Method and system for detecting subsequent service life of post-earthquake buckling restrained brace

Abstract

The invention provides a method and system for detecting the subsequent service life of a post-earthquake buckling restrained brace. The method belongs to the field of buckling restrained brace detection and comprises the following steps: acquiring vibration signals corresponding to different D values of the buckling restrained brace; processing the vibration signal by adopting a frequency response function difference method considering statistics to obtain AD values under different damages; constructing a relationship between the D value and the AD value; and determining the relationship between the D value and the subsequent service life according to the subsequent earthquake frequency degree of the area where the to-be-tested piece is located and the reliability required by the to-be-tested piece, and determining the relationship between the AD value and the subsequent service life according to the relationship between the D value and the AD value. The nondestructive testing of the buckling restrained brace is realized, and the integrity and the safety of the component are ensured.

Description

Technical Field

[0001] The present application relates to the field of buckling restrained brace detection, and in particular, to a method and system for detecting the subsequent service life of a post-earthquake buckling restrained brace. Background Art

[0002] The most intuitive way to detect damage to a buckling restrained brace is to observe its core plate. However, the surface of the core plate is covered with a wrapping material, which makes the deformation of the core plate invisible. The deformation of the core plate can only be observed after the wrapping material is removed; this hinders the identification of the core plate of the buckling restrained brace. In addition, naked eye observation can only determine whether the buckling restrained brace can continue to be used, and it is difficult to determine the subsequent service life. It is particularly important to propose a method to detect the damage state of the core plate after an earthquake to determine the subsequent service life. The existing technical methods are as follows:

[0003] (1) The invention patent with publication number CN118392478A and invention name "A performance failure detection system and method for dampers" installs the damper in the device for detection. It should be noted that the buckling restraint support is a damper. The defect of this solution is that the damper is installed inside the device, and the device will also be damaged after the earthquake, and it is impossible to remove the buckling restraint support from the device. In addition, the damage to the buckling restraint support is irreversible, and the buckling restraint support will be damaged during the disassembly process. Assuming that it can be disassembled for detection, the damage to the buckling restraint support will be aggravated after detection.

[0004] (2) The invention patent with publication number CN109540933A and invention name "A non-destructive flaw detection device for steel structure based on X-ray" is provided with a ray detection device to realize continuous detection of steel structure. Defects: (a) After the earthquake, the buckling restraint support will be in a damaged state because the component has plastic deformation. X-rays can only detect internal defects of components, but cannot detect plastic deformation of components.

[0005] (3) The invention patent with publication number CN117705953A and invention name "A damage detection method and system based on acoustic emission and tomography technology" is a new detection technology that effectively combines acoustic emission technology with tomography technology to improve the accuracy of damage detection and realizes accurate positioning and evaluation of micro-damage inside the material. Disadvantage: This detection method cannot be applied to the detection of the service life of buckling restrained braces. The reasons are as follows: The damage of the component is mainly concentrated in the core plate, and the outer periphery of the core plate is surrounded by an outer sheath. The transmitting device and the receiving device on the outer sheath cannot detect the damage of the core plate. Summary of the invention

[0006] The purpose of the present application is to provide a method and system for detecting the subsequent service life of a post-earthquake buckling restrained brace, which can perform non-destructive testing on the buckling restrained brace and accurately determine its subsequent service life.

[0007] This application is implemented as follows:

[0008] In a first aspect, the present application provides a method for detecting the subsequent service life of a post-seismic buckling restrained brace, comprising the following steps:

[0009] S1: Obtain vibration signals corresponding to different D values ​​of buckling restraint support;

[0010] S2: The frequency response function difference method considering statistics is used to process the vibration signal to obtain the AD value under different damages;

[0011] S3: construct the relationship between D value and AD value;

[0012] S4: According to the subsequent earthquake frequency in the area where the test piece is located and the reliability required by the test piece, the relationship between the D value and the subsequent service life is determined, and then the relationship between the AD value and the subsequent service life is determined based on the relationship between the D value and the AD value.

[0013] Based on the first aspect, obtaining vibration signals corresponding to different D values ​​of the buckling restrained support specifically includes:

[0014] The Miner linear damage theory criterion is used to calculate the D value of the buckling restrained support. Formula (1) is as follows:

[0015]

[0016] Where N i To maintain the number of loading cycles at the current stress level when the buckling restraint support fails, n i is the number of cycles applied at this stress level;

[0017] A sensor required for vibration detection is arranged at the detection position of the buckling restraint support;

[0018] Adjust the parameters of the signal receiving device;

[0019] An excitation device is used to excite one end of the buckling restraint support, and a signal receiving device is used to record the vibration signals of the excitation end and the response end.

