Verification test device and method for radiation noise simulation algorithm

Abstract

The invention provides a verification test device and method for a radiation noise simulation algorithm, and belongs to the technical field of ship vibration noise control. The verification test device comprises a test model, an actuator, a vibration acceleration sensor, a hydrophone, a signal generator, a power amplifier, a data acquisition instrument and a computer; the actuator is arranged on the test model; the vibration acceleration sensors are distributed on the test model and are used for measuring the vibration response of the test model; the hydrophone is arranged in the water pool and is used for measuring radiation noise generated by vibration of the test model; and the data acquisition instrument and the computer are used for acquiring and processing data of the vibration acceleration sensor and the hydrophone, comparing target radiation noise with actually simulated radiation noise, and verifying the effectiveness of a radiation noise simulation algorithm. The effectiveness and correctness of a radiation noise simulation algorithm are verified, and the problem that the consistency and voiceprint similarity between an underwater radiation noise result simulated through structural actuation and a target spectrum are difficult to verify through an existing method is solved.

Description

Technical Field

[0001] This invention belongs to the field of ship vibration and noise control technology, specifically relating to a verification test device and method for radiated noise simulation algorithms. Background Technology

[0002] Ships generate radiated noise signals during navigation. These noises primarily originate from various rotating and reciprocating components on board, including mechanical noise, propeller noise, and hydrodynamic noise. In the field of underwater acoustic signal processing, ship radiated noise signals are a crucial information source for passive acoustic detection equipment, used for acoustic detection, identification, and target orientation, location, and tracking. Since it is impractical to use various types of real ships to generate the required noise, it is necessary to simulate ship radiated noise signals.

[0003] In the current technological development, underwater acoustic signal processing and computer technology are showing a trend of deep integration and continuous advancement. Researchers are dedicated to conducting in-depth and detailed research and analysis of the acoustic characteristics of underwater targets and the characteristics of the underwater environment. Leveraging the rich knowledge and data accumulated in this process, they can simulate the radiated noise generated by the target with high precision and high fidelity. This simulated radiated noise signal has already been widely and deeply applied in various research fields such as underwater target detection, localization, and identification, providing indispensable data support and technical means.

[0004] To ensure the accuracy and reliability of these radiated noise simulation algorithms, they must be verified using specialized experimental equipment. However, research on the verification of radiated noise simulation algorithms has revealed a current lack of verification experimental equipment and methods. Therefore, the accuracy of these algorithms cannot be guaranteed. Consequently, there is an urgent need for a verification experimental equipment and method to validate these radiated noise simulation algorithms.

[0005] Such a verification test setup provides a controlled experimental environment, enabling researchers to accurately test and evaluate the performance of different simulation algorithms, thereby optimizing the algorithms and improving the reliability of simulation results. Simulation of ship radiated noise not only helps in the study and analysis of ship acoustic characteristics but also plays a crucial role in ship design demonstration, simulation experiments, simulation training, and laboratory testing of sonar systems.

[0006] A literature search of existing technologies revealed that the main publicly available information related to this invention application includes: 1. A method for simulating the radiated noise of a surface target in a complex scenario (Patent No.: ZL201610389717.9); 2. A device and method for testing underwater radiated noise of a ship (Patent No.: ZL202411049049.6); 3. A method for simulating the radiated noise of a surface target (Patent No.: ZL201210080344.9).

[0007] Patent No. ZL201610389717.9 discloses a method for simulating surface target radiated noise in complex scenarios. This method overcomes the deficiencies of existing surface target radiated noise simulation technologies in terms of comprehensiveness and realism, but it does not provide experimental devices and methods for verifying the effectiveness of the radiated noise simulation method, which differs significantly from this patent. Patent No. ZL202411049049.6 discloses a ship underwater radiated noise testing device and method. This device solves the problem of insufficient signal-to-noise ratio in low-frequency tests under low sea states, but it cannot generate and verify radiated noise. Patent No. ZL201210080344.9 discloses a method for simulating surface target radiated noise. This method considers the dynamic characteristics of line spectrum noise when simulating surface target radiated noise, making the simulated noise more comprehensive, but it lacks verification methods for the simulated radiated noise, which differs significantly from this patent. Summary of the Invention

[0008] The purpose of this invention is to provide a verification test device and method for a radiation noise simulation algorithm, which solves the problems of existing methods that make it difficult to verify the consistency between the underwater radiation noise simulation results simulated by structural motion and the target spectrum, as well as the acoustic similarity, and verifies the effectiveness of the radiation noise simulation algorithm.

