Method for detecting seismic-induced irregularities of high-speed railway bridges, medium and equipment

Abstract

The present application relates to the technical field of track bridge engineering, and particularly relates to a high-speed railway bridge seismic-induced irregularity detection method, medium and equipment, the high-speed railway bridge seismic-induced irregularity detection method, comprising: obtaining seismic ground motion parameters of a to-be-detected object; inputting the seismic ground motion parameters of the to-be-detected object into a seismic-induced irregularity prediction model to output seismic track irregularity of the to-be-detected object. The present application constructs a seismic-induced irregularity prediction model in combination with a numerical analysis method of physical laws, and can obtain the seismic-induced irregularity of the high-speed railway bridge in a short time without relying on a large number of experiments; and only by obtaining the seismic ground motion parameters, the fundamental natural frequency ratio, the dynamic irregularity mapping function and the seismic-induced irregularity amplitude function under the pulse earthquake, the seismic track irregularity under the corresponding pulse seismic ground motion can be obtained, which saves a large amount of finite element calculation time, and has important reference value for damage detection of the track-bridge system and guidance of post-earthquake driving.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of track bridge engineering, and particularly relates to a high-speed railway bridge seismic-induced irregularity detection method, medium and equipment. BACKGROUND

[0002] High-speed railway bridge structure is prone to seismic damage and causes track geometry changes, and seismic-induced track deformation directly affects the running stability and speed of high-speed rail, so it is of great significance to study seismic-induced track deformation. However, there is currently no research on seismic-induced irregularity of high-speed railway bridge.

[0003] In addition, the seismic-induced irregularity is currently mainly obtained through nonlinear finite element time-history analysis, which has high accuracy but complex modeling, high calculation cost and long time consumption, and is not conducive to sensitivity research under large-scale parameter conditions and rapid evaluation after the earthquake. Moreover, the previous research did not consider the influence of stiffness degradation of the track-bridge system on the seismic-induced irregularity.

[0004] In addition, the existing numerical simulation software is not friendly to beginners, and a lot of time is needed to learn programming languages and complex material properties, and it also takes a certain amount of time to extract useful information from the calculation results and obtain seismic track deformation. After inputting the relevant data in the daily operation, the output data needs to be counted and classified one by one, and it is impossible to analyze on a large scale, and it is also impossible to optimize the actual project in a timely manner.

[0005] Therefore, it is necessary to provide a new high-speed railway bridge seismic-induced irregularity detection method, medium and equipment to solve the above technical problems. SUMMARY

[0006] The main purpose of the present application is to provide a high-speed railway bridge seismic-induced irregularity detection method, medium and equipment, which aims to solve the problem that the existing method does not consider the influence of stiffness degradation of the track-bridge system on the seismic-induced irregularity and has low efficiency.

[0007] To achieve the above purpose, the present application provides a high-speed railway bridge seismic-induced irregularity detection method, which comprises the following steps:

[0008] S1: obtaining the seismic motion parameters of the object to be measured;

[0009] S2: inputting the seismic motion parameters of the object to be measured into a seismic-induced irregularity prediction model to output the seismic track irregularity of the object to be measured;

[0010] The construction process of the seismic-induced irregularity prediction model is specifically:

[0011] A sinusoidal function model is used to construct a parameterized fitting formula of seismic-induced irregularity data;

[0012] define the fundamental natural frequency ratio of the object to be tested before and after the earthquake damage;

[0013] Select M near-fault pulse ground motion data from the PEER database, and use the M near-fault pulse ground motion data to fit the relationship between the fundamental natural frequency ratio and the fitting coefficients in the parameterized fitting formula, to obtain the solution formula of each fitting coefficient with respect to the fundamental natural frequency ratio;

[0014] Substitute the solution formula of each fitting coefficient into the parameterized fitting formula to obtain the mapping function of the seismic-induced irregularity;

[0015] Based on the current input ground motion parameters and the mapping function of the seismic-induced irregularity, the fundamental natural frequency ratio is solved;

[0016] Substitute the fundamental natural frequency ratio into the mapping function of the seismic-induced irregularity to obtain the seismic-induced irregularity prediction model.

