Method and system for monitoring fatigue performance of composite material in marine environment

Abstract

The invention discloses a fatigue performance monitoring method and system of a composite material in a marine environment, the composite material is used on a marine structure, and the method comprises the following steps: acquiring material information of the composite material, the material information comprises the stress borne by the composite material, the strain of the composite material, the environment temperature, the environment humidity, the number of cyclic loading times and the salinity concentration of seawater; a composite material fatigue performance monitoring model is set, the fatigue performance index of the composite material is calculated according to the material information, and the composite material fatigue performance monitoring model comprises a comprehensive influence function of environmental factors used for considering the influence of the environmental factors on the fatigue performance; when the fatigue performance index of the composite material exceeds a preset fatigue threshold value, alarm information is sent out, and a user is prompted to maintain the composite material.

Description

Technical Field

[0001] The present invention belongs to the technical field of fatigue performance monitoring of composite material marine structures, and more specifically, relates to a method and system for monitoring fatigue performance of composite materials in a marine environment. Background Art

[0002] Composite marine structures refer to marine engineering structures built with composite materials. These structures are widely used in ships, offshore platforms, offshore pipelines, buoys, etc. Compared with traditional materials, composite materials have the advantages of light weight, high strength, corrosion resistance, and fatigue resistance, so they are increasingly used in marine engineering.

[0003] Key Features and Benefits

[0004] Lightweight and high strength: Composite materials are generally lighter than metals but have higher strength, which makes them very useful in weight-sensitive marine applications.

[0005] Corrosion resistance: The marine environment contains a large amount of salt and moisture, which can easily cause corrosion of traditional metal materials, while composite materials have excellent corrosion resistance.

[0006] Good fatigue resistance: The multi-directional fiber structure of the composite material gives it good fatigue resistance and is suitable for long-term use.

[0007] High design flexibility: Composite materials can adjust the material properties to meet specific design requirements by changing the fiber type, arrangement and matrix material.

[0008] However, there is no technical solution in the prior art that can consider multiple factors to monitor the fatigue performance of composite materials in marine environments. Summary of the invention

[0009] In order to solve the above technical problems, the present invention proposes a method for monitoring fatigue performance of a composite material in a marine environment, wherein the composite material is used on a marine structure, comprising:

[0010] Acquiring material information of the composite material, wherein the material information includes: stress on the composite material, strain on the composite material, ambient temperature, ambient humidity, number of cyclic loads, and salt concentration of seawater;

[0011] A composite material fatigue performance monitoring model is set, and fatigue performance indicators of the composite material are calculated according to the material information, wherein the composite material fatigue performance monitoring model includes: a comprehensive influence function of environmental factors for considering the influence of environmental factors on fatigue performance;

[0012] When the fatigue performance index of the composite material exceeds a preset fatigue threshold, an alarm message is issued to prompt the user to perform maintenance on the composite material.

[0013] Furthermore, the composite material fatigue performance monitoring model includes:

[0014]

[0015] Wherein, F is the fatigue performance index of the composite material, α is the first adjustment factor of the fatigue performance index, S is the stress of the composite material, β is the second adjustment factor of the fatigue performance index, γ is the third adjustment factor of the fatigue performance index, ε is the strain of the composite material, δ is the fourth adjustment factor of the fatigue performance index, ω is the load cycle, N is the number of cyclic loads, φ is the phase shift of the periodic load, η(T, H, C, t) is the comprehensive influence function of environmental factors, T is the ambient temperature, H is the ambient humidity, C is the salt concentration of seawater, t is the time, θ is the fifth adjustment factor of the fatigue performance index, D is the remaining service life of the composite material, λ is the sixth adjustment factor of the fatigue performance index, μ is the seventh adjustment factor of the fatigue performance index, v is the eighth adjustment factor of the fatigue performance index, κ is the ninth adjustment factor of the fatigue performance index, ξ is the tenth adjustment factor of the fatigue performance index, S(τ) is the stress of the composite material at time τ, and ε(τ) is the strain of the composite material at time τ.

