Method for analyzing time-varying reliability of shipborne sea sweeping lamp structure

Abstract

The invention discloses a time-varying reliability analysis method for a shipborne sea sweeping lamp structure, and the method comprises the following steps: building sea wave models under different sea condition levels according to the wave height and frequency of sea waves under various levels of sea conditions; according to the parameters of the ship body, the navigation parameters and the sea wave model, establishing a model of the swing load borne by the sea-sweeping lamp structure; establishing a degradation model of the structural strength of the sea-sweeping lamp; establishing a transient response joint simulation model of the sea-sweeping lamp structure under the swing load; establishing a limit state function of the sea-sweeping lamp servo structure, and quantizing uncertainty in input variables; performing test design on each input variable, and performing random sampling to obtain an inner-layer agent model sample point set; according to the inner-layer agent model sample point set and the Ansys simulation analysis result, an inner-layer agent model of the sea sweeping lamp structure is established; performing test design on each input variable of the outer-layer agent model, and performing random sampling to obtain an outer-layer agent model sample point set; according to the outer-layer agent model sample point set and the inner-layer agent model response result, an outer-layer agent model of the sea lamp sweeping structure is established; performing test design on each input variable of the outer-layer agent model according to a quantification result, performing random sampling, calculating a response result of the outer-layer agent model, and obtaining a time-varying reliability analysis sample point set of the sea-sweeping lamp structure; and calculating the failure probability and reliability according to the number of failure samples of the time-varying reliability analysis sample point set of the sea sweeping lamp structure.

Description

Technical Field

[0001] The invention relates to the technical field of ship structures, and in particular to a time-varying reliability analysis method of a ship-borne sea sweeping light structure under a swing load. Background Art

[0002] The present invention relates to the field of reliability analysis of marine engineering and ship equipment, and specifically to a time-varying reliability analysis method of a ship-borne sea-sweeping light structure under a swinging load. A sea-sweeping light is a ship-borne device, generally installed on the top of a bridge, the side of a ship, etc., and fixed to the hull. It is mainly used to illuminate the water surface when sailing at sea, helping ships to detect waterways, buoys, obstacles, etc. or conduct surface search operations under conditions of poor visibility. It is one of the important equipment on ships and plays an important role in civilian ships, naval vessels and port operations. In order to expand the scope of illumination, sea-sweeping lights are equipped with an angle-adjustable device, allowing them to adjust the angle in the horizontal and vertical directions. However, in harsh marine environments, the hull will undergo violent swinging motions, making the sea-sweeping light structure fixed to the hull easily damaged, thereby causing immeasurable impact on the navigation and operation of the ship.

[0003] The impact of waves will cause the structure of the ship-borne sea sweeping lights to sway, but the wave height, frequency and other parameters of the waves are affected by many factors such as sea breeze and hull geometry, making it difficult to quantify the impact of waves on ship-borne equipment. In addition, the finite element method is required to calculate the stress of the sea sweeping light structure, which takes a long time to calculate. The method proposed in this invention focuses on combining random wave models, structural mechanics and reliability engineering to efficiently realize the time-varying reliability analysis of the ship-borne sea sweeping light structure, ensuring its stability and durability in harsh environments for a long time. Summary of the invention

[0004] The purpose of the present invention is to provide a time-varying reliability analysis method for a ship-borne sea-sweeping light structure under a swing load, which can calculate the time-varying reliability of the sea-sweeping light structure when it is subjected to a swing load.

