Corrosion identification method and device, electronic equipment and storage medium

Abstract

The disclosure provides a corrosion identification method, comprising the following steps: collecting macro strain response of all units of a target structure under excitation, the target structure comprising N units, wherein the excitation comprises stationary excitation and non-stationary excitation, N is a positive integer; obtaining a macro strain energy spectrum transfer rate according to the macro strain response; performing macro strain modal analysis of the unit constrained by the system pole of the macro strain energy spectrum transfer rate, and obtaining a macro strain modal vector of the target structure {δ 1r ,δ 2r ,...,δ mr ,...} T , wherein δ mr is the rth mode of the mth unit, and r is the mode order; obtaining a macro strain damage fingerprint of the unit according to the macro strain modal vector of the target structure before and after damage. The disclosure also provides a corrosion identification device, an electronic device and a readable storage medium.

Description

Technical Field

[0001] This disclosure relates to a corrosion identification method, apparatus, electronic device, and storage medium. Background Technology

[0002] Existing technologies for monitoring steel corrosion in concrete structures can be broadly categorized into two types: electrochemical and non-electrochemical methods. Most electrochemical methods can only measure single electrochemical parameters, which are insufficient to accurately and comprehensively describe the corrosion status of steel reinforcement given the complex corrosion processes within concrete. Among non-electrochemical methods, acoustic emission technology suffers from drawbacks such as rapid signal attenuation and susceptibility to external environmental interference. Ultrasonic guided wave technology, X-ray scanning, and computed tomography (CT) all require specialized equipment and are unsuitable for monitoring large-scale structures. Traditional fiber optic sensors have limitations in their limited measurement range and require pre-winding around the steel reinforcement before casting. Existing technologies using long-gauge fiber optic sensors for corrosion monitoring also have limitations, such as the need for stable excitation, making them unsuitable for corrosion monitoring in practical engineering projects. Summary of the Invention

[0003] To address at least one of the aforementioned technical problems, this disclosure provides a corrosion identification method, apparatus, electronic device, and storage medium.

[0004] According to one aspect of this disclosure, a corrosion identification method is provided, comprising the following steps:

[0005] The macro-strain response of all elements of the target structure under excitation is collected. The target structure includes N elements, where the excitation includes stationary excitation and non-stationary excitation, and N is a positive integer.

[0006] Based on the macro-strain response, the macro-strain energy spectral transfer rate is obtained.

[0007] in, The macro-strain interevolution power spectral density is the value of the m-th element and the n-th element. Let e ​​be the macro-strain interevolution power spectral density corresponding to the e-th element and the n-th element, m = 1, 2, ..., N, n = 1, 2, ..., N, e = 1, 2, ..., N;

[0008] Based on the macro-strain energy spectral transfer rate, macro-strain modal analysis is performed on the element constrained by the system poles of the macro-strain energy spectral transfer rate to obtain the macro-strain modal vector {δ} of the target structure. 1r δ 2r ,...,δ mr , ...} T , where δ mrLet r be the r-th mode of the m-th unit, where r is the mode order.

[0009] Based on the macro-strain mode vectors of the target structure before and after damage, the macro-strain damage fingerprint of the unit is obtained.

[0010] According to at least one embodiment of the corrosion identification method of this disclosure, a macro-strain damage fingerprint of the unit is obtained based on the macro-strain mode vectors of the target structure before and after damage, including:

[0011] The macro-strain mode vector is normalized to obtain the normalized macro-strain mode vector;

[0012] Based on the normalized macro-strain mode vectors of the target structure before and after damage, the macro-strain damage fingerprint of the unit is obtained.

[0013] According to at least one embodiment of the corrosion identification method of this disclosure, based on the macro-strain energy spectral transfer rate, macro-strain modal analysis is performed on the unit constrained by the system poles of the macro-strain energy spectral transfer rate to obtain the macro-strain modal vector of the target structure, including the following steps:

[0014] Constructing a matrix Obtain the matrix The singular values;

[0015] Constructor function Solving for the peak value of the function yields the system poles, where σ i (s) is a matrix The i-th singular value.

