Method for constructing time-varying corrosion quantity model of bridge cable alloy coated steel wire

Abstract

The embodiment of the application discloses a kind of bridge cable alloy coating steel wire time-varying corrosion quantity quantization model construction methods, it is related to bridge cable steel wire corrosion modeling and prediction field.The method comprises: obtaining the bridge cable alloy coating steel wire to be modeled;According to the corrosion rate coefficient of coating material, the corrosion rate formula of zinc is corrected, and the corrosion rate formula of coating material is obtained, wherein the corrosion rate formula of zinc is obtained by zinc atmospheric corrosion test, and the atmospheric corrosion test uses plate body by default, and the corrosion rate coefficient is used to represent the corrosion rate ratio of coating material plate and zinc plate;According to the corrosion rate formula of coating material, the model that corrosion depth of alloy coating steel plate changes with time is constructed;According to the corrosion depth relationship of plate body and cylinder with same material under same time, the model is converted into the model that corrosion depth of alloy coating steel wire changes with time.This embodiment is suitable for a variety of plated steel wires, and the application range is wide.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of bridge cable steel wire corrosion modeling and prediction, and in particular to a method for constructing a time-varying corrosion quantification model for alloy-coated bridge cable steel wires. Background Art

[0002] Corrosion of high-strength steel wire used in bridge cables is crucial for ensuring the safety and durability of bridge structures. Bridge cables are subjected to both immense mechanical stress and environmental corrosion. Corrosion not only degrades the wire's mechanical properties but can also lead to structural failure, shortening the bridge's service life. As bridges age, wire corrosion has become a crucial component of bridge maintenance. Corrosion can weaken the wire, causing cracks and breakage, and even serious failures. Therefore, predicting and preventing wire corrosion is crucial.

[0003] By establishing a steel wire corrosion prediction model, using sensor technology to monitor the steel wire corrosion status, and taking new anti-corrosion measures, the impact of steel wire corrosion can be reduced, which not only improves the maintenance efficiency of the bridge, but also extends the service life of the bridge and reduces the maintenance costs caused by steel wire corrosion.

[0004] In the prior art, the paper Guo J, Zhong Y L. Prediction of cable deteriorationbased on the characteristics of delamination corrosion on hot-dip galvanizedsteel wire [J]. Journal of Materials in Civil Engineering, 2025, 37(6):04025150 proposed a corrosion prediction model and prediction method for bridge cable steel wire. However, this model and method are only applicable to pure zinc-coated steel wire, and do not consider the corrosion mechanism of different coating types. Therefore, it is impossible to predict the corrosion process of other coated steel wires. Summary of the Invention

[0005] An embodiment of the present invention provides a method for constructing a time-varying corrosion quantification model for alloy-coated steel wires of bridge cables to construct a corrosion quantification model applicable to steel wires of various coating types, so as to realize the corrosion depth prediction of steel wires of various coating types.

[0006] In a first aspect, an embodiment of the present invention provides a method for constructing a quantitative model of time-varying corrosion of alloy-coated steel wires in bridge cables, comprising:

[0007] Obtaining an alloy-coated steel wire for a bridge cable to be modeled, wherein the coating material of the alloy-coated steel wire includes zinc, zinc-aluminum, or zinc-aluminum-magnesium;

[0008] According to the corrosion rate coefficient of the coating material, the corrosion rate formula of zinc is modified to obtain the corrosion rate formula of the coating material, wherein the corrosion rate formula of zinc is obtained through an atmospheric corrosion test of zinc. The atmospheric corrosion test uses a plate-shaped body by default. The corrosion rate coefficient is used to characterize the corrosion rate ratio of the coating material plate to the zinc plate;

[0009] According to the corrosion rate formula of the coating material, a model of the corrosion depth of the alloy-coated steel plate changing with time is constructed;

[0010] According to the relationship between the corrosion depths of a plate-shaped object and a cylinder having the same material at the same time, the model is converted into a model of the corrosion depth of the alloy-coated steel wire changing with time.

[0011] In a second aspect, an embodiment of the present invention provides an electronic device, comprising:

[0012] one or more processors;

[0013] a memory for storing one or more programs;

[0014] When the one or more programs are executed by the one or more processors, the one or more processors implement the method for constructing a quantitative model of time-varying corrosion of alloy-coated steel wire for bridge cables, or the method for quantitatively predicting time-varying corrosion of alloy-coated steel wire for bridge cables as described in any embodiment.

