CN117077487A - Method and device for identifying integral damping of structure based on time domain response variance parameter - Google Patents
Method and device for identifying integral damping of structure based on time domain response variance parameter Download PDFInfo
- Publication number
- CN117077487A CN117077487A CN202311048871.6A CN202311048871A CN117077487A CN 117077487 A CN117077487 A CN 117077487A CN 202311048871 A CN202311048871 A CN 202311048871A CN 117077487 A CN117077487 A CN 117077487A
- Authority
- CN
- China
- Prior art keywords
- parameters
- integral damping
- time domain
- damping
- integral
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000013016 damping Methods 0.000 title claims abstract description 242
- 230000004044 response Effects 0.000 title claims abstract description 188
- 238000000034 method Methods 0.000 title claims abstract description 52
- 238000005516 engineering process Methods 0.000 claims abstract description 10
- 238000012417 linear regression Methods 0.000 claims description 12
- 238000000611 regression analysis Methods 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 9
- 230000005284 excitation Effects 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000004088 simulation Methods 0.000 description 4
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000021715 photosynthesis, light harvesting Effects 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000013101 initial test Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000012353 t test Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/11—Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/08—Probabilistic or stochastic CAD
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Mathematical Physics (AREA)
- Data Mining & Analysis (AREA)
- Pure & Applied Mathematics (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- General Engineering & Computer Science (AREA)
- Operations Research (AREA)
- Algebra (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- Geometry (AREA)
- Evolutionary Computation (AREA)
- Computer Hardware Design (AREA)
- Life Sciences & Earth Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Probability & Statistics with Applications (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Abstract
The invention discloses a method and a device for identifying integral damping of a structure based on a time domain response variance parameter, wherein the method comprises the following steps: acquiring actual structural parameters, establishing a finite element model, and adjusting to obtain frequency domain parameters and time response parameters of the finite element model according to a preset integral damping ratio; calculating according to the time domain response parameters to obtain corresponding time domain response parameters and impulse response data of the finite element model under various overall damping; and constructing an integral damping regression equation according to the corresponding time domain response parameters and impulse response data under various integral damping, and identifying the actual structure through the integral damping regression equation to obtain the integral damping of the actual structure. The invention provides a novel structure integral damping identification method, which predicts the integral damping of a structure by using a regression equation of variance parameters and the integral damping of the structure and solves the problem that the prior exploration technology cannot accurately quantify the structural damping.
Description
Technical Field
The invention belongs to the field of structural dynamics, and particularly relates to a method and a device for identifying integral damping of a structure based on a time domain response variance parameter.
Background
The overall damping of the structure is a parameter reflecting the energy dissipation during vibration of the structure, is one of the key factors affecting the dynamic response of the structure, and is closely related to structural boundary conditions, as well as changes in the external environment and operation, damage or other internal defects. Accurate assessment of the overall damping of the structure is critical to ensuring structural stability.
However, due to the complexity of the structure and energy dissipation process, it is difficult for existing survey techniques to accurately quantify the structure damping. Particularly for large civil structures, the damping of the large structures is greatly influenced by the environment and the running conditions, so that the damping of the large structures is more difficult to identify.
There is a need for a simple and accurate technique for identifying the damping of a structural integrity.
Disclosure of Invention
The invention aims to solve the technical problem that the method and the device for identifying the integral damping of the structure based on the time domain response variance parameter are provided for solving the problem that the prior exploration technology cannot accurately quantify the damping of the structure.
The technical scheme adopted for solving the technical problems is as follows:
in a first aspect, the present invention provides a method for identifying structural integral damping based on a time domain response variance parameter, including:
acquiring actual structural parameters, establishing a finite element model, and adjusting according to a preset integral damping ratio to obtain frequency domain parameters and time response parameters of the finite element model;
calculating according to the time domain response parameters to obtain corresponding time domain response parameters and impulse response data of the finite element model under various overall damping;
and constructing an integral damping regression equation according to the corresponding time domain response parameters and impulse response data under various integral damping, and identifying an actual structure through the integral damping regression equation to obtain the integral damping of the actual structure.
In one implementation manner, the method for identifying the integral damping of the structure based on the time domain response variance parameter, the step of obtaining the actual structural parameter and establishing a finite element model, includes:
acquiring the actual structural parameters, and establishing the finite element model according to the actual structural parameters; the frequency domain parameters of the finite element model are similar to those of the actual structure, and the time domain response parameters of the finite element model are similar to those of the actual structure.