[0017] Optionally, the specific expression formula of the parameterized fitting formula is as follows:

[0018] ;

[0019] Wherein: represents the seismic-induced irregularity, ; represents the position of the track, , represents the length of the track; , , and are fitting parameters.

[0020] Optionally, in the fitting parameters, is linearly related to the fundamental natural frequency ratio, is a quadratic function of the fundamental natural frequency ratio, and take the guarantee rate based on 95% probability.

[0021] Optionally, the specific expression of the fundamental natural frequency ratio is as follows:

[0022] ;

[0023] Wherein: is the fundamental natural frequency ratio, is the fundamental natural frequency of the object to be tested before the earthquake damage, is the fundamental natural frequency of the object to be tested after the earthquake damage.

[0024] Optionally, the fundamental natural frequency ratio is solved based on the current input ground motion parameters and the mapping function of the seismic excitation irregularity, and specifically includes:

[0025] The first expression of the seismic excitation irregularity amplitude is obtained based on the mapping function of the seismic excitation irregularity;

[0026] The adjustment coefficient of the seismic excitation irregularity amplitude is calculated based on the ground motion parameters, and the second expression of the seismic excitation irregularity amplitude is obtained according to the adjustment coefficient;

[0027] The fundamental natural frequency ratio is solved by simultaneously solving the first expression and the second expression of the seismic excitation irregularity amplitude.

[0028] Optionally, the ground motion parameters include pulse amplitude, pulse period and pulse number;

[0029] The adjustment coefficient of the seismic excitation irregularity amplitude is calculated based on the ground motion parameters, and the second expression of the seismic excitation irregularity amplitude is obtained according to the adjustment coefficient, and specifically includes:

[0030] The relationship between the pulse amplitude and the seismic excitation irregularity amplitude is obtained based on the ground motion parameters by using the formula fitting method;

[0031] The adjustment coefficient of the pulse period on the seismic excitation irregularity amplitude is obtained based on the ground motion parameters by using the formula fitting method δ 1 and the pulse number on the seismic excitation irregularity amplitude δ 2;

[0032] The second expression of the seismic excitation irregularity amplitude is obtained by combining the relationship between the pulse amplitude and the seismic excitation irregularity amplitude, the adjustment coefficient δ 1 and the adjustment coefficient δ 2, and the specific formula is as follows:

[0033] ;

[0034] Wherein: is the seismic excitation irregularity amplitude obtained based on the fitted relationship between the pulse amplitude and the seismic excitation irregularity amplitude.

[0035] Optionally, the fitted adjustment coefficient δ 1 and the pulse period are in a linear relationship; if the pulse number in the ground motion parameters is N, then the seismic excitation irregularity amplitudes corresponding to different pulses are X1, X2, X3,..., X N , then the adjustment coefficients δ 2 corresponding to different pulse numbers are X1 / X n , X2 / X n , X3 / X n ,..., X​N X n X n X1 to X N .

[0036] In addition, the application further provides a readable storage medium, which stores computer program instructions, and the computer program instructions realize the high-speed railway bridge seismic-induced irregularity detection method when executed by a processor.

[0037] The application further provides an electronic device, which comprises at least one processor, at least one memory and computer program instructions stored in the memory, and the computer program instructions realize the high-speed railway bridge seismic-induced irregularity detection method when executed by the processor.

[0038] The application has the following effects:

[0039] The application combines the numerical analysis method of physical laws to construct a seismic-induced irregularity prediction model, and can obtain the seismic-induced irregularity of the high-speed railway bridge in a short time without relying on a large number of experiments. The technical scheme of the application can obtain the seismic-induced track irregularity under the corresponding pulse seismic motion only by obtaining the seismic motion parameters, combining the basic natural frequency ratio before and after the seismic damage of the track-bridge system with the dynamic irregularity mapping function and the seismic-induced dynamic irregularity amplitude function under the pulse seismic motion, which saves a large amount of finite element calculation time and has important reference value for damage detection of the track-bridge system and guidance of post-earthquake driving. BRIEF DESCRIPTION OF DRAWINGS

[0040] In order to more clearly illustrate the technical scheme in the embodiments of the application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description only show some embodiments of the application, and for those skilled in the art, other drawings can also be obtained according to the structures shown in the drawings without creative labor.

