoustic grid for the structure and the water body, and the grid division principle is 1 / 6 of the structural bending wave wavelength and 1 / 6 of the acoustic wave wavelength; import the divided structural grid and water body acoustic grid models into Abaqus, and respectively endow the structural material properties and the fluid acoustic properties; Establish a Tie interaction between the structural grid and the acoustic grid to form a fluid-structure interaction, set the boundary conditions according to the working conditions, and complete the establishment of the fluid-structure interaction finite element model.

5. The fast calculation method and system for jointly calculating the acoustic excitation chamber vibration noise by multiple software as described in claim 4, characterized in that, The method of the above Step 3 also includes: group and load the structural wall frequency pressure load obtained through the Abaqus script file in Step 2, use the loop command to obtain the pressure loads at multiple frequency points and the corresponding analysis steps at these frequency points, and finally make the pressure loads corresponding to the corresponding frequency points and the corresponding analysis steps; the loading method of the wall pressure is grid node interpolation in the Abaqus analysis field; perform steady-state dynamic analysis on this fluid-structure interaction model, submit the calculation, and obtain the underwater cabin structure frequency response data at each frequency.

6. The fast calculation method and system for jointly calculating the vibration noise of an acoustic excitation chamber by multiple software according to claim 1, characterized in that The method of the above Step 4 is as follows: Establish an acoustic envelope surface of the water body grid, which is manifested as a layer of shell elements enveloping the surface of the structural grid, and it is necessary to endow acoustic properties and the envelope surface is in a closed state; import the obtained underwater cabin structure frequency response odb result file and the water body acoustic grid envelope surface into Virtual Lab software, enter the acoustic boundary element module, set the grid types to the structural grid type and the acoustic grid type respectively, set the field point position according to the calculated working conditions, insert the acoustic grid preprocessing, map the structural grid frequency response data to the acoustic grid envelope surface, insert the acoustic response analysis, submit the calculation, and obtain the underwater cabin structure vibration noise data.

7. A fast calculation method and system for jointly calculating the vibration noise of a sound-excited chamber by multiple software as described in any one of claims 1-6, characterized in that, The rapid calculation method and system for jointly calculating the vibration noise of an acoustic excitation chamber by multiple software include: A pressure data acquisition module, which is used to obtain the acoustic cavity harmonic response data under acoustic excitation by using Comsol software, and acquire the pressure data of the acoustic cavity wall surface; A data processing module, which is used to derive the pressure data of the acoustic cavity wall surface of each node according to the structural grid node coordinates, and process the obtained pressure data of the acoustic cavity wall surface; A calculation module, which is used to set the fluid-structure coupling for the water body and the structural grid in Abaqus software, interpolate and load the pressure data of the acoustic cavity wall surface, and calculate the frequency response data of the underwater chamber structure through steady-state dynamic analysis; An import module, which is used to import the obtained frequency response data into Virtual Lab software to analyze the vibration noise of the chamber structure through the direct boundary element module.

8. A computer device, characterized in that, The computer device includes a memory and a processor. When the computer program stored in the memory is executed by the processor, the processor executes the steps of the rapid calculation method and system for jointly calculating the vibration noise of an acoustic excitation chamber by multiple software according to any one of claims 1-6.

9. A computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the processor executes the steps of the rapid calculation method and system for jointly calculating the vibration noise of an acoustic excitation chamber by multiple software according to any one of claims 1-6.

10. An information data processing terminal, characterized in that, The information data processing terminal is used to implement the rapid calculation method and system for jointly calculating the vibration noise of an acoustic excitation chamber by multiple software according to claim 7.

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