Parallel steel wire cable corrosion fatigue life estimation method and system

Abstract

This invention discloses a method and system for estimating the corrosion fatigue life of parallel wire cables. The method includes: obtaining the current year and a preset time-varying corrosion model to determine the corrosion rate of the wires in the cable; simulating the fatigue life of each wire in the cable according to the wire corrosion fatigue life model, and calculating the fatigue damage index of each wire; when a wire in the cable has a fatigue damage index greater than or equal to a first preset value, obtaining the wire breakage rate; and stopping the calculation when the wire breakage rate reaches a second preset value, thus obtaining the corrosion fatigue life. This invention considers time-varying corrosion factors to establish the wire corrosion fatigue life model, therefore, by incorporating time-varying corrosion factors into the life estimation process, it is easier to perform global life estimation.

Description

Technical Field

[0001] This invention relates to the field of civil engineering technology, and in particular to a method and system for estimating the corrosion fatigue life of parallel steel wire cables. Background Technology

[0002] Stay cables are the most critical load-bearing components of cable-stayed bridges, playing a vital role in their safe service life. Theoretically, the fatigue life of stay cables should be obtained through fatigue testing. However, fatigue testing of large-diameter cables requires sophisticated loading equipment and is labor-intensive and time-consuming, making it difficult to implement. Furthermore, cable damage is mostly due to the combined effects of corrosion and fatigue, with corrosion being a crucial factor, which is difficult to account for in fatigue testing. Establishing a fatigue life prediction model for stay cables can effectively address the problems of complex fatigue testing and limited consideration of factors.

[0003] Currently, the establishment of models for predicting the corrosion fatigue life of stay cables generally adopts the method of deriving the cable life from the fatigue life model of high-strength steel wires. First, corrosion tests are conducted on the high-strength steel wires to obtain high-strength steel wires with different corrosion rates. Then, fatigue tests are performed on the steel wires with different corrosion rates to obtain a fatigue life distribution model for the steel wires. Finally, the parallel steel wire stay cable is simplified into a parallel system composed of steel wires, and the corrosion fatigue life of the cable is obtained through Monte Carlo simulation. However, most current models considering corrosion effects only predict the fatigue life of the cable by assuming a single corrosion rate, making it difficult to perform global life estimation.

[0004] Therefore, existing technologies still need to be improved and enhanced. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to provide a method and system for estimating the corrosion fatigue life of parallel steel wire cables, in order to address the above-mentioned deficiencies of the prior art. The aim is to solve the problem that most existing models that consider corrosion effects only estimate the fatigue life of cables by assuming a single corrosion rate, making it difficult to estimate the global life.

[0006] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is as follows:

[0007] In a first aspect, the present invention provides a method for estimating the corrosion fatigue life of parallel steel wire cables, wherein the method includes:

[0008] Obtain the current year and the preset time-varying corrosion model to determine the corrosion rate of the steel wires inside the cable;

[0009] The fatigue life of each wire in the cable was simulated based on the steel wire corrosion fatigue life model, and the fatigue damage index of each wire was calculated.

[0010] When a wire with a fatigue damage index greater than or equal to a first preset value appears in the cable, the wire breakage rate is obtained. When the wire breakage rate reaches a second preset value, the calculation stops and the corrosion fatigue life is obtained.

[0011] In one implementation, the time-varying corrosion model is represented as:

[0012] d(t)=C r (t-t0) γ , where C r γ is the annual corrosion rate, γ is the long-term corrosion constant, and t0 is the corrosion time of the galvanized layer.

[0013] In one implementation, the step of simulating the fatigue life of each steel wire in the cable based on a steel wire corrosion fatigue life model and calculating the fatigue damage index of each steel wire includes:

[0014] Random numbers are randomly generated based on the steel wire corrosion fatigue life model, and the number of random numbers is the same as the number of parallel steel wires in the cable.

[0015] Simulate the fatigue life of each steel wire in the cable and sort them from smallest to largest;

[0016] The fatigue damage index of each steel wire is calculated on an annual basis.

[0017] In one implementation, the steel wire corrosion fatigue life model is expressed as:

[0018]

[0019] K = K0 × exp(rw), where K is a preset parameter, N is the fatigue life, w is the corrosion rate, and K0, r, c and d are the parameters to be estimated in the model.

[0020] In one implementation, the fatigue damage index is expressed as:

[0021] Among them, M i The Miner cumulative fatigue damage index of the i-th wire in the cable; N1 is the number of fatigue cycles of the wires in the cable that have not broken in the first year, N i,1 The fatigue lives of m steel wires in the stay cable are arranged in ascending order.

[0022] In one implementation, when a wire with a fatigue damage index greater than or equal to a first preset value appears in the cable, the wire breakage rate is obtained, and when the wire breakage rate reaches a second preset value, the calculation stops, and the corrosion fatigue life is obtained, including:

[0023] When a wire with a fatigue damage index greater than or equal to the first preset value appears in the cable, calculate the fatigue stress amplitude after stress redistribution and record the wire breakage rate.

[0024] When the wire breakage rate is greater than the second preset value, the calculation stops and the corrosion fatigue life is obtained;

[0025] When the wire breakage rate is less than the second preset value, the fatigue damage index of all steel wires in the cable is calculated repeatedly.

[0026] In one implementation, the first preset value is 1, and the second preset value is 10%.

[0027] Secondly, embodiments of the present invention also provide a system for estimating the corrosion fatigue life of parallel steel wire cables, characterized in that the system comprises:

[0028] The corrosion rate determination module is used to obtain the current year and the preset time-varying corrosion model to determine the corrosion rate of the steel wires inside the cable;

[0029] The fatigue damage simulation module is used to simulate the fatigue life of each steel wire in the cable based on the steel wire corrosion fatigue life model, and to calculate the fatigue damage index of each steel wire.

[0030] The fatigue life determination module is used to obtain the wire breakage rate when there are steel wires in the cable with a fatigue damage index greater than or equal to a first preset value, and to stop the calculation when the wire breakage rate reaches a second preset value, and to obtain the corrosion fatigue life.

[0031] Thirdly, embodiments of the present invention also provide a terminal device, wherein the terminal device includes a memory, a processor, and a parallel wire cable corrosion fatigue life estimation program stored in the memory and executable on the processor. When the processor executes the parallel wire cable corrosion fatigue life estimation program, it implements the steps of the parallel wire cable corrosion fatigue life estimation method of any of the above-mentioned schemes.

[0032] Fourthly, embodiments of the present invention also provide a computer-readable storage medium storing a parallel wire cable corrosion fatigue life estimation program. When the parallel wire cable corrosion fatigue life estimation program is executed by a processor, it implements the steps of the parallel wire cable corrosion fatigue life estimation method of any of the above-described schemes.

[0033] Beneficial Effects: Compared with existing technologies, this invention provides a method for estimating the corrosion fatigue life of parallel wire cables. First, this invention obtains the current year and a preset time-varying corrosion model to determine the corrosion rate of the wires within the cable. Then, it simulates the fatigue life of each wire within the cable based on the wire corrosion fatigue life model and calculates the fatigue damage index of each wire. Finally, when a wire with a fatigue damage index greater than or equal to a first preset value appears in the cable, the wire breakage rate is obtained. The calculation stops when the wire breakage rate reaches a second preset value, and the corrosion fatigue life is obtained. This invention considers time-varying corrosion factors in establishing the wire corrosion fatigue life model; therefore, by incorporating time-varying corrosion factors into the life estimation process, global life estimation is easier. Attached Figure Description

[0034] Figure 1 A flowchart illustrating a specific implementation method for estimating the corrosion fatigue life of parallel steel wire cables provided in this invention.

[0035] Figure 2 A diagram illustrating the cable calculation model for the parallel wire cable corrosion fatigue life estimation method provided in this embodiment of the invention.

[0036] Figure 3 A schematic diagram of the module principle of the parallel steel wire cable corrosion fatigue life estimation system provided in the embodiment of the present invention.

[0037] Figure 4 A schematic diagram of a terminal device provided in an embodiment of the present invention. Detailed Implementation

[0038] To make the objectives, technical solutions, and effects of this invention clearer and more explicit, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0039] This embodiment provides a method for estimating the corrosion fatigue life of parallel wire cables. The invention first obtains the current year and a preset time-varying corrosion model to determine the corrosion rate of the wires within the cable. Then, it simulates the fatigue life of each wire within the cable based on the wire corrosion fatigue life model and calculates the fatigue damage index of each wire. Finally, when a wire with a fatigue damage index greater than or equal to a first preset value appears in the cable, the wire breakage rate is obtained. The calculation stops when the wire breakage rate reaches a second preset value, and the corrosion fatigue life is obtained. This invention considers time-varying corrosion factors in establishing the wire corrosion fatigue life model; therefore, incorporating time-varying corrosion factors into the life estimation process makes global life estimation easier.

[0040] Exemplary methods

[0041] The corrosion fatigue life estimation method for parallel wire cables in this embodiment can be applied to terminal devices, such as computers, smart TVs, and mobile phones. Specifically, for example... Figure 1 As shown in the figure, the method for estimating the corrosion fatigue life of parallel steel wire cables in this embodiment includes the following steps:

[0042] Step S100: Obtain the current year and the preset time-varying corrosion model to determine the corrosion rate of the steel wires inside the cable.

[0043] Specifically, research has shown that, at a specified stress amplitude, the fatigue life of high-strength steel wire follows a Weibull distribution. In this embodiment, the cable used is a smart cable, and the high-strength steel wires that make up the cable are FRP-OF smart high-strength steel wires. Based on previous experiments and theoretical derivations of the smart high-strength steel wires, a nonlinear damage accumulation model was selected, and the fatigue life distribution expression of the smart high-strength steel wires was obtained as (1):

[0044]

[0045] Where m, b, k are unknown parameters, and ΔS is the fatigue stress amplitude.

[0046] When the stress amplitude is constant, the fatigue life of the corroded steel wire decreases exponentially with the increase of the corrosion rate. Simultaneously, the logarithm of the fatigue life decreases proportionally with the increase of the logarithm of the nominal stress amplitude, and the greater the degree of corrosion, the steeper the curve slope. Therefore, it is assumed that the relationship between the slope of the SN curve of high-strength steel wire and the corrosion rate w is as shown in (2):

[0047]

[0048] Where c and d are the parameters to be estimated in the model.

[0049] Assume that there is an exponential distribution relationship between the parameter K and the corrosion rate w, as shown in (3):

[0050] K = K0 × exp(rw) (3)

[0051] Where K0 and r are the parameters to be estimated.

[0052] Substituting the parameters into formula (2) yields the steel wire corrosion fatigue life model considering average stress, as shown in (4):

[0053]

[0054] By estimating the parameters using experimental data, the parameters to be estimated can be obtained, thus yielding a steel wire corrosion fatigue life model, which prepares for the establishment of a cable model.

[0055] For high-strength steel wire, an exponential model is often used to calculate the uniform corrosion depth of the steel wire under different corrosive environments in the case of rust. The time-varying corrosion model in this embodiment is expressed as shown in equation (5):

[0056] d(t)=C r (t-t0) γ (5)

[0057] Among them, C r γ is the annual corrosion rate, γ is the long-term corrosion constant, and t0 is the corrosion time of the galvanized layer.

[0058] The parameters of the uniform corrosion rate model proposed in this embodiment, and the time-varying corrosion models of high-strength steel wire under three different levels of corrosion environment are shown in Table 1.

[0059]

[0060] Table 1

[0061] Step S200: Simulate the fatigue life of each steel wire in the cable according to the steel wire corrosion fatigue life model, and calculate the fatigue damage index of each steel wire.

[0062] Specifically, in this embodiment, random numbers are randomly generated based on the steel wire corrosion fatigue life model, and the number of random numbers is the same as the number of parallel steel wires in the cable. Then, the fatigue life of each steel wire in the cable is simulated and sorted from smallest to largest. Next, the fatigue damage index of each steel wire is calculated in years.

[0063] In practical applications, the parallel wire cable in this embodiment can be simplified to a parallel system composed of steel wires. As shown in formula (4), under a specified stress amplitude ΔS, the fatigue life N of the steel wire is a random variable. After a steel wire in the cable breaks, it will no longer bear the load, and the total load of the cable will be borne by the other unbroken steel wires, resulting in stress redistribution within the cable. After i steel wires break in the cable, the stress amplitude of the other unbroken steel wires is:

[0064]

[0065] Where m is the total number of parallel wires in the cable; i is the number of broken wires. As can be seen from equation (6), with the increase of the number of fatigue cycles, the number of broken wires in the cable increases, and the fatigue stress amplitude of the unbroken wires continues to increase, which accelerates the rate of wire breakage and the rate of fatigue failure of the cable.

[0066] Assuming that under initial stress amplitude ΔS0 and initial corrosion rate w1, no steel wires in the cable break within the first year, and the fatigue number is N1, the fatigue lives of the m steel wires in the cable, arranged in ascending order, are N1, N2, N3, N4, N5, N6, N7, N8, N95, N96, N97 ... i,1Based on Miner's linear fatigue cumulative damage criterion, the fatigue damage index of each steel wire in the stay cable is:

[0067]

[0068] Among them, M i Miner cumulative fatigue damage index of the i-th wire in the cable-stayed cable.

[0069] Assuming the self-sensing cable has been in service for j years, at which point h steel wires have broken, and since the fatigue life of the steel wires follows the distribution of corrosion equation (4) under different stress amplitudes, average stresses, and corrosion rates, therefore:

[0070] F(N i,j ;ΔS p-h ,w j )=F(N i,1 ;ΔS0,w1) (8)

[0071] Then, the stress amplitude and corrosion rate w of the mh steel wires in the stay cable after stress redistribution. j Under the influence of the action, fatigue life N i,j With N i,1 The relationship can be represented as:

[0072]

[0073] Assuming no wires break during the first J years of service, then after J years of service, the fatigue damage index M of the i-th wire in the cable will be... i,J The cumulative value of the fatigue damage index for each year is shown in equation (10):

[0074]

[0075] Suppose that in year J1, the first wire in the cable breaks. Since the lifespans are ordered by number from smallest to largest, wire number 1 breaks at this time, i.e., M. 1,J If ≥1, then the fatigue life corresponding to the first broken wire is J1-1, and the number of cycles of the cable at this time is:

[0076] n1=N1×(J1-1) (11)

[0077] Before the second wire broke, the fatigue damage index of the wires that had served in the cable for J years was:

[0078]

[0079] Following this logic, the fatigue damage index of the inner wires of the cable after J years of service, before the h-th wire breaks, is:

[0080]

[0081] Therefore, this embodiment can simulate the fatigue life of each steel wire in the cable based on the steel wire corrosion fatigue life model, and calculate the fatigue damage index of each steel wire.

[0082] Step S300: When a wire with a fatigue damage index greater than or equal to the first preset value appears in the cable, the wire breakage rate is obtained, and the calculation is stopped when the wire breakage rate reaches the second preset value, and the corrosion fatigue life is obtained.

[0083] This embodiment is based on the parallel system theory, assuming that failure occurs when the steel wires in the parallel wire cable break, and neglecting the frictional force of the broken steel wires. Then, the fatigue life model of the cable is derived by using the fatigue life of a single high-strength steel wire. The Monte Carlo method is used to simulate the fatigue life of the cable. The specific calculation steps are as follows:

[0084] 1. Define the initial corrosion time t0, initial stress amplitude, number of steel wires in the cable, etc., and set the corrosion rate and number of broken wires to 0;

[0085] 2. Randomly generate the initial lifespan of the inner wires of the cable that conforms to the distribution proposed in the above embodiments, and sort them from smallest to largest.

[0086] 3. Calculate the damage coefficient of all steel wires in the non-corrosion stage according to formula (10).

[0087] 4. After reaching the corrosion stage, the current corrosion rate of the cable is obtained based on the current year and the given corrosion environment. The fatigue damage index of all steel wires in the cable is calculated according to formula (13). The formula for calculating the corrosion rate over time is shown in formula (14).

[0088]

[0089] Where R is the radius of the steel wire.

[0090] 5. When a wire with a fatigue damage index greater than or equal to 1 appears in the cable, calculate the fatigue stress amplitude after stress redistribution according to formula (6), and record the wire breakage rate at the same time.

[0091] 6. When the wire breakage rate exceeds 10%, the fatigue life of the cable is obtained, the cycle ends, and this simulation concludes. Otherwise, proceed to step 4 and repeat the cycle.

[0092] In summary, this embodiment incorporates corrosion factors into the high-strength steel wire life estimation model, thus taking into account the influence of this important factor in the cable life estimation process. Furthermore, this embodiment integrates a time-varying corrosion model into the calculation method for cable corrosion fatigue life, resulting in a better global life estimation of the cable.

[0093] Exemplary System

[0094] Based on the above embodiments, the present invention also provides a system for estimating the corrosion fatigue life of parallel steel wire cables, such as... Figure 3 As shown, the system includes: a corrosion rate determination module 10, a fatigue damage simulation module 20, and a fatigue life determination module 30. Specifically, the corrosion rate determination module 10 is used to obtain the current year and a preset time-varying corrosion model to determine the corrosion rate of the steel wires in the cable. The fatigue damage simulation module 20 is used to simulate the fatigue life of each steel wire in the cable according to the steel wire corrosion fatigue life model and calculate the fatigue damage index of each steel wire. The fatigue life determination module 30 is used to obtain the wire breakage rate when a steel wire with a fatigue damage index greater than or equal to a first preset value appears in the cable, and to stop the calculation when the wire breakage rate reaches a second preset value, and obtain the corrosion fatigue life.

[0095] The working principle of the parallel wire cable corrosion fatigue life estimation system in this embodiment is the same as the execution process of each step in the above method embodiment, and will not be repeated here.

[0096] Based on the above embodiments, the present invention also provides a terminal device, the principle block diagram of which is shown in Figure 4. The terminal device of this embodiment may include one or more processors 100 (… Figure 4 (Only one is shown in the image), a memory 101, and a computer program 102 stored in the memory 101 and executable on one or more processors 100, such as a program for estimating the corrosion fatigue life of parallel wire cables. When one or more processors 100 execute the computer program 102, they can implement the various steps in the method embodiment for estimating the corrosion fatigue life of parallel wire cables. Alternatively, when one or more processors 100 execute the computer program 102, they can implement the functions of various modules / units in the system embodiment for estimating the corrosion fatigue life of parallel wire cables, which is not limited here.

[0097] In one embodiment, the processor 100 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0098] In one embodiment, memory 101 may be an internal storage unit of an electronic device, such as a hard drive or RAM. Memory 101 may also be an external storage device of the electronic device, such as a plug-in hard drive, smart media card (SMC), secure digital (SD) card, flash card, etc. Furthermore, memory 101 may include both internal and external storage units. Memory 101 is used to store computer programs and other programs and data required by the terminal device. Memory 101 can also be used to temporarily store data that has been output or will be output.

[0099] Those skilled in the art will understand that Figure 4 The block diagram shown is merely a partial structural diagram related to the present invention and does not constitute a limitation on the terminal device to which the present invention is applied. The specific terminal device may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0100] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, operating databases, or other media used in the embodiments provided by this invention can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual operating data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.

[0101] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for estimating the corrosion fatigue life of parallel steel wire cables, characterized in that, The method includes: Obtain the current year and the preset time-varying corrosion model to determine the corrosion rate of the steel wires inside the cable; The fatigue life of each wire in the cable was simulated based on the steel wire corrosion fatigue life model, and the fatigue damage index of each wire was calculated. When a wire with a fatigue damage index greater than or equal to the first preset value appears in the cable, the wire breakage rate is obtained, and the calculation is stopped when the wire breakage rate reaches the second preset value, and the corrosion fatigue life is obtained. The time-varying corrosion model is expressed as follows: ， wherein C r is the annual corrosion rate, γ is the long-term corrosion constant, and t0 is the corrosion time of the zinc-plated layer; The formula for calculating the corrosion rate over time is: Where R is the radius of the steel wire, and w is the corrosion rate; The fatigue life of each steel wire in the cable is simulated based on the steel wire corrosion fatigue life model, and the fatigue damage index of each steel wire is calculated. The formula for calculating the fatigue damage index of the i-th steel wire in the cable after J years of service before the h-th steel wire breaks is as follows: ， Where c, d, and r are the parameters to be estimated in the model, m is the total number of steel wires in the original cable, and w is the corrosion rate. S0 is the initial stress amplitude.

2. The method for estimating the corrosion fatigue life of parallel steel wire cables according to claim 1, characterized in that, The simulation of the fatigue life of each steel wire in the cable based on the steel wire corrosion fatigue life model, and the calculation of the fatigue damage index of each steel wire, includes: Random numbers are randomly generated based on the steel wire corrosion fatigue life model, and the number of random numbers is the same as the number of parallel steel wires in the cable. Simulate the fatigue life of each steel wire in the cable and sort them from smallest to largest; The fatigue damage index of each steel wire is calculated on an annual basis.

3. The method for estimating the corrosion fatigue life of parallel steel wire cables according to claim 2, characterized in that, The corrosion fatigue life model of the steel wire is expressed as follows: Where K = K0 × exp(rw), K is a preset parameter, N is fatigue life, w is corrosion rate, and K0, r, c and d are parameters to be estimated in the model.

4. The method for estimating the corrosion fatigue life of parallel steel wire cables according to claim 2, characterized in that, The fatigue damage index is expressed as: , of which M i The Miner cumulative fatigue damage index of the i-th wire in the cable; N1 is the number of fatigue cycles of the wires in the cable that have not broken within the first year, N i,1 The fatigue lives of m steel wires in the cable-stayed cable are arranged in ascending order.

5. The method for estimating the corrosion fatigue life of parallel steel wire cables according to claim 1, characterized in that, When a wire with a fatigue damage index greater than or equal to a first preset value appears in the cable, the wire breakage rate is obtained. When the wire breakage rate reaches a second preset value, the calculation stops, and the corrosion fatigue life is obtained, including: When a wire with a fatigue damage index greater than or equal to the first preset value appears in the cable, calculate the fatigue stress amplitude after stress redistribution and record the wire breakage rate. When the wire breakage rate is greater than the second preset value, the calculation stops and the corrosion fatigue life is obtained; When the wire breakage rate is less than the second preset value, the fatigue damage index of all steel wires in the cable is calculated repeatedly.

6. The method for estimating the corrosion fatigue life of parallel steel wire cables according to claim 5, characterized in that, The first preset value is 1, and the second preset value is 10%.

7. A system for estimating the corrosion fatigue life of parallel steel wire cables, applied to the steps of implementing the method for estimating the corrosion fatigue life of parallel steel wire cables as described in any one of claims 1-6, characterized in that, The system includes: The corrosion rate determination module is used to obtain the current year and the preset time-varying corrosion model to determine the corrosion rate of the steel wires inside the cable; The fatigue damage simulation module is used to simulate the fatigue life of each steel wire in the cable based on the steel wire corrosion fatigue life model, and to calculate the fatigue damage index of each steel wire. The fatigue life determination module is used to obtain the wire breakage rate when there are steel wires in the cable with a fatigue damage index greater than or equal to a first preset value, and to stop the calculation when the wire breakage rate reaches a second preset value, and to obtain the corrosion fatigue life.

8. A terminal device, characterized in that, The terminal device includes a memory, a processor, and a parallel wire cable corrosion fatigue life estimation program stored in the memory and executable on the processor. When the processor executes the parallel wire cable corrosion fatigue life estimation program, it implements the steps of the parallel wire cable corrosion fatigue life estimation method as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a parallel wire cable corrosion fatigue life estimation program, which, when executed by a processor, implements the steps of the parallel wire cable corrosion fatigue life estimation method as described in any one of claims 1-6.

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