[0041] Figure 1 is a schematic diagram of the seismic-induced track irregularity curve under different seismic motions;

[0042] Fig. 2 (a) is a fitting relationship diagram of the basic natural frequency ratio and the to-be-fitted parameter ;

[0043] Fig. 2 (b) is a fitting relationship diagram of the basic natural frequency ratio and the to-be-fitted parameter ;

[0044] Fig. 2 (c) is a fitting relationship diagram of the basic natural frequency ratio and the to-be-fitted parameter ;

[0045] Figure 2 (d) is a schematic diagram of the fitting relationship between the fundamental natural frequency ratio and the parameters to be fitted;

[0046] Figure 3 (a) is a schematic diagram of the seismic information of the RSN1486 seismic motion;

[0047] Figure 3 (b) is a schematic diagram of the seismic information of the RSN1528 seismic motion;

[0048] Figure 4 (a) is a schematic diagram of the comparison between the predicted value and the true value of the RSN1486 seismic motion;

[0049] Figure 4 (b) is a schematic diagram of the comparison between the predicted value and the true value of the RSN1528 seismic motion.

[0050] The implementation, functional features and advantages of the present application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0051] The technical solutions in the embodiments of the present application will be clearly and completely described with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of the present application.

[0052] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present application are only used to explain the relative positional relationship, movement condition, etc. between components in a certain posture (as shown in the drawings), and if the certain posture changes, the directional indications will also change accordingly.

[0053] In addition, the description of "first", "second" and the like in the present application is only for the purpose of description, and cannot be understood as indicating or implying the relative importance of the indicated technical features or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first", "second" can explicitly or implicitly include at least one of the features. In the description of the present application, the meaning of "multiple" is at least two, such as two, three, etc., unless otherwise specifically limited.

[0054] ​In the present application, unless otherwise explicitly specified and limited, the terms "connection", "fixing", and the like should be understood broadly, for example, "fixing" can be fixed connection, or detachable connection, or integral; can be mechanical connection, or electrical connection; can be direct connection, or indirect connection through an intermediate medium, can be internal communication of two elements or interaction relationship between two elements, unless otherwise explicitly limited. For those of ordinary skill in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0055] In addition, the technical solutions among various embodiments of the present application can be combined with each other, but it must be based on the fact that a person of ordinary skill in the art can realize it, when the combination of technical solutions appears contradictory or unachievable, it should be considered that the combination of technical solutions does not exist, nor is it within the protection scope required by the present application.

[0056] The present application provides a high-speed railway bridge seismic-induced irregularity detection method, medium and equipment, aiming at solving the problem that the existing method does not consider the influence of stiffness degradation of track-bridge system on seismic-induced irregularity and is low in efficiency.

[0057] As shown in Figure 1 The seismic track irregularity curve under different ground motions all shows obvious sinusoidal function waveform characteristics. Based on this law, a sinusoidal function model can be used to parameterize and fit the dynamic irregularity data.

[0058] The present embodiment provides a high-speed railway bridge seismic-induced dynamic irregularity detection method, comprising the following steps:

[0059] S1: acquiring the ground motion parameters of the object to be measured;

[0060] S2: inputting the ground motion parameters of the object to be measured into a seismic-induced dynamic irregularity prediction model to output the seismic track dynamic irregularity of the object to be measured;

[0061] The construction process of the seismic-induced dynamic irregularity prediction model is specifically:

[0062] A sinusoidal function model is used to construct a parameterization fitting formula of seismic-induced dynamic irregularity data;

[0063] The specific expression formula of the parameterization fitting formula is as follows:

[0064] ;

[0065] Among them: represents the seismic-induced dynamic irregularity, ; represents the position of the track, , represents the length of the track; , , and are to-be-fitted parameters.

[0066] In this embodiment, among the to-be-fitted parameters, is in linear relationship with the fundamental natural frequency ratio, is in quadratic function relationship with the fundamental natural frequency ratio, and take the guarantee rate based on 95% probability.