[0009] The objective of this invention is achieved through the following technical solution:

[0010] An experimental apparatus for verifying a radiated noise simulation algorithm includes: an actuator mounted on a test model for applying a load excitation force; several vibration acceleration sensors mounted on the test model for measuring the vibration response of the test model; several hydrophones placed in a water tank for receiving radiated noise signals generated by the vibration of the test model; a signal generator providing a precise excitation signal to the actuator to simulate the excitation force under actual working conditions, thereby driving the test model to vibrate; a power amplifier amplifying the excitation signal generated by the signal generator to sufficient power to drive the actuator to generate the required vibration; and a data acquisition instrument connected to the vibration acceleration sensors and hydrophones for processing the data from the vibration acceleration sensors and hydrophones. The data is compared with the calculation results of the underwater radiated noise algorithm simulation in a computer. The computer is used to simulate, process, and analyze the test data using the radiated noise algorithm, comparing it with the target radiated noise and the actual simulated radiated noise, thereby verifying the accuracy of the radiated noise simulation algorithm.

[0011] Furthermore, the actuator is fixedly installed at the grid and reinforcing ribs of the test model.

[0012] Furthermore, the actuator includes an actuating rod connected to the test model, with the connection point forming an excitation point.

[0013] Furthermore, the vibration acceleration sensor is installed at the test model shell, at the reinforcing ribs, and at the intersection of the reinforcing ribs; the vibration acceleration sensor is magnetically attached to the test model.

[0014] Furthermore, several of the hydrophones are installed in the pool at the same depth.

[0015] Furthermore, the hydrophone is a wideband, high-sensitivity hydrophone, capable of covering a wider frequency range and accurately capturing even weak radiated noise signals.

[0016] The present invention may also include:

[0017] An experimental verification method for validating a radiated noise simulation algorithm, using the aforementioned experimental setup, includes the following steps:

[0018] The computer simulates and generates a signal using a radiated noise algorithm, which is then transmitted to a signal generator. The signal power is amplified by a power amplifier to drive the actuator and generate an excitation force.

[0019] The actuator generates an excitation force that acts on the test model, and the vibration of the test model generates radiated noise.

[0020] The vibration acceleration sensor measures the vibration acceleration signal and transmits it to the computer for data recording via a data acquisition device;

[0021] The underwater radiated acoustic power signal measured by the hydrophone is then stored in the computer after being processed by a data acquisition instrument.

[0022] By using hydrophones placed in the pool, the radiated noise signal of the test model under different working conditions is measured. The measured far-field radiated noise and the acceleration measured by the vibration acceleration sensor near the actuator are processed to obtain the acoustic-vibration transfer function between the test points corresponding to different excitation positions and underwater radiated noise.

[0023] The underwater radiated noise signal of the test model under the excitation of the actuator was measured by hydrophones placed in the pool. The underwater radiated noise was calculated by the radiated noise simulation algorithm. The measured results were then compared with the target spectrum to verify the rationality of the simulation noise algorithm.

[0024] Furthermore, the vibration acceleration value obtained by the vibration acceleration sensor (3) is a time-domain vibration acceleration curve. After a fast Fourier transform, the amplitude-frequency curve of the vibration acceleration can be obtained. Spectrum analysis transforms the time-domain signal into the frequency domain for analysis. The spectrum analysis decomposes the complex time-history waveform into several single harmonic components through a Fourier transform to study the signal.

