Structural overall damping identification method and device based on time domain response variance parameters

Abstract

The present invention discloses a method and device for identifying the overall damping of a structure based on time domain response variance parameters. The method comprises: obtaining actual structural parameters, establishing a finite element model, and adjusting the frequency domain parameters and time domain response parameters of the finite element model according to a preset overall damping ratio; calculating the corresponding time domain response parameters and impulse response data of the finite element model under various overall damping according to the time domain response parameters; constructing an overall damping regression equation according to the corresponding time domain response parameters and impulse response data under various overall damping, and identifying the actual structure through the overall damping regression equation to obtain the overall damping of the actual structure. The present invention proposes a new method for identifying the overall damping of a structure, which predicts the overall damping of the structure using the regression equation of the variance parameter and the overall damping of the structure, and solves the problem that the existing exploration technology cannot accurately quantify the structural damping.

Description

Technical Field

[0001] The invention belongs to the field of structural dynamics, and in particular relates to a method and a device for identifying overall structural damping based on time domain response variance parameters. Background Art

[0002] The overall damping of a structure is a parameter that reflects the energy dissipation during the vibration of the structure. It is one of the key factors affecting the dynamic response of the structure and is closely related to the structural boundary conditions, changes in the external environment, and operation, damage or other internal defects. Therefore, accurately evaluating the overall damping of the structure is crucial to ensuring the stability of the structure.

[0003] However, due to the complexity of the structure and energy dissipation process, it is difficult to accurately quantify the structural damping with existing survey technology. Especially for large civil structures, the environment and operating conditions have a considerable impact on their damping, making the identification of large structural damping even more difficult.

[0004] Therefore, a simple and accurate structural overall damping identification technology is needed. Summary of the invention

[0005] The technical problem to be solved by the present invention is that, in view of the defects of the prior art, the present invention provides a method and device for identifying the overall damping of a structure based on time domain response variance parameters, so as to solve the problem that the existing exploration technology cannot accurately quantify the structural damping.

[0006] The technical solution adopted by the present invention to solve the technical problem is as follows:

[0007] In a first aspect, the present invention provides a method for identifying overall structural damping based on time domain response variance parameters, comprising:

[0008] Acquire actual structural parameters, establish a finite element model, and adjust the frequency domain parameters and time domain response parameters of the finite element model according to a preset overall damping ratio;

[0009] The time domain response parameters and impulse response data corresponding to the finite element model under various overall damping conditions are calculated according to the time domain response parameters;

[0010] An overall damping regression equation is constructed according to the time domain response parameters and impulse response data corresponding to various overall damping conditions, and the actual structure is identified by the overall damping regression equation to obtain the overall damping of the actual structure.

[0011] In one implementation, the structural overall damping identification method based on time domain response variance parameters, the step of obtaining actual structural parameters and establishing a finite element model, includes:

[0012] The actual structural parameters are obtained, and the finite element model is established according to the actual structural parameters; wherein the frequency domain parameters of the finite element model are similar to the frequency domain parameters of the actual structure, and the time domain response parameters of the finite element model are similar to the time domain response parameters of the actual structure.

[0013] In one implementation, the adjusting the frequency domain parameters and the time domain response parameters of the finite element model according to the preset overall damping ratio includes:

[0014] Obtaining the preset overall damping ratio;

[0015] The parameters of the damper in the finite element model are adjusted according to the preset overall damping ratio to obtain the frequency domain parameters and time domain response parameters of the finite element model.

[0016] In one implementation, the step of calculating the time domain response parameters and impulse response data corresponding to the finite element model under various overall damping conditions according to the time domain response parameters includes:

[0017] According to the time domain response parameters, the time domain response parameters corresponding to the finite element model under various overall damping conditions are calculated in a random excitation manner.

[0018] In one implementation, the step of calculating the time domain response parameters and impulse response data corresponding to the finite element model under various overall damping conditions according to the time domain response parameters further includes:

[0019] According to the time domain response parameters, random decrement technology is used to calculate the impulse response data corresponding to the finite element model under various overall damping conditions.

[0020] In one implementation, the random reduction technique is used to calculate the impulse response data corresponding to the finite element model under various overall damping conditions, including:

[0021] Applying random loads to the finite element model to obtain corresponding random response data;

[0022] The random response data is converted into corresponding impulse response data using the random reduction technique.