[0016] Furthermore, the comprehensive impact function η(T, H, C, t) of the environmental factors includes:

[0017]

[0018] Among them, t0 is the starting time of integration, α′ is the weight of ambient temperature, ω′ is the adjustment factor of ambient temperature, T(τ) is the ambient temperature at time τ, β′ is the weight of ambient humidity, γ′ is the adjustment factor of ambient humidity, H(τ) is the ambient humidity at time τ, δ′ is the weight of seawater salt concentration, C(τ) is the salt concentration of seawater at time τ, fTC is the interaction function between temperature and salt concentration, and φ(t-τ) is the attenuation function, which reflects the decreasing influence of environmental factors on fatigue performance over time.

[0019] Furthermore, the attenuation function φ(t-τ) includes:

[0020] φ(t-τ)=exp[-λ″·(t-τ)+μ″·sin(ω″·(t-τ))]·(1+α″′·ln(1+(t-τ))+β″′·(t-τ) p′ )

[0021] Among them, λ″ is the first adjustment factor of the attenuation function, μ″ is the second adjustment factor of the attenuation function, ω″ is the third adjustment factor of the attenuation function, α″′ is the fourth adjustment factor of the attenuation function, β″′ is the fifth adjustment factor of the attenuation function, and p′ is the sixth adjustment factor of the attenuation function.

[0022] Furthermore, the interaction function fTC of temperature and salt concentration includes:

[0023] fTC=f0·exp(α″·T β″ )·ln(1+γ″·C δ″ )

[0024] Among them, f0 is the benchmark coefficient, which is used to adjust the overall magnitude of the interaction influence function, α″ is the first adjustment factor of the interaction influence function, β″ is the second adjustment factor of the interaction influence function, γ″ is the third adjustment factor of the interaction influence function, and δ″ is the fourth adjustment factor of the interaction influence function.

[0025] Furthermore, all weights and adjustment factors are fitted by the least squares method.

[0026] The present invention also provides a fatigue performance monitoring system for composite materials in a marine environment, wherein the composite materials are used on marine structures and include:

[0027] An information acquisition module is used to acquire material information of the composite material, wherein the material information includes: stress on the composite material, strain on the composite material, ambient temperature, ambient humidity, number of cyclic loads, and salt concentration of seawater;

[0028] A model module is set up to set a composite material fatigue performance monitoring model, and calculate the fatigue performance index of the composite material according to the material information, wherein the composite material fatigue performance monitoring model includes: a comprehensive influence function of environmental factors for considering the influence of environmental factors on fatigue performance;

[0029] The maintenance module is used to issue an alarm message when the fatigue performance index of the composite material exceeds a preset fatigue threshold, prompting the user to perform maintenance on the composite material.

[0030] Furthermore, the composite material fatigue performance monitoring model includes:

[0031]

[0032] Wherein, F is the fatigue performance index of the composite material, α is the first adjustment factor of the fatigue performance index, S is the stress of the composite material, β is the second adjustment factor of the fatigue performance index, γ is the third adjustment factor of the fatigue performance index, ε is the strain of the composite material, δ is the fourth adjustment factor of the fatigue performance index, ω is the load cycle, N is the number of cyclic loads, φ is the phase shift of the periodic load, η(T, H, C, t) is the comprehensive influence function of environmental factors, T is the ambient temperature, H is the ambient humidity, C is the salt concentration of seawater, t is the time, θ is the fifth adjustment factor of the fatigue performance index, D is the remaining service life of the composite material, λ is the sixth adjustment factor of the fatigue performance index, μ is the seventh adjustment factor of the fatigue performance index, v is the eighth adjustment factor of the fatigue performance index, κ is the ninth adjustment factor of the fatigue performance index, ξ is the tenth adjustment factor of the fatigue performance index, S(τ) is the stress of the composite material at time τ, and ε(τ) is the strain of the composite material at time τ.

[0033] Furthermore, the comprehensive impact function η(T, H, C, t) of the environmental factors includes:

[0034]

[0035] Among them, t0 is the starting time of integration, α′ is the weight of ambient temperature, ω′ is the adjustment factor of ambient temperature, T(τ) is the ambient temperature at time τ, β′ is the weight of ambient humidity, γ′ is the adjustment factor of ambient humidity, H(τ) is the ambient humidity at time τ, δ' is the weight of seawater salt concentration, C(τ) is the salt concentration of seawater at time τ, fTC is the interaction function between temperature and salt concentration, and φ(t-τ) is the attenuation function, which reflects the decreasing influence of environmental factors on fatigue performance over time.

