Railway bridge damage identification method and device, electronic equipment and storage medium

Abstract

The invention provides a railway bridge damage identification method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining the bridge structure data of a to-be-detected railway bridge, constructing a coupling dynamic model, calculating the vibration response data of a bogie in a health state and different damage states through the coupling dynamic model, and obtaining the vibration response data of the bogie. The method is used for establishing a bogie response data sample set through a Monte Carlo sampling method, dividing the bogie response data sample set into bogie response data sample set data at different bridge span serial number positions according to bridge span serial numbers, and calculating a damage identification result through a damage index calculation formula and a Gaussian inverse cumulative distribution function. A set of method for rapidly and accurately detecting the damage condition of the railway bridge by using the bogie vibration response data calculated by the coupling dynamics model is formed, and the problem that an existing railway bridge damage identification method is difficult to accurately identify the damage of the whole bridge is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of railway bridge damage detection, and in particular to a railway bridge damage identification method, device, electronic equipment and storage medium. Background Art

[0002] Heavy-load railway freight is one of the important pillars of national economic and social development. As the key infrastructure of heavy-load railway freight lines, bridges have been subjected to repeated loading and unloading of vehicles and wind loads for a long time, causing structural fatigue. Coupled with the coupling of multiple factors such as complex natural environment and material performance degradation, various damages have occurred inside and on the surface of heavy-load railway bridge structures, affecting the normal use of the structure, causing the bridge's bearing capacity and service performance to decline, bringing huge hidden dangers to bridge operation safety, and then endangering driving safety. Therefore, regular health monitoring of bridges and early detection of bridge structural damage will help optimize bridge maintenance decisions and ensure the safety, applicability and durability of bridge structures.

[0003] The changes in the physical properties of the structure (such as mass, stiffness, damping, etc.) caused by bridge damage have a significant impact on the dynamic response of the vehicle-bridge coupling dynamics model. Therefore, the bridge health monitoring method based on vibration response is an effective way to realize the status assessment of railway bridges. It will not affect the normal operation of the bridge and can realize continuous monitoring. One of the key contents of bridge health monitoring is to identify bridge damage. Traditional bridge damage identification methods usually deploy a large number of sensors at different positions of the beams, piers and other structures of each span of the bridge to collect various vibration signals of the bridge itself, and then realize damage identification, location and quantification through signal processing algorithms. However, such methods usually bring a huge installation and maintenance workload, and the economic cost is too high. If only a limited number of typical positions are selected to deploy sensors, it will cause problems of missed detection and false detection, making it difficult to identify damage to the entire bridge.

[0004] Therefore, it is of great significance to study a railway bridge damage detection method based on bogie vibration response data, so as to quickly and accurately detect the damage condition of the railway bridge by using the bogie vibration response data calculated by the coupled dynamic model, in order to identify the damage distribution of the railway bridge, ensure that the heavy-loaded railway bridge is in a safe use state, and prevent safety accidents of the railway bridge. Summary of the invention

[0005] The present invention provides a railway bridge damage identification method, device, electronic equipment and storage medium, which are used to solve the problem that the existing railway bridge damage identification method is difficult to accurately identify damage to the entire bridge, and lay an important foundation for preventing safety accidents from occurring in railway bridges.

[0006] In a first aspect, the present invention provides a railway bridge damage identification method, comprising:

[0007] Obtaining bridge structure data of the railway bridge to be tested;

[0008] Based on the bridge structure data, a coupled dynamic model is constructed;

[0009] The coupled dynamics model is used to calculate the bogie vibration response data of the bridge to be tested in a healthy state and in different damage states, respectively, so as to establish a bogie response data sample set through a Monte Carlo sampling method;

[0010] According to the span number of the railway bridge to be tested, the filtered bogie response data sample set is divided into bogie response data sample set data at different span number positions;

[0011] The damage identification result of the railway bridge to be tested is calculated based on the preset damage index calculation formula and the preset Gaussian inverse cumulative distribution function and the bogie response data sample set data at the different bridge span number positions.

[0012] Optionally, based on the bridge structure data, a coupled dynamic model is constructed, including:

[0013] Obtaining heavy-duty truck structural data and railway track structural data;

[0014] A coupled dynamics model is constructed based on the bridge structure data, the heavy-load truck structure data and the railway track structure data.