In one implementation manner, the adjusting to obtain the frequency domain parameter and the time domain response parameter of the finite element model according to the preset overall damping ratio includes:
acquiring the preset integral damping ratio;
and adjusting parameters of the damper in the finite element model according to the preset integral damping ratio to obtain frequency domain parameters and time response parameters of the finite element model.
In one implementation manner, the calculating according to the time domain response parameter to obtain the time domain response parameter and impulse response data corresponding to the finite element model under multiple overall damping includes:
and calculating the time domain response parameters corresponding to the finite element model under various overall damping in a random excitation mode according to the time domain response parameters.
In one implementation manner, the calculating according to the time domain response parameter obtains a time domain response parameter and impulse response data corresponding to the finite element model under multiple overall damping, and the method further includes:
and calculating to obtain impulse response data corresponding to the finite element model under various integral damping by adopting a random decrement technology according to the time domain response parameters.
In one implementation manner, the calculating by adopting the random decrement technology to obtain the impulse response data corresponding to the finite element model under a plurality of integral damping includes:
applying random load to the finite element model to obtain corresponding random response data;
and converting the random response data into corresponding impulse response data by adopting the random decrement technology.
In one implementation, the constructing the integral damping regression equation according to the corresponding impulse response data under the plurality of integral damping includes:
constructing a data set of corresponding impulse response data under the plurality of integral damping;
calculating to obtain variance parameters of the data set corresponding to the impulse response data;
carrying out regression analysis on the variance parameter and the preset integral damping ratio;
and obtaining the correlation coefficient of the variance parameter and the preset integral damping ratio through a unitary linear regression equation.
In one implementation, the constructing a dataset of corresponding impulse response data under the plurality of integral damping includes:
and acquiring the maximum value and the minimum value of the impulse response data, and constructing a data set of the impulse response data corresponding to the plurality of types of integral damping.
In one implementation, the calculating obtains a variance parameter of the corresponding dataset of the impulse response data, including:
and calculating the variance parameter of the data set corresponding to the impulse response data according to the data set of the impulse response data.
In one implementation, the regression analysis of the variance parameter and the preset overall damping ratio includes:
and carrying out regression analysis on the variance parameter and the preset integral damping ratio according to the variance parameter of the data set corresponding to the impulse response data to obtain an integral damping regression equation of the variance parameter and the preset integral damping ratio.
In one implementation, the obtaining the correlation coefficient of the variance parameter and the preset overall damping ratio through a unitary linear regression equation includes:
and obtaining a correlation coefficient of the variance parameter and the preset integral damping ratio through a unitary linear regression equation according to the variance parameter and the preset integral damping ratio.
In one implementation manner, the constructing an overall damping regression equation according to the corresponding time domain response parameters and impulse response data under multiple overall damping, and identifying an actual structure through the overall damping regression equation to obtain the overall damping of the actual structure includes:
establishing an integral damping regression equation of the variance parameter and the preset integral damping ratio according to the correlation coefficient of the variance parameter and the preset integral damping ratio;
and carrying out structure integral damping identification on the actual structure through the integral damping regression equation, and substituting the variance parameter of the data set corresponding to the impulse response data into the integral damping regression equation to obtain the integral damping of the actual structure.
In a second aspect, the present invention provides a structural integral damping identification device based on a time domain response variance parameter, including:
the finite element model building module is used for obtaining actual structural parameters, building a finite element model and adjusting frequency domain parameters and time response parameters of the finite element model according to a preset integral damping ratio;
the time domain and frequency domain response module is used for calculating and obtaining time domain response parameters and impulse response data corresponding to the finite element model under various overall damping according to the time domain response parameters;
and the integral damping identification module is used for constructing an integral damping regression equation according to the corresponding time domain response parameters and impulse response data under various integral damping, and identifying the actual structure through the integral damping regression equation to obtain the integral damping of the actual structure.
In a third aspect, the present invention also provides a terminal, including: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the program to implement the method for identifying structural integrity damping based on time domain response variance parameters as described in the first aspect.
In a fourth aspect, the present invention also provides a computer readable storage medium having stored thereon a computer program for execution by a processor for implementing the method for identifying structural integrity damping based on time domain response variance parameters as described in the first aspect.