[0023] In one implementation, constructing an overall damping regression equation according to the impulse response data corresponding to a plurality of overall dampings includes:

[0024] Constructing a data set of impulse response data corresponding to the plurality of overall damping conditions;

[0025] Calculate and obtain the variance parameter of the data set corresponding to the impulse response data;

[0026] Performing regression analysis on the variance parameter and the preset overall damping ratio;

[0027] The correlation coefficient between the variance parameter and the preset overall damping ratio is obtained through a univariate linear regression equation.

[0028] In one implementation, constructing a data set of impulse response data corresponding to the plurality of overall damping conditions includes:

[0029] The maximum and minimum values ​​of the impulse response data are obtained, and a data set of the corresponding impulse response data under the various overall damping conditions is constructed.

[0030] In one implementation, the calculating and obtaining the variance parameter of the data set corresponding to the impulse response data includes:

[0031] According to the data set of the impulse response data, a variance parameter of the data set corresponding to the impulse response data is calculated.

[0032] In one implementation, the performing regression analysis on the variance parameter and the preset overall damping ratio includes:

[0033] According to the variance parameters of the data set corresponding to the impulse response data, the variance parameters and the preset overall damping ratio are subjected to regression analysis to obtain an overall damping regression equation of the variance parameters and the preset overall damping ratio.

[0034] In one implementation, obtaining the correlation coefficient between the variance parameter and the preset overall damping ratio through a univariate linear regression equation includes:

[0035] According to the variance parameter and the preset overall damping ratio, a correlation coefficient between the variance parameter and the preset overall damping ratio is obtained through a univariate linear regression equation.

[0036] In one implementation, the overall damping regression equation is constructed according to the time domain response parameters and impulse response data corresponding to a plurality of overall dampings, and the actual structure is identified by the overall damping regression equation to obtain the overall damping of the actual structure, including:

[0037] Establishing an overall damping regression equation of the variance parameter and the preset overall damping ratio according to a correlation coefficient between the variance parameter and the preset overall damping ratio;

[0038] The overall damping of the actual structure is identified by using the overall damping regression equation, and the variance parameter of the data set corresponding to the impulse response data is substituted into the overall damping regression equation to obtain the overall damping of the actual structure.

[0039] In a second aspect, the present invention provides a structural overall damping identification device based on time domain response variance parameters, comprising:

[0040] A finite element model building module, used to obtain actual structural parameters, build a finite element model, and adjust the frequency domain parameters and time domain response parameters of the finite element model according to a preset overall damping ratio;

[0041] A time domain and frequency domain response module, used to calculate the time domain response parameters and impulse response data corresponding to the finite element model under various overall damping conditions according to the time domain response parameters;

[0042] The overall damping identification module is used to construct an overall damping regression equation according to the time domain response parameters and impulse response data corresponding to various overall damping conditions, and identify the actual structure through the overall damping regression equation to obtain the overall damping of the actual structure.

[0043] In a third aspect, the present invention further provides a terminal, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method for identifying overall structural damping based on time domain response variance parameters as described in the first aspect.

[0044] In a fourth aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, the program being executed by a processor to implement the method for identifying overall structural damping based on time domain response variance parameters as described in the first aspect.

[0045] The present invention adopts the above technical solution to achieve the following effects:

[0046] The present invention obtains structural parameters and establishes a finite element model, and can obtain frequency domain parameters and time domain response data of the structure according to different overall damping ratio adjustment models, and obtains a corresponding data set constructed by extreme points through conversion by calculation, and can predict the overall damping of the structure according to a regression equation between the variance parameter of the data set and the overall damping of the structure; the present invention predicts the overall damping of the structure using the regression equation between the variance parameter and the overall damping of the structure, which solves the problem that the existing exploration technology cannot accurately quantify the structural damping. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying creative work.

[0048] Figure 1 It is a flow chart of a method for identifying overall structural damping based on time domain response variance parameters in one implementation of the present invention.

[0049] Figure 2 It is a specific flow chart of a structural damping identification method based on time domain response variance parameters in one implementation of the present invention.

[0050] Figure 3 It is a finite element model established in an embodiment of an implementation method of the present invention.