[0020] Based on the first aspect, the specific steps of providing a sensor required for vibration detection at the detection position of the buckling restraint support include:

[0021] Two sensors required for vibration detection are set at the detection position of the buckling restraint support, and the positions are: in the long side direction of the buckling restraint support, they are set 50 mm away from the edge of the extended connecting section; in the short side direction, they are set in the middle position of the short side.

[0022] Based on the first aspect, the specific steps of adjusting the parameters of the signal receiving device include:

[0023] The sampling frequency is 2000 Hz; the duration is 0.5 s; the sampling amplitude is determined by the magnitude of the excitation and the distance between the two sensors.

[0024] Based on the first aspect, the frequency response function difference method considering statistics is used to process the vibration signal to obtain the AD value under different damages, including:

[0025] S2-1: Obtaining the response of environmental noise through sensors and signal receiving devices;

[0026] S2-2: Obtain vibration signals of the excitation end and the response end of the undamaged specimen, and perform noise reduction processing on the vibration signals of the excitation end and the response end according to the response of the environmental noise;

[0027] S2-3: Using signal processing methods, filter and normalize the vibration signal after noise reduction to obtain its frequency response function, and use this data as a basis to identify the damage of the test piece;

[0028] S2-4: performing steps S2-1 to S2-3 on the test piece to obtain a frequency response function;

[0029] S2-5: Make a statistical judgment. If the frequency response function of the test piece is statistically the same as the frequency response function of the undamaged test piece, the test piece is considered to be an undamaged component; otherwise, the test piece is considered to be a damaged component, and the preset method is used to calculate the AD value.

[0030] Based on the first aspect, the AD value is calculated using a preset method including:

[0031] Assume that the frequency response function conforms to the normal distribution, which satisfies the following formula (2):

[0032] |H(jω)|~N(μ(|H(jω)|),σ 2 (ω)) (2)

[0033] Where μ(H(jω)) is the mean value of the frequency response function amplitude, σ 2 (ω) is the amplitude variance of the frequency response function corresponding to a certain frequency, H(jω) is the frequency response function, N(μ,σ 2 ) indicates that the function conforms to the normal distribution, with mean μ and variance σ 2; When there is a difference between the frequency response functions of the test piece and the undamaged test piece, it is considered that the test piece is damaged; since both conform to the normal distribution, the difference between the two also conforms to the normal distribution, as shown in the following equations (3) to (5):

[0034] δ|H(jω)|~N(μ(δ|H(jω)|),δσ 2 (ω)) (3)

[0035] δ|H(jω)|=||H0(jω)|-|H u (jω)|| (4)

[0036]

[0037] Where δ|H(jω)| is the difference in the amplitude of the frequency response function, N(μ(δ|H(jω)|),δσ 2 (ω)) indicates that the function conforms to the normal distribution, with a mean of μ(δ|H(jω)|) and a variance of δσ 2 (ω), μ(δ|H(jω)|) is the mean value of the amplitude difference of the frequency response function, δσ 2 (ω) is the variance of the frequency response function amplitude difference, |H0(jω)| is the frequency response function amplitude of the undamaged component, |H u (jω)| is the amplitude of the frequency response function of the component to be tested, σ0 2 (ω) is the frequency response function variance of the undamaged component, σ u 2 (ω) is the frequency response function variance of the component to be tested;

[0038] The data is normalized to obtain the parameter Z, as shown in formula (6):

[0039]

[0040] Where Z is the standard quantile, which is used to evaluate the distance from the sample point to the overall mean, ω is the frequency, δ|H(jω)| is the difference in the amplitude of the frequency response function, and δσ 2 (ω) is the variance of the frequency response function amplitude difference, N(0,1) means that the function conforms to the normal distribution, its mean is 0, and its variance is 1; if Z remains within the confidence interval, that is, |Z|≤Z 1-α / 2 When , the null hypothesis is accepted, and the sample under test is considered to be undamaged, with a guarantee rate of 1-α / 2; otherwise, the alternative hypothesis is accepted, that is, |Z|>Z 1-α / 2 When , it is considered that the test piece is damaged; finally, a parameter is determined based on the test of Z to count the amplitude of the exceedance, which is defined as AD; as shown in the following formula (7):

[0041]

[0042] In the formula, AD is the parameter, ω is the frequency, |Z(ω)| is the absolute value of the function of Z related to ω, Z(ω) is greater than Z 1-α / 2 Part, Z 1-α / 2 Represents the standard quantile of 1-α / 2.