The technical scheme adopted by the invention has the following effects:
according to the invention, by acquiring the structural parameters and establishing the finite element model, the frequency domain parameters and time response data of the structure can be obtained by adjusting the model according to different overall damping ratios, and the corresponding data set constructed by the extreme points is obtained by conversion through calculation, so that the overall damping of the structure can be predicted according to the variance parameters of the data set and the regression equation of the overall damping of the structure; the method predicts the integral damping of the structure by using the regression equation of the variance parameter and the integral damping of the structure, and solves the problem that the prior exploration technology cannot accurately quantify the structural damping.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to the structures shown in these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method of structural ensemble damping identification based on a time domain response variance parameter in one implementation of the present invention.
FIG. 2 is a specific flow chart of a method for identifying structural damping based on time domain response variance parameters in one implementation of the invention.
FIG. 3 is a finite element model built in an embodiment in one implementation of the invention.
FIG. 4 is a response of a finite element model under random loading in an embodiment of the invention.
Fig. 5 is an impulse response resulting from a random decrement technique and a random response in an embodiment of the invention.
FIG. 6 is a regression diagram of the variance parameter and the overall damping of the structure in an embodiment of the invention.
Fig. 7 is a functional schematic of a terminal in one implementation of the invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more clear and clear, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Exemplary method
The prior art of surveying has difficulty in accurately quantifying the damping of a structure. Particularly for large civil structures, the damping of the large structures is greatly influenced by the environment and the running conditions, so that the damping of the large structures is more difficult to identify.
Aiming at the technical problems, the embodiment of the invention provides a method for identifying the integral damping of a structure based on a time domain response variance parameter, which predicts the integral damping of the structure by using a regression equation of the variance parameter and the integral damping of the structure and solves the problem that the prior art of surveying cannot accurately quantify the structural damping.
As shown in fig. 1, an embodiment of the present invention provides a method for identifying structural integral damping based on a time domain response variance parameter, including the following steps:
and S100, acquiring actual structural parameters, establishing a finite element model, and adjusting to obtain frequency domain parameters and time response parameters of the finite element model according to a preset integral damping ratio.
In this embodiment, a detailed description is made of a specific implementation of the method for identifying structural integral damping based on time domain response variance parameters based on a simplified finite element model of an offshore wind turbine; of course, the finite element model in the present embodiment is not limited to the simplified model of the offshore wind turbine, and may be another simplified model of a building, such as a tall building, a landmark building, or another engineering building.
The implementation is based on an actual building structure of the offshore wind turbine, the parameters of the actual structure are obtained, the obtained parameters of the actual structure are used in simulation software of the finite element model to establish and obtain a corresponding finite element model, and after the finite element model is established and obtained, the finite element model can be adjusted according to the preset integral damping ratio parameters, so that the frequency domain parameters and the time domain corresponding parameters corresponding to each integral damping ratio are obtained.
Specifically, in one implementation manner of the present embodiment, step S100 includes the following steps:
step S110, acquiring the actual structural parameters, and establishing the finite element model according to the actual structural parameters;
in step S110, the frequency domain parameters of the finite element model are similar to those of the actual structure, and the time domain response parameters of the finite element model are similar to those of the actual structure;
step S120, obtaining the preset integral damping ratio;
and step S130, adjusting parameters of the damper in the finite element model according to the preset integral damping ratio to obtain frequency domain parameters and time response parameters of the finite element model.
In this embodiment, a corresponding finite element model is built through simulation software based on specific parameters of an actual structure, so as to obtain a finite element model with frequency domain parameters and time domain response parameters similar to those of the actual structure, then parameters of dampers in the finite element model are adjusted through a preset integral damping ratio, and finally corresponding frequency domain parameters and time domain response parameters of the finite element model under different integral damping ratios are obtained.
As shown in fig. 3, in the present embodiment, the simplified finite element model of the offshore wind turbine can be obtained by simulation by ANSYS software, which is large-scale general finite element analysis software capable of performing solid modeling according to actual structural parameters, and the upper structure of the finite element model is built by BEAM units (BEAM 188) in the software according to corresponding actual structural parameters, and the soil-structure interactions are modeled by nonlinear springs (COMBIN 39) and damper units (COMBIN 14), respectively. After the finite element model is built, the change of the structural damping is realized by adjusting the relevant parameters of the damper in the finite element model, so that the corresponding frequency domain parameters and time domain response parameters are obtained, wherein the coefficients of the damper (namely the preset integral damping coefficients) are set to 10000 and 1000,100,10,8,5,1,0.1,0.01,0.001,0.0001 in total to 11 types.