[0015] In a third aspect, an embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for constructing a quantitative model of time-varying corrosion of alloy-coated steel wires for bridge cables, or the method for quantitatively predicting time-varying corrosion of alloy-coated steel wires for bridge cables as described in any embodiment.

[0016] In summary, the present invention provides a method for constructing and predicting a time-varying corrosion quantification model for alloy-coated steel wire used in bridge cables. First, by replacing each multi-metal coating material (e.g., zinc-aluminum, zinc-aluminum-magnesium) with an ideal metal, the coating material properties are described. Based on the layered corrosion characteristics of alloy-coated steel, corrosion rate formulas are established for the passivation film, coating material layer, alloy layer, and steel substrate, respectively. This model is then used to construct a corrosion kinetics model for alloy-coated steel plates. Next, by considering the differences in corrosion rate variations between plate-like and cylindrical structures during the corrosion process, the corrosion kinetics model is transformed into a cross-section using the same corrosion volume and initial contact surface, resulting in a corrosion depth prediction model for multi-coated steel wire. Finally, empirical corrosion parameters are derived based on atmospheric environmental parameters (temperature, humidity, and salinity) at the bridge site. Coating thickness parameters are then measured using an instrument and substituted into the steel wire corrosion depth prediction model to quantitatively predict the corrosion depth of the wire. This method is applicable to bridge cable cables with various coating types and any bridge site environment, making it highly practical. Furthermore, it considers the influence of wire diameter, making corrosion depth prediction more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 This is a flow chart of a method for constructing a time-varying corrosion quantification model for alloy-coated steel wires in bridge cables provided by an embodiment of the present invention;

[0019] Figure 2 1 is a schematic structural diagram of a coated steel wire provided by an embodiment of the present invention;

[0020] Figure 3 This is a schematic diagram of cross-section conversion provided by an embodiment of the present invention;

[0021] Figure 4 This is a flow chart of a method for quantitatively predicting time-varying corrosion of alloy-coated steel wires in bridge cables provided by an embodiment of the present invention;

[0022] Figure 5 This is a flow chart for constructing and predicting a quantitative model for time-varying corrosion of alloy-coated steel wires in bridge cables provided by an embodiment of the present invention;

[0023] Figure 6 A schematic structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0024] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention are described clearly and completely below. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. All other embodiments derived by persons of ordinary skill in the art based on the embodiments of the present invention without inventive effort are also within the scope of protection of the present invention.

[0025] In the description of the present invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings and are intended solely to facilitate and simplify the description of the present invention. They are not intended to indicate or imply that the devices or components referred to must have, be constructed, or operate in a specific orientation, and therefore should not be construed as limitations on the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0026] In the description of the present invention, it should also be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood broadly. For example, they may refer to fixed, detachable, or integral connections; mechanical or electrical connections; direct or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on the specific circumstances.

[0027] Figure 1 This is a flow chart of a method for constructing a quantitative model of time-varying corrosion of alloy-coated steel wires in bridge cables provided by an embodiment of the present invention. The method is executed by an electronic device, such as Figure 1 As shown, the method specifically includes the following steps:

[0028] S110. Obtain alloy-coated steel wires for bridge cables to be modeled, wherein the coating material of the alloy-coated steel wires includes zinc, zinc-aluminum, or zinc-aluminum-magnesium.

[0029] To improve the corrosion resistance of bridge cable steel wire, hot-dip coating is currently used for protection. This commonly used hot-dip coating process can produce alloy-coated steel wires, including pure zinc-coated steel wire, zinc-aluminum-coated steel wire, and zinc-aluminum-magnesium-coated steel wire. Pure zinc-coated steel wire is coated with zinc; zinc-aluminum-coated steel wire is coated with zinc-aluminum (a mixture of zinc and aluminum); and zinc-aluminum-magnesium-coated steel wire is coated with zinc-aluminum-magnesium (a mixture of zinc, aluminum, and magnesium).

[0030] S120. According to the corrosion rate coefficient of the coating material, the corrosion rate formula of zinc is corrected to obtain the corrosion rate formula of the coating material, wherein the corrosion rate formula of zinc is obtained through an atmospheric corrosion test of zinc. The atmospheric corrosion test uses a plate-shaped body by default. The corrosion rate coefficient is used to characterize the corrosion rate ratio of the coating material plate to the zinc plate.