[0015] Optionally, the coupled dynamics model is used to calculate the bogie vibration response data of the bridge to be tested in a healthy state and in different damage states, respectively, so as to establish a bogie response data sample set by using a Monte Carlo sampling method, including:

[0016] Utilizing the coupled dynamics model, calculating the bogie vibration response data of the bridge to be tested in a healthy state and in different damage states;

[0017] By using the Monte Carlo sampling method, based on the bogie vibration response data, a healthy sample set of the bridge to be tested in a healthy state and a damaged sample set in a damaged state are established;

[0018] The healthy sample set and the damaged sample set are combined to obtain the bogie response data sample set.

[0019] Optionally, according to the span number of the railway bridge to be tested, the filtered bogie response data sample set is divided into bogie response data sample set data at different span number positions, including:

[0020] Using a time domain subtraction method, eliminating the influence of track irregularities on the bogie response data sample set, and obtaining a filtered bogie response data sample set;

[0021] According to the span number of the railway bridge to be tested, the filtered bogie response data sample set is divided into bogie response data sample set data at different span number positions.

[0022] Optionally, the damage identification result of the railway bridge to be tested is calculated based on the bogie response data sample set data at the different bridge span number positions by using a preset damage index calculation formula and a preset Gaussian inverse cumulative distribution function, including:

[0023] Based on the preset damage index calculation formula and the bogie response data sample set data of the different bridge span number positions, the damage index corresponding to each bridge span number position in the different bridge span number positions is calculated;

[0024] According to the preset Gaussian inverse cumulative distribution function and the bogie response data sample set data of the different bridge span number positions, the health threshold value corresponding to each bridge span number position in the different bridge span number positions is calculated;

[0025] Based on the magnitude relationship between the damage index and the health threshold, a damage identification result of the railway bridge to be tested is determined.

[0026] Optionally, based on the magnitude relationship between the damage index and the health threshold, determining a damage identification result of the railway bridge to be tested includes:

[0027] Determine whether the damage index corresponding to each span number in the different span number positions is less than or equal to the health threshold; if so, determine that the span number position whose damage index is less than or equal to the health threshold has no damage; if not, determine that the span number position whose damage index is greater than the health threshold has a damage;

[0028] The damage conditions of the bridge span numbers in the different bridge span number positions are summarized to obtain the damage identification result of the railway bridge to be tested.

[0029] In a second aspect, the present invention provides a railway bridge damage identification device, comprising:

[0030] Acquisition module, used to obtain the bridge structure data of the railway bridge to be tested

[0031] A construction module, used for constructing a coupled dynamics model based on the bridge structure data;

[0032] Establishing a module for calculating the bogie vibration response data of the bridge to be tested in a healthy state and in different damage states respectively by using the coupled dynamics model, so as to establish a bogie response data sample set by using a Monte Carlo sampling method;

[0033] A division module, used for dividing the filtered bogie response data sample set into bogie response data sample set data of different span number positions according to the span number of the railway bridge to be tested;

[0034] The calculation module is used to calculate the damage identification result of the railway bridge to be tested according to the bogie response data sample set data at the different bridge span number positions through a preset damage index calculation formula and a preset Gaussian inverse cumulative distribution function.

[0035] In a third aspect, the present invention provides an electronic device, comprising a processor and a memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the steps in the method provided in the first aspect are performed.

[0036] In a fourth aspect, the present invention provides a storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, runs the steps of the method provided in the first aspect.

[0037] In a fifth aspect, the present invention provides a computer program product, comprising a computer program / instructions, wherein when the computer program is executed by a processor, the steps in the method provided in the first aspect are performed.