In this embodiment, an accurate finite element model is built based on an actual structure, so that frequency domain parameters and time domain response parameters of the finite element model should be similar to those of the actual structure, and after the finite element model is obtained by simulation, the overall damping ratio of the finite element model can be adjusted according to the 11 damping coefficients set as described above.
According to the embodiment, the model of the actual building structure in real life can be accurately obtained through simulation by adopting ANSYS software, and in the ANSYS software, through setting various different integral damping ratio parameters, corresponding frequency domain parameters and corresponding time domain parameters of the actual structure under the action of different integral damping ratios can be obtained through simulation, so that structural parameters of the actual structure in a certain time can be simulated according to the parameters.
As shown in fig. 1, an embodiment of the present invention provides a method for identifying structural integral damping based on a time domain response variance parameter, including the following steps:
step S200, calculating to obtain time domain response parameters and impulse response data corresponding to the finite element model under various overall damping according to the time domain response parameters.
In this embodiment, an accurate finite element model is built based on an actual structure, and 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 of the calculated time domain response parameters is random excitation.
In this embodiment, as shown in fig. 4, first, a random load (i.e., random excitation) is applied to the finite element model by ANSYS software to obtain different time domain response parameters, and then a random decrement technique is used to convert the time domain response parameters into impulse response data, so as to obtain impulse response data of the finite element model under different overall damping.
In this embodiment, as shown in fig. 5, based on the time domain response parameter, a random decrement technique is adopted to obtain impulse response data of structures under the overall damping of different structures, and the steps are as follows:
assume that the time history x (t) of the system stationary time domain response parameter has been obtained, which has an average value of 0. Let x=a and x (t) intersect at a point, x (t) =a, k=1, 2,..s. From each point, a sample x (T-) of length T is taken, the sample length T being long enough, and the average of the taken samples is calculated to obtain impulse response data under initial test conditions.
Specifically, in one implementation manner of the present embodiment, step S200 includes the following steps:
step S210, calculating to obtain corresponding time domain response parameters of the finite element model under various overall damping in a random excitation mode according to the time domain response parameters;
step S220, according to the time domain response parameters, calculating to obtain impulse response data corresponding to the finite element model under various overall damping by adopting a random decrement technology.
In one implementation of the present embodiment, step S220 includes the steps of:
step S221, applying random load to the finite element model to obtain corresponding random response data;
step S222, converting the random response data into corresponding impulse response data by using the random decrement technique.
As shown in fig. 1, an embodiment of the present invention provides a method for identifying structural integral damping based on a time domain response variance parameter, including the following steps:
and step S300, constructing an integral damping regression equation according to corresponding time domain response parameters and impulse response data under various integral damping, and identifying an actual structure through the integral damping regression equation to obtain integral damping of the actual structure.
In this embodiment, the maximum value and the minimum value in the impulse response data corresponding to each overall damping of the finite element model are selected first, then the data set corresponding to the overall damping is constructed, and finally the variance of each data set is calculated.
In this embodiment, regression analysis is performed on variances of each data set and corresponding overall damping to obtain a regression equation between each variance parameter and corresponding overall damping, and the specific steps are as follows:
according to the existing data and relation between the variance parameter and the corresponding integral damping, the regression equation is initially assumed to be in the form of a unitary linear regression equation, the correlation coefficient and the linear verification are obtained through the unitary linear regression equation, so that a reasonable regression coefficient is obtained, a corresponding regression equation is built, the built regression equation is checked, and therefore the interval between the variance parameter and the corresponding integral damping is estimated.
In this embodiment, the identifying the structural overall damping of the actual structure by using the regression equation of the variance parameter and the corresponding overall damping ratio specifically includes: firstly calculating variance parameters of time domain response parameters under different integral damping, and substituting corresponding variance parameters into a regression equation of the variance parameters and the corresponding integral damping ratio, so that integral damping corresponding to an actual structure is obtained.