[0067] The fundamental natural frequency ratio of the to-be-tested object before and after seismic damage is defined; the specific expression of the fundamental natural frequency ratio is as follows:

[0068] ;

[0069] Among them: is the fundamental natural frequency ratio, is the fundamental natural frequency of the to-be-tested object before seismic damage, is the fundamental natural frequency of the to-be-tested object after seismic damage.

[0070] M near-fault pulse seismic data are selected from the PEER database, and the relationship between the fundamental natural frequency ratio and the to-be-fitted coefficients in the parameterized fitting formula is fitted using the M near-fault pulse seismic data (see FIG. 2(a), FIG. 2(b), FIG. 2(c) and FIG. 2(d)), to obtain the solving formula of each fitting coefficient about the fundamental natural frequency ratio; in this embodiment, M = 113; and take the guarantee rate based on 95% probability, that is ;

[0071] The solving formula of the to-be-fitted coefficients and is as follows:

[0072] ;

[0073] In order to ensure that the seismic-induced irregularity is a non-negative number, an adjustment coefficient is added to the mapping function, that is:

[0074] ;

[0075] Among them: is the mapping function before fitting; is the mapping function of the seismic-induced irregularity; Based on the M near-fault pulse seismic data and fitting can obtain:

[0076] ;

[0077] Substitute the solution formula of each fitting coefficient into the parameterized fitting formula to obtain the mapping function of the seismic-induced irregularity; in the embodiment, the mapping function of the seismic-induced irregularity is The specific expression is as follows:

[0078] ;

[0079] Based on the current input ground motion parameter and the mapping function of the seismic-induced irregularity, the basic natural frequency ratio is solved and obtained; specifically, the basic natural frequency ratio is solved and obtained by the following steps:

[0080] Based on the mapping function of the seismic-induced irregularity, the first expression of the amplitude of the seismic-induced irregularity is obtained, and the mapping function of the seismic-induced irregularity is The specific expression of the mapping function of the seismic-induced irregularity is that the amplitude of the seismic-induced irregularity is at the position of , and the specific expression is as follows:

[0081] ;

[0082] The first expression can be further simplified as follows:

[0083] ;

[0084] Wherein: is the amplitude of the seismic-induced irregularity obtained by the mapping function of the seismic-induced irregularity;

[0085] The adjustment coefficient of the amplitude of the seismic-induced irregularity is calculated based on the ground motion parameter, and the second expression of the amplitude of the seismic-induced irregularity is obtained according to the adjustment coefficient;

[0086] In the embodiment, the ground motion parameters include the pulse amplitude F , the pulse period T and the pulse number N ; as shown in Table 1.

[0087] Table 1 Ground motion parameters

[0088]

[0089] The adjustment coefficient of the amplitude of the seismic-induced irregularity is calculated based on the ground motion parameter, and the second expression of the amplitude of the seismic-induced irregularity is obtained according to the adjustment coefficient, specifically including:

[0090] The relationship between the pulse amplitude and the amplitude of the seismic-induced irregularity is obtained by using the formula fitting method based on the ground motion parameter; the specific expression is as follows:

[0091] ;

[0092] Wherein: The vibration-induced irregularity amplitude is obtained based on the fitted relationship between the pulse amplitude and the vibration-induced irregularity amplitude.

[0093] Based on ground motion parameters, the adjustment coefficients δ1 for the pulse period and the number of pulses on the amplitude of earthquake-induced irregularities were obtained using a formula fitting method. δ 2;

[0094] Combining the relationship between pulse amplitude and vibration-induced irregularity amplitude, and adjustment coefficients δ 1 and adjustment coefficient δ 2. Obtain the amplitude of the seismic-induced irregularity. The second expression, specifically the formula, is as follows:

[0095] .

[0096] In this embodiment, the adjustment coefficient obtained by fitting δ 1. It has a linear relationship with the pulse period; the specific expression obtained by fitting in this embodiment is as follows:

[0097] ;

[0098] Let N be the number of pulses in the seismic motion parameters. Then the amplitude values ​​of the seismic-induced irregularities corresponding to different pulses are X1, X2, X3, ..., X... N The adjustment coefficients corresponding to different pulse numbers δ 2 is X1 / X n X2 / X n X3 / X n ... X N / X n X n X1 to X N Any one of them. In this embodiment, the adjustment coefficient is... δ The relationship between 2 and the number of pulses is shown in Table 2.