[0038] It can be seen from the above technical solutions that the present invention has the following advantages:

[0039] The present invention provides a railway bridge damage identification method, device, electronic device and storage medium. The method comprises: obtaining bridge structure data of the railway bridge to be tested, constructing a coupled dynamics model based on the bridge structure data, using the coupled dynamics model to calculate the bogie vibration response data of the bridge to be tested in a healthy state and in different damage states, respectively, so as to establish a bogie response data sample set by using a Monte Carlo sampling method, and dividing the filtered bogie response data sample set into bogie response data sample set data of different span number positions according to the span number of the railway bridge to be tested, and calculating the damage identification result of the railway bridge to be tested according to the bogie response data sample set data of different span number positions by using a preset damage index calculation formula and a preset Gaussian inverse cumulative distribution function. A set of methods for quickly and accurately detecting the damage status of the railway bridge using the bogie vibration response data calculated by the coupled dynamics model is formed, so as to solve the problem that the existing railway bridge damage identification method is difficult to accurately identify the damage of the whole bridge, and lay an important foundation for preventing safety accidents of railway bridges. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0041] Figure 1 This is a flow chart of a first embodiment of a railway bridge damage identification method of the present invention;

[0042] Figure 2 This is a flow chart of a second embodiment of a railway bridge damage identification method of the present invention;

[0043] Figure 3 The present invention is a structural block diagram of a railway bridge damage identification device embodiment of the present invention. DETAILED DESCRIPTION

[0044] The embodiments of the present invention provide a railway bridge damage identification method, device, electronic device and storage medium, which are used to solve the problem that the existing railway bridge damage identification method is difficult to accurately identify damage to the entire bridge, and lay an important foundation for preventing safety accidents from occurring in railway bridges.

[0045] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] Embodiment 1

[0047] See also Figure 1 , Figure 1 This is a flow chart of a first embodiment of a railway bridge damage identification method of the present invention, the method comprising:

[0048] Step S101, obtaining bridge structure data of the railway bridge to be tested;

[0049] The embodiment of the present invention obtains bridge structure data of the railway bridge to be tested, including data such as bridge elastic modulus, bridge cross-sectional inertia, bridge cross-sectional area, bridge material density, and bridge damping ratio.

[0050] Step S102, constructing a coupled dynamics model based on the bridge structure data;

[0051] In an optional embodiment, constructing a coupled dynamic model based on the bridge structure data includes:

[0052] Obtaining heavy-duty truck structural data and railway track structural data;

[0053] A coupled dynamics model is constructed based on the bridge structure data, the heavy-load truck structure data and the railway track structure data.

[0054] The embodiment of the present invention constructs a coupled dynamics model based on bridge structure data, heavy-duty truck structure data and railway track structure data. The heavy-duty truck structure data includes data such as the body mass, bogie mass, wheelset mass, body nodding inertia and bogie nodding inertia of the heavy-duty truck, and the railway track structure data includes data such as track elastic modulus, track cross-sectional inertia, track cross-sectional area, track material density and track damping ratio.

[0055] Step S103, using the coupled dynamics model, calculating the bogie vibration response data of the bridge to be tested in a healthy state and in different damage states, so as to establish a bogie response data sample set through a Monte Carlo sampling method;

[0056] In an optional embodiment, the coupled dynamics model is used to calculate the bogie vibration response data of the bridge to be tested in a healthy state and in different damage states, respectively, so as to establish a bogie response data sample set by using a Monte Carlo sampling method, including:

[0057] Utilizing the coupled dynamics model, calculating the bogie vibration response data of the bridge to be tested in a healthy state and in different damage states;

[0058] By using the Monte Carlo sampling method, based on the bogie vibration response data, a healthy sample set of the bridge to be tested in a healthy state and a damaged sample set in a damaged state are established;

[0059] The healthy sample set and the damaged sample set are combined to obtain the bogie response data sample set.

[0060] The embodiment of the present invention utilizes a coupled dynamic model to calculate the bogie vibration response data of the bridge to be tested in a healthy state and in different damage states respectively, and through a Monte Carlo sampling method, based on the bogie vibration response data in a healthy state and the bogie vibration response data in different damage states, a healthy sample set of the bridge to be tested in a healthy state and a damaged sample set in a damaged state are established, and the healthy sample set and the damaged sample set are combined to obtain a bogie response data sample set.

[0061] Step S104, dividing the filtered bogie response data sample set into bogie response data sample set data at different span number positions according to the span number of the railway bridge to be tested;

[0062] In an optional embodiment, a time domain subtraction method is used to eliminate the influence of track irregularity on the bogie response data sample set, thereby obtaining a filtered bogie response data sample set;

[0063] According to the span number of the railway bridge to be tested, the filtered bogie response data sample set is divided into bogie response data sample set data at different span number positions.