Specifically, in one implementation manner of the present embodiment, step S300 includes the following steps:
step S310, constructing a data set of corresponding impulse response data under various overall damping;
step S320, calculating to obtain variance parameters of the data set corresponding to the impulse response data;
step S330, carrying out regression analysis on the variance parameter and the preset integral damping ratio;
step S340, obtaining a correlation coefficient of the variance parameter and the preset integral damping ratio through a unitary linear regression equation;
in this embodiment, as shown in fig. 6, by selecting the independent variable x as the variance parameter and the dependent variable y as the integral damping ratio, performing regression analysis on the variance parameter and the integral damping ratio, and drawing a scatter diagram of the variable, it can be known that the variance parameter and the integral damping ratio of the structure have a better linear negative correlation relationship, where the Pearson correlation coefficient is used to measure whether the data set of the variance parameter and the integral damping ratio is located on a line, and is used to measure the linear relationship between the fixed distance variables, and before performing the regression analysis, the correlation between the variance parameter and the integral damping ratio of the structure is analyzed, so as to obtain a Pearson correlation coefficient r= -0.95556, and it can be seen that the variance parameter and the integral damping ratio of the structure have a better linear negative correlation. Therefore, a unitary linear regression equation is selected for regression analysis.
Step S350, establishing an integral damping regression equation of the variance parameter and the preset integral damping ratio according to the correlation coefficient of the variance parameter and the preset integral damping ratio;
and step S360, carrying out structure integral damping identification on the actual structure through the integral damping regression equation, and substituting the variance parameter of the data set corresponding to the impulse response data into the integral damping regression equation to obtain the integral damping of the actual structure.
Specifically, in one implementation manner of the present embodiment, step S310 includes the following steps:
step S311, obtaining the maximum value and the minimum value of the impulse response data, and constructing a dataset of the impulse response data corresponding to the plurality of integral damping.
In this embodiment, when the maximum value and the minimum value in the impulse response data corresponding to each overall damping of the finite element model are selected, about 1.5 seconds of each set of damping curves are taken, 24 extreme points, 12 maximum values and 12 minimum values are taken, and the overall damping ratio and the variance parameters of the mechanism after adjustment are shown in table 1.
TABLE 1
Specifically, in one implementation manner of the present embodiment, step S320 includes the following steps:
step S321, calculating the variance parameter of the data set corresponding to the impulse response data according to the data set of the impulse response data.
Specifically, in one implementation manner of the present embodiment, step S330 includes the following steps:
and step 331, carrying out regression analysis on the variance parameter and the preset integral damping ratio according to the variance parameter of the data set corresponding to the impulse response data to obtain an integral damping regression equation of the variance parameter and the preset integral damping ratio.
Specifically, in one implementation manner of the present embodiment, step S340 includes the following steps:
step S341, obtaining a correlation coefficient of the variance parameter and the preset integral damping ratio through a unitary linear regression equation according to the variance parameter and the preset integral damping ratio.
In this example, as can be seen from the data in tables 2-4, the unitary linear regression equation is y= -0.8365x+0.2042, the corrected R2 is 0.9034, and the variables in the model together explain 90.34% of the variation in Y, so that the regression equation results are better, both the Significa F and the p-value of the t test approach 0, which is far less than 0.05, and the regression equation can be considered to have statistical Significance.
TABLE 2
TABLE 3 Table 3
TABLE 4 Table 4
In this embodiment, the obtained regression curve is adopted to predict the overall damping ratio of the structure, as shown in table 5, the deviation between the predicted value and the actual value is basically less than 1%, so that the overall damping recognition method of the structure based on the time domain response variance parameter can be considered to accurately evaluate the overall damping of the structure.
TABLE 5
The following technical effects are achieved through the technical scheme:
according to the invention, by acquiring the structural parameters and establishing the finite element model, the frequency domain parameters and time response data of the structure can be obtained by adjusting the model according to different overall damping ratios, and the corresponding data set constructed by the extreme points is obtained by conversion through calculation, so that the overall damping of the structure can be predicted according to the variance parameters of the data set and the regression equation of the overall damping of the structure; the method predicts the integral damping of the structure by using the regression equation of the variance parameter and the integral damping of the structure, and solves the problem that the prior exploration technology cannot accurately quantify the structural damping.