[0051] Figure 4 It is the response of the finite element model under random load in an embodiment of one implementation of the present invention.

[0052] Figure 5 It is an impulse response obtained by random reduction technology and random response in an embodiment of an implementation mode of the present invention.

[0053] Figure 6 It is a regression diagram of the variance parameter and the overall damping of the structure in an embodiment of an implementation mode of the present invention.

[0054] Figure 7 It is a functional principle diagram of a terminal in one implementation of the present invention.

[0055] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0056] In order to make the purpose, technical solution and advantages of the present invention clearer and more specific, the present invention is further described in detail below with reference to the accompanying drawings and examples. 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.

[0057] Exemplary Methods

[0058] It is difficult to accurately quantify structural damping using existing survey technology. Especially for large civil structures, the environment and operating conditions have a considerable impact on their damping, making the identification of large structural damping even more difficult.

[0059] In response to the above technical problems, an embodiment of the present invention provides a method for identifying the overall damping of a structure based on time domain response variance parameters, which uses a regression equation between the variance parameters and the overall damping of the structure to predict the overall damping of the structure, thereby solving the problem that existing survey technologies cannot accurately quantify the structural damping.

[0060] like Figure 1 As shown, an embodiment of the present invention provides a method for identifying overall structural damping based on time domain response variance parameters, comprising the following steps:

[0061] Step S100, obtaining actual structural parameters, establishing a finite element model, and adjusting the frequency domain parameters and time domain response parameters of the finite element model according to a preset overall damping ratio.

[0062] In this embodiment, based on a simplified finite element model of an offshore wind turbine, the specific implementation method of the structural overall damping identification method based on time domain response variance parameters is described in detail; of course, the finite element model in this embodiment is not limited to the simplified model of the offshore wind turbine, and can be other simplified building models, such as high-rise buildings, landmark buildings, or other engineering buildings.

[0063] This implementation is based on the actual architectural structure of an offshore wind turbine. By obtaining the parameters of its actual structure, the corresponding finite element model can be established in the simulation software of the finite element model using the parameters of the actual structure obtained. After the finite element model is established, the finite element model can be adjusted according to the preset overall damping ratio parameters to obtain the frequency domain parameters and time domain corresponding parameters corresponding to each overall damping ratio.

[0064] Specifically, in one implementation of this embodiment, step S100 includes the following steps:

[0065] Step S110, acquiring the actual structural parameters, and establishing the finite element model according to the actual structural parameters;

[0066] In step S110, the frequency domain parameters of the finite element model are close to the frequency domain parameters of the actual structure, and the time domain response parameters of the finite element model are close to the time domain response parameters of the actual structure;

[0067] Step S120, obtaining the preset overall damping ratio;

[0068] Step S130: adjusting the parameters of the damper in the finite element model according to the preset overall damping ratio to obtain the frequency domain parameters and time domain response parameters of the finite element model.

[0069] In this embodiment, a corresponding finite element model is established through simulation software based on the specific parameters of the actual structure, so as to obtain a finite element model whose frequency domain parameters and time domain response parameters are similar to those of the actual structure, and then the parameters of the damper in the finite element model are adjusted by presetting the overall damping ratio, and finally the corresponding frequency domain parameters and time domain response parameters of the finite element model under different overall damping ratios are obtained.

[0070] like Figure 3As shown, in this embodiment, the simplified finite element model of the offshore wind turbine can be obtained by simulating the ANSYS software, wherein the ANSYS software is a large-scale general finite element analysis software that can perform entity modeling according to actual structural parameters. According to the corresponding actual structural parameters, the upper structure of the finite element model is established by the beam unit (BEAM188) in the software, and the soil-structure interaction is modeled by the nonlinear spring (COMBIN39) and the damper unit (COMBIN14). After the finite element model is established, the change of the structural damping is achieved by adjusting the relevant parameters of the damper in the finite element model, thereby obtaining the corresponding frequency domain parameters and time domain response parameters, wherein the coefficient of the damper (i.e., the preset overall damping coefficient) is set to 10000, 1000, 100, 10, 8, 5, 1, 0.1, 0.01, 0.001, 0.0001, a total of 11 types.