[0043] Based on the first aspect, step S3 specifically includes:

[0044] Multiple groups of vibration tests are performed on the buckling restrained braces with the same damage degree to obtain the corresponding AD values, and the corresponding mean and standard deviation are calculated. At the same time, the D value of the corresponding damage stage needs to be calculated together, and the D value and the AD value are linearly fitted to establish a fitting equation to obtain the relationship between the D value and the AD value.

[0045] In a second aspect, the present application provides a system for detecting the subsequent service life of a post-seismic buckling restrained brace, comprising:

[0046] Acquisition module: Acquisition of vibration signals corresponding to different D values ​​of buckling restraint support;

[0047] Processing module: The frequency response function difference method considering statistics is used to process the vibration signal to obtain the AD value under different damages;

[0048] Building module: building the relationship between D value and AD value;

[0049] Service life prediction module: According to the subsequent earthquake frequency in the area where the test piece is located and the reliability required by the test piece, the relationship between the D value and the subsequent service life is determined, and then the relationship between the AD value and the subsequent service life is determined based on the relationship between the D value and the AD value.

[0050] In a third aspect, the present application provides an electronic device, including:

[0051] A memory for storing one or more programs;

[0052] processor;

[0053] When one or more programs are executed by a processor, the above method is implemented.

[0054] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which implements the above method when executed by a processor.

[0055] Compared with the prior art, the present invention has at least the following advantages or beneficial effects:

[0056] It is only necessary to test the buckling restrained brace under a certain damage state to accurately determine its subsequent service life.

[0057] Non-destructive testing of buckling restrained braces was achieved, ensuring the integrity and safety of the components.

[0058] The existing technology cannot detect the damage of the internal object when there is a wrapping on the outside, but the present method can effectively detect the damage of the core board. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0060] Figure 1 A flowchart of a method for detecting the subsequent service life of a post-seismic buckling restrained brace is provided for this application;

[0061] Figure 2 A schematic diagram of performing vibration detection on a buckling restrained support in a method for detecting the subsequent service life of a buckling restrained support after an earthquake in the present application;

[0062] Figure 3 A schematic diagram of a method for detecting the subsequent service life of a buckling restrained brace after an earthquake in the present application, in which a sensor required for vibration detection is arranged at a detection position of the buckling restrained brace;

[0063] Figure 4 A schematic diagram of the relationship between the AD value and the subsequent service life in a method for detecting the subsequent service life of a post-seismic buckling restrained brace in this application;

[0064] Figure 5 A schematic diagram of the structure of a system for detecting the subsequent service life of a post-seismic buckling restrained support according to the present application;

[0065] Figure 6 This is a structural schematic diagram of an electronic device of the present application.

[0066] icon:

[0067] 1. Signal receiving device; 2. Excitation end; 3. Response end; 4. Buckling restraint support; 5. Detection part; 6. Acquisition module; 7. Processing module; 8. Construction module; 9. Service life prediction module; 10. Processor; 11. Memory; 12. Communication interface. DETAILED DESCRIPTION

[0068] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations.

[0069] In conjunction with the accompanying drawings, some embodiments of the present application are described in detail below. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0070] Example

[0071] After long-term research and practice, the inventors found that the most intuitive method for detecting damage to the buckling restrained brace 4 in the prior art is to observe its core plate, and the core plate surface is covered with a wrapping material so that the deformation of the core plate is not visible. After the earthquake, the wrapping material covering the core plate surface is difficult to remove due to damage, and forced removal is likely to cause damage to the buckling restrained brace 4. In addition, naked eye observation can only determine whether the buckling restrained brace 4 can continue to be used, and it is difficult to determine the subsequent service life.

[0072] In view of this, the present application provides a method for detecting the subsequent service life of the post-earthquake buckling restrained brace 4, which can perform non-destructive testing on the buckling restrained brace 4 and accurately determine its subsequent service life.

[0073] Please refer to Figure 1 , Figure 1 A flow chart of a method for detecting the subsequent service life of a post-seismic buckling restrained brace 4; the method comprises the following steps:

[0074] S1: Obtain vibration signals corresponding to different D values ​​of buckling restraint support 4;

[0075] Specifically, the D value is the damage degree, and the vibration signals of the buckling restrained support 4 at different damage degrees (expressed by the D value) are collected. The D value is an indicator to measure the damage degree of the support, including damage conditions such as cracks and deformation. The vibration signal is obtained from the support through a sensor, reflecting the vibration characteristics of the support when subjected to external forces such as earthquakes.