[0036] Furthermore, the attenuation function φ(t-τ) includes:

[0037] φ(t-τ)=exp[-λ″·(t-τ)+μ″·sin(ω″·(t-τ))]·(1+α″′·ln(1+(t-τ))+β″′·(t-τ) p′ )

[0038] Among them, λ″ is the first adjustment factor of the attenuation function, μ″ is the second adjustment factor of the attenuation function, ω″ is the third adjustment factor of the attenuation function, α″′ is the fourth adjustment factor of the attenuation function, β″′ is the fifth adjustment factor of the attenuation function, and p′ is the sixth adjustment factor of the attenuation function.

[0039] In general, the above technical solution conceived by the present invention has the following beneficial effects compared with the prior art:

[0040] The present invention sets up a composite material fatigue performance monitoring model and calculates the fatigue performance index of the composite material based on the material information, wherein the composite material fatigue performance monitoring model includes: a comprehensive influence function of environmental factors for considering the influence of environmental factors on fatigue performance, which fully considers the influence of various factors on the fatigue performance of composite materials in the marine environment, thereby providing reliable design ideas for R&D personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 is a flow chart of the method of embodiment 1 of the present invention;

[0042] Figure 2 It is a structural diagram of the system of embodiment 2 of the present invention. DETAILED DESCRIPTION

[0043] 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.

[0044] 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.

[0045] The processor may include one or more processing cores. The processor uses various interfaces and lines to connect various parts of 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.

[0046] 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.

[0047] The display screen is used to display the user interface of each application.

[0048] 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.

[0049] Example 1

[0050] like Figure 1As shown, an embodiment of the present invention provides a method for monitoring fatigue performance of a composite material in a marine environment, wherein the composite material is used on a marine structure, comprising:

[0051] Step 101, obtaining material information of the composite material, wherein the material information includes: stress on the composite material, strain on the composite material, ambient temperature, ambient humidity, number of cyclic loads, and salt concentration of seawater;

[0052] Step 102, setting a composite material fatigue performance monitoring model, and calculating the fatigue performance index of the composite material according to the material information, wherein the composite material fatigue performance monitoring model includes: a comprehensive influence function of environmental factors for considering the influence of environmental factors on fatigue performance;

[0053] Specifically, the composite material fatigue performance monitoring model includes:

[0054]

[0055] Wherein, F is the fatigue performance index of the composite material, α is the first adjustment factor of the fatigue performance index, S is the stress of the composite material, β is the second adjustment factor of the fatigue performance index, γ is the third adjustment factor of the fatigue performance index, ε is the strain of the composite material, δ is the fourth adjustment factor of the fatigue performance index, ω is the load cycle, N is the number of cyclic loads, φ is the phase shift of the periodic load, η(T, H, C, t) is the comprehensive influence function of environmental factors, T is the ambient temperature, H is the ambient humidity, C is the salt concentration of seawater, t is the time, θ is the fifth adjustment factor of the fatigue performance index, D is the remaining service life of the composite material, λ is the sixth adjustment factor of the fatigue performance index, μ is the seventh adjustment factor of the fatigue performance index, v is the eighth adjustment factor of the fatigue performance index, κ is the ninth adjustment factor of the fatigue performance index, ξ is the tenth adjustment factor of the fatigue performance index, S(τ) is the stress of the composite material at time τ, and ε(τ) is the strain of the composite material at time τ.

[0056] Specifically, the comprehensive impact function η(T, H, C, t) of the environmental factors includes:

[0057]

[0058] Among them, t0 is the starting time of integration, α′ is the weight of ambient temperature, ω′ is the adjustment factor of ambient temperature, T(τ) is the ambient temperature at time τ, β′ is the weight of ambient humidity, γ′ is the adjustment factor of ambient humidity, H(τ) is the ambient humidity at time τ, δ′ is the weight of seawater salt concentration, C(τ) is the salt concentration of seawater at time τ, fTC is the interaction function between temperature and salt concentration, and φ(t-τ) is the attenuation function, which reflects the decreasing influence of environmental factors on fatigue performance over time.