[0099] Table 2 Adjustment coefficients δ 2. Relationship between the number of pulses

[0100]

[0101] Solving for the first and second expressions of the amplitude of the vibration-induced irregularity yields the ratio of the fundamental natural frequencies, specifically:

[0102] .

[0103] In this embodiment, a particular solution is obtained. :

[0104] ;

[0105] Substituting the basic natural frequency ratio into the mapping function of vibration-induced irregularities yields the vibration-induced irregularity prediction model, as shown in the following formula:

[0106] .

[0107] This embodiment selects two ground motions from the PEER database: RSN1486 and RSN1528, where the pulse amplitude of RSN1486 is... F =144cm / s, pulse period T =8.043s, number of pulses N=3; pulse amplitude of RSN1528 F =142.39cm / s, pulse period T =10.318s, pulse number N=3, the ground motion data of RSN1486 and RSN1528 are shown in Figure 3(a) and Figure 3(b), respectively. The comparison between the predicted and actual seismic-induced track irregularities is shown in Figure 4(a) and Figure 4(b), where: Figure 4(a) is a comparison of the predicted and actual seismic-induced track irregularities of RSN1486, and Figure 4(b) is a comparison of the predicted and actual seismic-induced track irregularities of RSN1528. It can be seen that the method of this embodiment has good prediction effect.

[0108] This embodiment also includes a readable storage medium storing computer program instructions, which, when executed by a processor, implement the high-speed railway bridge vibration-induced irregularity detection method as described above.

[0109] It should be noted that the device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Furthermore, in the accompanying drawings of the device embodiments provided by this invention, the connection relationships between modules indicate that they have communication connections, which can be specifically implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without any creative effort.

[0110] This embodiment also includes an electronic device, comprising: at least one processor, at least one memory, and computer program instructions stored in the memory, wherein the computer program instructions are executed by the processor to perform the mining slope stability analysis method as described above.

[0111] For example, the computer program can be divided into one or more modules / units, which are stored in the memory and executed by the processor to complete the present application. The one or more modules / units can be a series of computer program instruction segments capable of completing a specific function, which are used to describe the execution process of the computer program in the electronic device.

[0112] The electronic device can be a mobile phone, a desktop computer, a notebook computer, a palm computer, a cloud server, and the like. The electronic device can include, but is not limited to, a processor, a memory. For example, the electronic device can also include an input / output device, a network access device, a bus, and the like.

[0113] The processor can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor. The processor is the control center of the electronic device, which connects all parts of the electronic device through various interfaces and lines.

[0114] The memory can be used to store the computer program and / or modules, and the processor realizes the computer program by running or executing the computer program and / or modules stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required by a function (such as a sound playing function, an image playing function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, for example, a hard disk, a memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, at least one disk storage device, a flash memory device, or other volatile solid-state memory devices.

[0115] The modules / units integrated in the electronic device, if realized in the form of software function units and sold or used as independent products, can be stored in a computer readable storage medium. Based on such understanding, all or part of the processes in the above-mentioned embodiment methods can also be completed by a computer program instructing related hardware, and the computer program can be stored in a readable storage medium. When the computer program is executed by a processor, the steps of the above-mentioned various method embodiments can be realized. The computer program includes computer program code, which can be in the form of source code, object code, executable files or some intermediate forms, etc. The computer readable medium can include any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content included in the computer readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction, for example, in some jurisdictions, according to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.

[0116] The above only describes the preferred embodiments of the present application, and does not limit the patent scope of the present application. Any equivalent structural transformation made based on the inventive concept of the present application, or direct / indirect application in other related technical fields is included in the patent protection scope of the present application.