[0064] The embodiment of the present invention uses a time domain subtraction method to eliminate abnormal data in the bogie response data sample set to obtain a filtered bogie response data sample set, and divides the filtered bogie response data sample set into bogie response data sample set data with different span number positions according to the span number of the railway bridge to be tested.

[0065] Step S105, calculating the damage identification result of the railway bridge to be tested according to the bogie response data sample set data at the different bridge span number positions through a preset damage index calculation formula and a preset Gaussian inverse cumulative distribution function;

[0066] In an optional embodiment, the damage identification result of the railway bridge to be tested is calculated based on the bogie response data sample set data at the different bridge span number positions by using a preset damage index calculation formula and a preset Gaussian inverse cumulative distribution function, including:

[0067] Based on the preset damage index calculation formula and the bogie response data sample set data of the different bridge span number positions, the damage index corresponding to each bridge span number position in the different bridge span number positions is calculated;

[0068] According to the preset Gaussian inverse cumulative distribution function and the bogie response data sample set data of the different bridge span number positions, the health threshold value corresponding to each bridge span number position in the different bridge span number positions is calculated;

[0069] Based on the magnitude relationship between the damage index and the health threshold, a damage identification result of the railway bridge to be tested is determined.

[0070] The embodiment of the present invention calculates the damage index corresponding to each span number position through a preset damage index calculation formula, calculates the health threshold corresponding to the span number position through a preset Gaussian inverse cumulative distribution function, and determines whether the damage index corresponding to each span number position is less than or equal to the health threshold. If so, it is determined that there is no damage condition at the corresponding span number position. If not, it is determined that there is a damage condition at the corresponding span number position, thereby summarizing the damage conditions of each span number position to obtain a damage identification result of the railway bridge to be tested.

[0071] A railway bridge damage identification method provided by an embodiment of the present invention includes: obtaining bridge structure data of a railway bridge to be tested, constructing a coupled dynamics model based on the bridge structure data, using the coupled dynamics model to calculate the bogie vibration response data of the bridge to be tested in a healthy state and in different damage states, respectively, to establish a bogie response data sample set through a Monte Carlo sampling method, dividing the filtered bogie response data sample set into bogie response data sample set data at different span number positions according to the span number of the railway bridge to be tested, and calculating the damage identification result of the railway bridge to be tested according to the bogie response data sample set data at different span number positions through a preset damage index calculation formula and a preset Gaussian inverse cumulative distribution function. A set of methods that can use the bogie vibration response data calculated by the coupled dynamics model to quickly and accurately detect the damage status of the railway bridge is formed, solving the problem that the existing railway bridge damage identification method is difficult to accurately identify the damage of the entire bridge, and laying an important foundation for preventing safety accidents in railway bridges.

[0072] Embodiment 2

[0073] See also Figure 2 , Figure 2 This is a flow chart of a second embodiment of a railway bridge damage identification method of the present invention, the steps comprising:

[0074] S201, obtaining bridge structure data of the railway bridge to be tested;

[0075] The embodiment of the present invention obtains bridge structure data of the railway bridge to be tested, including data such as bridge elastic modulus, bridge cross-sectional inertia, bridge cross-sectional area, bridge material density, and bridge damping ratio.

[0076] S202, obtaining heavy-load truck structure data and railway track structure data;

[0077] The embodiment of the present invention obtains heavy-duty truck structural data and railway track structural data, wherein the heavy-duty truck structural data includes data such as the body mass, bogie mass, wheelset mass, body nod inertia and bogie nod inertia of the heavy-duty truck, and the railway track structural data includes data such as the track elastic modulus, track cross-sectional inertia, track cross-sectional area, track material density and track damping ratio.

