Method, medium and equipment for detecting shock actuation irregularity of high-speed railway bridge

Abstract

The invention relates to the technical field of rail bridge engineering, in particular to a high-speed railway bridge seismic actuation irregularity detection method, medium and equipment, and the method comprises the steps: obtaining seismic oscillation parameters of a to-be-detected object; and inputting the seismic oscillation parameters of the to-be-measured object into the seismic actuation irregularity prediction model, and outputting the seismic actuation irregularity to obtain the seismic-induced orbit movement irregularity of the to-be-measured object. The shock actuation irregularity of the high-speed railway bridge can be obtained in a short time without relying on a large number of experiments; the seismic-induced orbit dynamic irregularity under the corresponding pulse seismic oscillation can be obtained only by obtaining the seismic oscillation parameters, the basic natural vibration frequency ratio and dynamic irregularity mapping function and the seismic-induced dynamic irregularity amplitude function under the pulse seismic oscillation, so that a large amount of finite element calculation time is saved; and the method has important reference value for damage detection of a track-bridge system and guidance of post-earthquake driving.

Description

Technical Field

[0001] This invention relates to the field of railway bridge engineering technology, and in particular to a method, medium and equipment for detecting vibration-induced irregularities in high-speed railway bridges. Background Technology

[0002] High-speed railway bridges are prone to vibration damage, which can cause changes in track geometry. Vibration-induced track deformation directly affects the operational stability and speed of high-speed trains; therefore, research on vibration-induced track deformation is of great significance. However, no research has yet been conducted on vibration-induced dynamic irregularities in high-speed railway bridges.

[0003] Furthermore, current methods primarily rely on nonlinear finite element time history analysis to obtain seismic-induced irregularities. While this approach offers high accuracy, it suffers from complex modeling, high computational costs, and lengthy processing times, hindering sensitivity studies under large-scale parametric conditions and rapid post-earthquake assessments. Moreover, previous studies have not considered the impact of stiffness degradation in the track-bridge system on seismic-induced irregularities.

[0004] Furthermore, existing numerical simulation software is not beginner-friendly. The programming languages ​​and complex material properties require significant learning time, and extracting useful information from the calculations to obtain seismically induced track deformation also takes considerable time. In daily operations, after inputting relevant data, the output data needs to be statistically analyzed and categorized one by one, making large-scale analysis impossible and hindering timely optimization for actual engineering projects.

[0005] Therefore, it is necessary to provide a new method, medium, and equipment for detecting vibration-induced irregularities in high-speed railway bridges to solve the above-mentioned technical problems. Summary of the Invention

[0006] The main objective of this invention is to provide a method, medium, and equipment for detecting vibration-induced irregularities in high-speed railway bridges, aiming to solve the problems of existing methods not considering the impact of stiffness degradation of the track-bridge system on vibration-induced irregularities and having low efficiency.

[0007] To achieve the above objectives, this invention proposes a method for detecting vibration-induced irregularities in high-speed railway bridges, comprising 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 irregularity data is constructed using a sinusoidal function-like model. 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 basic natural frequency ratio is obtained by solving the mapping function of the current input seismic motion parameters and seismic actuation irregularities. Substituting the basic natural frequency ratio into the mapping function of the vibration-induced irregularity yields the vibration-induced irregularity prediction model.

[0008] Alternatively, 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 of these are parameters to be fitted.

[0009] Optionally, 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 We use a guarantee rate based on a 95% probability.

[0010] Optionally, 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.

[0011] Optionally, the fundamental natural frequency ratio is obtained by solving the mapping function of 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 irregularity is calculated based on the ground motion parameters, and a second expression for the amplitude of seismic-induced irregularity is obtained based on the adjustment coefficient. The ratio of the basic natural frequencies is obtained by solving the first and second expressions for the amplitude of the vibration-induced irregularity.

[0012] Optionally, the ground motion parameters include pulse amplitude, pulse period, and number of pulses; 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 obtained based on the adjustment coefficient, specifically including: The relationship between pulse amplitude and seismic irregularity amplitude was obtained by using a formula fitting method based on seismic motion parameters. 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. d 1 and the adjustment coefficient of the number of pulses on the amplitude of vibration-induced irregularity d 2; Combining the relationship between pulse amplitude and vibration-induced irregularity amplitude, and adjustment coefficients d 1 and adjustment coefficient d 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.

[0013] Optionally, the adjustment coefficients obtained from the fitting d 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 d 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.