[0016] The corrosion identification method according to at least one embodiment of the present disclosure further includes the following steps:

[0017] It also includes at least z, constructing a matrix. Obtain the matrix The singular values;

[0018] Constructor function Solving for the peak value of the function yields the system poles, where z = 1, 2, ..., N and z ≠ m. Take matrix The matrix of the reciprocal of the i-th singular value The average of the reciprocals of the i-th singular value.

[0019] According to the corrosion identification method of at least one embodiment of this disclosure, the system pole λ is... r Substitute into matrix The macro-strain mode vector is obtained.

[0020] According to at least one embodiment of the corrosion identification method of this disclosure, the macro-strain response includes: the macro-strain response of the unit surface.

[0021] The corrosion identification method according to at least one embodiment of the present disclosure further includes the step of:

[0022] Collect the electrochemical parameters of the unit;

[0023] The corrosion status of the unit is obtained based on the macro-strain damage fingerprint and the electrochemical parameters of the unit.

[0024] According to one aspect of this disclosure, a corrosion identification device is provided, comprising:

[0025] The acquisition module is used to acquire the macro-strain response of all elements of the target structure under excitation. The target structure includes N elements, wherein the excitation includes stationary excitation and non-stationary excitation, and N is a positive integer.

[0026] The analysis module is used to obtain the macro-strain energy spectral transfer rate based on the macro-strain response.

[0027] in, The macro-strain interevolution power spectral density is the value of the m-th element and the n-th element. Let e ​​be the macro-strain interevolution power spectral density corresponding to the e-th element and the n-th element, m = 1, 2, ..., N, n = 1, 2, ..., N, e = 1, 2, ..., N;

[0028] Furthermore, based on the macro-strain energy spectrum transfer rate, macro-strain modal analysis is performed on the unit constrained by the system poles of the macro-strain energy spectrum transfer rate to obtain the macro-strain modal vector {δ} of the target structure. 1r δ 2r ,...,δ mr , ...} T , where δ mr Let r be the r-th mode of the m-th unit, where r is the mode order.

[0029] The identification module is used to obtain the macro-strain damage fingerprint of the unit based on the macro-strain mode vectors of the target structure before and after damage.

[0030] According to one aspect of this disclosure, an electronic device is provided, comprising: a memory storing execution instructions; and a processor executing the execution instructions stored in the memory, causing the processor to perform the corrosion identification method described above.

[0031] According to one aspect of this disclosure, a readable storage medium is provided that stores executable instructions, which, when executed by a processor, are used to implement the corrosion identification method described above. Attached Figure Description

[0032] The accompanying drawings illustrate exemplary embodiments of the present disclosure and, together with the description thereof, serve to explain the principles of the present disclosure. These drawings are included to provide a further understanding of the present disclosure and are incorporated in and constitute a part of this specification.

[0033] Figure 1 This is a flowchart illustrating the steps of an embodiment of the corrosion identification method disclosed herein.

[0034] Figure 2 The sensor network topology is an embodiment of the corrosion identification method disclosed herein.

[0035] Figure 3 This is a schematic block diagram of a corrosion identification device using a hardware implementation of a processing system, as one embodiment of the present disclosure. Detailed Implementation

[0036] The present disclosure will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the disclosure. Furthermore, it should be noted that, for ease of description, only the parts relevant to the present disclosure are shown in the accompanying drawings.

[0037] It should be noted that, where there is no conflict, the embodiments and features described in this disclosure can be combined with each other. The technical solutions of this disclosure will now be described in detail with reference to the accompanying drawings and embodiments.

[0038] Unless otherwise stated, the exemplary implementations / embodiments shown are to be understood as providing exemplary features of various details that provide ways in which the technical concepts of this disclosure can be implemented in practice. Therefore, unless otherwise stated, the features of various implementations / embodiments may be additionally combined, separated, interchanged and / or rearranged without departing from the technical concepts of this disclosure.