[0031] This embodiment uses the time-varying corrosion quantification model of pure zinc-coated steel wire as a reference to construct a time-varying corrosion quantification model applicable to various alloy-coated steel wires. Figure 2 A schematic diagram of the structure of a coated steel wire is shown, comprising an internal steel substrate and an outer coating. The coating, in descending order, can be further divided into a passivation film, a coating material layer, an alloy layer composed of a mixture of the coating material and iron, and a steel substrate. For pure zinc-coated steel wire, the coating material layer is a pure zinc material layer (also called a zinc substrate), while the alloy layer is a mixture of zinc and iron. In the quantitative time-varying corrosion model of pure zinc-coated steel wire, the corrosion rate formulas for the zinc and steel substrates are the foundation of the entire model, so the corrosion rate formulas for the zinc and steel substrates are introduced first.

[0032] Specifically, the corrosion kinetics formula of pure metal is shown in formula (1):

[0033] (1)

[0034] Where D represents the corrosion depth of pure metal; Indicates time; It indicates the amount of corrosion of pure metal in the actual atmosphere in the first year, and is a measure of the initial corrosion resistance of pure metal. It is related to the density of metal corrosion products; Represents the index corresponding to pure metal. This index is used to characterize the protective effect of metal corrosion products on the metal surface and is related to the density of the corrosion products. In this embodiment, this index is called the corrosion protection index. The smaller it is, the better the protective effect of the metal's corrosion products. The value of will not affect corrosion in the first year, but will affect corrosion in subsequent years; and These are empirical corrosion parameters in pure metal atmospheric tests.

[0035] Then the corrosion kinetics of zinc and steel can be expressed by equations (2) and (3):

[0036] (2)

[0037] (3)

[0038] in, and represent the corrosion depth of zinc and steel respectively, and Represent the corrosion amount of zinc and steel in the actual atmosphere in the first year, and Indices representing zinc and steel respectively; and It is the corrosion experience parameter in the zinc atmospheric corrosion test. and It is an empirical corrosion parameter in steel atmospheric corrosion tests.

[0039] Apply equations (2) and (3) to By taking the derivative, we can obtain the corrosion rate functions of zinc and steel respectively, as shown in equations (4) and (5):

[0040] (4)

[0041] (5)

[0042] in, and are the corrosion rates of zinc and steel, and Respectively and right The first derivative of .

[0043] Then, use equations (2) and (3) to convert equations (4) and (5) into After replacement, the corrosion depth is The corrosion rates of zinc and steel at , are shown in Equations (6) and (7):

[0044] (6)

[0045] (7)

[0046] in, and Respectively and Follow In this embodiment, equation (6) is referred to as the corrosion rate formula for zinc, and equation (7) is referred to as the corrosion rate formula for steel.

[0047] However, the corrosion rate formula in formula (6) is only applicable to the zinc substrate of pure zinc coatings, and is not applicable to zinc-aluminum coatings and zinc-aluminum-magnesium coatings. Therefore, this embodiment uses pure zinc coatings as a reference and introduces the corrosion rate coefficient of the coating material to correct the corrosion rate formula of the coating material. Specifically, for zinc-aluminum coatings and zinc-aluminum-magnesium coatings, this embodiment ignores the characteristics of metal mixing in the coating material and treats the coating material as a single metal material. The corrosion rate coefficient of the coating material refers to the ratio of the corrosion rate of the single metal material to the corrosion rate of the pure zinc material. Optionally, this ratio can be obtained by fitting salt spray test data.