[0071] In this embodiment, an accurate finite element model is established based on the actual structure. Therefore, the frequency domain parameters and time domain response parameters of the finite element model should be close to the actual structure. After the finite element model is simulated, the overall damping ratio of the finite element model can be adjusted according to the 11 damping coefficients set above.

[0072] This embodiment uses ANSYS software to accurately simulate the model of an actual building structure in real life. In addition, in the ANSYS software, by setting a variety of different overall damping ratio parameters, the frequency domain corresponding parameters and time domain corresponding parameters of the actual structure under different overall damping ratios can be simulated, so as to facilitate the subsequent simulation of the structural parameters of the actual structure within a certain period of time according to these parameters.

[0073] like Figure 1 As shown, an embodiment of the present invention provides a method for identifying overall structural damping based on time domain response variance parameters, comprising the following steps:

[0074] Step S200: obtaining the time domain response parameters and impulse response data corresponding to the finite element model under various overall damping conditions according to the time domain response parameters.

[0075] In this embodiment, an accurate finite element model is established based on the actual structure, and the time domain response parameters of the structure corresponding to the finite element model under different overall damping are calculated by adjusting different overall damping, wherein the input for calculating the time domain response parameters is random excitation.

[0076] In this embodiment, if Figure 4As shown, firstly, random loads (i.e., random excitation) are applied to the above finite element model through ANSYS software to obtain different time domain response parameters, and then the random reduction technology is used to convert the time domain response parameters into impulse response data to obtain the impulse response data of the finite element model under different overall damping.

[0077] In this embodiment, if Figure 5 As shown, based on the time domain response parameters, the random reduction technique is used to obtain the impulse response data of the structure under different structural overall damping, and the steps are as follows:

[0078] Assume that the time history x(t) of the system's stable time domain response parameters has been obtained, and its average value is 0. Take a fixed value A, so that the straight line x=A and x(t) intersect at point, x(t)=A, k=1, 2, ..., s. Starting from each point, intercept a sample x(t-) of length T, and the sample length T must be long enough. Calculate the average value of the intercepted samples to obtain the impulse response data under the initial test conditions.

[0079] Specifically, in one implementation of this embodiment, step S200 includes the following steps:

[0080] Step S210, according to the time domain response parameters, the time domain response parameters corresponding to the finite element model under various overall damping conditions are calculated in a random excitation manner;

[0081] Step S220: According to the time domain response parameters, random decrement technology is used to calculate the impulse response data corresponding to the finite element model under various overall damping conditions.

[0082] In one implementation of this embodiment, step S220 includes the following steps:

[0083] Step S221, applying a random load to the finite element model to obtain corresponding random response data;

[0084] Step S222: convert the random response data into corresponding impulse response data using the random reduction technique.

[0085] like Figure 1 As shown, an embodiment of the present invention provides a method for identifying overall structural damping based on time domain response variance parameters, comprising the following steps:

[0086] Step S300, constructing an overall damping regression equation according to time domain response parameters and impulse response data corresponding to a plurality of overall dampings, and identifying the actual structure through the overall damping regression equation to obtain the overall damping of the actual structure.

[0087] In this embodiment, the maximum and minimum values ​​in the impulse response data corresponding to the finite element model under each overall damping are first selected, then the data sets under the corresponding overall damping are constructed, and finally the variance of each data set is calculated.

[0088] In this embodiment, by performing regression analysis on the variance of each data set and the corresponding overall damping, a regression equation between each variance parameter and the corresponding overall damping is obtained. The specific steps are as follows:

[0089] According to the existing data and relationship between the variance parameter and the corresponding overall damping, it is preliminarily assumed that the regression equation is in the form of a univariate linear regression equation. The correlation coefficient and linear verification are calculated through the univariate linear regression equation to obtain a reasonable regression coefficient. Then the corresponding regression equation is established and tested to estimate the interval between the variance parameter and the corresponding overall damping.

[0090] In this embodiment, the overall structural damping identification of the actual structure is performed through the regression equation of the variance parameter and the corresponding overall damping ratio, specifically including: firstly calculating the variance parameters of the time domain response parameters under different overall damping, and then substituting the corresponding variance parameters into the regression equation of the variance parameter and the corresponding overall damping ratio, so as to obtain the overall damping corresponding to the actual structure.