[0039] The use of crosshairs and / or shading in the accompanying drawings is generally used to clarify the boundaries between adjacent components. Thus, unless otherwise stated, the presence or absence of crosshairs or shading does not convey or indicate any preference or requirement for the specific material, material properties, dimensions, proportions, commonalities between the illustrated components, or any other characteristics, properties, etc., of the components. Furthermore, in the accompanying drawings, the dimensions and relative dimensions of components may be exaggerated for clarity and / or descriptive purposes. When exemplary embodiments can be implemented differently, a specific process sequence may be performed in a different order than that described. For example, two consecutively described processes may be performed substantially simultaneously or in the reverse order of their description. Furthermore, the same reference numerals denote the same components.

[0040] When a component is referred to as being "on" or "above" another component, "connected to," or "joined to" another component, the component may be directly on, directly connected to, or directly joined to the other component, or there may be intermediate components. However, when a component is referred to as being "directly on" another component, "directly connected to," or "directly joined to" another component, there are no intermediate components. Therefore, the term "connection" can refer to a physical connection, an electrical connection, etc., and may or may not have intermediate components.

[0041] The terminology used herein is for the purpose of describing particular embodiments and is not intended to be limiting. As used herein, unless the context clearly indicates otherwise, the singular forms “a” and “the” are intended to include the plural forms as well. Furthermore, when the terms “comprising” and / or “including” and variations thereof are used in this specification, it indicates the presence of the stated features, integrals, steps, operations, parts, components, and / or groups thereof, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, parts, components, and / or groups thereof. It should also be noted that, as used herein, the terms “substantially,” “about,” and other similar terms are used as approximate terms rather than as terms of degree, thus explaining the inherent biases in measurements, calculated values, and / or provided values ​​that would be recognized by one of ordinary skill in the art.

[0042] The following text combines Figures 1 to 2 The corrosion identification method disclosed herein is described in detail.

[0043] Example 1

[0044] refer to Figure 1 The corrosion identification method includes the following steps:

[0045] S100. Collect the macro-strain response of all elements of the target structure under excitation. The target structure includes N elements, wherein the excitation includes stationary excitation and non-stationary excitation, and N is a positive integer.

[0046] S200. Based on the macro-strain response, obtain the macro-strain energy spectral transfer rate.

[0047] in, The macro-strain interevolution power spectral density is the value of the m-th element and the n-th element. Let e ​​be the macro-strain interevolution power spectral density corresponding to the e-th element and the n-th element, m = 1, 2, ..., N, n = 1, 2, ..., N, e = 1, 2, ..., N;

[0048] S300. Based on the macro-strain energy spectral transfer rate, perform macro-strain modal analysis on the element constrained by the system poles of the macro-strain energy spectral transfer rate to obtain the macro-strain modal vector {δ} of the target structure. 1r δ 2r ,...,δ mr , ...} T , where δ mr Let r be the r-th mode of the m-th unit, where r is the mode order.

[0049] S400. Based on the macro-strain mode vectors of the target structure before and after damage, obtain the macro-strain damage fingerprint of the unit.

[0050] A stationary stimulus is a time process in which the statistical properties do not change over time. The mathematical definition of "statistical properties not changing over time" is that its major statistics are independent of the starting point of time. For example, expectation is the same at different times, or it is autocorrelation (which only depends on the time interval).

[0051] Non-stationary excitation refers to a time process in which statistical characteristics change over time.

[0052] (1) Corrosion identification based on macro-strain modes of structure

[0053] In this embodiment, the target structure is a bridge pier.

[0054] In this embodiment, without the structural information and excitation information of the target structure, physical information is collected only by long gauge length sensors deployed on the surface of the unit of the target structure, and the macro-strain modes of the structure are identified to realize the corrosion identification of the unit.