[0059] Specifically, the attenuation function φ(t-τ) includes:

[0060] φ(t-τ)=exp[-λ″·(t-τ)+μ″·sin(ω″·(t-τ))].(1+α″′·ln(1

[0061] +(t-τ))+β″′·(t-τ)p)

[0062] Among them, λ″ is the first adjustment factor of the attenuation function, μ″ is the second adjustment factor of the attenuation function, ω″ is the third adjustment factor of the attenuation function, α″′ is the fourth adjustment factor of the attenuation function, β″′ is the fifth adjustment factor of the attenuation function, and p′ is the sixth adjustment factor of the attenuation function.

[0063] Specifically, the interaction function TTC of temperature and salt concentration includes:

[0064] fTC=f0·exp(α″·T β″ )·ln(1+γ″·C δ″ )

[0065] Among them, f0 is the benchmark coefficient, which is used to adjust the overall magnitude of the interaction influence function, α″ is the first adjustment factor of the interaction influence function, β″ is the second adjustment factor of the interaction influence function, γ″ is the third adjustment factor of the interaction influence function, and δ″ is the fourth adjustment factor of the interaction influence function.

[0066] Specifically, all weights and adjustment factors are fitted by the least squares method.

[0067] Step 103: When the fatigue performance index of the composite material exceeds a preset fatigue threshold, an alarm message is issued to prompt the user to perform maintenance on the composite material.

[0068] Example 2

[0069] like Figure 2 As shown, an embodiment of the present invention further provides a fatigue performance monitoring system of a composite material in a marine environment, wherein the composite material is used on a marine structure, and comprises:

[0070] An information acquisition module is used to acquire material information of the composite material, wherein the material information includes: stress on the composite material, strain on the composite material, ambient temperature, ambient humidity, number of cyclic loads, and salt concentration of seawater;

[0071] A model module is set up to set a composite material fatigue performance monitoring model, and calculate the fatigue performance index of the composite material according to the material information, wherein the composite material fatigue performance monitoring model includes: a comprehensive influence function of environmental factors for considering the influence of environmental factors on fatigue performance;

[0072] Specifically, the composite material fatigue performance monitoring model includes:

[0073]

[0074] Wherein, F is the fatigue performance index of the composite material, α is the first adjustment factor of the fatigue performance index, S is the stress of the composite material, β is the second adjustment factor of the fatigue performance index, γ is the third adjustment factor of the fatigue performance index, ε is the strain of the composite material, δ is the fourth adjustment factor of the fatigue performance index, ω is the load cycle, N is the number of cyclic loads, φ is the phase shift of the periodic load, η(T, H, C, t) is the comprehensive influence function of environmental factors, T is the ambient temperature, H is the ambient humidity, C is the salt concentration of seawater, t is the time, θ is the fifth adjustment factor of the fatigue performance index, D is the remaining service life of the composite material, λ is the sixth adjustment factor of the fatigue performance index, μ is the seventh adjustment factor of the fatigue performance index, v is the eighth adjustment factor of the fatigue performance index, κ is the ninth adjustment factor of the fatigue performance index, ξ is the tenth adjustment factor of the fatigue performance index, S(τ) is the stress of the composite material at time τ, and ε(τ) is the strain of the composite material at time τ.

[0075] Specifically, the comprehensive impact function η(T, H, C, t) of the environmental factors includes:

[0076]

[0077] Among them, t0 is the starting time of integration, α′ is the weight of ambient temperature, ω′ is the adjustment factor of ambient temperature, T(τ) is the ambient temperature at time τ, β′ is the weight of ambient humidity, γ′ is the adjustment factor of ambient humidity, H(τ) is the ambient humidity at time τ, δ′ is the weight of seawater salt concentration, C(τ) is the salt concentration of seawater at time τ, fTC is the interaction function between temperature and salt concentration, and φ(t-τ) is the attenuation function, which reflects the decreasing influence of environmental factors on fatigue performance over time.

[0078] Specifically, the attenuation function φ(t-τ) includes:

[0079] φ(t-τ)=exp[-λ″·(t-τ)+μ″·sin(ω″·(t-τ))]·(1+α″′·ln(1+(t-τ))+β″′·(t-τ) p′ )

[0080] Among them, λ″ is the first adjustment factor of the attenuation function, μ″ is the second adjustment factor of the attenuation function, ω″ is the third adjustment factor of the attenuation function, α″′ is the fourth adjustment factor of the attenuation function, β″′ is the fifth adjustment factor of the attenuation function, and p′ is the sixth adjustment factor of the attenuation function.