[0091] Specifically, in one implementation of this embodiment, step S300 includes the following steps:

[0092] Step S310, constructing a data set of impulse response data corresponding to the plurality of overall damping conditions;

[0093] Step S320, calculating and obtaining the variance parameter of the data set corresponding to the impulse response data;

[0094] Step S330, performing regression analysis on the variance parameter and the preset overall damping ratio;

[0095] Step S340, obtaining the correlation coefficient between the variance parameter and the preset overall damping ratio through a univariate linear regression equation;

[0096] In this embodiment, if Figure 6As shown in the figure, by selecting the independent variable x as the variance parameter and the dependent variable y as the overall damping ratio, the variance parameter and the overall damping ratio are subjected to regression analysis. By drawing the scatter plot of the variables, it can be seen that the variance parameter and the overall damping ratio of the structure have a good linear negative correlation. Among them, the Pearson correlation coefficient is used to measure whether the data sets of the variance parameter and the overall damping ratio are on the same line, and is used to measure the linear relationship between fixed distance variables. Before the regression analysis, the correlation between the variance parameter and the overall damping ratio of the structure is analyzed, and the Pearson correlation coefficient r=-0.95556 is obtained. It can be seen that the variance parameter and the overall damping ratio of the structure have a good linear negative correlation. Therefore, the univariate linear regression equation is selected for regression analysis.

[0097] Step S350, establishing an overall damping regression equation of the variance parameter and the preset overall damping ratio according to the correlation coefficient between the variance parameter and the preset overall damping ratio;

[0098] Step S360, identifying the overall damping of the actual structure through the overall damping regression equation, substituting the variance parameter of the data set corresponding to the impulse response data into the overall damping regression equation to obtain the overall damping of the actual structure.

[0099] Specifically, in one implementation of this embodiment, step S310 includes the following steps:

[0100] Step S311, obtaining the maximum value and the minimum value of the impulse response data, and constructing a data set of the corresponding impulse response data under the various overall damping.

[0101] In this embodiment, when selecting the maximum and minimum values ​​in the impulse response data corresponding to the finite element model under each overall damping, each set of attenuation curves is taken for about 1.5 seconds, 24 extreme points, 12 maximum values, and 12 minimum values ​​are taken, and the adjusted overall damping ratio and variance parameters of the mechanism are shown in Table 1.

[0102]

[0103] Table 1

[0104] Specifically, in one implementation of this embodiment, step S320 includes the following steps:

[0105] Step S321, calculating, according to the data set of the impulse response data, a variance parameter of the data set corresponding to the impulse response data.

[0106] Specifically, in one implementation of this embodiment, step S330 includes the following steps:

[0107] Step S331, according to the variance parameters of the data set corresponding to the impulse response data, regression analysis is performed on the variance parameters and the preset overall damping ratio to obtain an overall damping regression equation of the variance parameters and the preset overall damping ratio.

[0108] Specifically, in one implementation of this embodiment, step S340 includes the following steps:

[0109] Step S341, according to the variance parameter and the preset overall damping ratio, obtaining the correlation coefficient between the variance parameter and the preset overall damping ratio through a univariate linear regression equation.

[0110] In this embodiment, according to the data in Table 2-4, it can be obtained that the univariate linear regression equation is y=-0.8365x+0.2042, and the corrected R^2 is 0.9034, indicating that the variables in the model together explain 90.34% of the changes in Y. Therefore, the regression equation result is good, and the p-values ​​of Significance F and t-test are close to 0, which are much less than 0.05. It can be considered that the regression equation is statistically significant.

[0111]

[0112]

[0113] Table 2

[0114]

[0115] Table 3

[0116]

[0117] Table 4

[0118] In this embodiment, the overall damping ratio of the structure is predicted by using the obtained regression curve. As shown in Table 5, the deviation between the predicted value and the actual value is basically less than 1%. Therefore, it can be considered that the overall damping identification method of the structure based on the time domain response variance parameter proposed in the present invention can accurately evaluate the overall damping of the structure.