[0025] The frequency structure, harmonics, and phase information are given by the Fourier transform formula:

[0026] .

[0027] Furthermore, in the experiment, an actuator was used to excite typical locations on the structure. During the test, the vibration acceleration sensor was magnetically attached to the surface of the test piece. The vibration acceleration signal at the measuring point was transmitted to the data acquisition instrument via a signal line. Then, the data acquisition system was used to perform spectrum analysis to obtain the vibration response spectrum at the measuring point, and the overall level was then calculated. The vibration acceleration level at the measuring point is obtained by the following formula:

[0028]

[0029] in, This indicates the amplitude of the vibration acceleration at the measuring point. This represents the reference value for vibration acceleration; in this test, we take... ;

[0030] The total vibration acceleration level at a certain measuring point is obtained by the following formula:

[0031]

[0032] The formula for calculating sound pressure level is as follows:

[0033]

[0034] in, For sound pressure, For reference sound pressure, the reference sound pressure in water is taken as . , This refers to the sound pressure level.

[0035] The beneficial effects of this invention are as follows:

[0036] This invention detects vibration and noise by setting up vibration acceleration sensors and hydrophones at multiple points, and compares the results with the results of algorithm simulation analysis to verify the effectiveness and correctness of the radiated noise simulation algorithm. It solves the problems of existing methods that make it difficult to verify the consistency between the underwater radiated noise results simulated by structural motion and the target spectrum, as well as the similarity of acoustic signatures. Attached Figure Description

[0037] Appendix Figure 1 This is an overall structural diagram of the present invention;

[0038] Appendix Figure 2 The flowchart of the present invention is shown below;

[0039] Appendix Figure 3 This is a schematic diagram showing the arrangement of the actuator and vibration acceleration sensor of the present invention;

[0040] Appendix Figure 4 This is a schematic diagram of the hydrophone arrangement of the present invention;

[0041] Appendix Figure 5 The diagram shows the acoustic-vibration transfer function between the excitation position and the corresponding test point of underwater radiated noise under a certain industrial control system.

[0042] Appendix Figure 6 This is a comparison diagram between the results measured in this invention and the target spectrum.

[0043] In the attached diagram: 1. Test model; 2. Actuator; 3. Vibration acceleration sensor; 4. Hydrophone; 5. Signal generator; 6. Power amplifier; 7. Data acquisition instrument; 8. Computer. Detailed Implementation

[0044] The present invention will now be further described with reference to the accompanying drawings.

[0045] This invention provides an experimental apparatus for verifying radiated noise simulation algorithms, as shown in the attached diagram. Figure 1As shown, the system includes: an actuator 2, which is mounted on the test model 1 to apply a load excitation force; several vibration acceleration sensors 3, which are mounted on the test model 1 to measure the vibration response of the test model 1; several hydrophones 4, which are placed in a water tank to receive the radiated noise signal generated by the vibration of the test model 1; a signal generator 5 to provide a precise excitation signal to the actuator 2 to simulate the excitation force under actual working conditions, thereby driving the test model 1 to vibrate; a power amplifier 6 to amplify the excitation signal generated by the signal generator 5 to sufficient power to drive the actuator 2 to generate the required vibration; and a data acquisition instrument 7 connected to the vibration acceleration sensors 3 and the hydrophones 4 to process the data from the vibration acceleration sensors 3 and the hydrophones 4. The data is compared with the calculation results of the underwater radiated noise algorithm simulation in the computer 8. The computer 8 is used to simulate, process, and analyze the test data using the radiated noise algorithm, and compares the data with the target radiated noise and the actual simulated radiated noise to verify the accuracy of the radiated noise simulation algorithm.

[0046] As attached Figure 3 As shown, two actuators 2 are fixedly installed at the grid and reinforcing ribs of the test model 1 to apply the impact load excitation force;

[0047] Specifically, the actuator 2 includes an actuator rod connected to the test model 1, and the connection point forms an excitation point. The actuator rod of the actuator 2 vibrates and acts on the excitation point.