[0014] In addition, the present invention also provides a readable storage medium storing computer program instructions thereon, which, when executed by a processor, implement the vibration-induced irregularity detection method for high-speed railway bridges as described above.

[0015] The present invention also provides 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 high-speed railway bridge vibration-induced irregularity detection method as described above.

[0016] The effect of applying the solution of this invention is: This invention utilizes numerical analysis methods based on physical laws to construct a prediction model for seismic-induced dynamic irregularities. This model can quickly obtain seismic-induced dynamic irregularities of high-speed railway bridges without relying on extensive experiments. The technical solution of this invention obtains the seismic-induced track dynamic irregularities under pulsed seismic motion simply by acquiring ground motion parameters and combining the mapping function between the ratio of the basic natural frequencies of the track-bridge system before and after seismic damage and the dynamic irregularity, along with the amplitude function of seismic-induced dynamic irregularities under pulsed earthquakes. This saves a significant amount of finite element calculation time and provides important reference value for damage detection of track-bridge systems and guiding post-earthquake train operation. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.

[0018] Figure 1 Schematic diagram of track irregularity curves induced by different ground motions; Figure 2(a) shows the ratio of the basic natural frequency to the parameters to be fitted. A schematic diagram of the fitting relationship; Figure 2(b) shows the ratio of the basic natural frequency to the parameters to be fitted. A schematic diagram of the fitting relationship; Figure 2(c) shows the ratio of the basic natural frequency to the parameters to be fitted. A schematic diagram of the fitting relationship; Figure 2(d) shows the ratio of the basic natural frequency to the parameters to be fitted. A schematic diagram of the fitting relationship; Figure 3(a) is a schematic diagram of the ground motion information of the RSN1486 ground motion; Figure 3(b) is a schematic diagram of the ground motion information of the RSN1528 ground motion; Figure 4(a) is a schematic diagram comparing the predicted and actual values ​​of the RSN1486 ground motion. Figure 4(b) is a schematic diagram comparing the predicted and actual values ​​of the RSN1528 ground motion.

[0019] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0021] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present invention are only used to explain the relative positional relationship and movement of each component in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indication will also change accordingly.

[0022] Furthermore, in this invention, descriptions involving "first," "second," etc., are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0023] In this invention, unless otherwise explicitly specified and limited, the terms "connection," "fixed," etc., should be interpreted broadly. For example, "fixed" can mean a fixed connection, a detachable connection, or an integral part; it can mean a mechanical connection or an electrical connection; it can mean a direct connection or an indirect connection through an intermediate medium; it can mean the internal communication of two components or the interaction between two components, unless otherwise explicitly limited. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0024] Furthermore, the technical solutions of the various embodiments of the present invention can be combined with each other, but only if they are feasible for those skilled in the art. If the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such combination of technical solutions does not exist and is not within the scope of protection claimed by the present invention.

[0025] This invention proposes a method, medium, and equipment for detecting vibration-induced irregularities in high-speed railway bridges, aiming to solve the problems of existing methods not considering the impact of stiffness degradation of the track-bridge system on vibration-induced irregularities and having low efficiency.

[0026] like Figure 1 As shown, the seismic-induced track irregularities under different ground motions all exhibit obvious sinusoidal waveform characteristics. Based on this pattern, a sinusoidal model can be used to parametrically fit the irregularity data.

[0027] This embodiment provides a method for detecting vibration-induced irregularities in high-speed railway bridges, including 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 irregularity data is constructed using a sinusoidal function-like model. The specific formula for parametric fitting 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 of these are parameters to be fitted.

[0028] In this embodiment, 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 We use a guarantee rate based on a 95% probability.

[0029] Define the ratio of the fundamental natural frequencies of the object under test before and after vibration-induced damage; 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.