Exemplary apparatus
Based on the above embodiment, the present invention further provides a device for identifying structural integral damping based on a time domain response variance parameter, including:
the finite element model building module is used for obtaining actual structural parameters, building a finite element model and adjusting frequency domain parameters and time response parameters of the finite element model according to a preset integral damping ratio;
the time domain and frequency domain response module is used for calculating and obtaining time domain response parameters and impulse response data corresponding to the finite element model under various overall damping according to the time domain response parameters;
and the integral damping identification module is used for constructing an integral damping regression equation according to the corresponding time domain response parameters and impulse response data under various integral damping, and identifying the actual structure through the integral damping regression equation to obtain the integral damping of the actual structure.
Exemplary apparatus
Based on the above embodiment, the present invention further provides a terminal, a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor executes the program to implement the method for identifying structural overall damping based on time domain response variance parameters as described above.
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 for implementing a method of structural overall damping identification based on time domain response variance parameters as described above.
Those skilled in the art will appreciate that implementing all or part of the above-described methods may be accomplished by way of a computer program comprising instructions for the relevant hardware, the computer program being stored on a non-volatile storage medium, the computer program when executed comprising the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory.
In summary, the invention provides a method, a terminal and a storage medium for identifying integral damping of a structure based on a time domain response variance parameter, wherein the method comprises the following steps: acquiring actual structural parameters, establishing a finite element model, and adjusting to obtain frequency domain parameters and time response parameters of the finite element model according to a preset integral damping ratio; calculating according to the time domain response parameters to obtain corresponding time domain response parameters and impulse response data of the finite element model under various overall damping; and constructing an integral damping regression equation according to the corresponding time domain response parameters and impulse response data under various integral damping, and identifying the actual structure through the integral damping regression equation to obtain the integral damping of the actual structure. The invention provides a novel structure integral damping identification method which is simple and easy to implement and solves the problem that the prior art is difficult to identify the integral damping of a large complex structure.
It is to be understood that the invention is not limited in its application to the examples described above, but is capable of modification and variation in light of the above teachings by those skilled in the art, and that all such modifications and variations are intended to be included within the scope of the appended claims.
Claims (15)
1. The method for identifying the integral damping of the structure based on the time domain response variance parameter is characterized by comprising the following steps:
acquiring actual structural parameters, establishing a finite element model, and adjusting according to a preset integral damping ratio to obtain frequency domain parameters and time response parameters of the finite element model;
calculating according to the time domain response parameters to obtain corresponding time domain response parameters and impulse response data of the finite element model under various overall damping;
and constructing an integral damping regression equation according to the corresponding time domain response parameters and impulse response data under various integral damping, and identifying an actual structure through the integral damping regression equation to obtain the integral damping of the actual structure.
2. The method for identifying the integral damping of a structure based on time domain response variance parameters according to claim 1, wherein the obtaining actual structural parameters and establishing a finite element model comprise:
acquiring the actual structural parameters, and establishing the finite element model according to the actual structural parameters; the frequency domain parameters of the finite element model are similar to those of the actual structure, and the time domain response parameters of the finite element model are similar to those of the actual structure.
3. The method for identifying the overall damping of the structure based on the time domain response variance parameter according to claim 1, wherein the step of obtaining the frequency domain parameter and the time domain response parameter of the finite element model according to the adjustment of the preset overall damping ratio comprises the following steps:
acquiring the preset integral damping ratio;
and adjusting parameters of the damper in the finite element model according to the preset integral damping ratio to obtain frequency domain parameters and time response parameters of the finite element model.
4. The method for identifying structural integral damping based on time domain response variance parameters according to claim 1, wherein the calculating according to the time domain response parameters to obtain the time domain response parameters and impulse response data corresponding to the finite element model under a plurality of integral damping comprises:
and calculating the time domain response parameters corresponding to the finite element model under various overall damping in a random excitation mode according to the time domain response parameters.
5. The method for identifying structural integral damping based on time domain response variance parameters according to claim 1, wherein the time domain response parameters and impulse response data corresponding to the finite element model under a plurality of integral damping are obtained by calculation according to the time domain response parameters, and further comprising:
and calculating to obtain impulse response data corresponding to the finite element model under various integral damping by adopting a random decrement technology according to the time domain response parameters.