[0076] S2: The frequency response function difference method considering statistics is used to process the vibration signal to obtain the AD value under different damages;

[0077] Specifically, the frequency response function difference method considering statistics is used to analyze the vibration signal obtained in the previous step. The purpose of this method is to extract information that can reflect the degree of support damage from the vibration signal, namely the AD value. AD value definition: AD value is a quantitative indicator used to measure the degree of difference between the frequency response function of an undamaged component and the test piece. This degree of difference is the basis for judging whether the component is damaged. AD value is a parameter related to the degree of support damage obtained through signal processing.

[0078] S3: construct the relationship between D value and AD value;

[0079] Specifically, based on the previously obtained D value and AD value data, a mathematical relationship or model is established between them. This model can be used to infer the D value of the support, that is, the degree of damage, based on the AD value.

[0080] S4: According to the subsequent earthquake frequency in the area where the test piece is located and the reliability required by the test piece, the relationship between the D value and the subsequent service life is determined, and then the relationship between the AD value and the subsequent service life is determined based on the relationship between the D value and the AD value.

[0081] Specifically, consider the frequency of subsequent earthquakes in the area where the test piece (i.e., buckling restrained support 4) is located and the reliability required for the test piece, that is, the number and intensity of earthquakes that may be encountered in the future and the safety standards that the test piece needs to meet in its design and use. Based on these factors, determine the remaining service life (i.e., subsequent service life) of the support under different D values ​​(i.e., different degrees of damage). Then, through the relationship between the D value and the AD value established previously, the remaining service life is converted into an expression related to the AD value. With this setting, as long as the AD value of the support is known, its remaining service life can be estimated. For a schematic diagram of the relationship between the AD value and the subsequent service life, please refer to Figure 4 .

[0082] In summary, the present application provides a method for detecting the subsequent service life of the buckling restrained brace 4 after an earthquake, by collecting and analyzing the vibration signal of the buckling restrained brace 4 and using a specific signal processing technology to evaluate the remaining service life of the buckling restrained brace 4 after an earthquake. It is only necessary to perform the test under a certain damage state of the buckling restrained brace 4 to accurately determine its subsequent service life. Non-destructive testing of the buckling restrained brace 4 is achieved, ensuring the integrity and safety of the component.

[0083] In some embodiments of the present application, obtaining vibration signals corresponding to different D values ​​of the buckling restraining support 4 specifically includes:

[0084] Please refer to Figure 2 , Figure 2It is a schematic diagram of vibration detection of the buckling restraint support 4. The signal receiving device 1 uses an oscilloscope, and sets an excitation end 2 and a response end 3 at both ends of the detection part 5 of the buckling restraint support 4. By exciting one end of the buckling restraint support 4 once, the vibration signals of the excitation end 2 and the response end 3 are recorded.

[0085] S1-1: The D value of the buckling restrained brace 4 is calculated using the Miner linear damage theory criterion. Formula (1) is as follows:

[0086]

[0087] Where N i To maintain the number of loading cycles at the current stress level when the buckling restraint support 4 fails, n i is the number of cycles applied at this stress level;

[0088] Specifically, the linear cumulative damage theory believes that the fatigue damage of the buckling restrained support 4 at each stress level is independent, that is, the total damage is formed by the linear accumulation of the damage at each stress level. When the damage value accumulates to a certain extent, fatigue failure will occur. This embodiment uses the Miner linear damage theory criterion to calculate the damage value of the buckling restrained support 4. i To maintain the number of loading cycles at the failure of the buckling restraint support 4 at the current stress level, this means the number of loading cycles that the support can withstand before failure at a specific stress level; n i The D value is the number of cycles applied at this stress level, which indicates the number of loading cycles actually applied during the evaluation process. The D value reflects the degree of damage to the support at the current stress level.

[0089] S1-2: a sensor required for vibration detection is provided at the detection position 5 of the buckling restraint support 4;

[0090] Please refer to Figure 3 , Figure 3 The schematic diagram of setting the sensor required for vibration detection at the detection position 5 of the buckling restraint support 4 is shown. Preferably, two sensors required for vibration detection are set at the detection position 5 of the buckling restraint support 4, and the positions are: 50 mm away from the edge of the extended connection section in the long side direction of the buckling restraint support 4; and in the middle of the short side in the short side direction. The sensor can sense the vibration of the support when it is excited, and convert the vibration information into an electrical signal or other measurable form.