[0081] Specifically, the interaction function fTC of temperature and salt concentration includes:

[0082] fTC=f0·exp(α″·T β″ )·ln(1+γ″·C δ″ )

[0083] Among them, f0 is the benchmark coefficient, which is used to adjust the overall magnitude of the interaction influence function, α″ is the first adjustment factor of the interaction influence function, β″ is the second adjustment factor of the interaction influence function, γ″ is the third adjustment factor of the interaction influence function, and δ″ is the fourth adjustment factor of the interaction influence function.

[0084] Specifically, all weights and adjustment factors are fitted by the least squares method.

[0085] The maintenance module is used to issue an alarm message when the fatigue performance index of the composite material exceeds a preset fatigue threshold, prompting the user to perform maintenance on the composite material.

[0086] Example 3

[0087] The embodiment of the present invention further provides a storage medium storing a plurality of instructions, wherein the instructions are used to implement the fatigue performance monitoring method of a composite material in a marine environment.

[0088] 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.

[0089] Optionally, in this embodiment, the storage medium is configured to store program codes for executing the following steps: Step 101, obtaining material information of the composite material, wherein the material information includes: stress on the composite material, strain on the composite material, ambient temperature, ambient humidity, number of cyclic loads, and salt concentration of seawater;

[0090] Step 102, setting a composite material fatigue performance monitoring model, and calculating the fatigue performance index of the composite material according to the material information, wherein the composite material fatigue performance monitoring model includes: a comprehensive influence function of environmental factors for considering the influence of environmental factors on fatigue performance;

[0091] Specifically, the composite material fatigue performance monitoring model includes:

[0092]

[0093] Wherein, F is the fatigue performance index of the composite material, α is the first adjustment factor of the fatigue performance index, S is the stress of the composite material, β is the second adjustment factor of the fatigue performance index, γ is the third adjustment factor of the fatigue performance index, ε is the strain of the composite material, δ is the fourth adjustment factor of the fatigue performance index, ω is the load cycle, N is the number of cyclic loads, φ is the phase shift of the periodic load, η(T, H, C, t) is the comprehensive influence function of environmental factors, T is the ambient temperature, H is the ambient humidity, C is the salt concentration of seawater, t is the time, θ is the fifth adjustment factor of the fatigue performance index, D is the remaining service life of the composite material, λ is the sixth adjustment factor of the fatigue performance index, μ is the seventh adjustment factor of the fatigue performance index, v is the eighth adjustment factor of the fatigue performance index, κ is the ninth adjustment factor of the fatigue performance index, ξ is the tenth adjustment factor of the fatigue performance index, S(τ) is the stress of the composite material at time τ, and ε(τ) is the strain of the composite material at time τ.

[0094] Specifically, the comprehensive impact function η(T, H, C, t) of the environmental factors includes:

[0095]

[0096] Among them, t0 is the starting time of integration, α′ is the weight of ambient temperature, ω′ is the adjustment factor of ambient temperature, T(τ) is the ambient temperature at time τ, β′ is the weight of ambient humidity, γ′ is the adjustment factor of ambient humidity, H(τ) is the ambient humidity at time τ, δ′ is the weight of seawater salt concentration, C(τ) is the salt concentration of seawater at time τ, fTC is the interaction function between temperature and salt concentration, and φ(t-τ) is the attenuation function, which reflects the decreasing influence of environmental factors on fatigue performance over time.

[0097] Specifically, the attenuation function φ(t-τ) includes:

[0098] φ(t-τ)=exp[-λ″·(t-τ)+μ″·sin(ω″·(t-τ))]·(1+α″′·ln(1+(t-τ))+β″′·(t-τ) p′ )

[0099] Among them, λ″ is the first adjustment factor of the attenuation function, μ″ is the second adjustment factor of the attenuation function, ω″ is the third adjustment factor of the attenuation function, α″′ is the fourth adjustment factor of the attenuation function, β″′ is the fifth adjustment factor of the attenuation function, and p′ is the sixth adjustment factor of the attenuation function.