[0048] In a specific embodiment, for zinc-aluminum-plated and zinc-aluminum-magnesium-plated alloy-coated steel wires, the alloy-coated steel wires and pure zinc-coated steel wires of the same size as the alloy-coated steel wires can be subjected to salt spray tests under the same salt spray environment; and based on the mass difference between the alloy-coated steel wires and the pure zinc-coated steel wires before and after the test, the ratio of the corrosion rate of the coating material to that of zinc is calculated. Specifically, first, the salt spray test conditions are set as needed (such as the temperature of the salt spray test chamber, the temperature of the pressure barrel, the continuous spray time, the interval spray time, the salt spray deposition amount, etc.), and then zinc-aluminum-coated steel wires, zinc-aluminum-magnesium-coated steel wires and pure zinc-coated steel wires of the same diameter, length and strength are selected as test objects, and the initial masses of the three steel wires are weighed respectively. Then, put the three steel wires into the test box at the same time, and take them out at the same time after a period of time, and weigh the weight of the three steel wires after the salt spray test. . Use zinc-aluminum coated steel wire , divided by the pure zinc-coated steel wire , we can get the ratio of the corrosion rate of zinc-aluminum-coated steel wire to the corrosion rate of pure zinc-coated steel wire; , divided by the pure zinc-coated steel wire , we can obtain the ratio of the corrosion rate of the zinc-aluminum-magnesium-coated steel wire to the corrosion rate of the pure zinc-coated steel wire. After weighing, the three types of steel wire are placed in the test chamber and continue the salt spray test. After a period of time, they are taken out and weighed again. This process is repeated multiple times to obtain multiple sets of salt spray test data. By fitting all the data, we can obtain a relatively reasonable corrosion rate ratio.

[0049] Furthermore, the surfaces of the three steel wires can be divided into two parts: the coating and the steel substrate. Figure 2 The above salt spray process is controlled before the salt spray corrodes the steel substrate. The above ratio can be used as the corrosion rate ratio of the coating material to the pure zinc material. In this embodiment, this ratio is called the corrosion rate coefficient of the coating material, which is recorded as . Preferably, after testing, the zinc-aluminum-magnesium coating material It can be taken as 0.2, the zinc-aluminum coating material It can be taken as 0.41. In addition, It can also be obtained by fitting any corrosion test, such as a neutral salt spray accelerated test, an acetic acid salt spray test, a copper accelerated salt spray test, an electrochemical corrosion test, etc., which is not specifically limited in this embodiment.

[0050] The coating material coefficient Introducing into formula (2), we can get:

[0051] (8)

[0052] in, Indicates the corrosion depth of the coating material.

[0053] Then, according to the same derivation process as equations (4) and (6), the corrosion rate formula of the coating material can be obtained, as shown in equation (9):

[0054] (9)

[0055] in, Indicates the corrosion rate of the coating material, express Follow Function of change.

[0056] Especially, when When , formula (9) is the corrosion rate formula of zinc, so the corrected corrosion rate formula of this embodiment and the subsequent entire method are also applicable to pure zinc-coated steel wire.

[0057] S130. Construct a model of the corrosion depth of the alloy-coated steel plate changing with time based on the corrosion rate formula of the coating material.

[0058] As mentioned above, since atmospheric corrosion tests are usually performed on plate-shaped specimens, the above formulas are applicable to alloy-coated steel plates made of the same material as the alloy-coated steel wire, thereby obtaining a corrosion depth model for the alloy-coated steel plates.

[0059] For details, see Figure 2 The alloy-coated steel plate can also be subdivided into the passivation film, coating material layer, alloy layer and steel substrate in the order from the surface to the inside. The depth of each layer interface is as follows: Figure 2 As shown, Indicates the depth of the interface between the passivation film and the coating material layer. Indicates the depth of the interface between the coating material layer and the alloy layer. Indicates the depth of the interface between the alloy layer and the steel substrate. This embodiment will construct the relationship between the corrosion time and the corrosion depth layer by layer.

[0060] In a specific embodiment, first, based on the corrosion rate formula of the coating material, the relationship between the corrosion time and the corrosion depth in the coating material layer is constructed. Specifically, for the coating material layer, according to formula (8), it can be obtained:

[0061] (10)

[0062] The corrosion depth within the coating material layer satisfy ,therefore .Will Substituting into formula (10), we can get:

[0063] (11)

[0064] In formula (11) It is a function of the corrosion time within the coating material layer as the corrosion depth changes.

[0065] Then, based on the empirical formula of the corrosion rate of the passivation film and the coating material layer, the relationship between the corrosion time in the passivation film and the corrosion depth is constructed. Specifically, the corrosion depth in the passivation film satisfy The rate coefficient is introduced into the zinc matrix corrosion rate formula. , we can get the function of corrosion time in the passivation film as a function of depth :

[0066] (12)

[0067] in:

[0068] (13)

[0069] Substituting equations (9) and (13) into equation (12), we can obtain the expanded relationship function:

[0070] (14)

[0071] Optional, represents the exponent in the rate coefficient, The value of is determined as follows: Studies have shown that in pure zinc-coated steel wire, the corrosion rate of the passive film is about one-fifth of that of the pure zinc layer. Based on this relationship, the following equation can be constructed:

[0072] (15)

[0073] Solving equation (15), we can determine The value of .