[0078] S203, constructing a coupled dynamics model according to the bridge structure data, the heavy-load truck structure data and the railway track structure data;

[0079] The embodiment of the present invention uses bridge structure data, heavy-duty truck structure data and railway track structure data to construct a coupled dynamic model, namely a truck-railway-bridge coupled dynamic model, wherein the coupled dynamic model is a finite element model, and the coupled dynamic model includes a heavy-duty truck vehicle model, a railway track model, a bridge model and a vehicle-track interaction model. The heavy-duty truck vehicle model consists of a car body, two bogies and four wheel pairs, all of which are regarded as rigid bodies, and each component is connected through a primary and secondary suspension system simulated as a linear spring-damper unit. The railway track model consists of rails, fasteners, sleepers and ballast, wherein the fasteners and ballast are simulated as a stiffness-damper system. The bridge model is a simply supported beam bridge, consisting of three spans and each span is simulated as an Euler beam. According to the finite element method, each span bridge is divided into 8 mutually coupled two-dimensional beam unit models, and the wheel-rail interaction force between the heavy-duty truck vehicle model and the railway track model is solved using a close fitting model.

[0080] The dynamic equation corresponding to the coupled dynamic model is as follows:

[0081] [M]{A}+[C]{V}+[K]{X}={F};

[0082] Where [M], [C] and [K] are the mass, damping and stiffness matrices of the coupled dynamics model, respectively; {A}, {V} and {X} are the generalized acceleration, velocity and displacement vectors of the coupled dynamics model, respectively; and {F} is the external force load vector of the coupled dynamics model.

[0083] The kinetic equation is a complex large-scale nonlinear differential equation, and therefore is solved using the Newmark-β direct integration method (the Newmark-β direct integration method belongs to the prior art and will not be described in detail here).

[0084] S204, using the coupled dynamics model, calculating the bogie vibration response data of the bridge to be tested in a healthy state and in different damage states respectively;

[0085] The embodiment of the present invention uses a coupled dynamics model to simulate the situation where a heavy-loaded truck passes through a healthy bridge and a damaged bridge respectively, and obtains the bogie vibration response data of the bridge to be tested in a healthy state and different damaged states respectively through finite element analysis calculation using existing simulation software. The bogie vibration response data can be obtained through existing simulation software, which will not be described in detail here.

[0086] S205, establishing a healthy sample set of the bridge to be tested in a healthy state and a damaged sample set in a damaged state based on the bogie vibration response data by using the Monte Carlo sampling method;

[0087] The embodiment of the present invention samples and analyzes the bogie vibration response data of the bridge to be tested in a healthy state and in different damaged states by using the Monte Carlo sampling method, and obtains a healthy sample set of the bridge to be tested in a healthy state and a damaged sample set of the bridge to be tested in a damaged state. The Monte Carlo sampling method is a prior art and will not be described in detail here.

[0088] S206, combining the healthy sample set and the damaged sample set to obtain the bogie response data sample set;

[0089] The embodiment of the present invention obtains a bogie response data sample set by aggregating a healthy sample set in a healthy state and a damaged sample set in a damaged state.

[0090] S207, using a time domain subtraction method to eliminate the influence of track irregularities on the bogie response data sample set, and obtain a filtered bogie response data sample set;

[0091] The embodiment of the present invention utilizes a time domain subtraction method, that is, utilizing the time difference of passing the same position of a bridge to subtract the data in the bogie response data sample set, so as to eliminate abnormal data in the bogie response data sample set, thereby eliminating the influence of track unevenness on the bogie response data sample set, and obtaining a filtered bogie response data sample set, wherein the abnormal data is data affected by the randomness of track unevenness.

[0092] S208, dividing the filtered bogie response data sample set into bogie response data sample set data at different span number positions according to the span number of the railway bridge to be tested;

[0093] The embodiment of the present invention divides the filtered bogie response data sample set according to the span number, divides the bogie response data belonging to the same span number into data of the same category, and obtains the bogie response data sample set data of different span number positions.

[0094] S209, based on a preset damage index calculation formula and the bogie response data sample set data of the different bridge span number positions, calculate and obtain the damage index corresponding to each bridge span number position in the different bridge span number positions;

[0095] The embodiment of the present invention calculates the damage index corresponding to each bridge span number position in different bridge span number positions according to a preset damage index calculation formula, wherein the damage index is a calculation formula constructed based on the Mahalanobis distance, and the damage index calculation formula is:

[0096]

[0097] Among them, indicator is the damage index; μ 0 is the mean of the healthy sample set; μ n is the mean of the damaged sample set; ∑ 0 is the variance of the healthy sample set; the superscript T is the transposition symbol.