Claims

1. A method for detecting vibration-induced irregularities in high-speed railway bridges, characterized in that, Includes the following steps: S1: Obtain the seismic motion parameters of the object under test; S2: Input the seismic motion parameters of the object under test into the seismic-induced irregularity prediction model to obtain the seismic-induced track irregularity of the object under test; The specific process of constructing the earthquake-induced irregularity prediction model is as follows: A parametric fitting formula for vibration-induced irregularities is constructed using a sinusoidal function model; the specific expression of the parametric fitting formula is as follows: ； in: This indicates that the vibration caused by the earthquake was not smooth. ; Indicates the position of the track. , Indicates the length of the track; , , and All are parameters to be fitted; among the parameters to be fitted, It has a linear relationship with the ratio of the fundamental natural frequency. The ratio of the fundamental natural frequency has a quadratic-like functional relationship. and A guarantee rate based on a 95% probability is adopted; Define the ratio of the basic natural frequencies of the object under test before and after vibration-induced damage; M near-fault pulse ground motion data were selected from the PEER database. The relationship between the basic natural frequency ratio and the coefficients to be fitted in the parameterized fitting formula was fitted using the M near-fault pulse ground motion data. The solution formulas for each fitting coefficient with respect to the basic natural frequency ratio were obtained. Substituting the formulas for solving each fitting coefficient into the parameterized fitting formula yields the mapping function for vibration-induced irregularities. The fundamental natural frequency ratio is obtained by solving the mapping function based on the current input seismic motion parameters and seismic-induced irregularities; specifically including: The first expression for the amplitude of the seismic-induced irregularity is obtained based on the mapping function of the seismic-induced irregularity; The adjustment coefficient for the amplitude of seismic-induced irregularities is calculated based on the seismic motion parameters, and a second expression for the amplitude of seismic-induced irregularities is derived based on the adjustment coefficient; specifically including: The relationship between pulse amplitude and seismic-induced irregularity amplitude is obtained by formula fitting based on seismic motion parameters; the seismic motion parameters include pulse amplitude, pulse period, and number of pulses; Based on ground motion parameters, an adjustment coefficient for the pulse period on the amplitude of seismic-induced irregularities is obtained using a formula fitting method. δ 1 and the adjustment coefficient of the number of pulses on the amplitude of vibration-induced irregularity δ 2; Combining the relationship between pulse amplitude and vibration-induced irregularity amplitude, and adjustment coefficients δ 1 and adjustment coefficient δ 2. Obtain the amplitude of the seismic-induced irregularity. The second expression, specifically the formula, is as follows: ； in: The vibration-induced irregularity amplitude is obtained based on the fitted relationship between the pulse amplitude and the vibration-induced irregularity amplitude. The ratio of the basic natural frequencies is obtained by solving the first and second expressions of the combined seismic-induced irregularity amplitude. Substituting the basic natural frequency ratio into the mapping function of the vibration-induced irregularity yields the vibration-induced irregularity prediction model.

2. The method for detecting vibration-induced irregularities in high-speed railway bridges according to claim 1, characterized in that, The specific expression for the fundamental natural frequency ratio is as follows: ； in: The ratio of the fundamental natural frequencies. The fundamental natural frequency of the object under test before vibration-induced damage. The fundamental natural frequency of the object under test after it has been damaged by vibration.

3. The method for detecting vibration-induced irregularities in high-speed railway bridges according to claim 2, characterized in that, The adjustment coefficient obtained from the fitting δ 1. The relationship between the pulse period and the ground motion parameters is linear; assuming the number of pulses in the ground motion parameters is N, then the amplitude of the seismic-induced irregularities corresponding to different pulses are X1, X2, X3, ..., X... N The adjustment coefficients corresponding to different pulse numbers δ 2 is X1 / X n X2 / X n X3 / X n ... X N / X n X n X1 to X N Any one of them.

4. A readable storage medium, characterized in that, It stores computer program instructions, which, when executed by a processor, implement the high-speed railway bridge vibration-induced irregularity detection method as described in any one of claims 1 to 3.

5. An electronic device, characterized in that, include: The method for detecting vibration-induced irregularities in high-speed railway bridges as described in any one of claims 1 to 3 includes at least one processor, at least one memory, and computer program instructions stored in the memory, wherein the computer program instructions are executed by the processor.

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