[0055] refer to Figure 2In this embodiment, the long gauge length sensor uses a long gauge length fiber optic strain sensor developed by Dongzhi Company. The wavelength change is acquired by an SM130 demodulator manufactured by MOI Company, which has four acquisition channels and a maximum sampling frequency of 1000 Hz.

[0056] When a long gauge-length fiber Bragg grating strain sensor is mounted on a structure and fixed at both ends, the strain reflected by the center wavelength shift represents the average strain within the sensor's coverage area, i.e., the gauge unit.

[0057] Δλ=(1-P ε )·Δε·λ+(α f +ζ)·ΔT (1)

[0058] In the formula, λ represents the center wavelength, Δλ is the change in center wavelength, Δε is the average strain generated within the gauge unit, ΔT is the temperature change, and P... ε α f ζ and ζ represent the effective elastic coefficient, thermal expansion coefficient, and thermo-optic coefficient of the optical fiber, respectively.

[0059] When corrosion occurs within a gauge length element, it causes changes in the rotation information of the nodes on both sides. Since there is a certain geometric relationship between macro-strain and element rotation, as shown in equation (2), the change in element rotation is ultimately reflected in the change in element macro-strain. Therefore, the macro-strain response contains corrosion information of the structure.

[0060]

[0061] In the formula, For the macro-strain of the m-th element, L m h is the length of the m-th unit. m Let θ be the distance from the sensor surface to the neutral axis, i and j be the two nodes on both sides of the m-th element, and θ represent the angular displacement of the node.

[0062] Next, the macro-strain modes of the structure were identified using modal analysis.

[0063] Based on the macro-strain response time histories of the m-th element and the n-th element, the macro-strain inter-evolution power spectral densities corresponding to the m-th and n-th elements are obtained.

[0064] Define macro-strain energy spectrum transmissibility (MEST).

[0065]

[0066] In the formula, To transform the power spectral density of macro-strain interconversion The macro-strain energy spectrum obtained by integration.

[0067] The nth element is used as the reference element. It can be proven that the macro-strain energy spectral transferability at the system poles is equal to the ratio of the macro-strain modes of the corresponding element: for different reference elements, at the system poles, the macro-strain energy spectral transferability... All will tend towards the ratio of the macro-strain modes of the m-th element to the e-th element.

[0068]

[0069] In the formula, δ mr Let r be the r-th macro-strain mode of the m-th element relative to a reference element, where r is the mode order.

[0070] This property is utilized in conjunction with the Singular Value Decomposition (SVD) method to extract the macro-strain modes of the structure.

[0071] First, the macro-strain energy spectral transfer ratios of the m-th element and the 1st, 2nd, ..., Nth elements, with the 1st, 2nd, ..., Nth elements as the reference element, are combined to construct the MEST matrix. As shown in equation (5).

[0072]

[0073] In this embodiment, multiple MEST matrices are constructed, which are matrices corresponding to different elements (by changing the value of m). This can reduce the occurrence of spurious modalities.

[0074] When at the system poles, equation (5) becomes:

[0075]

[0076] In the formula, λ r is the system pole of the r-th order mode.

[0077] As can be seen from equation (6), the matrix Any row is equal to the ratio of the same macro-strain modes.

[0078] At this point, the SVD method can be used to help identify the macro-strain modal parameters of the structure. Since the rank of is 1, the second to the last singular values ​​obtained after singular value decomposition are all 0.

[0079]

[0080] In the formula, For matrix The singular values ​​obtained after performing singular value decomposition.

[0081] The matrices corresponding to different units (changing the value of m) The singular values ​​obtained after singular value decomposition (from the second to the last singular value) correspond to the modal orders. The reciprocals of each modal order are taken, and their arithmetic mean is calculated. These arithmetic mean values ​​are then multiplied together to obtain the π(s) function.

[0082]

[0083] In the formula, Let represent the average of the reciprocals of the i-th singular value. From equation (7), it can be seen that when the variable s approaches the system pole, π(s) will approach ∞. Therefore, the system pole can be determined by identifying the peak value of the π(s) function graph.