[0098] The bogie response data sample set expression formula is:

[0099] U=[U(t 1 )U(t 2 )…U(t m )];

[0100] μ=[E[U(t 1 )] E[U(t 2 )] … E[U(t m )]];

[0101]

[0102] Σ=E{(U-μ)T (U-μ)};

[0103] Among them, U is the bogie response data sample set data; U(t m ) is the bogie response data sample set data at the mth position; t m is the mth sampling time; μ is the mean value of the bogie response data sample set; E[U(t m )] is the mathematical expectation of the bogie response data sample set at the mth sampling time; μ(t 1 ) is the mean of the bogie response data sample set at the first sampling time; ∑ is the variance of the bogie response data sample set.

[0104] S210, calculating the health threshold corresponding to each bridge span number position in the different bridge span number positions according to a preset Gaussian inverse cumulative distribution function and the bogie response data sample set data of the different bridge span number positions;

[0105] The embodiment of the present invention calculates the health threshold corresponding to each bridge span number position in different bridge span number positions according to a preset Gaussian inverse cumulative distribution function, wherein, because the bogie response number in the bogie response data sample set data approximately obeys the Gaussian distribution, a Gaussian inverse cumulative distribution function is pre-constructed, and when calculating the health threshold, it is only necessary to substitute the corresponding bogie response data sample set data to calculate the health threshold.

[0106] The Gaussian inverse cumulative distribution function is specifically:

[0107]

[0108] Among them, F(x|μ,σ) is the Gaussian inverse cumulative distribution function, μ is the mean of the damage indicator sample set; σ is the standard deviation of the damage indicator sample set.

[0109] The health threshold calculation formula is:

[0110] CB = invF(1-α);

[0111] Among them, CB is the health threshold; inv is the inverse function; α is the confidence level; F(1-α) is the Gaussian inverse cumulative distribution function with a variable of 1-α.

[0112] Based on the Gaussian inverse cumulative distribution function, simulation experiments were carried out and the health threshold was calculated. Due to the independence of the positions of different span numbers, each span of the bridge can share one health threshold.

[0113] S211, based on the magnitude relationship between the damage index and the health threshold, determining a damage identification result of the railway bridge to be tested;

[0114] In an optional embodiment, based on the magnitude relationship between the damage index and the health threshold, determining the damage identification result of the railway bridge to be tested includes:

[0115] Determine whether the damage index corresponding to each span number in the different span number positions is less than or equal to the health threshold; if so, determine that the span number position whose damage index is less than or equal to the health threshold has no damage; if not, determine that the span number position whose damage index is greater than the health threshold has a damage;

[0116] The damage conditions of the bridge span numbers in the different bridge span number positions are summarized to obtain the damage identification result of the railway bridge to be tested.

[0117] The embodiment of the present invention compares the damage index of different span numbered positions with the health threshold to detect whether each span of the bridge to be tested is damaged and the degree of damage. When the damage index is less than or equal to the health threshold, it indicates that the corresponding position of the bridge to be tested is not damaged (i.e., no damage condition occurs) and is in a healthy state; when the damage index is greater than the health threshold, it indicates that the corresponding position of the bridge to be tested is damaged (i.e., a damage condition occurs), and the higher the damage index, the greater the degree of damage.

[0118] The damage conditions of each span number in different span number positions are summarized to obtain the damage identification result of the railway bridge to be tested.

[0119] A railway bridge damage identification method disclosed in an embodiment of the present invention includes: obtaining bridge structure data of a railway bridge to be tested, constructing a coupled dynamics model based on the bridge structure data, using the coupled dynamics model to calculate the bogie vibration response data of the bridge to be tested in a healthy state and in different damage states, respectively, to establish a bogie response data sample set through a Monte Carlo sampling method, dividing the filtered bogie response data sample set into bogie response data sample set data at different span number positions according to the span number of the railway bridge to be tested, and calculating the damage identification result of the railway bridge to be tested according to the bogie response data sample set data at different span number positions through a preset damage index calculation formula and a preset Gaussian inverse cumulative distribution function. The problem that the existing railway bridge damage identification method is difficult to accurately identify the damage of the entire bridge is solved, and an important foundation is laid for preventing safety accidents from occurring in railway bridges. At the same time, the method is highly operable, and the process of railway bridge damage identification in actual use is intuitive and clear, and can be easily promoted and applied to the detection process of heavy-load railway bridge diseases.