[0048] Furthermore, the actuator 2 bracket is made of the same material as the model and is fixed to the model by welding. It is fixed to the tooling by M10 screws, and the table is connected to the M5 nut welded to the excitation point of the model by an M5 actuator rod.

[0049] In this embodiment, the vibration acceleration sensor 3 is installed at the test model shell, at the reinforcing ribs, and at the intersection of the reinforcing ribs. The vibration acceleration sensor 3 is magnetically attached to the test model 1 and is used to measure the vibration response of the test model 1. The actuator 2 vibrates at a set frequency, causing the stiffened plate frame model 1 to vibrate. The vibration acceleration sensor 3 and the hydrophone 4 receive the signals. After the data processing unit receives and processes the data, it is sent to the computer for algorithm simulation and comparison.

[0050] The adsorption position of the vibration accelerometer 3 should reflect the vibration characteristics of the test model. To ensure good data acquisition by the vibration accelerometer, the model surface should be cleaned and smoothed before adsorption. The cable of the vibration accelerometer 3 should be bundled together and run from one side of the model to the data acquisition instrument. Four vibration accelerometers 3 should be evenly arranged along the grid of the test model 1; two vibration accelerometers 3 should be arranged on the reinforcing ribs; and 32 vibration accelerometers should be arranged at the intersection of the reinforcing ribs.

[0051] In this embodiment, several hydrophones 4 are arranged in the pool at the same depth. The hydrophones 4 are broadband high-sensitivity hydrophones used to receive the radiated noise signal generated by the vibration of the test model 1.

[0052] Specifically, a hydrophone 4 is placed on the side of the water tank, with an immersion depth of about 0.6m and a distance of more than 1m from the side wall and bottom of the water tank.

[0053] In this embodiment, sound-absorbing wedges are selected and laid around the test water tank in all directions to absorb sound and reduce sound reflection, simulating a non-reflective boundary condition.

[0054] In this embodiment, the stiffened plate frame model 1 adopts a highly representative typical structure, 4m long, 3m wide, and 12mm thick, with stiffeners spaced 430mm apart, and is made of Q235 steel. The model has lifting lugs at its four corners, allowing for hoisting operations using an overhead crane. The model is hoisted into the test water tank using an overhead crane inside the factory building, with an immersion depth of approximately 0.15m, and the distance from the bottom and sidewalls of the water tank is greater than 1.5m.

[0055] In this embodiment, the experimental water tank is 7m long, 6m wide, and 1.8m deep, and the model is 4m long and 3m wide.

[0056] This embodiment also provides an experimental verification method for verifying the radiated noise simulation algorithm, using the above-described experimental apparatus, including the following steps:

[0057] Computer 8 simulates and generates a signal through a radiation noise algorithm, which is then transmitted to signal generator 5. The signal power is amplified by power amplifier 6 to drive actuator 2 to generate excitation force.

[0058] Actuator 2 generates an excitation force that acts on test model 1, and the vibration of test model 1 generates radiated noise.

[0059] Vibration acceleration sensor 3 measures vibration acceleration signals and transmits them to computer 8 via data acquisition instrument 7 to record the data;

[0060] The underwater radiated acoustic power signal measured by the hydrophone 4 is stored in the computer 8 after being processed by the data acquisition instrument 7;

[0061] By using hydrophone 4 arranged in the pool, the radiated noise signal of test model 1 under different working conditions is measured. The measured far-field radiated noise and the acceleration measured by vibration acceleration sensor 3 near actuator 2 are processed to obtain the acoustic-vibration transfer function between different excitation positions and the corresponding test points of underwater radiated noise.

[0062] The underwater radiated noise signal of the test model 1 under the excitation of the actuator 2 was measured by hydrophone 4 placed in the pool. The underwater radiated noise was calculated by the radiated noise simulation algorithm. The measured results were then compared with the target spectrum to verify the rationality of the simulation noise algorithm.