[0074] In addition, based on the ratio of the coating material to the iron content in the alloy layer, the relationship between the corrosion time and the corrosion depth in the alloy layer can be constructed. Specifically, according to the GDS (Gamma Data Spectrum) diagram, in the alloy layer of pure zinc-coated steel wire, the zinc-iron content shows a curve change, and the curve can be simplified into a linear relationship to determine the zinc-iron content ratio in the alloy layer. With this as a reference, for zinc-aluminum-coated steel wire or zinc-aluminum-magnesium-coated steel wire, the coating material zinc-aluminum or zinc-aluminum-magnesium can also be simplified into one metal, and the content ratio of this type of metal to iron in the steel wire alloy layer can also be determined in a linear relationship. At the same time, in the alloy layer, the corrosion depth satisfy , then the content ratio of the coating material to iron can be expressed as formula (16) (17):

[0075] (16)

[0076] (17)

[0077] in, Indicates the corrosion depth of the coating material The content ratio of the following: Indicates the corrosion depth of iron The content ratio under the condition of . Then the relationship between the corrosion time in the alloy layer and the depth is shown in formula (18):

[0078] (18)

[0079] Combining equations (9), (7), (12), and (17), we can get the expanded :

[0080] (19)

[0081] Finally, based on the corrosion rate formula of iron in atmospheric corrosion tests, the relationship between the corrosion time and corrosion depth in the steel matrix can be constructed. Specifically, for the steel matrix, according to formula (3), it can be obtained:

[0082] (20)

[0083] The corrosion depth in the steel matrix satisfy , so we can Divided into and Substituting the two parts into formula (20) respectively, we finally get:

[0084] (twenty one)

[0085] In formula (21) It is the function of the corrosion time in the steel matrix as the corrosion depth changes. The reason for the two parts is: Later, metallic iron appeared, and This part has been calculated in the previous alloy layer, so it needs to be subtracted.

[0086] So far, we have obtained Figure 2 The relationship between the corrosion time of each layer and the corrosion depth is obtained by integrating these functions (11)(12)(18)(21):

[0087] (twenty two)

[0088] Finally, the relationship between the corrosion time and corrosion depth of the alloy-coated steel plate is transformed into a model of the corrosion depth of the alloy-coated steel plate changing with time. Alternatively, by taking the inverse function of Equation (22), the corrosion kinetics model of alloy-coated steel plates can be obtained, as shown in Equation (23):

[0089] (twenty three)

[0090] in, Represents the function representation of the model.

[0091] S140. Convert the model into a model of the corrosion depth of the alloy-coated steel wire changing with time based on the relationship between the corrosion depths of a plate-shaped object and a cylinder made of the same material at the same time.

[0092] As mentioned above, the empirical corrosion parameters in model (23) are taken from atmospheric corrosion test data. In atmospheric tests, plate-shaped bodies are used. The corrosion surface exposed to air is mainly the front of the plate-shaped body, and the corrosion area remains unchanged during the corrosion process. However, the steel wire to be modeled in this embodiment is a cylinder. As the corrosion depth increases, the corrosion area will gradually decrease, so the corrosion rate (corrosion depth rate) will gradually increase. Therefore, the corrosion depth of the cylinder and the plate-shaped body under the same corrosion time is different. This embodiment fully considers this point and converts the model (23) obtained in S130 into a corrosion depth model suitable for steel wire.

[0093] Generally speaking, under the same atmospheric environment, the actual atmosphere has the same corrosive ability on the same material. Therefore, for two material bodies with the same material but different cross-sections, if they have the same contact surface with the atmosphere at the initial moment (the contact area is also the same), then after the same corrosion time, the corrosion volume of the two material bodies should be the same.

[0094] Specifically in this embodiment, combined with Figure 3 For a plate and a cylinder made of the same material and with the same initial contact surface with air, firstly, the length of the rectangular cross section in the plate is equal to the circumference of the circular cross section in the cylinder. ,in, is the radius of the circular cross section.