[0091] S1-3: Adjust parameters of signal receiving device 1;

[0092] Preferably, the signal receiving device 1 uses an oscilloscope with the following parameters: sampling frequency is 2000 Hz; duration is 0.5 s; the sampling amplitude is determined according to the magnitude of the excitation and the distance between the two sensors. The parameters of the signal receiving device 1 are adjusted to ensure that the vibration signal can be accurately and stably received.

[0093] S1-4: an excitation device is used to excite one end of the buckling restraint support 4, and a signal receiving device 1 is used to record vibration signals of the excitation end 2 and the response end 3.

[0094] Specifically, an excitation device is used to apply an excitation (such as knocking to generate impact force or vibration wave) to one end of the buckling restraint support 4. Then, a signal receiving device 1 is used to record vibration signals of the excitation end 2 (i.e., the position where the excitation is applied) and the response end 3 (i.e., the position on the support far from the excitation end 2). These vibration signals contain dynamic response information of the buckling restraint support 4 when it is excited, which can be used for subsequent analysis and processing.

[0095] Based on the first aspect, the frequency response function difference method considering statistics is used to process the vibration signal to obtain the AD value under different damages, including:

[0096] S2-1: Obtaining a response to environmental noise through a sensor and a signal receiving device 1;

[0097] Specifically, the "response" here refers to the sensor's perception and conversion of environmental noise, that is, the process in which the noise signal detected by the sensor is captured and processed by the receiving device. The sensor is used to detect the noise in the environment and convert the noise into processable signals, which are then captured and processed by the signal receiving device 1 to obtain information about the environmental noise. In the subsequent data processing, the influence of environmental noise on the test results can be accurately identified and removed.

[0098] S2-2: Obtain vibration signals of the excitation end 2 and the response end 3 of the undamaged specimen, and perform noise reduction processing on the vibration signals of the excitation end 2 and the response end 3 according to the response of the environmental noise;

[0099] Specifically, undamaged specimen: refers to a specimen that is not affected by damage or defects before testing. That is, there is no damaged buckling restraint support 4, excitation end 2: refers to the location where vibration or force is applied to excite the specimen to vibrate. Some form of vibrator or hammer can be used to generate excitation. Response end 3: This refers to the location on the specimen used to measure the vibration response, away from the excitation end 2. Sensors are installed at the response end 3 to capture vibration signals. Vibration signals: These are data collected from the response end 3 sensors, which describe the vibration behavior of the specimen under excitation. Noise reduction processing helps to analyze the vibration characteristics of the specimen more accurately.

[0100] S2-3: Using signal processing methods, filter and normalize the vibration signal after noise reduction to obtain its frequency response function, and use this data as a basis to identify the damage of the test piece;

[0101] Specifically, by analyzing the vibration signal after noise reduction, filtering and normalization, the frequency response function of the test piece can be obtained. The frequency response function (FRF) is a function that describes the frequency response of the system to the input excitation. In vibration analysis, the frequency response function is usually obtained by measuring the input (such as excitation force) and output (such as response acceleration) of the system, and is used to analyze the modal characteristics of the system (such as modal frequency, modal damping and modal shape). By comparing the frequency response function of the test piece with the frequency response function of the undamaged test piece, possible damage in the test piece can be detected. Damage usually causes changes in the modal characteristics of the test piece, such as a shift in the modal frequency, an increase in modal damping or a change in the modal shape. These changes can be detected and quantified by analyzing the frequency response function, thereby achieving an assessment of the damage state of the test piece.

[0102] S2-4: performing steps S2-1 to S2-3 on the test piece to obtain a frequency response function;

[0103] S2-5: Make a statistical judgment. If the frequency response function of the test piece is statistically the same as the frequency response function of the undamaged test piece, the test piece is considered to be an undamaged component; otherwise, the test piece is considered to be a damaged component, and the preset method is used to calculate the AD value.

[0104] Specifically, the statistical judgment includes calculating the difference between the two frequency response functions (such as root mean square error, correlation coefficient, etc.), and using statistical methods (such as hypothesis testing, confidence interval estimation, etc.) to determine whether these differences are significant. If the statistical judgment shows that there is no statistically significant difference between the frequency response function of the test piece and the frequency response function of the undamaged test piece (that is, the difference is within the allowable range), the test piece is considered to be an undamaged component. If the statistical judgment shows that there is a significant difference between the frequency response function of the test piece and the frequency response function of the undamaged test piece (that is, the difference exceeds the allowable range), it is considered that the test piece may be damaged. After determining that the test piece is a damaged component, a preset method needs to be used to calculate the AD value.