[0120] Embodiment 3

[0121] See also Figure 3 , Figure 3This is a structural block diagram of an embodiment of a railway bridge damage identification device of the present invention, the device comprises:

[0122] An acquisition module 301 is used to acquire bridge structure data of a railway bridge to be tested;

[0123] A construction module 302 is used to construct a coupled dynamics model based on the bridge structure data;

[0124] Establishing module 303, for calculating the bogie vibration response data of the bridge to be tested in a healthy state and in different damage states respectively by using the coupled dynamics model, so as to establish a bogie response data sample set by using a Monte Carlo sampling method;

[0125] A division module 304 is used to divide the filtered bogie response data sample set into bogie response data sample set data of different span number positions according to the span number of the railway bridge to be tested;

[0126] The calculation module 305 is used to calculate the damage identification result of the railway bridge to be tested according to the bogie response data sample set data at the different bridge span number positions through a preset damage index calculation formula and a preset Gaussian inverse cumulative distribution function.

[0127] In an optional embodiment, the building module 302 includes:

[0128] An acquisition submodule is used to acquire the structural data of heavy-loaded trucks and the structural data of railway tracks;

[0129] The construction submodule is used to construct a coupled dynamics model according to the bridge structure data, the heavy-load truck structure data and the railway track structure data.

[0130] In an optional embodiment, the establishing module 303 includes:

[0131] The first calculation submodule is used to calculate the bogie vibration response data of the bridge to be tested in a healthy state and in different damage states respectively by using the coupled dynamics model;

[0132] Establishing a submodule, for establishing a healthy sample set of the bridge to be tested in a healthy state and a damaged sample set in a damaged state based on the bogie vibration response data by using the Monte Carlo sampling method;

[0133] The combination submodule is used to combine the healthy sample set and the damaged sample set to obtain the bogie response data sample set.

[0134] In an optional embodiment, the division module 304 includes:

[0135] A elimination submodule, used for eliminating the influence of track irregularity on the bogie response data sample set by using a time domain subtraction method, and obtaining a filtered bogie response data sample set;

[0136] The division submodule is used to divide the filtered bogie response data sample set into bogie response data sample set data with different span number positions according to the span number of the railway bridge to be tested.

[0137] In an optional embodiment, the calculation module 305 includes:

[0138] A second calculation submodule is used to calculate the damage index corresponding to each bridge span number position in the different bridge span number positions based on the preset damage index calculation formula and the bogie response data sample set data of the different bridge span number positions;

[0139] A third calculation submodule is used to calculate the health threshold corresponding to each bridge span number position in the different bridge span number positions according to the preset Gaussian inverse cumulative distribution function and the bogie response data sample set data of the different bridge span number positions;

[0140] The determination submodule is used to determine the damage identification result of the railway bridge to be tested based on the size relationship between the damage index and the health threshold.

[0141] Optionally, the determining submodule includes:

[0142] A judgment unit is used to judge whether the damage index corresponding to each span number in the different span number positions is less than or equal to the health threshold; if so, it is determined that the span number position whose damage index is less than or equal to the health threshold has no damage; if not, it is determined that the span number position whose damage index is greater than the health threshold has a damage;

[0143] The summarizing unit is used to summarize the damage status of each span number in the different span number positions to obtain the damage identification result of the railway bridge to be tested.

[0144] Embodiment 4

[0145] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of a railway bridge damage identification method of any embodiment.

[0146] Embodiment 5

[0147] An embodiment of the present invention further provides a computer storage medium on which a computer program is stored. When the computer program is executed by the processor, the steps of a railway bridge damage identification method in any embodiment are implemented.

[0148] Embodiment 6

[0149] An embodiment of the present invention further provides a computer program product on which a computer program is stored. When the computer program is executed by the processor, the steps of a railway bridge damage identification method in any embodiment are implemented.