[0063] The vibration acceleration value obtained by the vibration acceleration sensor 3 is a time-domain vibration acceleration curve. After a fast Fourier transform, the amplitude-frequency curve of the vibration acceleration can be obtained. Spectrum analysis transforms the time-domain signal into the frequency domain for analysis. This spectrum analysis decomposes the complex time-history waveform into several individual harmonic components through a Fourier transform to obtain the frequency structure of the signal and the information of each harmonic and phase. The Fourier transform formula is:

[0064] .

[0065] In the experiment, actuator 2 was used to excite typical locations on the structure. During the test, the vibration acceleration sensor was magnetically attached to the surface of the test piece. The vibration acceleration signal at the measuring point was transmitted to the data acquisition instrument via a signal line. Then, the data acquisition system was used to perform spectrum analysis to obtain the vibration response spectrum at the measuring point, and the overall level was then calculated. The vibration acceleration level at the measuring point is obtained by the following formula:

[0066]

[0067] in, This indicates the amplitude of the vibration acceleration at the measuring point. This represents the reference value for vibration acceleration; in this test, we take... ;

[0068] The total vibration acceleration level at a certain measuring point is obtained by the following formula:

[0069]

[0070] The formula for calculating sound pressure level is as follows:

[0071]

[0072] in, For sound pressure, For reference sound pressure, the reference sound pressure in water is taken as . , This refers to the sound pressure level.

[0073] Example 2:

[0074] This embodiment provides a verification test method for a radiated noise simulation algorithm, using the verification device described in the embodiment, as shown in the attached diagram. Figure 2 As shown, the specific steps are as follows:

[0075] In step S101, the computer 8 controls the signal transmission to the signal generator 5 through the radiation noise simulation algorithm, and the signal is amplified by the power amplifier 6 to drive the actuator 2 to generate excitation force.

[0076] In step S102, actuator 2 generates an excitation force that acts on the stiffened plate frame model 1, and the vibration of the model generates radiated noise.

[0077] In step S103, the vibration acceleration sensor 3 measures the vibration acceleration signal and transmits it to the data acquisition instrument 7 via the signal hydrophone 4, and the computer 8 records the data.

[0078] In step S104, the hydrophone 4 measures the underwater radiated sound pressure signal, which is then stored in the computer 8 after passing through the data acquisition instrument 7;

[0079] In step S105, spectrum analysis is performed. The vibration acceleration value obtained by the vibration acceleration sensor 3 is a time-domain vibration acceleration curve. After fast Fourier transform, the amplitude-frequency curve of the vibration acceleration can be obtained.

[0080] In step S106, a comparative analysis is performed. Underwater radiated noise is calculated using a radiated noise simulation algorithm, and the simulation results at the same location are compared with the model test results to verify the rationality of the noise generation algorithm.

[0081] The actuator at the center of the plate is selected for excitation. The vibration acceleration value obtained by vibration acceleration sensor 3 is a time-domain vibration acceleration curve. After fast Fourier transform, the amplitude-frequency curve of the vibration acceleration can be obtained. The method of transforming the time-domain signal into the frequency domain for analysis is called spectrum analysis. The purpose of spectrum analysis is to decompose the complex time history waveform into several individual harmonic components through Fourier transform to obtain the frequency structure of the signal and the information of each harmonic and phase. The Fourier transform formula is:

[0082]

[0083] In the experiment, an actuator was used to excite typical locations on the structure. During the test, a vibration acceleration sensor was magnetically attached to the surface of the test piece. The vibration acceleration signal at the measuring point was transmitted to a data acquisition instrument via a signal line. Then, the data acquisition system was used to perform spectrum analysis to obtain the vibration response spectrum at that measuring point, and thus the overall level was calculated.

[0084]

[0085] in, This indicates the amplitude of the vibration acceleration at the measuring point. This represents the reference value for vibration acceleration; in this test, we take... .