6. The method for identifying structural integral damping based on time domain response variance parameters according to claim 5, wherein the calculating by using a random decrement technique to obtain impulse response data corresponding to the finite element model under a plurality of integral damping comprises:
applying random load to the finite element model to obtain corresponding random response data;
and converting the random response data into corresponding impulse response data by adopting the random decrement technology.
7. The method for identifying integral damping of a structure based on time domain response variance parameters according to claim 1, wherein constructing an integral damping regression equation based on impulse response data corresponding to a plurality of integral damping comprises:
constructing a data set of corresponding impulse response data under the plurality of integral damping;
calculating to obtain variance parameters of the data set corresponding to the impulse response data;
carrying out regression analysis on the variance parameter and the preset integral damping ratio;
and obtaining the correlation coefficient of the variance parameter and the preset integral damping ratio through a unitary linear regression equation.
8. The method for identifying structural integral damping based on time domain response variance parameters of claim 7, wherein said constructing a dataset of corresponding impulse response data under said plurality of integral damping comprises:
and acquiring the maximum value and the minimum value of the impulse response data, and constructing a data set of the impulse response data corresponding to the plurality of types of integral damping.
9. The method for identifying structural integrity damping based on time domain response variance parameters of claim 7, wherein said calculating results in variance parameters of said impulse response data corresponding data set, comprising:
and calculating the variance parameter of the data set corresponding to the impulse response data according to the data set of the impulse response data.
10. The method for identifying structural integral damping based on time domain response variance parameters according to claim 7, wherein performing regression analysis on the variance parameters and the preset integral damping ratio comprises:
and carrying out regression analysis on the variance parameter and the preset integral damping ratio according to the variance parameter of the data set corresponding to the impulse response data to obtain an integral damping regression equation of the variance parameter and the preset integral damping ratio.
11. The method for identifying structural integral damping based on time domain response variance parameters according to claim 7, wherein obtaining the correlation coefficient of the variance parameters and the preset integral damping ratio by using a unitary linear regression equation comprises:
and obtaining a correlation coefficient of the variance parameter and the preset integral damping ratio through a unitary linear regression equation according to the variance parameter and the preset integral damping ratio.
12. The method for identifying integral damping of a structure based on time domain response variance parameters according to claim 1, wherein constructing an integral damping regression equation according to time domain response parameters and impulse response data corresponding to a plurality of integral damping, and identifying an actual structure by the integral damping regression equation to obtain integral damping of the actual structure, comprises:
establishing an integral damping regression equation of the variance parameter and the preset integral damping ratio according to the correlation coefficient of the variance parameter and the preset integral damping ratio;
and carrying out structure integral damping identification on the actual structure through the integral damping regression equation, and substituting the variance parameter of the data set corresponding to the impulse response data into the integral damping regression equation to obtain the integral damping of the actual structure.
13. The utility model provides a structure integral damping recognition device based on time domain response variance parameter which characterized in that includes:
the finite element model building module is used for obtaining actual structural parameters, building a finite element model and adjusting frequency domain parameters and time response parameters of the finite element model according to a preset integral damping ratio;
the time domain and frequency domain response module is used for calculating and obtaining time domain response parameters and impulse response data corresponding to the finite element model under various overall damping according to the time domain response parameters;
and the integral damping identification module is used for constructing an integral damping regression equation according to the corresponding time domain response parameters and impulse response data under various integral damping, and identifying the actual structure through the integral damping regression equation to obtain the integral damping of the actual structure.
14. A terminal, comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the program to implement the method of structural overall damping identification based on time domain response variance parameters as claimed in any one of claims 1-12.