[0005] The object of the present invention is achieved through the following technical solution: A time-varying reliability analysis method for a sea sweeping light structure under a swing load comprises the following steps:

[0006] 1. A time-varying reliability analysis method for a shipborne sea sweeping light structure, comprising the following steps:

[0007] S1: Establish wave models under different sea conditions according to the wave height and frequency under different sea conditions;

[0008] S2: Establish a model of the swing load on the sea sweeping light structure based on the ship's parameters, navigation parameters and wave model;

[0009] S3: Establish a degradation model for the structural strength of the sea sweeper;

[0010] S4: Establish a joint simulation model of the transient response of the sea sweeping light structure under swing load;

[0011] S5: Establish the limit state function of the sea sweeping light servo structure and quantify the uncertainty in the input variables;

[0012] S6: According to the quantification results, perform an experimental design on each input variable to perform random sampling to obtain a sample point set of the inner proxy model;

[0013] S7: establishing an inner layer proxy model of the sea sweeping lamp structure according to the inner layer proxy model sample point set and Ansys simulation analysis results;

[0014] S8: According to the quantification results, an experimental design is performed on each input variable of the outer agent model to perform random sampling to obtain a sample point set of the outer agent model;

[0015] S9: establishing an outer proxy model of the sea sweeping lamp structure according to the outer proxy model sample point set and the inner proxy model response result;

[0016] S10: Performing random sampling on each input variable of the outer proxy model according to the quantification results, calculating the response results of the outer proxy model, and obtaining a sample point set for time-varying reliability analysis of the sea sweeping lamp structure;

[0017] S11: Calculate the failure probability and reliability according to the number of failure samples in the time-varying reliability analysis sample point set of the sea-sweeping lamp structure.

[0018] The ocean wave model is established by the ITTC single parameter spectrum and the long crest wave random ocean wave model, and the step S1 comprises:

[0019] S101: Establish the relationship between wave height and frequency based on the ITTC single parameter spectrum:

[0020]

[0021] S102: Calculate the probability density function of the wave frequency under each level of sea condition according to the wave height range under each level of sea condition.

[0022] S103: According to the long-peaked random wave model, multiple sine waves are superimposed to obtain the wave waveform:

[0023]

[0024] S104: The waves encountered by the ship are orthogonally decomposed into following waves and transverse waves. The waveform of the following waves is:

[0025]

[0026] The waveform of a beam wave is:

[0027]

[0028] The swing load model of the sea sweeping light is calculated by the hull parameters and the navigation parameters, and the step S2 comprises:

[0029] S201; Considering the influence of ship speed and wave angle, the encounter frequency of the ship is calculated according to the frequency of the encountered waves:

[0030]

[0031] S202: Calculate the sway angle of the hull according to the hull parameters:

[0032]

[0033] S203: The sway angle of the hull can be expressed as:

[0034]

[0035] S204: Thus, the hull rolling angle curve is obtained:

[0036] Roll curve:

[0037]

[0038] Pitch angle curve:

[0039]

[0040] In step S3, the material strength degradation model is constructed by an exponential model, which is expressed as σ(t)=X σ ·exp(-k σ X y ), where X y is the service life of the structure, σ(t) is the residual yield strength of the material at time t, X σ is the initial value of the material yield strength, k σ is a constant related to degradation performance.

[0041] The ship-borne sea sweeping light structure simulation model is established by using Ansys software, and the step S4 comprises:

[0042] S401: Use Ansys software to build a 3D model of the ship-borne sea sweeping light structure and the hull replacement structure.

[0043] According to the three-dimensional model, as well as the material properties, boundary conditions, analysis steps and mesh division of the sea-sweeping lamp structure, a simulation model of the sea-sweeping lamp structure is obtained.

[0044] S402: Establish a joint parametric simulation model of Matlab and Ansys software, complete the generation of various input variables and swing loads of the parametric simulation model in Matlab software, store various parameterization results in a command stream file, use Ansys software to read the command stream file and the sea sweeping lamp structure simulation model and perform simulation analysis.