[0086] The total vibration acceleration level at a certain measuring point is obtained by the following formula:

[0087]

[0088] The formula for calculating sound pressure level is as follows:

[0089]

[0090] in For sound pressure, For reference sound pressure, the reference sound pressure in water is taken as . , This refers to the sound pressure level.

[0091] First, in this test, the excitation force was applied by the actuator at the center of the grid. The sound field assessment point of the model was located on the side of the water tank, with an immersion depth of approximately 0.2m, and the distance from the side wall and bottom of the water tank was greater than 1m. (See attached image.) Figure 3-4 As shown.

[0092] The acoustic-vibration transfer function of the structure corresponding to each excitation source location was measured. Hydrophones placed around the model structure were used to measure the radiated noise of the model structure under different operating conditions. The measured far-field radiated noise and the acceleration measured by the vibration accelerometer near the actuator were processed to obtain the acoustic-vibration transfer function between the excitation location and the corresponding test point of underwater radiated noise under that operating condition, as shown in the appendix. Figure 5 As shown.

[0093] The underwater radiated noise of the model under the excitation of two actuators is measured by using hydrophones arranged near the tank wall to measure the underwater radiated noise signal of the model under the excitation of the actuators under this working condition.

[0094] Example 3:

[0095] This embodiment provides a method for processing experimental data to verify a radiated noise simulation algorithm, comparing the target spectrum and the radiated noise simulated by the algorithm from the following three dimensions:

[0096] (1) Voiceprint similarity: The cosine similarity algorithm is used to measure the similarity between two vectors. The basic principle is to calculate the cosine value of the angle between the two vectors. The smaller the angle, the closer the cosine value is to 1, indicating a higher similarity; the larger the angle, the closer the cosine value is to -1, indicating a lower similarity. The formula is:

[0097]

[0098] in, It is a vector and The dot product; and It is a vector and The modulus is calculated using the following formula:

[0099]

[0100] (2) Overall sound pressure level: The overall sound pressure level obtained by superimposing or logarithmically weighting the effective sound pressure values ​​(RMS) of all frequency components within a specified frequency range.

[0101]

[0102] in, , which are the sound pressure levels of the i-th frequency component or band, respectively, and M is the number of frequency components or bands.

[0103] (3) Line spectrum coverage: Line spectrum coverage is used to describe the degree of matching between the discrete frequency components of the vibration or noise signal of the tested object and the target reference line spectrum under a specific working condition. Specifically, it is the percentage of the number of effective line spectra actually detected in the test signal within the target frequency range to the total number of reference line spectra.

[0104] The measured results were then compared with the target spectrum, as shown in the attached figure. Figure 6 As shown, this is to verify the rationality of the noise generation algorithm.

[0105] Compared with the prior art, the beneficial effects of the present invention are: by setting up vibration acceleration sensors and hydrophones at multiple points, vibration and noise are detected, and the results are compared with the results of algorithm simulation analysis, thereby verifying the effectiveness and correctness of the radiated noise simulation algorithm.

[0106] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. An experimental apparatus for verifying a radiated noise simulation algorithm, characterized in that, include: Actuator (2), which is mounted on the test model (1) and is used to apply load excitation force; Several vibration acceleration sensors (3) are installed on the test model (1) to measure the vibration response of the test model (1); several hydrophones (4) are placed in the pool to receive the radiated noise signal generated by the vibration of the test model (1); the signal generator (5) provides a precise excitation signal to the actuator (2) to simulate the excitation force under actual working conditions, thereby driving the test model (1) to generate vibration; the power amplifier (6) is used to amplify the excitation signal generated by the signal generator (5) to a sufficient power to drive the actuator (2) to generate the required vibration; the data acquisition instrument (7) is connected to the vibration acceleration sensor (3) and the hydrophone (4) to process the data of the vibration acceleration sensor (3) and the hydrophone (4), and the data is compared with the calculation results of the underwater radiated noise algorithm simulation in the computer (8). The computer (8) is used to simulate, process and analyze the test data of the radiated noise algorithm, and compare it with the target radiated noise and the actual simulated radiated noise, thereby verifying the accuracy of the radiated noise simulation algorithm.