[0100] Specifically, the interaction function fTC of temperature and salt concentration includes:

[0101] fTC=f0·exp(α″·T β″ )·ln(1+γ″·C δ″ )

[0102] Among them, f0 is the benchmark coefficient, which is used to adjust the overall magnitude of the interaction influence function, α″ is the first adjustment factor of the interaction influence function, β″ is the second adjustment factor of the interaction influence function, γ″ is the third adjustment factor of the interaction influence function, and δ″ is the fourth adjustment factor of the interaction influence function.

[0103] Specifically, all weights and adjustment factors are fitted by the least squares method.

[0104] Step 103: When the fatigue performance index of the composite material exceeds a preset fatigue threshold, an alarm message is issued to prompt the user to perform maintenance on the composite material.

[0105] Example 4

[0106] 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 a plurality of instructions, and the instructions can be loaded and executed by the processor so that the processor can execute the fatigue performance monitoring method of a composite material in a marine environment.

[0107] 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.

[0108] Among them, the storage medium can be used to store software programs and modules, such as a fatigue performance monitoring method of a composite material 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 fatigue performance monitoring method of a composite material in a marine environment. The storage medium may include a high-speed random storage medium, and may also include a non-volatile storage medium, 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 a storage medium 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.

[0109] The processor can call the information and application program stored in the storage medium through the transmission system to perform the following steps: Step 101, obtaining material information of the composite material, wherein the material information includes: stress on the composite material, strain of the composite material, ambient temperature, ambient humidity, number of cyclic loads, and salt concentration of seawater;

[0110] Step 102, setting a composite material fatigue performance monitoring model, and calculating the fatigue performance index of the composite material according to the material information, wherein the composite material fatigue performance monitoring model includes: a comprehensive influence function of environmental factors for considering the influence of environmental factors on fatigue performance;

[0111] Specifically, the composite material fatigue performance monitoring model includes:

[0112]

[0113] Wherein, F is the fatigue performance index of the composite material, α is the first adjustment factor of the fatigue performance index, S is the stress of the composite material, β is the second adjustment factor of the fatigue performance index, γ is the third adjustment factor of the fatigue performance index, ε is the strain of the composite material, δ is the fourth adjustment factor of the fatigue performance index, ω is the load cycle, N is the number of cyclic loads, φ is the phase shift of the periodic load, η(T, H, C, t) is the comprehensive influence function of environmental factors, T is the ambient temperature, H is the ambient humidity, C is the salt concentration of seawater, t is the time, θ is the fifth adjustment factor of the fatigue performance index, D is the remaining service life of the composite material, λ is the sixth adjustment factor of the fatigue performance index, μ is the seventh adjustment factor of the fatigue performance index, v is the eighth adjustment factor of the fatigue performance index, κ is the ninth adjustment factor of the fatigue performance index, ξ is the tenth adjustment factor of the fatigue performance index, S(τ) is the stress of the composite material at time τ, and ε(τ) is the strain of the composite material at time τ.

[0114] Specifically, the comprehensive impact function η(T, H, C, t) of the environmental factors includes:

[0115]

[0116] Among them, t0 is the starting time of integration, α′ is the weight of ambient temperature, ω′ is the adjustment factor of ambient temperature, T(τ) is the ambient temperature at time τ, β′ is the weight of ambient humidity, γ′ is the adjustment factor of ambient humidity, H(τ) is the ambient humidity at time τ, δ′ is the weight of seawater salt concentration, C(τ) is the salt concentration of seawater at time τ, fTC is the interaction function between temperature and salt concentration, and φ(t-τ) is the attenuation function, which reflects the decreasing influence of environmental factors on fatigue performance over time.

[0117] Specifically, the attenuation function φ(t-τ) includes:

[0118] φ(t-τ)=exp[-λ″·(t-τ)+μ″·sin(ω″·(t-τ))]·(1+α″′·ln(1+(t-τ))+β″′·(t-τ) p′ )

[0119] Among them, λ″ is the first adjustment factor of the attenuation function, μ″ is the second adjustment factor of the attenuation function, ω″ is the third adjustment factor of the attenuation function, α″′ is the fourth adjustment factor of the attenuation function, β″′ is the fifth adjustment factor of the attenuation function, and p′ is the sixth adjustment factor of the attenuation function.