[0045] The step S5 comprises:

[0046] S501: The limit state function of the sea sweeping light servo structure is:

[0047] G=g(X,Y(t),t)=σ y (X σ ,X y )-S max (X t ,X L ,Y(t),t)

[0048] Where g(X,Y(t),t) represents the limit state function of the structure, σ y (X σ ,X y ) represents the ultimate strength of the structure, S max represents the stress of the sea sweeping lamp structure obtained by Ansys software simulation, X σ Represents the initial strength of the structure, X y Indicates the time the sea sweeping light structure has been used, X t Represents the size parameter of the structure, X L represents the installation position of the sea-sweeping light structure in the bow and stern directions, Y(t) represents the swing load on the sea-sweeping light structure, and t represents the time parameter.

[0049] S502: The input uncertainty variables of the sea-sweeping light structure include: geometric dimensions of the sea-sweeping light structure, material properties, swing loads, and navigation parameters. Random variables and random processes are used to quantify the input uncertainty of the sea-sweeping light structure to obtain the quantified results.

[0050] The experimental design and random sampling are performed using the Latin hypercube method, and the step S6 includes:

[0051] S601: For a time parameter t in the time interval [0, t e ] is discretized to obtain N t1 discrete time points such that:

[0052]

[0053] S602: Use the Latin hypercube method to sample the uncertainty quantification variables of the inner proxy model input of the sweeping light structure, and obtain the N s1 Sample pool

[0054] S603: Y in the sample pool (k) (t (j) ) is converted to To express, construct a sample matrix based on the sample points in the sample pool Among them, the sample matrix The sample of the jth row in the kth layer is

[0055] The constructed inner layer proxy model is established by the Kriging model, and the step S7 comprises:

[0056] S701: Calculate the sample matrix according to the Kriging model The predicted mean and predicted standard deviation of each sample point in the prediction value are:

[0057]

[0058] The variance is:

[0059]

[0060] S702: Use the U learning function to determine whether the inner proxy model needs to add sample points, and calculate the U learning function value at each sample point:

[0061]

[0062] S703: Optionally, the added sample points are:

[0063] x new =argminU(x)

[0064] The experimental design and random sampling are performed using the Latin hypercube method, and the step S8 includes:

[0065] S801: For the time parameter t in the time interval [0,t e ] is discretized to obtain N t2 discrete time points such that:

[0066]

[0067] S802: Use the Latin hypercube method to sample the uncertainty quantification variables of the outer proxy model input of the sweeping light structure, including N s2 Sample pool

[0068] S803: Construct a sample matrix based on the sample points in the sample pool Among them, the sample matrix The sample of the kth and jth rows is

[0069] The constructed outer layer proxy model is established by the Kriging model, and the step S9 includes:

[0070] S901: Calculate the sample matrix using the Kriging model The maximum stress of the sea sweeping light structure within the time range at each sample point is predicted to be:

[0071]

[0072] The variance is:

[0073]

[0074] The step S10 comprises:

[0075] S1001: Use the Latin hypercube method to sample the uncertainty quantification variables and time of the limit state function of the sweeping light structure, and obtain the N s3 Sample pool of samples:

[0076]

[0077] S1002: Construct a sample matrix based on the sample points in the sample pool Among them, the sample matrix The sample of row i is:

[0078]

[0079] The step S11 comprises:

[0080] S1101: Calculate sample matrix Estimated value of the limit state function response for all sample points in :

[0081]

[0082] S1102: Calculate the time interval [0,t e ]The time-varying failure probability of the internal sea sweeping light structure is:

[0083]

[0084] S1103: Calculate the time interval [0,t e ]The time-varying reliability of the internal sea sweeping light structure is:

[0085]

[0086] The present invention has the following beneficial effects:

[0087] The present invention proposes a time-varying reliability analysis method for the structure of a sea-sweeping light, which can quantify the swaying loads generated by waves under different levels of sea conditions. A time-varying reliability analysis model for the structure of a sea-sweeping light is established based on the Kriging proxy model. The method can calculate the time-varying reliability of the structure of a ship-borne sea-sweeping light when there are uncertainties in wave parameters, structural parameters, navigation parameters and degradation parameters, thus providing strong support for safety management and maintenance decisions of marine operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0088] Figure 1 It is a schematic diagram of the flow of time-varying reliability analysis of the sea-sweeping light structure under the swing load of the present invention;