[0084] Select matrix Substituting the system poles into any column, the elements of that column become the macro-strain mode vector of the structure:

[0085] {δ 1r δ 2r ,...,δ mr , ...} T (9)

[0086] The macro-strain response of the structure under non-stationary excitation was collected under both the damage-free condition and after a period of operation. The macro-strain mode vector of the structure was identified, normalized, and then the macro-strain damage fingerprint vector of the structure was constructed.

[0087] {β 1r ,β 2r , ..., β mr , ...} T (10)

[0088]

[0089] In the formula, β mr This is the r-th order macro-strain damage fingerprint of the m-th element, where * indicates damage after... It represents the r-th normalized macro-strain mode of the m-th element relative to a certain reference element.

[0090]

[0091] For intact elements, the corresponding macro-strain damage fingerprint is 0, indicating that the element has not been damaged. When the steel reinforcement of an element corrodes, the damage fingerprint corresponding to the corroded element is greater than 0, and the greater the degree of corrosion, the larger the value of the macro-strain damage fingerprint, thus enabling corrosion identification.

[0092] (2) Corrosion identification based on electrochemical parameters

[0093] This embodiment simultaneously utilizes an electrochemical sensor to collect multiple electrochemical parameters, combining the physical and chemical information of the structure for corrosion identification.

[0094] refer to Figure 2 In this embodiment, an electrochemical multifunctional sensor developed by Lego Materials Technology Co., Ltd. is used for electrochemical monitoring of the corrosion process. The sensor has a cross-sectional dimension of 4cm × 4cm and a length of 20cm. This sensor uses an all-solid-state manganese dioxide electrode as the reference electrode and can simultaneously monitor the self-corrosion potential of the reinforcing steel, the corrosion rate of the reinforcing steel, the corrosion current of the reinforcing steel, the polarization resistance, and the Cl- content of the concrete. - The concentration and pH value of the concrete provide more comprehensive in-situ information on the corrosion process of steel bars and the chemical environment of concrete.

[0095] An electrochemical multifunctional sensor is connected to a steel corrosion monitor. This electrochemical monitor has six corrosion monitoring channels and can convert the steel corrosion state into an electrical signal, which is sent to the working machine. The working machine uses supporting software to excite the signal and collect data, and calculates the corrosion rate based on the collected electrochemical parameters according to the electrochemical kinetic equation.

[0096] By combining the collected electrochemical parameters with macro-strain mode information, the corrosion status inside the structure can be assessed and reflected more accurately and fully.

[0097] In this embodiment, the sensor network topology is as follows: Figure 2 As shown. Connect the long gauge sensor to the demodulator according to the sensor circuit, and connect the electrochemical probe to the rebar monitor. Configure the wireless network adapter and send test signal packets to test whether the transmission is normal. Check that the power cord and signal cable are properly connected. After checking, set the data acquisition frequency according to the sampling period requirements and start data acquisition.

[0098] Figure 3 This is a schematic block diagram of a corrosion identification device using a hardware implementation of a processing system, as one embodiment of the present disclosure.

[0099] The corrosion identification device 1000 includes:

[0100] The acquisition module 1002 is used to acquire the macro-strain response of all elements of the target structure under excitation. The target structure includes N elements, wherein the excitation includes stationary excitation and non-stationary excitation, and N is a positive integer.

[0101] Analysis module 1004 is used to obtain the macro-strain energy spectral transfer rate based on the macro-strain response.

[0102] in, The macro-strain interevolution power spectral density is the value of the m-th element and the n-th element. Let e ​​be the macro-strain interevolution power spectral density corresponding to the e-th element and the n-th element, m = 1, 2, ..., N, n = 1, 2, ..., N, e = 1, 2, ..., N;

[0103] Furthermore, based on the macro-strain energy spectrum transfer rate, macro-strain modal analysis is performed on the unit constrained by the system poles of the macro-strain energy spectrum transfer rate to obtain the macro-strain modal vector {δ} of the target structure. 1r δ 2r ,...,δ mr , ...} T , where δ mr Let r be the r-th mode of the m-th unit, where r is the mode order.