[0095] Secondly, after the same corrosion time, the corrosion depth of the plate is recorded as , the corrosion depth of the cylinder is recorded as , since the corrosion volumes of the two materials are the same, we have:

[0096] (twenty four)

[0097] therefore:

[0098] (25)

[0099] In formula (23), As Substituting into formula (25), we can get the model of the corrosion depth of alloy-coated steel wire changing with time: .

[0100] Based on the above model , Figure 4 This is a flow chart of a quantitative prediction method for time-varying corrosion of alloy-coated steel wires in bridge cables provided by an embodiment of the present invention. Figure 4 As shown, the method specifically includes:

[0101] S210: Obtain alloy-coated steel wires for bridge cables to be predicted, wherein the coating material of the alloy-coated steel wires includes zinc, zinc-aluminum, or zinc-aluminum-magnesium.

[0102] The alloy-coated steel wire for the bridge cable to be predicted here can be a pure zinc-coated steel wire, or a zinc-aluminum-coated steel wire, or a zinc-aluminum-magnesium-coated steel wire, or a steel wire with a coating material made of a mixture of zinc and other metals.

[0103] S220, the corrosion rate coefficient of the coating material and the empirical corrosion parameters of iron and zinc in the atmospheric corrosion test at the bridge site are substituted into the model , to predict the corrosion depth of the alloy-coated steel wire.

[0104] Optionally, atmospheric environmental data of the location of the bridge can be collected; the atmospheric environmental data can be compared with environmental data of atmospheric corrosion tests of zinc and iron in various places; and the corrosion empirical parameters corresponding to the test site with the most similar atmospheric environmental data can be selected as the corrosion empirical parameters of iron and zinc in the atmospheric corrosion test at the location of the bridge.

[0105] In one embodiment, since the atmospheric corrosion test takes too long and the zinc and iron corrosion test data at various test stations are relatively abundant, environmental monitoring instruments can be used to measure the atmospheric environmental data (including temperature, humidity, salinity, etc.) at the bridge site. These data are compared with the environmental data of zinc and iron atmospheric corrosion tests at various locations, and empirical parameters at locations with similar atmospheric environments are selected as empirical parameters for zinc and iron corrosion at the bridge site. 、 、 and This method directly uses the data from test stations with similar environments, which can reduce time costs and ensure considerable data accuracy. At the same time, field emission scanning electron microscope and energy spectrometer can be used to test the coating of the alloy-coated steel wire for the predicted bridge cable to obtain the coating thickness parameters. 、 and Finally, 、 、 、 ,as well as 、 、 Substitute into the model , quantify and predict the corrosion depth of this type of steel wire through the model .

[0106] The above process from modeling to prediction can also be combined with Figure 5 The flowchart shown in the figure can be understood, wherein the corrosion inverse dynamics model refers to the model (i.e., formula) in which the corrosion time varies with the corrosion depth, and the corrosion dynamics model is the model (i.e., formula) in which the corrosion depth varies with the corrosion time.

[0107] In summary, the present invention provides a method for constructing and predicting a time-varying corrosion quantification model for alloy-coated steel wire used in bridge cables. First, by replacing each multi-metal coating material (e.g., zinc-aluminum, zinc-aluminum-magnesium) with an ideal metal, the coating material properties are described. Based on the layered corrosion characteristics of alloy-coated steel, corrosion rate formulas are established for the passivation film, coating material layer, alloy layer, and steel substrate, respectively. This results in a corrosion kinetics model suitable for alloy-coated steel plates. Next, by considering the differences in corrosion rate variations between plates and cylinders during the corrosion process, the corrosion kinetics model is transformed into a cross-section using the same corrosion volume and initial contact surface, resulting in a corrosion depth prediction model suitable for multi-coated steel wire. Finally, empirical corrosion parameters are derived from atmospheric environmental parameters (temperature, humidity, and salinity) at the bridge site. Coating thickness parameters are measured using an instrument, and these parameters are substituted into the steel wire corrosion depth prediction model to quantitatively predict the corrosion depth of the steel wire. This method is applicable to bridge cable cables with various coating types and any bridge site environment, demonstrating its versatility. It also considers the influence of wire diameter, making corrosion depth prediction more accurate.

[0108] Figure 6 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention is shown in FIG. Figure 6 As shown, the device includes a processor 60, a memory 61, an input device 62 and an output device 63; the number of processors 60 in the device can be one or more. Figure 6 In the embodiment, a processor 60 is used as an example; the processor 60, the memory 61, the input device 62 and the output device 63 in the device can be connected by a bus or other means. Figure 6 The bus connection is taken as an example.