[0119]

[0120]

[0121] Table 5

[0122] This embodiment achieves the following technical effects through the above technical solution:

[0123] The present invention obtains structural parameters and establishes a finite element model, and can obtain frequency domain parameters and time domain response data of the structure according to different overall damping ratio adjustment models, and obtains a corresponding data set constructed by extreme points through conversion by calculation, and can predict the overall damping of the structure according to a regression equation between the variance parameter of the data set and the overall damping of the structure; the present invention predicts the overall damping of the structure using the regression equation between the variance parameter and the overall damping of the structure, which solves the problem that the existing exploration technology cannot accurately quantify the structural damping.

[0124] Exemplary Devices

[0125] Based on the above embodiments, the present invention further provides a structural overall damping identification device based on time domain response variance parameters, comprising:

[0126] A finite element model building module, used to obtain actual structural parameters, build a finite element model, and adjust the frequency domain parameters and time domain response parameters of the finite element model according to a preset overall damping ratio;

[0127] A time domain and frequency domain response module, used to calculate the time domain response parameters and impulse response data corresponding to the finite element model under various overall damping conditions according to the time domain response parameters;

[0128] The overall damping identification module is used to construct an overall damping regression equation according to the time domain response parameters and impulse response data corresponding to various overall damping conditions, and identify the actual structure through the overall damping regression equation to obtain the overall damping of the actual structure.

[0129] Exemplary Devices

[0130] Based on the above embodiments, the present invention also provides a terminal, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the structural overall damping identification method based on time domain response variance parameters as described above.

[0131] In one embodiment, a storage medium is provided, on which a computer program is stored, characterized in that the program is executed by a processor to implement the structural overall damping identification method based on time domain response variance parameters as described above.

[0132] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing related hardware through a computer program, and the computer program can be stored in a non-volatile storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to a memory, a database or other medium used in the embodiments provided by the present invention can include non-volatile and / or volatile memory.

[0133] In summary, the present invention provides a method, terminal and storage medium for identifying the overall damping of a structure based on time domain response variance parameters, the method comprising: obtaining actual structural parameters, establishing a finite element model, and adjusting the frequency domain parameters and time domain response parameters of the finite element model according to a preset overall damping ratio; calculating the time domain response parameters and impulse response data corresponding to the finite element model under a variety of overall damping according to the time domain response parameters; constructing an overall damping regression equation according to the time domain response parameters and impulse response data corresponding to a variety of overall damping, and identifying the actual structure through the overall damping regression equation to obtain the overall damping of the actual structure. The present invention proposes a new method for identifying the overall damping of a structure, which is simple and easy to implement, and solves the problem of the difficulty in identifying the overall damping of large and complex structures in the prior art.

[0134] It should be understood that the application of the present invention is not limited to the above examples. For ordinary technicians in this field, improvements or changes can be made based on the above description. All these improvements and changes should fall within the scope of protection of the claims attached to the present invention.

Claims

1. A structural overall damping identification method based on time domain response variance parameters, characterized in that: include: Acquire actual structural parameters, establish a finite element model, and adjust the frequency domain parameters and time domain response parameters of the finite element model according to a preset overall damping ratio; The time domain response parameters and impulse response data corresponding to the finite element model under various overall damping conditions are calculated according to the time domain response parameters; An overall damping regression equation is constructed according to the time domain response parameters and impulse response data corresponding to various overall damping conditions, and the actual structure is identified by the overall damping regression equation to obtain the overall damping of the actual structure; The step of calculating the time domain response parameters and impulse response data corresponding to the finite element model under various overall damping conditions according to the time domain response parameters includes: According to the time domain response parameters, the time domain response parameters corresponding to the finite element model under various overall damping conditions are calculated in a random excitation manner; The time domain response parameters and impulse response data corresponding to the finite element model under various overall damping conditions are calculated according to the time domain response parameters, and further include: According to the time domain response parameters, random decrement technology is used to calculate the impulse response data corresponding to the finite element model under various overall damping conditions.

2. The structural overall damping identification method based on time domain response variance parameters according to claim 1 is characterized in that: The obtaining of actual structural parameters and establishing a finite element model comprises: The actual structural parameters are obtained, and the finite element model is established according to the actual structural parameters; wherein the frequency domain parameters of the finite element model are similar to the frequency domain parameters of the actual structure, and the time domain response parameters of the finite element model are similar to the time domain response parameters of the actual structure.