[0150] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0151] In the several embodiments provided in the present application, it should be understood that the methods, devices, electronic devices and storage media disclosed in the present invention can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0152] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0153] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0154] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a readable storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned readable storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0155] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A railway bridge damage identification method, characterized in that: include: Obtaining bridge structure data of the railway bridge to be tested; Based on the bridge structure data, a coupled dynamic model is constructed; The coupled dynamics model is used to calculate the bogie vibration response data of the bridge to be tested in a healthy state and in different damage states, respectively, so as to establish a bogie response data sample set through a Monte Carlo sampling method; According to the span number of the railway bridge to be tested, the filtered bogie response data sample set is divided into bogie response data sample set data at different span number positions; The damage identification result of the railway bridge to be tested is calculated based on the preset damage index calculation formula and the preset Gaussian inverse cumulative distribution function and the bogie response data sample set data at the different bridge span number positions.

2. The railway bridge damage identification method according to claim 1, characterized in that: Based on the bridge structure data, a coupled dynamic model is constructed, including: Obtaining structural data of heavy-loaded trucks and railway bridges; A coupled dynamics model is constructed based on the bridge structure data, the heavy-load truck structure data and the railway bridge structure data.

3. The railway bridge damage identification method according to claim 1, characterized in that: The coupled dynamics model is used to calculate the bogie vibration response data of the bridge to be tested in a healthy state and in different damage states, respectively, so as to establish a bogie response data sample set through a Monte Carlo sampling method, including: Utilizing the coupled dynamics model, calculating the bogie vibration response data of the bridge to be tested in a healthy state and in different damage states; By using the Monte Carlo sampling method, based on the bogie vibration response data, a healthy sample set of the bridge to be tested in a healthy state and a damaged sample set in a damaged state are established; The healthy sample set and the damaged sample set are combined to obtain the bogie response data sample set.

4. The railway bridge damage identification method according to claim 1, characterized in that: According to the span number of the railway bridge to be tested, the filtered bogie response data sample set is divided into bogie response data sample set data at different span number positions, including: Using a time domain subtraction method, eliminating the influence of track irregularity on the bogie response data sample set, and obtaining a filtered bogie response data sample set; According to the span number of the railway bridge to be tested, the filtered bogie response data sample set is divided into bogie response data sample set data at different span number positions.

5. The railway bridge damage identification method according to claim 1, characterized in that: The damage identification result of the railway bridge to be tested is calculated by using a preset damage index calculation formula and a preset Gaussian inverse cumulative distribution function according to the bogie response data sample set data at the different bridge span number positions, including: Based on the preset damage index calculation formula and the bogie response data sample set data of the different bridge span number positions, the damage index corresponding to each bridge span number position in the different bridge span number positions is calculated; According to the preset Gaussian inverse cumulative distribution function and the bogie response data sample set data of the different bridge span number positions, the health threshold value corresponding to each bridge span number position in the different bridge span number positions is calculated; Based on the magnitude relationship between the damage index and the health threshold, a damage identification result of the railway bridge to be tested is determined.

6. The railway bridge damage identification method according to claim 1, characterized in that: Based on the magnitude relationship between the damage index and the health threshold, determining a damage identification result of the railway bridge to be tested includes: Determine whether the damage index corresponding to each span number in the different span number positions is less than or equal to the health threshold; if so, determine that the span number position whose damage index is less than or equal to the health threshold has no damage; if not, determine that the span number position whose damage index is greater than the health threshold has a damage; The damage conditions of the span numbers in the different span number positions are summarized to obtain the damage identification result of the railway bridge to be tested.

7. A railway bridge damage identification device, characterized in that: include: Acquisition module, used to obtain the bridge structure data of the railway bridge to be tested A construction module, used for constructing a coupled dynamics model based on the bridge structure data; Establishing a module for calculating the bogie vibration response data of the bridge to be tested in a healthy state and in different damage states respectively by using the coupled dynamics model, so as to establish a bogie response data sample set by using a Monte Carlo sampling method; A division module, used for dividing the filtered bogie response data sample set into bogie response data sample set data of different span number positions according to the span number of the railway bridge to be tested; The calculation module is used to calculate the damage identification result of the railway bridge to be tested according to the bogie response data sample set data at the different bridge span number positions through a preset damage index calculation formula and a preset Gaussian inverse cumulative distribution function.

8. An electronic device, characterized in that: The method comprises a processor and a memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the method according to any one of claims 1 to 6 is executed.

9. A 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 6 is executed.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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