[0109] Memory 61, as a computer-readable storage medium, can be used to store software programs, computer-executable programs, and modules, such as the program instructions / modules corresponding to the method for constructing a quantitative model for time-varying corrosion of alloy-coated steel wires for bridge cables, as described in embodiments of the present invention. Processor 60 executes the software programs, instructions, and modules stored in memory 61 to perform various functional applications and data processing of the device, thereby implementing the aforementioned method for constructing a quantitative model for time-varying corrosion of alloy-coated steel wires for bridge cables, or the method for quantitatively predicting time-varying corrosion of alloy-coated steel wires for bridge cables.

[0110] The memory 61 may primarily include a program storage area and a data storage area. The program storage area may store an operating system and at least one application required for a function; the data storage area may store data generated based on the use of the terminal. Furthermore, the memory 61 may include high-speed random access memory and non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state memory device. In some instances, the memory 61 may further include memory remotely located relative to the processor 60, and these remote memories may be connected to the device via a network. Examples of such networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0111] The input device 62 may be used to receive input digital or character information and generate key signal input related to user settings and function control of the device. The output device 63 may include a display device such as a display screen.

[0112] An embodiment of the present invention also provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the method for constructing a quantitative model of time-varying corrosion of alloy-coated steel wires for bridge cables or the method for quantitatively predicting time-varying corrosion of alloy-coated steel wires for bridge cables of any embodiment is implemented.

[0113] The computer storage medium of the embodiments of the present invention may adopt any combination of one or more computer-readable media. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, device, or device.

[0114] A computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0115] Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0116] Computer program code for performing the operations of the present invention can be written in one or more programming languages, or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as C or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0117] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present invention.

Claims

1. A method for constructing a quantitative model of time-varying corrosion of alloy-coated steel wires in bridge cables, characterized in that: include: Obtaining an alloy-coated steel wire for a bridge cable to be modeled, wherein the coating material of the alloy-coated steel wire includes zinc, zinc-aluminum, or zinc-aluminum-magnesium; According to the corrosion rate coefficient of the coating material, the corrosion rate formula of zinc is modified to obtain the corrosion rate formula of the coating material, wherein the corrosion rate formula of zinc is obtained through an atmospheric corrosion test of zinc. The atmospheric corrosion test uses a plate-shaped body by default. The corrosion rate coefficient is used to characterize the corrosion rate ratio of the coating material plate to the zinc plate; According to the corrosion rate formula of the coating material, a model of the corrosion depth of the alloy-coated steel plate changing with time is constructed; According to the law that the actual atmosphere has the same corrosive ability on the same material, the corrosion volume of materials with the same material but different cross-sections at the same time is considered to be the same; Based on the same corrosion volume and the same initial air contact area, the corrosion depth relationship of the plate and cylinder with the same material at the same time is determined: （25）， in, represents the corrosion depth of the cylinder, Indicates the corrosion depth of the plate. represents the radius of the circular cross section in the cylinder; According to formula (25), the model is converted into a model in which the corrosion depth of the alloy-coated steel wire changes with time.

2. The construction method according to claim 1, characterized in that The zinc corrosion rate formula is modified according to the corrosion rate coefficient of the coating material, including: Collecting salt spray test data of the alloy-coated steel wire and a pure zinc-coated steel wire having the same size as the alloy-coated steel wire under the same salt spray environment; Calculating the mass difference between the alloy-coated steel wire and the pure zinc-coated steel wire before and after the test based on the salt spray test data; Calculating the corrosion rate coefficient of the coating material according to the mass difference; Wherein, each steel wire is divided into a coating and a steel substrate, and the salt spray test data is the test data before the salt spray corrodes the steel substrate of each steel wire.

3. The construction method according to claim 1, characterized in that The corrosion rate formula for zinc is: （6）， in, represents the corrosion rate of zinc, Indicates the corrosion depth, express Follow Function of change; and It is the corrosion experience parameter in the zinc atmospheric corrosion test. Indicates the amount of corrosion of zinc in the actual atmosphere in the first year, Indicates the corrosion protection index of zinc; Accordingly, the corrosion rate formula of zinc is modified according to the corrosion rate coefficient of the coating material to obtain the corrosion rate formula of the coating material, including: According to the corrosion rate coefficient of the coating material By modifying formula (6), the corrosion rate formula of the coating material is obtained: （9）， in, Indicates the corrosion rate of the coating material, express Follow Function of change.