[0105] In some embodiments of the present invention, calculating the AD value using a preset method includes:

[0106] Assume that the frequency response function conforms to the normal distribution, which satisfies the following formula (2):

[0107] |H(jω)|~N(μ(|H(jω)|),σ 2 (ω)) (2)

[0108] Where μ(H(jω)) is the mean value of the frequency response function amplitude, σ 2 (ω) is the amplitude variance of the frequency response function corresponding to a certain frequency, H(jω) is the frequency response function, N(μ,σ 2 ) indicates that the function conforms to the normal distribution, with mean μ and variance σ 2 ; When there is a difference between the frequency response functions of the test piece and the undamaged test piece, it is considered that the test piece is damaged; since both conform to the normal distribution, the difference between the two also conforms to the normal distribution, as shown in the following equations (3) to (5):

[0109] δ|H(jω)|~N(μ(δ|H(jω)|),δσ 2 (ω)) (3)

[0110] δ|H(jω)|=||H0(jω)|-|H u (jω)|| (4)

[0111]

[0112] Where δ|H(jω)| is the difference in the amplitude of the frequency response function, N(μ(δ|H(jω)|),δσ 2 (ω)) indicates that the function conforms to the normal distribution, with a mean of μ(δ|H(jω)|) and a variance of δσ 2 (ω), μ(δ|H(jω)|) is the mean value of the amplitude difference of the frequency response function, δσ 2 (ω) is the variance of the frequency response function amplitude difference, |H0(jω)| is the frequency response function amplitude of the undamaged component, |H u (jω)| is the amplitude of the frequency response function of the component to be tested, σ0 2 (ω) is the frequency response function variance of the undamaged component, σ u 2 (ω) is the frequency response function variance of the component to be tested;

[0113] The data is normalized to obtain the parameter Z, as shown in formula (6):

[0114]

[0115] Where Z is the standard quantile, which is used to evaluate the distance from the sample point to the overall mean, ω is the frequency, δ|H(jω)| is the difference in the amplitude of the frequency response function, and δσ 2 (ω) is the variance of the frequency response function amplitude difference, N(0,1) means that the function conforms to the normal distribution, its mean is 0, and its variance is 1; if Z remains within the confidence interval, that is, |Z|≤Z 1-α / 2When , the null hypothesis is accepted, and the sample under test is considered to be undamaged, with a guarantee rate of 1-α / 2; otherwise, the alternative hypothesis is accepted, that is, |Z|>Z 1-α / 2 When , it is considered that the test piece is damaged; finally, a parameter is determined based on the test of Z to count the amplitude of the exceedance, which is defined as AD; as shown in the following formula (7):

[0116]

[0117] In the formula, AD is the parameter, ω is the frequency, |Z(ω)| is the absolute value of the function of Z related to ω, Z(ω) is greater than Z 1-α / 2 Part, Z 1-α / 2 Represents the standard quantile of 1-α / 2.

[0118] Based on the first aspect, step S3 specifically includes:

[0119] Multiple groups of vibration tests are performed on the buckling restrained support 4 with the same damage degree to obtain the corresponding AD value, and the corresponding mean and standard deviation are calculated. At the same time, the D value of the corresponding damage stage needs to be calculated together, and the D value and the AD value are linearly fitted to establish a fitting equation to obtain the relationship between the D value and the AD value.

[0120] Preferably, 20 groups of vibration tests are performed on the buckling restraint support 4 with the same degree of damage to obtain the corresponding AD value. Specifically, "the same degree of damage" means that the buckling restraint support 4 has the same damage state or damage level. Repeat the vibration test 20 times on the buckling restraint support 4 with the same degree of damage. Obtain enough data samples to improve the reliability and accuracy of the experimental results. It means that the damage index (AD value) corresponding to each group of tests is calculated through vibration test analysis. After obtaining 20 groups of AD values, the mean and standard deviation of these AD values ​​need to be calculated. The mean is used to represent the average level of the AD value, and the standard deviation is used to represent the discreteness or variability of the AD value. These two statistics help to evaluate the stability and reliability of the AD value, as well as to identify possible outliers or errors. "Linear fitting" is a mathematical method used to describe the linear relationship between two variables. Here, it is used to describe the relationship between the D value and the AD value. Through linear fitting, a fitting equation (such as y=mx+b) can be established, where y represents the AD value, x represents the D value, and m and b are the coefficients of the fitting equation. This fitting equation can be used to predict the AD value of the buckling restrained brace 4 under different damage degrees, or to infer the damage degree of the buckling restrained brace 4 based on the AD value. Finally, through the linear fitting equation, we can obtain the quantitative relationship between the D value and the AD value. This relationship is helpful to quickly evaluate the damage degree of the buckling restrained brace 4 by measuring the AD value in practical applications.