3. The structural overall damping identification method based on time domain response variance parameters according to claim 1 is characterized in that: The frequency domain parameters and time domain response parameters of the finite element model are obtained by adjusting the preset overall damping ratio, including: Obtaining the preset overall damping ratio; The parameters of the damper in the finite element model are adjusted according to the preset overall damping ratio to obtain the frequency domain parameters and time domain response parameters of the finite element model.

4. The structural overall damping identification method based on time domain response variance parameters according to claim 1 is characterized in that: The random reduction technique is used to calculate the impulse response data of the finite element model under various overall damping conditions, including: Applying random loads to the finite element model to obtain corresponding random response data; The random response data is converted into corresponding impulse response data using the random reduction technique.

5. The structural overall damping identification method based on time domain response variance parameters according to claim 1 is characterized in that: The overall damping regression equation is constructed according to the impulse response data corresponding to a plurality of overall damping conditions, including: Constructing a data set of impulse response data corresponding to the plurality of overall damping conditions; Calculate and obtain the variance parameter of the data set corresponding to the impulse response data; Performing regression analysis on the variance parameter and the preset overall damping ratio; The correlation coefficient between the variance parameter and the preset overall damping ratio is obtained through a univariate linear regression equation.

6. The structural overall damping identification method based on time domain response variance parameters according to claim 5 is characterized in that: The step of constructing a data set of impulse response data corresponding to the plurality of overall damping conditions comprises: The maximum and minimum values ​​of the impulse response data are obtained, and a data set of the corresponding impulse response data under the various overall damping conditions is constructed.

7. The structural overall damping identification method based on time domain response variance parameters according to claim 5 is characterized in that: The calculating and obtaining the variance parameter of the data set corresponding to the impulse response data includes: According to the data set of the impulse response data, a variance parameter of the data set corresponding to the impulse response data is calculated.

8. The structural overall damping identification method based on time domain response variance parameters according to claim 5 is characterized in that: The performing regression analysis on the variance parameter and the preset overall damping ratio comprises: According to the variance parameters of the data set corresponding to the impulse response data, the variance parameters and the preset overall damping ratio are subjected to regression analysis to obtain an overall damping regression equation of the variance parameters and the preset overall damping ratio.

9. The structural overall damping identification method based on time domain response variance parameters according to claim 5 is characterized in that: The step of obtaining the correlation coefficient between the variance parameter and the preset overall damping ratio through a univariate linear regression equation includes: According to the variance parameter and the preset overall damping ratio, a correlation coefficient between the variance parameter and the preset overall damping ratio is obtained through a univariate linear regression equation.

10. The structural overall damping identification method based on time domain response variance parameters according to claim 1 is characterized in that: The overall damping regression equation is constructed according to the time domain response parameters and impulse response data corresponding to a plurality of overall damping conditions, and the actual structure is identified by the overall damping regression equation to obtain the overall damping of the actual structure, including: Establishing an overall damping regression equation of the variance parameter and the preset overall damping ratio according to a correlation coefficient between the variance parameter and the preset overall damping ratio; The overall damping of the actual structure is identified by using the overall damping regression equation, and the variance parameter of the data set corresponding to the impulse response data is substituted into the overall damping regression equation to obtain the overall damping of the actual structure.

11. A structural overall damping identification device based on time domain response variance parameters, characterized in that: include: A finite element model building module, used to obtain actual structural parameters, build a finite element model, and adjust the frequency domain parameters and time domain response parameters of the finite element model according to a preset overall damping ratio; A time domain and frequency domain response module, used to calculate the time domain response parameters and impulse response data corresponding to the finite element model under various overall damping conditions according to the time domain response parameters; According to the time domain response parameters, the time domain response parameters corresponding to the finite element model under various overall damping are calculated in a random excitation manner; according to the time domain response parameters, the impulse response data corresponding to the finite element model under various overall damping are calculated using a random reduction technique; The overall damping identification module is used to construct an overall damping regression equation according to the time domain response parameters and impulse response data corresponding to various overall damping conditions, and identify the actual structure through the overall damping regression equation to obtain the overall damping of the actual structure.

12. A terminal, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the structural overall damping identification method based on time domain response variance parameters as described in any one of claims 1 to 10.

13. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the structural overall damping identification method based on time domain response variance parameters as described in any one of claims 1 to 10.

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