15. A computer readable storage medium having stored thereon a computer program, wherein the program is executed by a processor for implementing the method of structural integral damping identification based on time domain response variance parameters of any one of claims 1-12.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311048871.6A CN117077487A (en) | 2023-08-17 | 2023-08-17 | Method and device for identifying integral damping of structure based on time domain response variance parameter |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311048871.6A CN117077487A (en) | 2023-08-17 | 2023-08-17 | Method and device for identifying integral damping of structure based on time domain response variance parameter |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117077487A true CN117077487A (en) | 2023-11-17 |
Family
ID=88701795
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311048871.6A Pending CN117077487A (en) | 2023-08-17 | 2023-08-17 | Method and device for identifying integral damping of structure based on time domain response variance parameter |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117077487A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101916242A (en) * | 2010-07-30 | 2010-12-15 | 中国海洋大学 | Non-traditional damping system damping matrix identifying method |
| CN104132791A (en) * | 2014-07-17 | 2014-11-05 | 浙江工业大学 | Operation mode analysis experiment method and device based on pulse excitation |
| CN107145620A (en) * | 2017-03-14 | 2017-09-08 | 浙江大学 | A kind of structural dynamic characteristic recognition methods based on Random Decrement Technique |
| CN108804766A (en) * | 2018-05-07 | 2018-11-13 | 中车青岛四方机车车辆股份有限公司 | The recognition methods of damping parameter |
-
2023
- 2023-08-17 CN CN202311048871.6A patent/CN117077487A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101916242A (en) * | 2010-07-30 | 2010-12-15 | 中国海洋大学 | Non-traditional damping system damping matrix identifying method |
| CN104132791A (en) * | 2014-07-17 | 2014-11-05 | 浙江工业大学 | Operation mode analysis experiment method and device based on pulse excitation |
| CN107145620A (en) * | 2017-03-14 | 2017-09-08 | 浙江大学 | A kind of structural dynamic characteristic recognition methods based on Random Decrement Technique |
| CN108804766A (en) * | 2018-05-07 | 2018-11-13 | 中车青岛四方机车车辆股份有限公司 | The recognition methods of damping parameter |
Non-Patent Citations (2)
| Title |
|---|
| 李小龙 等: "铜陵大桥钢绞线拉索的阻尼测试", 《第23届全国结构工程学术会议论文集（第III期）》, 10 October 2014 (2014-10-10), pages 98 - 106 * |
| 段志平 等: "结构阻尼识别的方法及比较", 《福州大学学报（自然科学版）》, vol. 33, 31 October 2005 (2005-10-31), pages 208 - 212 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111970163B (en) | Network flow prediction method of LSTM model based on attention mechanism | |
| WO2021164250A1 (en) | Turbulence field update method and apparatus, and related device | |
| CN111881023B (en) | Software aging prediction method and device based on multi-model comparison | |
| Solari et al. | Dynamic response of structures to thunderstorm outflows: Response spectrum technique vs time-domain analysis | |
| CN102110013A (en) | Method and apparatus for efficiently generating processor architecture model | |
| CN112927769B (en) | MOFs material defect structure prediction method based on pore size distribution curve | |
| CN115829297B (en) | Work package generation method, device, terminal and storage medium for assembly type building | |
| CN116089870A (en) | Industrial equipment fault prediction method and device based on meta-learning under small sample condition | |
| Tsalouchidis et al. | Amplitude scaling of ground motions as a potential source of bias: large‐scale investigations on structural drifts | |
| CN114048544B (en) | Aircraft structure response characteristic prediction method, device, equipment and medium | |
| Zorn et al. | Replacing energy simulations with surrogate models for design space exploration | |
| CN113949644A (en) | Method and system for predicting website access amount based on LSTM-prophet | |
| CN117077487A (en) | Method and device for identifying integral damping of structure based on time domain response variance parameter | |
| JP2005063208A (en) | Software reliability growth model selection method, software reliability growth model selection apparatus, software reliability growth model selection program and program recording medium | |
| US20230062268A1 (en) | System and method for fatigue response prediction | |
| CN113779391A (en) | Intelligent lock unlocking recommendation method, system and device based on modeling and storage medium | |
| CN113657656A (en) | Loan data analysis and prediction method and device | |
| JP2022124878A (en) | Weather prediction device | |
| Kapur et al. | Stochastic differential equation based SRGM for errors of different severity with testing-effort | |
| CN115130365A (en) | Fuel cell polarization curve prediction method and device based on recurrent neural network | |
| CN114077884A (en) | Model conversion optimization device and method of deep learning model and readable storage medium | |
| Cui et al. | Time-dependent reliability analysis for structures under multilevel loads based on fatigue damage theory | |
| CN115185805B (en) | Performance prediction method, system, equipment and storage medium of storage system | |
| KR102699113B1 (en) | Device and method for assessing the target company's ESG performance to predicting the target company's ESG performance data using estimation model | |
| CN117521482A (en) | Space variation side slope reliability analysis method and system based on machine learning algorithm |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |