Durability prediction method and system for stainless steel stranded wire of main cable of suspension bridge in marine environment

Abstract

The present invention discloses a method and system for predicting the durability of stainless steel strands of a main cable of a suspension bridge in a marine environment. The method comprises: obtaining cable information at various positions on the main cable of the suspension bridge, wherein the cable information comprises: corrosion rate, wave height, wind speed, frequency of wind excitation, frequency of wave excitation, vibration amplitude and bending stiffness; setting a durability prediction model for the main cable of the suspension bridge, and calculating a durability index within a cycle according to the cable information, wherein the durability prediction model for the main cable of the suspension bridge comprises: calculating a stress index caused by external excitation and calculating a total stress index; judging a durability index within a next cycle according to the durability index within the current cycle, and comparing the durability index with a durability threshold, and issuing an alarm message when the durability threshold is exceeded.

Description

Technical Field

[0001] The present invention belongs to the technical field of durability prediction of main cables of suspension bridges, and more specifically, relates to a method and system for predicting the durability of stainless steel strands of main cables of suspension bridges in marine environments. Background Art

[0002] The durability testing technologies for offshore platform structures have been continuously developing. The development of these technologies is mainly to ensure that the structures of offshore platforms can operate safely and reliably in extreme marine environments and meet the requirements of specific design life. The following is an overview of some related technologies:

[0003] Numerical simulation and computational mechanics analysis: Using computer simulation software, engineers can perform complex mechanical analysis of offshore platform structures. This includes techniques such as finite element analysis to assess how the structure will perform under various loads and extreme conditions.

[0004] Sensors and monitoring systems: Sensors installed on offshore platforms are used to monitor structural changes, stress, deformation and other parameters in real time. These sensors can provide critical real-time data to detect potential structural problems in a timely manner.

[0005] Materials Science and Engineering: Advances in materials science are providing offshore platforms with stronger, lighter, and more corrosion-resistant materials to increase the life and durability of the platforms.

[0006] However, there is no technical solution in the prior art that can accurately predict the durability of the main cable of the suspension bridge. Summary of the invention

[0007] In order to solve the above technical problems, the present invention proposes a method for predicting the durability of stainless steel strands of main cables of suspension bridges in marine environments, comprising:

[0008] Acquire cable information at various positions on the main cable of the suspension bridge, wherein the cable information includes: corrosion rate, wave height, wind speed, wind excitation frequency, wave excitation frequency, vibration amplitude and bending stiffness;

[0009] Setting a durability prediction model for the main cable of the suspension bridge, and calculating a durability index within one cycle according to the cable information, wherein the durability prediction model for the main cable of the suspension bridge includes: calculating a stress index caused by external excitation and calculating a total stress index;

[0010] The durability index in the next cycle is determined based on the durability index in the current cycle and compared with the durability threshold. When the durability threshold is exceeded, an alarm message is issued.

[0011] Furthermore, the durability prediction model of the main cable of the suspension bridge includes:

[0012]

[0013] Where D(s) is the durability index of the main cable of the suspension bridge at time s, R(s, x, y) is the corrosion rate at the coordinate (x, y) of the main cable of the suspension bridge at time s, t is the time period, F(s, x, y) is the stress index caused by external excitation at the coordinate (x, y) of the main cable of the suspension bridge at time s, τ is the fatigue coefficient of the material of the main cable of the suspension bridge, σ(s, x, y) is the total stress index at the coordinate (x, y) of the main cable of the suspension bridge at time s, τ f is the fatigue coefficient of the main cable of the suspension bridge under vibration and stress cycle, σ f (S, x, y) is the stress at the coordinate (x, y) of the main cable of the suspension bridge under vibration and stress cycle at time s.

[0014] Furthermore, the stress index F(s, x, y) caused by external excitation at the coordinate (x, y) of the main cable of the suspension bridge at time s includes:

[0015]

[0016] Among them, A is the overall adjustment factor of the stress index, H(x, y) is the wave height at the coordinate (x, y) of the main cable of the suspension bridge, V(x, y) is the wind speed at the coordinate (x, y) of the main cable of the suspension bridge, B is the adjustment factor of wind excitation, k1 is the weight of wind excitation, f is the frequency of wind excitation, C is the adjustment factor of wave excitation, k2 is the weight of wave excitation, ω is the frequency of wave excitation, D is the weight of the ratio of wave height to wind speed, E is the time weight, and G is the time adjustment factor.

[0017] Furthermore, the total stress index σ(s, x, y) at the coordinate (x, y) of the main cable of the suspension bridge at time s includes:

[0018]

[0019] Among them, D′ is the adjustment factor of the total stress index, G′ is the vibration amplitude of the main cable of the suspension bridge, and H′ is the bending stiffness of the main cable of the suspension bridge.

[0020] Furthermore, all weights and all adjustment factors are fitted by gradient descent method or ant colony algorithm.

[0021] The present invention also proposes a durability prediction system for stainless steel strands of main cables of marine environment suspension bridges, comprising:

[0022] An information acquisition module is used to acquire cable information at various positions on the main cable of the suspension bridge, wherein the cable information includes: corrosion rate, wave height, wind speed, wind excitation frequency, wave excitation frequency, vibration amplitude and bending stiffness;

[0023] A model module is set to set a durability prediction model for the main cable of the suspension bridge, and calculate a durability index within one cycle according to the cable information, wherein the durability prediction model for the main cable of the suspension bridge includes: calculating a stress index caused by external excitation and calculating a total stress index;

[0024] The alarm module is used to determine the durability index in the next cycle according to the durability index in the current cycle, and compare it with the durability threshold. When the durability threshold is exceeded, an alarm message is issued.

[0025] Furthermore, the durability prediction model of the main cable of the suspension bridge includes:

[0026]

[0027] Where D(s) is the durability index of the main cable of the suspension bridge at time s, R(s, x, y) is the corrosion rate at the coordinate (x, y) of the main cable of the suspension bridge at time s, t is the time period, F(s, x, y) is the stress index caused by external excitation at the coordinate (x, y) of the main cable of the suspension bridge at time s, τ is the fatigue coefficient of the material of the main cable of the suspension bridge, σ(s, x, y) is the total stress index at the coordinate (x, y) of the main cable of the suspension bridge at time s, r f is the fatigue coefficient of the main cable of the suspension bridge under vibration and stress cycle, σ f (s, x, y) is the stress at the coordinate (x, y) of the main cable of the suspension bridge under vibration and stress cycle at time s.

[0028] Furthermore, the stress index F(s, x, y) caused by external excitation at the coordinate (x, y) of the main cable of the suspension bridge at time s includes:

[0029]

[0030] Among them, A is the overall adjustment factor of the stress index, H(x, y) is the wave height at the coordinate (x, y) of the main cable of the suspension bridge, V(x, y) is the wind speed at the coordinate (x, y) of the main cable of the suspension bridge, B is the adjustment factor of wind excitation, k1 is the weight of wind excitation, f is the frequency of wind excitation, C is the adjustment factor of wave excitation, k2 is the weight of wave excitation, ω is the frequency of wave excitation, D is the weight of the ratio of wave height to wind speed, E is the time weight, and G is the time adjustment factor.

[0031] Furthermore, the total stress index σ(s, x, y) at the coordinate (x, y) of the main cable of the suspension bridge at time s includes:

[0032]

[0033] Among them, D′ is the adjustment factor of the total stress index, G′ is the vibration amplitude of the main cable of the suspension bridge, and H′ is the bending stiffness of the main cable of the suspension bridge.

[0034] Furthermore, all weights and all adjustment factors are fitted by gradient descent method or ant colony algorithm.

[0035] Compared with the prior art, the above technical solution conceived by the present invention has the following beneficial effects:

[0036] The present invention obtains the cable information at each position on the main cable of the suspension bridge, wherein the cable information includes: corrosion rate, wave height, wind speed, frequency of wind excitation, frequency of wave excitation, vibration amplitude and bending stiffness; sets a durability prediction model for the main cable of the suspension bridge, and calculates the durability index within a cycle based on the cable information, wherein the durability prediction model for the main cable of the suspension bridge includes: calculating the stress index caused by external excitation and calculating the total stress index; judging the durability index within the next cycle based on the durability index within the current cycle, and comparing it with the durability threshold, and issuing an alarm message when the durability threshold is exceeded. Through the above technical scheme, the present invention can accurately predict the durability of the main cable of the suspension bridge, thereby issuing an alarm message to remind maintenance personnel to perform repairs or replacements. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 is a flow chart of the method of embodiment 1 of the present invention;

[0038] Figure 2 It is a system structure diagram of embodiment 2 of the present invention. DETAILED DESCRIPTION

[0039] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0040] The method provided by the present invention can be implemented in the following terminal environment, and the terminal may include one or more of the following components: a processor, a storage medium, and a display screen. The storage medium stores at least one instruction, and the instruction is loaded and executed by the processor to implement the method described in the following embodiment.

[0041] The processor may include one or more processing cores. The processor uses various interfaces and lines to connect various parts in the entire terminal, and executes various functions of the terminal and processes data by running or executing instructions, programs, code sets or instruction sets stored in the storage medium, and calling data stored in the storage medium.

[0042] The storage medium may include a random access memory (RAM) or a read-only memory (ROM). The storage medium may be used to store instructions, programs, codes, code sets or instructions.

[0043] The display screen is used to display the interactive interface of each application.

[0044] All subscripts in the formulas of the present invention are only used to distinguish parameters and have no actual meaning.

[0045] In addition, those skilled in the art can understand that the structure of the above terminal does not constitute a limitation on the terminal, and the terminal may include more or fewer components, or combine certain components, or arrange the components differently. For example, the terminal also includes components such as a radio frequency circuit, an input unit, a sensor, an audio circuit, and a power supply, which will not be described in detail here.

[0046] Example 1

[0047] like Figure 1 As shown, an embodiment of the present invention provides a method for predicting the durability of stainless steel strands of a main cable of a suspension bridge in a marine environment, comprising:

[0048] Step 101, obtaining cable information at various positions on the main cable of the suspension bridge, wherein the cable information includes: corrosion rate, wave height, wind speed, wind excitation frequency, wave excitation frequency, vibration amplitude and bending stiffness;

[0049] Step 102, setting a durability prediction model for the main cable of the suspension bridge, and calculating a durability index within one cycle according to the cable information, wherein the durability prediction model for the main cable of the suspension bridge includes: calculating a stress index caused by external excitation and calculating a total stress index;

[0050] Specifically, the durability prediction model of the main cable of the suspension bridge includes:

[0051]

[0052] Where D(s) is the durability index of the main cable of the suspension bridge at time s, R(s, x, y) is the corrosion rate at the coordinate (x, y) of the main cable of the suspension bridge at time s, t is the time period, F(s, x, y) is the stress index caused by external excitation at the coordinate (x, y) of the main cable of the suspension bridge at time s, τ is the fatigue coefficient of the material of the main cable of the suspension bridge, σ(s, x, y) is the total stress index at the coordinate (x, y) of the main cable of the suspension bridge at time s, τ f is the fatigue coefficient of the main cable of the suspension bridge under vibration and stress cycle, σ f(s, x, y) is the stress at the coordinate (x, y) of the main cable of the suspension bridge under vibration and stress cycle at time s.

[0053] Specifically, the stress index F(s, x, y) caused by external excitation at the coordinate (x, y) of the main cable of the suspension bridge at time s includes:

[0054]

[0055] Among them, A is the overall adjustment factor of the stress index, H(x, y) is the wave height at the coordinate (x, y) of the main cable of the suspension bridge, V(x, y) is the wind speed at the coordinate (x, y) of the main cable of the suspension bridge, B is the adjustment factor of wind excitation, k1 is the weight of wind excitation, f is the frequency of wind excitation, C is the adjustment factor of wave excitation, k2 is the weight of wave excitation, ω is the frequency of wave excitation, D is the weight of the ratio of wave height to wind speed, E is the time weight, and G is the time adjustment factor.

[0056] Specifically, the total stress index σ(s, x, y) at the coordinate (x, y) of the main cable of the suspension bridge at time s includes:

[0057]

[0058] Among them, D′ is the adjustment factor of the total stress index, G′ is the vibration amplitude of the main cable of the suspension bridge, and H′ is the bending stiffness of the main cable of the suspension bridge.

[0059] Specifically, all weights and all adjustment factors are fitted by gradient descent method or ant colony algorithm.

[0060] Step 103, judging the durability index in the next cycle according to the durability index in the current cycle, and comparing it with the durability threshold, and issuing an alarm message when the durability threshold is exceeded.

[0061] Example 2

[0062] like Figure 2 As shown, the embodiment of the present invention also provides a durability prediction system for stainless steel strands of main cables of a marine environment suspension bridge, including:

[0063] An information acquisition module is used to acquire cable information at various positions on the main cable of the suspension bridge, wherein the cable information includes: corrosion rate, wave height, wind speed, wind excitation frequency, wave excitation frequency, vibration amplitude and bending stiffness;

[0064] A model module is set to set a durability prediction model for the main cable of the suspension bridge, and calculate a durability index within one cycle according to the cable information, wherein the durability prediction model for the main cable of the suspension bridge includes: calculating a stress index caused by external excitation and calculating a total stress index;

[0065] Specifically, the durability prediction model of the main cable of the suspension bridge includes:

[0066]

[0067] Where D(s) is the durability index of the main cable of the suspension bridge at time s, R(s, x, y) is the corrosion rate at the coordinate (x, y) of the main cable of the suspension bridge at time s, t is the time period, F(s, x, y) is the stress index caused by external excitation at the coordinate (x, y) of the main cable of the suspension bridge at time s, τ is the fatigue coefficient of the material of the main cable of the suspension bridge, σ(s, x, y) is the total stress index at the coordinate (x, y) of the main cable of the suspension bridge at time s, τ f is the fatigue coefficient of the main cable of the suspension bridge under vibration and stress cycle, σ f (s, x, y) is the stress at the coordinate (x, y) of the main cable of the suspension bridge under vibration and stress cycle at time s.

[0068] Specifically, the stress index F(s, x, y) caused by external excitation at the coordinate (x, y) of the main cable of the suspension bridge at time s includes:

[0069]

[0070] Among them, A is the overall adjustment factor of the stress index, H(x, y) is the wave height at the coordinate (x, y) of the main cable of the suspension bridge, V(x, y) is the wind speed at the coordinate (x, y) of the main cable of the suspension bridge, B is the adjustment factor of wind excitation, k1 is the weight of wind excitation, f is the frequency of wind excitation, C is the adjustment factor of wave excitation, k2 is the weight of wave excitation, ω is the frequency of wave excitation, D is the weight of the ratio of wave height to wind speed, E is the time weight, and G is the time adjustment factor.

[0071] Specifically, the total stress index σ(s, x, y) at the coordinate (x, y) of the main cable of the suspension bridge at time s includes:

[0072]

[0073] Among them, D′ is the adjustment factor of the total stress index, G′ is the vibration amplitude of the main cable of the suspension bridge, and H′ is the bending stiffness of the main cable of the suspension bridge.

[0074] Specifically, all weights and all adjustment factors are fitted by gradient descent method or ant colony algorithm.

[0075] The alarm module is used to determine the durability index in the next cycle according to the durability index in the current cycle, and compare it with the durability threshold. When the durability threshold is exceeded, an alarm message is issued.

[0076] Example 3

[0077] The embodiment of the present invention further proposes a storage medium storing a plurality of instructions, wherein the instructions are used to implement the method for predicting the durability of stainless steel strands of the main cable of a suspension bridge in a marine environment.

[0078] Optionally, in this embodiment, the above storage medium may be located in any computer terminal in a computer terminal group in a computer network, or in any mobile terminal in a mobile terminal group.

[0079] Optionally, in this embodiment, the storage medium is configured to store program codes for executing the following steps: Step 101, obtaining cable information at various positions on the main cable of the suspension bridge, wherein the cable information includes: corrosion rate, wave height, wind speed, wind-excited frequency, wave-excited frequency, vibration amplitude, and bending stiffness;

[0080] Step 102, setting a durability prediction model for the main cable of the suspension bridge, and calculating a durability index within one cycle according to the cable information, wherein the durability prediction model for the main cable of the suspension bridge includes: calculating a stress index caused by external excitation and calculating a total stress index;

[0081] Specifically, the durability prediction model of the main cable of the suspension bridge includes:

[0082]

[0083] Where D(s) is the durability index of the main cable of the suspension bridge at time s, R(s, x, y) is the corrosion rate at the coordinate (x, y) of the main cable of the suspension bridge at time s, t is the time period, F(s, x, y) is the stress index caused by external excitation at the coordinate (x, y) of the main cable of the suspension bridge at time s, τ is the fatigue coefficient of the material of the main cable of the suspension bridge, σ(s, x, y) is the total stress index at the coordinate (x, y) of the main cable of the suspension bridge at time s, τ f is the fatigue coefficient of the main cable of the suspension bridge under vibration and stress cycle, σ f (s, x, y) is the stress at the coordinate (x, y) of the main cable of the suspension bridge under vibration and stress cycle at time s.

[0084] Specifically, the stress index F(s, x, y) caused by external excitation at the coordinate (x, y) of the main cable of the suspension bridge at time s includes:

[0085]

[0086] Among them, A is the overall adjustment factor of the stress index, H(x, y) is the wave height at the coordinate (x, y) of the main cable of the suspension bridge, V(x, y) is the wind speed at the coordinate (x, y) of the main cable of the suspension bridge, B is the adjustment factor of wind excitation, k1 is the weight of wind excitation, f is the frequency of wind excitation, C is the adjustment factor of wave excitation, k2 is the weight of wave excitation, ω is the frequency of wave excitation, D is the weight of the ratio of wave height to wind speed, E is the time weight, and G is the time adjustment factor.

[0087] Specifically, the total stress index σ(s, x, y) at the coordinate (x, y) of the main cable of the suspension bridge at time s includes:

[0088]

[0089] Among them, D′ is the adjustment factor of the total stress index, G′ is the vibration amplitude of the main cable of the suspension bridge, and H′ is the bending stiffness of the main cable of the suspension bridge.

[0090] Specifically, all weights and all adjustment factors are fitted by gradient descent method or ant colony algorithm.

[0091] Step 103, judging the durability index in the next cycle according to the durability index in the current cycle, and comparing it with the durability threshold, and issuing an alarm message when the durability threshold is exceeded.

[0092] Example 4

[0093] An embodiment of the present invention also proposes an electronic device, including a processor and a storage medium connected to the processor, wherein the storage medium stores multiple instructions, and the instructions can be loaded and executed by the processor to enable the processor to execute a method for predicting the durability of stainless steel strands of the main cable of a suspension bridge in a marine environment.

[0094] Specifically, the electronic device of this embodiment may be a computer terminal, and the computer terminal may include: one or more processors, and a storage medium.

[0095] Among them, the storage medium can be used to store software programs and modules, such as a method for predicting the durability of stainless steel strands of the main cable of a suspension bridge in a marine environment in an embodiment of the present invention, and the corresponding program instructions / modules. The processor executes various functional applications and data processing by running the software programs and modules stored in the storage medium, that is, realizing the above-mentioned method for predicting the durability of stainless steel strands of the main cable of a suspension bridge in a marine environment. The storage medium may include high-speed random storage media, and may also include non-volatile storage media, such as one or more magnetic storage systems, flash memory, or other non-volatile solid-state storage media. In some instances, the storage medium may further include storage media remotely arranged relative to the processor, and these remote storage media may be connected to the terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0096] The processor may call the information and application program stored in the storage medium through the transmission system to execute the steps: Step 101, obtaining the cable information at each position on the main cable of the suspension bridge, wherein the cable information includes: corrosion rate, wave height, wind speed, wind excitation frequency, wave excitation frequency, vibration amplitude and bending stiffness;

[0097] Step 102, setting a durability prediction model for the main cable of the suspension bridge, and calculating a durability index within one cycle according to the cable information, wherein the durability prediction model for the main cable of the suspension bridge includes: calculating a stress index caused by external excitation and calculating a total stress index;

[0098] Specifically, the durability prediction model of the main cable of the suspension bridge includes:

[0099]

[0100] Where D(s) is the durability index of the main cable of the suspension bridge at time s, R(s, x, y) is the corrosion rate at the coordinate (x, y) of the main cable of the suspension bridge at time s, t is the time period, F(s, x, y) is the stress index caused by external excitation at the coordinate (x, y) of the main cable of the suspension bridge at time s, τ is the fatigue coefficient of the material of the main cable of the suspension bridge, σ(s, x, y) is the total stress index at the coordinate (x, y) of the main cable of the suspension bridge at time s, τ f is the fatigue coefficient of the main cable of the suspension bridge under vibration and stress cycle, σ f (s, x, y) is the stress at the coordinate (x, y) of the main cable of the suspension bridge under vibration and stress cycle at time s.

[0101] Specifically, the stress index F(s, x, y) caused by external excitation at the coordinate (x, y) of the main cable of the suspension bridge at time s includes:

[0102]

[0103] Among them, A is the overall adjustment factor of the stress index, H(x, y) is the wave height at the coordinate (x, y) of the main cable of the suspension bridge, V(x, y) is the wind speed at the coordinate (x, y) of the main cable of the suspension bridge, B is the adjustment factor of wind excitation, k1 is the weight of wind excitation, f is the frequency of wind excitation, C is the adjustment factor of wave excitation, k2 is the weight of wave excitation, ω is the frequency of wave excitation, D is the weight of the ratio of wave height to wind speed, E is the time weight, and G is the time adjustment factor.

[0104] Specifically, the total stress index σ(s, x, y) at the coordinate (x, y) of the main cable of the suspension bridge at time s includes:

[0105]

[0106] Among them, D′ is the adjustment factor of the total stress index, G′ is the vibration amplitude of the main cable of the suspension bridge, and H′ is the bending stiffness of the main cable of the suspension bridge.

[0107] Specifically, all weights and all adjustment factors are fitted by gradient descent method or ant colony algorithm.

[0108] Step 103, judging the durability index in the next cycle according to the durability index in the current cycle, and comparing it with the durability threshold, and issuing an alarm message when the durability threshold is exceeded.

[0109] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0110] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0111] In the several embodiments provided by the present invention, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the system embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0112] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0113] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0114] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only storage medium (ROM, Read-Only Memory), random access storage medium (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0115] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. A method for predicting the durability of stainless steel strands of main cables of suspension bridges in marine environments, characterized in that: include: Acquire cable information at various positions on the main cable of the suspension bridge, wherein the cable information includes: corrosion rate, wave height, wind speed, wind excitation frequency, wave excitation frequency, vibration amplitude and bending stiffness; Setting a durability prediction model for the main cable of the suspension bridge, and calculating a durability index within one cycle according to the cable information, wherein the durability prediction model for the main cable of the suspension bridge includes: calculating a stress index caused by external excitation and calculating a total stress index; The durability prediction model of the main cable of the suspension bridge includes: Where D(s) is the durability index of the main cable of the suspension bridge at time s, R(s, x, y) is the corrosion rate at the coordinate (x, y) of the main cable of the suspension bridge at time s, t is the time period, F(s, x, y) is the stress index caused by external excitation at the coordinate (x, y) of the main cable of the suspension bridge at time s, τ is the fatigue coefficient of the material of the main cable of the suspension bridge, σ(s, x, y) is the total stress index at the coordinate (x, y) of the main cable of the suspension bridge at time s, τ f is the fatigue coefficient of the main cable of the suspension bridge under vibration and stress cycle, σ f (s, x, y) is the stress at the coordinate (x, y) of the main cable of the suspension bridge under vibration and stress cycle at time s; The stress index F(s, x, y) caused by external excitation at the coordinates (x, y) of the main cable of the suspension bridge at time s includes: Wherein, A is the overall adjustment factor of stress index, H(x, y) is the wave height at the coordinate (x, y) of the main cable of suspension bridge, V(x, y) is the wind speed at the coordinate (x, y) of the main cable of suspension bridge, B is the adjustment factor of wind excitation, k1 is the weight of wind excitation, f is the frequency of wind excitation, C is the adjustment factor of wave excitation, k2 is the weight of wave excitation, ω is the frequency of wave excitation, D is the weight of the ratio of wave height to wind speed, E is the time weight, and G is the time adjustment factor; The total stress index σ(s, x, y) at the coordinate (x, y) of the main cable of the suspension bridge at time s includes: Among them, D′ is the adjustment factor of the total stress index, G′ is the vibration amplitude of the main cable of the suspension bridge, and H′ is the bending stiffness of the main cable of the suspension bridge; Fit all weights and all adjustment factors using gradient descent or ant colony algorithm; The durability index in the next cycle is determined based on the durability index in the current cycle and compared with the durability threshold. When the durability threshold is exceeded, an alarm message is issued.

2. A durability prediction system for stainless steel strands of main cables of marine environment suspension bridges, characterized in that: include: An information acquisition module is used to acquire cable information at various positions on the main cable of the suspension bridge, wherein the cable information includes: corrosion rate, wave height, wind speed, wind excitation frequency, wave excitation frequency, vibration amplitude and bending stiffness; Setting a model module, used for setting a durability prediction model of the main cable of the suspension bridge, and calculating a durability index within one cycle according to the cable information, wherein the durability prediction model of the main cable of the suspension bridge includes: calculating a stress index caused by external excitation and calculating a total stress index; The durability prediction model of the main cable of the suspension bridge includes: Where D(s) is the durability index of the main cable of the suspension bridge at time s, R(s, x, y) is the corrosion rate at the coordinate (x, y) of the main cable of the suspension bridge at time s, t is the time period, F(s, x, y) is the stress index caused by external excitation at the coordinate (x, y) of the main cable of the suspension bridge at time s, τ is the fatigue coefficient of the material of the main cable of the suspension bridge, σ(s, x, y) is the total stress index at the coordinate (x, y) of the main cable of the suspension bridge at time s, τ f is the fatigue coefficient of the main cable of the suspension bridge under vibration and stress cycle, σ f (s, x, y) is the stress at the coordinate (x, y) of the main cable of the suspension bridge under vibration and stress cycle at time s; The stress index F(s, x, y) caused by external excitation at the coordinates (x, y) of the main cable of the suspension bridge at time s includes: Wherein, A is the overall adjustment factor of stress index, H(x, y) is the wave height at the coordinate (x, y) of the main cable of suspension bridge, V(x, y) is the wind speed at the coordinate (x, y) of the main cable of suspension bridge, B is the adjustment factor of wind excitation, k1 is the weight of wind excitation, f is the frequency of wind excitation, C is the adjustment factor of wave excitation, k2 is the weight of wave excitation, ω is the frequency of wave excitation, D is the weight of the ratio of wave height to wind speed, E is the time weight, and G is the time adjustment factor; The total stress index σ(s, x, y) at the coordinate (x, y) of the main cable of the suspension bridge at time s includes: Among them, D′ is the adjustment factor of the total stress index, G′ is the vibration amplitude of the main cable of the suspension bridge, and H′ is the bending stiffness of the main cable of the suspension bridge; Fit all weights and all adjustment factors using gradient descent or ant colony algorithm; The alarm module is used to determine the durability index in the next cycle according to the durability index in the current cycle, and compare it with the durability threshold. When the durability threshold is exceeded, an alarm message is issued.

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