2. The experimental apparatus for verifying the radiated noise simulation algorithm according to claim 1, characterized in that, The actuator (2) is fixedly installed at the grid and reinforcing ribs of the test model (1).

3. The experimental apparatus for verifying the radiated noise simulation algorithm according to claim 2, characterized in that, The actuator (2) includes an actuator rod connected to the test model (1), and the connection point forms an excitation point.

4. The experimental apparatus for verifying the radiated noise simulation algorithm according to claim 3, characterized in that, The vibration acceleration sensor (3) is installed at the test model shell, at the reinforcing ribs and at the intersection of the reinforcing ribs; the vibration acceleration sensor (3) is magnetically attached to the test model (1).

5. The experimental apparatus for verifying the radiated noise simulation algorithm according to claim 4, characterized in that, Several of the hydrophones (4) are installed in the pool at the same depth.

6. The experimental apparatus for verifying the radiated noise simulation algorithm according to claim 5, characterized in that, The hydrophone (4) is a broadband, high-sensitivity hydrophone.

7. An experimental verification method for validating a radiated noise simulation algorithm, characterized in that, Using the test apparatus according to any one of claims 1-6 includes the following steps: The computer (8) simulates and generates a signal through a radiation noise algorithm, which is then transmitted to the signal generator (5). The signal power is amplified by the power amplifier (6) to drive the actuator (2) to generate an excitation force. The actuator (2) generates an excitation force that acts on the test model (1), and the test model (1) vibrates to generate radiated noise; The vibration acceleration sensor (3) measures the vibration acceleration signal and transmits it to the computer (8) for data recording via the data acquisition instrument (7); The underwater radiated acoustic power signal is measured by the hydrophone (4) and then stored in the computer (8) after passing through the data acquisition instrument (7); By using hydrophones (4) placed in the pool, the radiated noise signal of the test model (1) under different working conditions is measured. The measured far-field radiated noise and the acceleration measured by the vibration acceleration sensor (3) near the actuator (2) are processed to obtain the acoustic vibration transfer function between the test points corresponding to different excitation positions and underwater radiated noise. The underwater radiated noise signal of the test model (1) under the excitation of the actuator (2) is measured by a hydrophone (4) placed in the pool; the underwater radiated noise is calculated by the radiated noise simulation algorithm, and then the measured results are compared with the target spectrum to verify the rationality of the simulation noise algorithm.

8. The experimental verification method for verifying the radiated noise simulation algorithm according to claim 7, characterized in that, The vibration acceleration value obtained by the vibration acceleration sensor (3) is a time-domain vibration acceleration curve. After a fast Fourier transform, the amplitude-frequency curve of the vibration acceleration can be obtained. Spectrum analysis transforms the time-domain signal into the frequency domain for analysis. The spectrum analysis decomposes the complex time-history waveform into several single harmonic components through a Fourier transform to study the signal. The frequency structure, harmonics, and phase information are given by the Fourier transform formula: 。 9. The experimental verification method for verifying the radiated noise simulation algorithm according to claim 8, characterized in that, In the experiment, an actuator (2) was used to excite the typical position of the structure. During the test, the vibration acceleration sensor was attached to the surface of the test piece using a magnetic base. The vibration acceleration signal at the measuring point was transmitted to the data acquisition instrument through the signal line. Then, the data acquisition system was used to perform spectrum analysis to obtain the vibration response spectrum at the measuring point, and then the overall level was obtained. The vibration acceleration level at the measuring point was obtained by the following formula: in, This indicates the amplitude of the vibration acceleration at the measuring point. This represents the reference value for vibration acceleration; in this test, we take... ; The total vibration acceleration level at a certain measuring point is obtained by the following formula: The formula for calculating sound pressure level is as follows: in, For sound pressure, For reference sound pressure, the reference sound pressure in water is taken as . , This refers to the sound pressure level.

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