[0030] 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 (see Figures 2(a), 2(b), 2(c), and 2(d)). The solution formulas for each fitting coefficient with respect to the basic natural frequency ratio were obtained. In this embodiment, M=113. and We take a guarantee rate based on a 95% probability, that is... ; coefficients to be fitted and The specific formula for solving this problem is as follows: ; To ensure that the vibration-induced irregularity is non-negative, an adjustment coefficient is added to the mapping function. ,Right now: ; in: The mapping function before fitting; The mapping function for seismic-induced irregularities; Based on M near-fault pulse ground motion data and The fitting yields: ; Substituting the formulas for solving each fitting coefficient into the parameterized fitting formula yields the mapping function for vibration-induced irregularities; in this embodiment, the mapping function for vibration-induced irregularities... The specific expression is as follows: ; 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 vibration-induced irregularity is obtained based on the mapping function of the vibration-induced irregularity. The specific expression shows that in The location represents the amplitude of the vibration-induced irregularities, as detailed below: ; This can be further simplified to obtain the first expression: ; in: The amplitude of the seismic-induced irregularity is obtained from the mapping function of the seismic-induced irregularity; The adjustment coefficient for the amplitude of seismic-induced irregularity is calculated based on the ground motion parameters, and a second expression for the amplitude of seismic-induced irregularity is obtained based on the adjustment coefficient. In this embodiment, the ground motion parameters include pulse amplitude. F Pulse period T and number of pulses N As shown in Table 1.

[0031] Table 1 Seismic ground motion parameters

[0032] 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 obtained based on the adjustment coefficient, specifically including: The relationship between pulse amplitude and seismic-induced irregularity amplitude is obtained by fitting formulas based on seismic motion parameters; the specific expression 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.

[0033] 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. d 2; Combining the relationship between pulse amplitude and vibration-induced irregularity amplitude, and adjustment coefficients d 1 and adjustment coefficient d 2. Obtain the amplitude of the seismic-induced irregularity. The second expression, specifically the formula, is as follows: .

[0034] In this embodiment, the adjustment coefficient obtained by fitting d 1. It has a linear relationship with the pulse period; the specific expression obtained by fitting in this embodiment is as follows: ; 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 d 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... d The relationship between 2 and the number of pulses is shown in Table 2. Table 2 Adjustment coefficients d 2. Relationship between the number of pulses

[0035] Solving for the first and second expressions of the amplitude of the vibration-induced irregularity yields the ratio of the fundamental natural frequencies, specifically: .

[0036] In this embodiment, a particular solution is obtained. : ; 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: .

[0037] 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.

[0038] 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.

[0039] 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.

[0040] 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.

[0041] For example, the computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to complete the present invention. The one or more modules / units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program in the electronic device.

[0042] The electronic device can be a mobile phone, desktop computer, laptop, handheld computer, cloud server, or other computing device. The electronic device may include, but is not limited to, processors and memory. For example, the electronic device may also include input / output devices, network access devices, buses, etc.

[0043] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the electronic device, connecting all parts of the electronic device via various interfaces and lines.

[0044] The memory can be used to store the computer program and / or modules. The processor implements the computer program by running or executing the computer program and / or modules stored in the memory, and by calling data stored in the memory. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created according to the use of the mobile phone (such as audio data, phonebook, etc.). In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital card (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0045] If the modules / units integrated in the electronic device are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium can be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electrical carrier signals and telecommunication signals.

[0046] The above description is merely a preferred embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural transformations made using the contents of the present invention's specification and drawings under the inventive concept of the present invention, or direct / indirect applications in other related technical fields, are included within the patent protection scope of the present invention.

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 irregularity data is constructed using a sinusoidal function-like model. 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 basic natural frequency ratio is obtained by solving the mapping function of the current input seismic motion parameters and seismic actuation irregularities. 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 formula for parametric fitting 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 of these are parameters to be fitted.

3. The method for detecting vibration-induced irregularities in high-speed railway bridges according to claim 2, characterized in that, 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 We use a guarantee rate based on a 95% probability.

4. The method for detecting vibration-induced irregularities in high-speed railway bridges according to claim 3, 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.

5. The method for detecting vibration-induced irregularities in high-speed railway bridges according to claim 4, characterized in that, 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 irregularity is calculated based on the ground motion parameters, and a second expression for the amplitude of seismic-induced irregularity is obtained based on the adjustment coefficient. The ratio of the basic natural frequencies is obtained by solving the first and second expressions for the amplitude of the vibration-induced irregularity.

6. The method for detecting vibration-induced irregularities in high-speed railway bridges according to claim 5, characterized in that, Seismic motion parameters include pulse amplitude, pulse period, and number of pulses; 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 obtained based on the adjustment coefficient, specifically including: The relationship between pulse amplitude and seismic irregularity amplitude was obtained by using a formula fitting method based on seismic motion parameters. 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.

7. The method for detecting vibration-induced irregularities in high-speed railway bridges according to claim 6, 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.

8. 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 7.

9. 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 7 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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