[0089] Figure 2 The wave model diagram established for this embodiment;

[0090] Figure 3 Figure 2 shows the swing load model established for this embodiment;

[0091] Figure 4 A three-dimensional model of the sea-sweeping lamp structure used in this embodiment;

[0092] Figure 5 This is the transient response analysis result of the sea-sweeping lamp structure using Ansys software in this embodiment;

[0093] Figure 6 Schematic diagram of the thickness of the left plate shaft support surface of this embodiment;

[0094] Figure 7 This is the installation position of the sea-sweeping light structure of this embodiment;

[0095] Figure 8 It is the time-varying reliability of the sea-sweeping light structure under sea conditions of level 1 to 8 calculated in this embodiment. DETAILED DESCRIPTION

[0096] The principles and features of the present invention are described below in conjunction with the accompanying drawings. The examples given are only used to explain the present invention and are not used to limit the scope of the present invention.

[0097] Example

[0098] The present invention provides a time-varying reliability analysis method for a sea sweeping light structure under a swing load, such as Figure 1 As shown, the following steps are included:

[0099] S1: Establish wave models under different sea conditions according to the wave height and frequency under different sea conditions;

[0100] The ocean wave model is established by the ITTC single parameter spectrum and the long crest wave random ocean wave model, and the step S1 comprises:

[0101] S101: Establishing the relationship between wave height and frequency based on ITTC single parameter spectrum

[0102]

[0103] S102: According to the wave height ranges of the waves under the various sea conditions, the probability density function of the wave frequency under the various sea conditions is calculated. The wave height ranges of the waves under the various sea conditions are shown in Table 1.

[0104] Table 1 Wave height ranges under different sea conditions

[0105] Sea state level wave height 1 [0m,0.3m] 2 [0.3m,0.8m] 3 [0.8m,1.5m] 4 [1.5m,2.5m] 5 [2.5m,4m] 6 [4m,8m] 7 [8m,12m] 8 [12m,20m] 9 20m or more

[0106] S103: According to the long-peaked random wave model, multiple sine waves are superimposed to obtain the wave waveform:

[0107]

[0108] The obtained wave shape is as follows Figure 2 shown.

[0109] S104: The waves encountered by the ship are orthogonally decomposed into following waves and transverse waves. The waveform of the following waves is:

[0110]

[0111] The waveform of a beam wave is:

[0112]

[0113] The swing load model of the sea sweeping light is calculated by the hull parameters and the navigation parameters. The step S2 comprises: S201: considering the influence of the ship speed and the wave angle, the encounter frequency of the hull is calculated according to the frequency of the encountered waves:

[0114] S202: Calculate the hull's rolling angle according to the hull's parameters. The hull's parameters are shown in Table 2.

[0115] Table 2 Hull parameters

[0116]

[0117]

[0118] Then when the encounter frequency of the hull is ω e The hull roll angle for a single sine wave is:

[0119]

[0120] The pitch angle of the hull is:

[0121]

[0122] S203: The sway angle of the hull can be expressed as:

[0123]

[0124] S204: Thus, the hull rolling angle curve is obtained:

[0125] like Figure 3 As shown, the roll angle curve:

[0126]

[0127] Pitch angle curve:

[0128]

[0129] In step S3, the material strength degradation model is constructed by an exponential model, which is expressed as σ(t)=X σ ·exp(-k σ X y ), where X y is the service life of the structure, σ(t) is the residual yield strength of the material at time t, X σ is the initial value of the material yield strength, k σ is a constant related to degradation performance, k is taken σ =0.03.

[0130] The ship-borne sea sweeping light structure simulation model is established by using Ansys software, and the step S4 comprises:

[0131] S401: Use Ansys software to build a 3D model of the ship-borne sea sweeping light structure and the hull replacement structure:

[0132] The three-dimensional model of the sea sweeping lamp structure is as follows Figure 4 As shown, according to the three-dimensional model of the sea-sweeping lamp structure, as well as the material properties, boundary conditions, analysis steps and mesh division of the sea-sweeping lamp structure, a simulation model of the sea-sweeping lamp structure is obtained. The stress of the sea-sweeping lamp structure is analyzed using the transient response analysis function with the swing load as input. The results are shown in FIG. Figure 5shown.

[0133] S402: Establish a joint parametric simulation model of Matlab and Ansys software, complete the generation of various input variables and swing loads of the parametric simulation model in Matlab software, store various parameterization results in a command stream file, use Ansys software to read the command stream file and the sea sweeping lamp structure simulation model and perform simulation analysis.

[0134] The step S5 comprises:

[0135] S501: The limit state function of the sea sweeping light servo structure is:

[0136] G=g(X,Y(t),t)=σ y (X σ ,X y )-S max (X t ,X L ,Y(t),t)

[0137] Where g(X,Y(t),t) represents the limit state function of the structure, σ y (X σ ,X y ) represents the ultimate strength of the structure, S max represents the stress of the sea sweeping lamp structure obtained by Ansys software simulation, X σ Represents the initial strength of the structure, X y Indicates the time the sea sweeping light structure has been used, X t Represents the size parameter of the structure, X L represents the installation position of the sea-sweeping light structure in the bow and stern directions, Y(t) represents the swing load on the sea-sweeping light structure, and t represents the time parameter.

[0138] S502: The input uncertainty variables of the sea sweeping light structure include: the geometric dimensions of the sea sweeping light structure, material properties, swing loads, and navigation parameters. The input uncertainty of the sea sweeping light structure is quantitatively analyzed using random variables and random processes, and the quantitative results are shown in Table 3, where the thickness of the shaft support surface is as follows: Figure 7 As shown, the installation position of the sea sweeping light structure is as follows Figure 8 shown.

[0139] Table 3 Uncertainty quantification results of input variables of time-varying reliability analysis

[0140]

[0141] The experimental design and random sampling are performed using the Latin hypercube method, and the step S6 includes:

[0142] S601: For a time parameter t in the time interval [0, t e ] is discretized to obtain N t1 discrete time points such that:

[0143]

[0144] S602: Use the Latin hypercube method to sample the uncertainty quantification variables of the inner proxy model input of the sweeping light structure, and obtain the N s1 Sample pool

[0145] S603: Y in the sample pool (k) (t (j) ) is converted to To express, construct a sample matrix based on the sample points in the sample pool Among them, the sample matrix The sample of the jth row in the kth layer is

[0146] The constructed inner layer proxy model is established by the Kriging model, and the step S7 comprises:

[0147] S701: Calculate the sample matrix according to the Kriging model The predicted mean and predicted standard deviation of each sample point in

[0148]

[0149] The variance is

[0150]

[0151] S702: Use the U learning function to determine whether the inner proxy model needs to add sample points, and calculate the U learning function value at each sample point:

[0152]

[0153] S703: Optionally, the added sample points are

[0154] x new =argminU(x)

[0155] The experimental design and random sampling are performed using the Latin hypercube method, and the step S8 includes:

[0156] S801: For the time parameter t in the time interval [0,t e ] is discretized to obtain Nt2 discrete time points such that:

[0157]

[0158] S802: Use the Latin hypercube method to sample the uncertainty quantification variables of the outer proxy model input of the sweeping light structure, including N s2 Sample pool

[0159] S803: Construct a sample matrix based on the sample points in the sample pool Among them, the sample matrix The sample of the kth and jth rows is

[0160] The constructed outer layer proxy model is established by the Kriging model, and the step S9 includes:

[0161] S901: Calculate the sample matrix using the Kriging model The maximum stress of the sea sweeping light structure within the time range at each sample point is predicted to be:

[0162]

[0163] The variance is:

[0164]

[0165] The step S10 comprises:

[0166] S1001: Use the Latin hypercube method to sample the uncertainty quantification variables and time of the limit state function of the sweeping light structure, and obtain the N s3 Sample pool of samples:

[0167]

[0168] S1002: Construct a sample matrix based on the sample points in the sample pool Among them, the sample matrix The sample of row i is

[0169]

[0170] The step S11 comprises:

[0171] S1101: Calculate sample matrix Estimated value of the limit state function response for all sample points in :

[0172]

[0173] S1102: Calculate the time interval [0,t e ]The time-varying failure probability of the internal sea sweeping light structure is

[0174]

[0175] S1103: Calculate the time interval [0,t e ]The time-varying reliability of the internal sea sweeping light structure is

[0176]

[0177] The time-varying reliability analysis results of the sea sweeping light structure under various sea conditions are as follows: Figure 8 shown.

[0178] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A time-varying reliability analysis method for a shipborne sea sweeping light structure, characterized in that: The steps include: S1: Establish wave models under different sea conditions according to the wave height and frequency under different sea conditions; S2: Establish a model of the swing load on the sea sweeping light structure based on the ship's parameters, navigation parameters and wave model; S3: Establish a degradation model for the structural strength of the sea sweeper; S4: Establish a joint simulation model of the transient response of the sea sweeping light structure under swing load; S5: Establish the limit state function of the sea sweeping light servo structure and quantify the uncertainty in the input variables; S6: According to the quantification results, perform an experimental design on each input variable to perform random sampling to obtain a sample point set of the inner proxy model; S7: establishing an inner layer proxy model of the sea sweeping lamp structure according to the inner layer proxy model sample point set and Ansys simulation analysis results; S8: According to the quantification results, an experimental design is performed on each input variable of the outer agent model to perform random sampling to obtain a sample point set of the outer agent model; S9: establishing an outer proxy model of the sea sweeping lamp structure according to the outer proxy model sample point set and the inner proxy model response result; S10: Performing random sampling on each input variable of the outer proxy model according to the quantification results, calculating the response results of the outer proxy model, and obtaining a sample point set for time-varying reliability analysis of the sea sweeping lamp structure; S11: Calculate the failure probability and reliability according to the number of failure samples in the time-varying reliability analysis sample point set of the sea-sweeping lamp structure.

2. The time-varying reliability analysis method of a shipborne sea sweeping structure according to claim 1 is characterized in that: In step S1, the wave model is established by the ITTC (International Towing Tank Conference, ITTC) single parameter spectrum and long crest wave random wave model, and step S1 includes: S101: Establish the relationship between wave height and frequency based on the ITTC single parameter spectrum: S102: Calculate the probability density function of the wave frequency under each level of sea condition according to the wave height range under each level of sea condition. S103: According to the long-peaked random wave model, multiple sine waves are superimposed to obtain the wave waveform: S104: The waves encountered by the ship are orthogonally decomposed into following waves and transverse waves. The waveform of the following waves is: The waveform of a beam wave is:

3. The time-varying reliability analysis method of a shipborne sea sweeping structure according to claim 1 is characterized in that: In step S2, the swing load model of the sea sweeping light is calculated by the hull parameters and the navigation parameters, and step S2 includes: S201; Considering the influence of ship speed and wave angle, the encounter frequency of the ship is calculated according to the frequency of the encountered waves: S202: Calculate the sway angle of the hull according to the hull parameters: S203: The sway angle of the hull can be expressed as: S204: Thus, the hull rolling angle curve is obtained: Roll curve: Pitch angle curve:

4. The time-varying reliability analysis method of a shipborne sea sweeping structure according to claim 1 is characterized in that: The step S5 comprises: S501: The limit state function of the sea sweeping light servo structure is: G=g(X,Y(t),t)=σ y (X σ ,X y )-S max (X t ,X L ,Y(t),t) Where g(X,Y(t),t) represents the limit state function of the structure, σ y (X σ ,X y ) represents the ultimate strength of the structure, S max represents the stress of the sea sweeping lamp structure obtained by Ansys software simulation, X σ Represents the initial strength of the structure, X y Indicates the time the sea sweeping light structure has been used, X t Represents the size parameter of the structure, X L represents the installation position of the sea-sweeping light structure in the bow and stern directions, Y(t) represents the swing load on the sea-sweeping light structure, and t represents the time parameter. S502: The input uncertainty variables of the sea-sweeping light structure include: geometric dimensions of the sea-sweeping light structure, material properties, swing loads, and navigation parameters. Random variables and random processes are used to quantify the input uncertainty of the sea-sweeping light structure to obtain the quantified results.

5. The time-varying reliability analysis method of a shipborne sea sweeping structure according to claim 1 is characterized in that: In step S6, the experimental design and random sampling are performed using the Latin hypercube method, and step S6 includes: S601: For a time parameter t in the time interval [0, t e ] is discretized to obtain N t1 discrete time points such that: S602: Use the Latin hypercube method to sample the uncertainty quantification variables of the inner proxy model input of the sweeping light structure, and obtain the N s1 Sample pool S603: Y in the sample pool (k) (t (j) ) is converted to To express, construct a sample matrix based on the sample points in the sample pool Among them, the sample matrix The sample of the jth row in the kth layer is 6. The time-varying reliability analysis method for a shipborne sea sweeping structure according to claim 1, wherein in step S7, the inner proxy model constructed is established by a Kriging model, characterized in that: The step S7 comprises: S701: Calculate the sample matrix according to the Kriging model The predicted mean and predicted standard deviation of each sample point in the prediction value are: The variance is: S702: Use the U learning function to determine whether the inner proxy model needs to add sample points, and calculate the U learning function value at each sample point: S703: Optionally, the added sample points are: x new =argminU(x) 7. The time-varying reliability analysis method of a shipborne sea sweeping structure according to claim 1 is characterized in that: In step S8, the experimental design and random sampling are performed using the Latin hypercube method, and step S8 includes: S801: For the time parameter t in the time interval [0,t e ] is discretized to obtain N t2 discrete time points such that: S802: Use the Latin hypercube method to sample the uncertainty quantification variables of the outer proxy model input of the sweeping light structure, including N s2 Sample pool S803: Construct a sample matrix based on the sample points in the sample pool Among them, the sample matrix The sample of the kth and jth rows is 8. The time-varying reliability analysis method for a shipborne sea sweeping structure according to claim 1, wherein in step S9, the outer proxy model constructed is established by a Kriging model, characterized in that: The step S9 comprises: S901: Calculate the sample matrix using the Kriging model The maximum stress of the sea sweeping light structure within the time range at each sample point is predicted to be: The variance is:

9. The time-varying reliability analysis method of a shipborne sea sweeping structure according to claim 1 is characterized in that: In step S10, the experimental design and random sampling are performed using the Latin hypercube method, and step S10 includes: S1001: Use the Latin hypercube method to sample the uncertainty quantification variables and time of the limit state function of the sweeping light structure, and obtain the N s3 Sample pool of samples: S1002: Construct a sample matrix based on the sample points in the sample pool Among them, the sample matrix The sample of row i is:

10. The time-varying reliability analysis method of a shipborne sea sweeping structure according to claim 1, characterized in that: The step S11 comprises: S1101: Calculate sample matrix Estimated value of the limit state function response for all sample points in : S1102: Calculate the time interval [0,t e ]The time-varying failure probability of the internal sea sweeping light structure is: S1103: Calculate the time interval [0,t e ]The time-varying reliability of the internal sea sweeping light structure is:

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