[0120] Specifically, the interaction function fTC of temperature and salt concentration includes:

[0121] fTC=f0·exp(α″·T β″ )·ln(1+γ″·C δ″ )

[0122] Among them, f0 is the benchmark coefficient, which is used to adjust the overall magnitude of the interaction influence function, α″ is the first adjustment factor of the interaction influence function, β″ is the second adjustment factor of the interaction influence function, γ″ is the third adjustment factor of the interaction influence function, and δ″ is the fourth adjustment factor of the interaction influence function.

[0123] Specifically, all weights and adjustment factors are fitted by the least squares method.

[0124] Step 103: When the fatigue performance index of the composite material exceeds a preset fatigue threshold, an alarm message is issued to prompt the user to perform maintenance on the composite material.

[0125] 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.

[0126] 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.

[0127] 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.

[0128] 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.

[0129] 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.

[0130] 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.

[0131] 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 monitoring fatigue performance of a composite material in a marine environment, wherein the composite material is used in a marine structure, characterized in that: include: Acquiring material information of the composite material, wherein the material information includes: stress on the composite material, strain on the composite material, ambient temperature, ambient humidity, number of cyclic loads, and salt concentration of seawater; A composite material fatigue performance monitoring model is set, and fatigue performance indicators of the composite material are calculated according to the material information, wherein the composite material fatigue performance monitoring model includes: a comprehensive influence function of environmental factors for considering the influence of environmental factors on fatigue performance; When the fatigue performance index of the composite material exceeds a preset fatigue threshold, an alarm message is issued to prompt the user to perform maintenance on the composite material.

2. A method for monitoring fatigue performance of composite materials in a marine environment as claimed in claim 1, characterized in that: The composite material fatigue performance monitoring model includes: Wherein, F is the fatigue performance index of the composite material, α is the first adjustment factor of the fatigue performance index, S is the stress of the composite material, β is the second adjustment factor of the fatigue performance index, γ is the third adjustment factor of the fatigue performance index, ε is the strain of the composite material, δ is the fourth adjustment factor of the fatigue performance index, ω is the load cycle, N is the number of cyclic loads, φ is the phase shift of the periodic load, η(T, H, C, t) is the comprehensive influence function of environmental factors, T is the ambient temperature, H is the ambient humidity, C is the salt concentration of seawater, t is the time, θ is the fifth adjustment factor of the fatigue performance index, D is the remaining service life of the composite material, λ is the sixth adjustment factor of the fatigue performance index, μ is the seventh adjustment factor of the fatigue performance index, v is the eighth adjustment factor of the fatigue performance index, κ is the ninth adjustment factor of the fatigue performance index, ξ is the tenth adjustment factor of the fatigue performance index, S(τ) is the stress of the composite material at time τ, and ε(τ) is the strain of the composite material at time τ.

3. A method for monitoring fatigue performance of composite materials in a marine environment as claimed in claim 2, characterized in that: The comprehensive influence function η(T, H, C, t) of the environmental factors includes: Among them, t0 is the starting time of integration, α′ is the weight of ambient temperature, ω′ is the adjustment factor of ambient temperature, T(τ) is the ambient temperature at time τ, β′ is the weight of ambient humidity, γ′ is the adjustment factor of ambient humidity, H(τ) is the ambient humidity at time τ, δ′ is the weight of seawater salt concentration, C(τ) is the salt concentration of seawater at time τ, fTC is the interaction function between temperature and salt concentration, and φ(t-τ) is the attenuation function, which reflects the decreasing influence of environmental factors on fatigue performance over time.

4. A method for monitoring fatigue performance of composite materials in a marine environment as claimed in claim 3, characterized in that: The attenuation function φ(t-τ) includes: φ(t-τ)=exp[-λ″·(t-τ)+μ″·sin(ω″·(t-τ))]·(1+α″′·ln(1+(t-τ))+β″′·(t-τ) p′ ) Among them, λ″ is the first adjustment factor of the attenuation function, μ″ is the second adjustment factor of the attenuation function, ω″ is the third adjustment factor of the attenuation function, α″′ is the fourth adjustment factor of the attenuation function, β″′ is the fifth adjustment factor of the attenuation function, and p′ is the sixth adjustment factor of the attenuation function.