4. The construction method according to claim 1, wherein The method of constructing a model of the corrosion depth of the alloy-coated steel plate changing with time based on the corrosion rate formula of the coating material includes: In order from the outside to the inside, the alloy-coated steel plate is subdivided into a passivation film, a coating material layer, an alloy layer composed of a mixture of coating material and iron, and a steel substrate; According to the corrosion rate formula of the coating material, the relationship between the corrosion time and the corrosion depth in the coating material layer is constructed; Based on the empirical formula of the corrosion rate of the passivation film and the coating material layer, the relationship between the corrosion time in the passivation film and the corrosion depth is constructed; Constructing a relationship between corrosion time and corrosion depth in the alloy layer based on a ratio of the coating material to the iron content in the alloy layer; According to the corrosion rate formula of iron, the relationship between the corrosion time and the corrosion depth in the steel matrix is ​​constructed; The relationship between the corrosion time and the corrosion depth in each layer is integrated simultaneously to obtain the relationship between the corrosion time and the corrosion depth of the alloy-coated steel plate; The relationship between the corrosion time and the corrosion depth of the alloy-coated steel plate is transformed into a model in which the corrosion depth of the alloy-coated steel plate changes with time.

5. A quantitative prediction method for time-varying corrosion of alloy-coated steel wires in bridge cables, characterized in that: include: Obtaining alloy-coated steel wires of bridge cables to be predicted, wherein the coating material of the alloy-coated steel wires includes zinc, zinc-aluminum, or zinc-aluminum-magnesium; The corrosion rate coefficient of the coating material and the empirical corrosion parameters of iron and zinc in the atmospheric corrosion test at the bridge location are substituted into the model of the corrosion depth of the alloy-coated steel wire changing with time obtained by the construction method described in any one of claims 1 to 4 to predict the corrosion depth of the alloy-coated steel wire.

6. The prediction method according to claim 5, characterized in that Substituting the corrosion rate coefficient of the coating material and the empirical corrosion parameters of iron and zinc in atmospheric corrosion tests at the bridge site into the model of the corrosion depth of the alloy-coated steel wire obtained by the construction method over time, the model includes: Collect atmospheric environment data at the bridge location; Comparing the atmospheric environmental data with environmental data of zinc and iron atmospheric corrosion tests in various locations; The corrosion empirical parameters of the test site with the most similar atmospheric environmental data are selected as the corrosion empirical parameters of iron and zinc in the atmospheric corrosion test at the location of the bridge.

7. The prediction method according to claim 5, characterized in that Substituting the corrosion rate coefficient of the coating material and the empirical corrosion parameters of iron and zinc in atmospheric corrosion tests at the bridge site into the model of the corrosion depth of the alloy-coated steel wire obtained by the construction method over time, the model includes: The alloy-coated steel wire is subdivided into a passivation film, a coating material layer, an alloy layer formed by mixing the coating material and iron, and a steel substrate in order from the outside to the inside; Using a field emission scanning electron microscope and an energy dispersive spectrometer, the coating of the alloy-coated steel wire is inspected to obtain the depth of the interface between the passivation film and the coating material layer, the depth of the interface between the coating material layer and the alloy layer, and the depth of the interface between the alloy layer and the steel substrate; Each depth, the corrosion rate coefficient of the coating material, and the empirical corrosion parameters of iron and zinc in the atmospheric corrosion test at the bridge site are substituted into the model of the corrosion depth of the alloy-coated steel wire changing with time obtained by the construction method.

8. An electronic device, characterized in that: include: one or more processors; a memory for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors implement the method for constructing a quantitative model of time-varying corrosion of alloy-coated steel wire for bridge cables as described in any one of claims 1-4, or the method for quantitatively predicting time-varying corrosion of alloy-coated steel wire for bridge cables as described in any one of claims 5-7.

9. A computer-readable storage medium, characterized in that A computer program is stored thereon, which, when executed by a processor, implements the method for constructing a quantitative model of time-varying corrosion of alloy-coated steel wires for bridge cables as described in any one of claims 1-4, or the method for quantitatively predicting time-varying corrosion of alloy-coated steel wires for bridge cables as described in any one of claims 5-7.

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