[0104] The identification module 1006 is used to obtain the macro-strain damage fingerprint of the unit based on the macro-strain mode vectors of the target structure before and after damage.

[0105] The apparatus may include corresponding modules that perform one or more steps in the flowchart above. Therefore, each or more steps in the flowchart above can be performed by a corresponding module, and the apparatus may include one or more of these modules. A module may be one or more hardware modules specifically configured to perform a corresponding step, or implemented by a processor configured to perform a corresponding step, or stored in a computer-readable medium for implementation by a processor, or implemented through some combination thereof.

[0106] This hardware architecture can be implemented using a bus architecture. The bus architecture can include any number of interconnect buses and bridges, depending on the specific application and overall design constraints of the hardware. Bus 1100 connects various circuits, including one or more processors 1200, memory 1300, and / or hardware modules. Bus 1100 can also connect various other circuits 1400, such as peripherals, voltage regulators, power management circuits, external antennas, etc.

[0107] Bus 1100 can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Component (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of representation, only one connection line is used in this diagram, but this does not imply that there is only one bus or only one type of bus.

[0108] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing a particular logical function or process, and the scope of preferred embodiments of this disclosure includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as will be understood by those skilled in the art to which embodiments of this disclosure pertain. The processor performs the various methods and processes described above. For example, the method embodiments of this disclosure can be implemented as software programs tangibly contained in a machine-readable medium, such as memory. In some embodiments, part or all of the software program can be loaded and / or installed via memory and / or a communication interface. When the software program is loaded into memory and executed by the processor, one or more steps of the methods described above can be performed. Alternatively, in other embodiments, the processor can be configured to perform the methods described above by any other suitable means (e.g., by means of firmware).

[0109] The logic and / or steps represented in the flowchart or otherwise described herein may be specifically implemented in any readable storage medium for use by, or in conjunction with, an instruction execution system, apparatus or device (such as a computer-based system, a processor-included system or other system that can fetch and execute instructions from, an instruction execution system, apparatus or device).

[0110] For the purposes of this specification, a "readable storage medium" can be any means capable of containing, storing, communicating, propagating, or transmitting a program for use by or in conjunction with an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of readable storage media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and portable read-only memory (CDROM). Furthermore, a readable storage medium can even be paper or other suitable media on which a program can be printed, since a program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in memory.

[0111] It should be understood that various parts of this disclosure can be implemented in hardware, software, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0112] Those skilled in the art will understand that all or part of the steps of the methods described above can be implemented by a program instructing related hardware. The program can be stored in a readable storage medium, and when executed, the program includes one or a combination of the steps of the method implementation.

[0113] Furthermore, the functional units in the various embodiments of this disclosure can be integrated into a single processing module, or each unit can exist physically separately, or two or more units can be integrated into a single module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a readable storage medium. The storage medium can be a read-only memory, a disk, or an optical disk, etc.

[0114] This disclosure also provides an electronic device, including: a memory storing execution instructions; and a processor or other hardware module executing the execution instructions stored in the memory, causing the processor or other hardware module to perform the corrosion identification method described above.

[0115] This disclosure also provides a readable storage medium storing executable instructions, which, when executed by a processor, are used to implement the corrosion identification method described above.

[0116] This disclosure can be applied to the fields of civil engineering, structural design, and structural health monitoring.

[0117] In the description of this specification, the references to terms such as "one embodiment / mode," "some embodiments / modes," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment / mode or example is included in at least one embodiment / mode or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment / mode or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments / modes or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments / modes or examples described in this specification, as well as the features of different embodiments / modes or examples.