[0121] Please refer to Figure 5 The present invention also provides a method for detecting the subsequent service life of a post-seismic buckling restraint support 4, the system comprising:

[0122] Acquisition module 6: Acquisition of vibration signals corresponding to different D values ​​of the buckling restraint support 4;

[0123] Processing module 7: using the frequency response function difference method considering statistics to process the vibration signal to obtain the AD value under different damages;

[0124] Construction module 8: construct the relationship between D value and AD value;

[0125] Service life prediction module 9: According to the subsequent earthquake frequency in the area where the test piece is located and the reliability required by the test piece, the relationship between the D value and the subsequent service life is determined, and then the relationship between the AD value and the subsequent service life is determined based on the relationship between the D value and the AD value.

[0126] For the specific implementation of the system for detecting the subsequent service life of the post-seismic buckling restrained brace 4 , please refer to the specific implementation of the method for detecting the subsequent service life of the post-seismic buckling restrained brace 4 , which will not be described in detail here.

[0127] Please refer to Figure 6 , Figure 6 This is a schematic diagram of the structure of an electronic device of the present application, the electronic device comprising:

[0128] A memory 11, used for storing one or more programs;

[0129] Processor 10;

[0130] When one or more programs are executed by the processor 10 , the above method is implemented, such as implementing all or part of the steps of the above method. The processor 10 communicates with the memory 11 through the communication interface 12 .

[0131] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which implements the above method when executed by the processor 10, such as implementing all or part of the steps of the above method.

[0132] It will be apparent to those skilled in the art that the present application is not limited to the details of the exemplary embodiments described above, and that the present application can be implemented in other specific forms without departing from the spirit or essential features of the present application. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the present application is defined by the appended claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims be included in the present application. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A method for detecting the subsequent service life of a post-seismic buckling restrained brace, characterized in that: The following steps are involved: S1: Obtain vibration signals corresponding to different D values ​​of buckling restraint support; S2: The frequency response function difference method considering statistics is used to process the vibration signal to obtain the AD value under different damages; S3: construct the relationship between D value and AD value; S4: According to the subsequent earthquake frequency in the area where the test piece is located and the reliability required by the test piece, the relationship between the D value and the subsequent service life is determined, and then the relationship between the AD value and the subsequent service life is determined based on the relationship between the D value and the AD value.

2. A method for detecting the subsequent service life of a post-seismic buckling restrained brace according to claim 1, characterized in that: Obtaining the vibration signals corresponding to different D values ​​of the buckling restraint support specifically includes: The Miner linear damage theory criterion is used to calculate the D value of the buckling restrained support. Formula (1) is as follows: Where N i To maintain the number of loading cycles at the current stress level when the buckling restraint support fails, n i is the number of cycles applied at this stress level; A sensor required for vibration detection is arranged at the detection position of the buckling restraint support; Adjust the parameters of the signal receiving device; An excitation device is used to excite one end of the buckling restraint support, and a signal receiving device is used to record vibration signals of the excitation end and the response end.

3. A method for detecting the subsequent service life of a post-seismic buckling restrained brace according to claim 2, characterized in that: The specific steps of arranging the sensor required for vibration detection at the detection position of the buckling restraint support include: Two sensors required for vibration detection are set at the detection position of the buckling restraint support, and the positions are: in the long side direction of the buckling restraint support, they are set 50 mm away from the edge of the extended connecting section; in the short side direction, they are set in the middle position of the short side.

4. A method for detecting the subsequent service life of a post-seismic buckling restrained brace according to claim 2, characterized in that: The specific steps of adjusting the parameters of the signal receiving device include: The sampling frequency is 2000 Hz; the duration is 0.5 s; the sampling amplitude is determined by the magnitude of the excitation and the distance between the two sensors.