5. A method for monitoring fatigue performance of composite materials in a marine environment as claimed in claim 4, characterized in that: The interaction function fTC of temperature and salt concentration includes: fTC=f0·exp(α″·T β′ )·ln(1+γ″·C δ″ ) Among them, f0 is the benchmark coefficient, which is used to adjust the overall magnitude of the interaction influence function, α″ is the first adjustment factor of the interaction influence function, β″ is the second adjustment factor of the interaction influence function, γ″ is the third adjustment factor of the interaction influence function, and δ″ is the fourth adjustment factor of the interaction influence function.

6. A method for monitoring fatigue performance of composite materials in a marine environment as claimed in claim 5, characterized in that: All weights and adjustment factors were fitted by the least squares method.

7. A fatigue performance monitoring system for composite materials in a marine environment, wherein the composite materials are used in marine structures, characterized in that: include: An information acquisition module is used to acquire material information of the composite material, wherein the material information includes: stress on the composite material, strain on the composite material, ambient temperature, ambient humidity, number of cyclic loads, and salt concentration of seawater; A model module is set up to set a composite material fatigue performance monitoring model, and calculate the fatigue performance index of the composite material according to the material information, wherein the composite material fatigue performance monitoring model includes: a comprehensive influence function of environmental factors for considering the influence of environmental factors on fatigue performance; The maintenance module is used to issue an alarm message when the fatigue performance index of the composite material exceeds a preset fatigue threshold, prompting the user to perform maintenance on the composite material.

8. A fatigue performance monitoring system for composite materials in a marine environment as claimed in claim 7, characterized in that: The composite material fatigue performance monitoring model includes: Wherein, F is the fatigue performance index of the composite material, α is the first adjustment factor of the fatigue performance index, S is the stress of the composite material, β is the second adjustment factor of the fatigue performance index, γ is the third adjustment factor of the fatigue performance index, ε is the strain of the composite material, δ is the fourth adjustment factor of the fatigue performance index, ω is the load cycle, N is the number of cyclic loads, φ is the phase shift of the periodic load, η(T, H, C, t) is the comprehensive influence function of environmental factors, T is the ambient temperature, H is the ambient humidity, C is the salt concentration of seawater, t is the time, θ is the fifth adjustment factor of the fatigue performance index, D is the remaining service life of the composite material, λ is the sixth adjustment factor of the fatigue performance index, μ is the seventh adjustment factor of the fatigue performance index, v is the eighth adjustment factor of the fatigue performance index, κ is the ninth adjustment factor of the fatigue performance index, ξ is the tenth adjustment factor of the fatigue performance index, S(τ) is the stress of the composite material at time τ, and ε(τ) is the strain of the composite material at time τ.

9. A fatigue performance monitoring system for composite materials in a marine environment as claimed in claim 8, characterized in that: The comprehensive influence function η(T, H, C, t) of the environmental factors includes: Among them, t0 is the starting time of integration, α′ is the weight of ambient temperature, ω′ is the adjustment factor of ambient temperature, T(τ) is the ambient temperature at time τ, β′ is the weight of ambient humidity, γ′ is the adjustment factor of ambient humidity, H(τ) is the ambient humidity at time τ, δ′ is the weight of seawater salt concentration, C(τ) is the salt concentration of seawater at time τ, fTC is the interaction function between temperature and salt concentration, and φ(t-τ) is the attenuation function, which reflects the decreasing influence of environmental factors on fatigue performance over time.

10. A fatigue performance monitoring system for composite materials in a marine environment as claimed in claim 9, characterized in that: The attenuation function φ(t-τ) includes: φ(t-τ)=exp[-λ″·(t-τ)+μ″·sin(ω″·(t-τ))]·(1+α″′·ln(1+(t-τ))+β″′·(t-τ) p′ ) Among them, λ″ is the first adjustment factor of the attenuation function, μ″ is the second adjustment factor of the attenuation function, ω″ is the third adjustment factor of the attenuation function, α″′ is the fourth adjustment factor of the attenuation function, β″′ is the fifth adjustment factor of the attenuation function, and p′ is the sixth adjustment factor of the attenuation function.

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