[0118] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying 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 application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0119] Those skilled in the art should understand that the above embodiments are merely for illustrating the present disclosure and are not intended to limit the scope of the disclosure. Those skilled in the art can make other changes or modifications based on the above disclosure, and these changes or modifications still fall within the scope of the present disclosure.

Claims

1. A corrosion identification method, characterized in that, Includes the following steps: The macro-strain response of all elements of the target structure under excitation is collected. The target structure includes... Each unit contains several units, wherein the incentives include stationary incentives and non-stationary incentives. It is a positive integer; Based on the macro-strain response, the macro-strain energy spectral transfer rate is obtained. , in, For the first The unit and the first The macro-strain interevolution power spectral density corresponding to each element For the first The unit and the first The macro-strain interevolution power spectral density corresponding to each element , , ; Based on the macro-strain energy spectral transfer rate, macro-strain modal analysis is performed on the element constrained by the system poles of the macro-strain energy spectral transfer rate to obtain the macro-strain modal vector of the target structure. ,in, For the first The first unit First mode, The modal order specifically includes: constructing the matrix , to obtain the matrix Singular values; constructing functions Solve for the peak value of the function to obtain the system poles, where, For matrix The A singular value; the system poles Substitute into matrix The macro-strain mode vector is obtained; Based on the macro-strain mode vectors of the target structure before and after damage, the macro-strain damage fingerprint of the unit is obtained.

2. The corrosion identification method as described in claim 1, characterized in that, Based on the macro-strain mode vectors of the target structure before and after damage, the macro-strain damage fingerprint of the element is obtained, including: The macro-strain mode vector is normalized to obtain the normalized macro-strain mode vector; Based on the normalized macro-strain mode vectors of the target structure before and after damage, the macro-strain damage fingerprint of the unit is obtained.

3. The corrosion identification method as described in claim 1, characterized in that, It also includes the following steps: At least also includes Constructing a matrix , to obtain the matrix The singular values; Constructor function Solve for the peak value of the function to obtain the system poles, where, and , Take matrix The The matrix of the reciprocals of the singular values The The average of the reciprocals of the singular values.

4. The corrosion identification method as described in claim 1, characterized in that, The macro-strain response includes the macro-strain response of the unit surface.

5. The corrosion identification method as described in claim 1, characterized in that, It also includes the following steps: Collect the electrochemical parameters of the unit; The corrosion status of the unit is obtained based on the macro-strain damage fingerprint and the electrochemical parameters of the unit.

6. A corrosion identification device, characterized in that, include: The acquisition module is used to acquire the macro-strain response of all elements of the target structure under excitation. The target structure includes... Each unit contains several units, wherein the incentives include stationary incentives and non-stationary incentives. It is a positive integer; The analysis module is used to obtain the macro-strain energy spectral transfer rate based on the macro-strain response. ,in, For the first The unit and the first The macro-strain interevolution power spectral density corresponding to each element For the first The unit and the first The macro-strain interevolution power spectral density corresponding to each element , , ; and based on the macro-strain energy spectrum transfer rate, perform macro-strain modal analysis on the elements constrained by the system poles of the macro-strain energy spectrum transfer rate to obtain the macro-strain modal vector of the target structure. ,in, For the first The first unit First mode, The modal order specifically includes: constructing the matrix , to obtain the matrix Singular values; constructing functions Solve for the peak value of the function to obtain the system poles, where, For matrix The A singular value; the system poles Substitute into matrix The macro-strain mode vector is obtained; The identification module is used to obtain the macro-strain damage fingerprint of the unit based on the macro-strain mode vectors of the target structure before and after damage.

7. An electronic device, characterized in that, include: The memory stores execution instructions; as well as A processor that executes the execution instructions stored in the memory, causing the processor to perform the corrosion identification method according to any one of claims 1 to 5.

8. A readable storage medium, characterized in that, The readable storage medium stores execution instructions, which, when executed by a processor, are used to implement the corrosion identification method according to any one of claims 1 to 5.

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