5. A method for detecting the subsequent service life of a post-seismic buckling restrained brace according to claim 2, characterized in that: The frequency response function difference method considering statistics is used to process the vibration signal to obtain the AD value under different damages, including: S2-1: Obtaining the response of environmental noise through sensors and signal receiving devices; S2-2: Obtain vibration signals of the excitation end and the response end of the undamaged specimen, and perform noise reduction processing on the vibration signals of the excitation end and the response end according to the response of the environmental noise; S2-3: Using signal processing methods, filter and normalize the vibration signal after noise reduction to obtain its frequency response function, and use this data as a basis to identify the damage of the test piece; S2-4: performing steps S2-1 to S2-3 on the test piece to obtain a frequency response function; S2-5: Make a statistical judgment. If the frequency response function of the test piece is statistically the same as the frequency response function of the undamaged test piece, the test piece is considered to be an undamaged component; otherwise, the test piece is considered to be a damaged component, and the preset method is used to calculate the AD value.

6. A method for detecting the subsequent service life of a post-seismic buckling restrained brace according to claim 5, characterized in that: The AD value is calculated using the preset method including: Assume that the frequency response function conforms to the normal distribution, which satisfies the following formula (2): |H(jω)|~N(μ(|H(jω)|),σ 2 (ω)) (2) Where μ(H(jω)) is the mean value of the frequency response function amplitude, σ 2 (ω) is the amplitude variance of the frequency response function corresponding to a certain frequency, H(jω) is the frequency response function, N(μ,σ 2 ) indicates that the function conforms to the normal distribution, with mean μ and variance σ 2 ; When there is a difference between the frequency response functions of the test piece and the undamaged test piece, it is considered that the test piece is damaged; since both conform to the normal distribution, the difference between the two also conforms to the normal distribution, as shown in the following equations (3) to (5): δ|H(jω)|~N(μ(δ|H(jω)|),δσ 2 (oh)) (3) δ|H(jω)|=||H0(jω)|-|H u (jω)|| (4) Where δ|H(jω)| is the difference in the amplitude of the frequency response function, N(μ(δ|H(jω)|),δσ 2 (ω)) indicates that the function conforms to the normal distribution, with a mean of μ(δ|H(jω)|) and a variance of δσ 2 (ω), μ(δ|H(jω)|) is the mean value of the amplitude difference of the frequency response function, δσ 2 (ω) is the variance of the frequency response function amplitude difference, |H0(jω)| is the frequency response function amplitude of the undamaged component, |H u (jω)| is the amplitude of the frequency response function of the component to be tested, σ0 2 (ω) is the frequency response function variance of the undamaged component, σ u 2 (ω) is the frequency response function variance of the component to be tested; The data is normalized to obtain the parameter Z, as shown in formula (6): Where Z is the standard quantile, which is used to evaluate the distance from the sample point to the overall mean, ω is the frequency, δ|H(jω)| is the difference in the amplitude of the frequency response function, and δσ 2 (ω) is the variance of the frequency response function amplitude difference, N(0,1) means that the function conforms to the normal distribution, its mean is 0, and its variance is 1; if Z remains within the confidence interval, that is, |Z|≤Z 1-α / 2 When , the null hypothesis is accepted, and the sample under test is considered to be undamaged, with a guarantee rate of 1-α / 2; otherwise, the alternative hypothesis is accepted, that is, |Z|>Z 1-α / 2 When , it is considered that the test piece is damaged; finally, a parameter is determined based on the test of Z to count the amplitude of the exceedance, which is defined as AD; as shown in the following formula (7): In the formula, AD is the parameter, ω is the frequency, |Z(ω)| is the absolute value of the function of Z related to ω, Z(ω) is greater than Z 1-α / 2 Part, Z 1-α / 2 Represents the standard quantile of 1-α / 2.

7. A method for detecting the subsequent service life of a post-seismic buckling restrained brace according to claim 1, characterized in that: Step S3 specifically includes: Multiple groups of vibration tests are performed on the buckling restrained braces with the same damage degree to obtain the corresponding AD values, and the corresponding mean and standard deviation are calculated. At the same time, the D value of the corresponding damage stage needs to be calculated together, and the D value and the AD value are linearly fitted to establish a fitting equation to obtain the relationship between the D value and the AD value.

8. A system for detecting the subsequent service life of a post-seismic buckling restrained brace, characterized in that: include: Acquisition module: Acquisition of vibration signals corresponding to different D values ​​of buckling restraint support; Processing module: The frequency response function difference method considering statistics is used to process the vibration signal to obtain the AD value under different damages; Building module: building the relationship between D value and AD value; Service life prediction module: According to the subsequent earthquake frequency in the area where the test piece is located and the reliability required by the test piece, the relationship between the D value and the subsequent service life is determined, and then the relationship between the AD value and the subsequent service life is determined based on the relationship between the D value and the AD value.

9. An electronic device, characterized in that: include: A memory for storing one or more programs; processor; When the one or more programs are executed by the processor, the method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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