A method, system and medium for predicting the bonding performance of carbon fiber reinforced composites and steel materials in a marine environment

Abstract

This application provides a method, system, and medium for predicting the bonding performance of carbon fiber reinforced composite materials to steel in a marine environment, belonging to the field of high-performance composite material applications. The prediction method includes: obtaining a preset baseline performance model of the bonding interface between the carbon fiber reinforced composite material and steel; obtaining an exponential decay model, which is based on seawater exposure factor, air exposure factor, and long-term performance asymptotic values; wherein, the seawater exposure factor characterizes the degree of damage to the bonding interface by seawater, and the air exposure factor characterizes the degree of damage to the bonding interface by air; coupling the exponential decay model with the baseline performance model to obtain a performance degradation model of the bonding interface in a marine environment; and determining the bonding performance of the bonding interface in a marine environment based on the performance degradation model. The method provided by this invention can quantify the long-term degradation effects of the real marine environment and improve the prediction accuracy of the bonding interface performance.

Description

Technical Field

[0001] This invention belongs to the field of high-performance composite material applications, specifically relating to a method, system, and medium for predicting the bonding performance of carbon fiber reinforced composite materials to steel in a marine environment. Background Technology

[0002] Steel structures (such as offshore platforms and cross-sea bridges) are susceptible to corrosion and fatigue damage in marine environments, requiring reinforcement. Carbon fiber reinforced composites are widely used in steel structure reinforcement due to their advantages such as lightweight, high strength, and corrosion resistance.

[0003] However, the bonding interface between carbon fiber reinforced composites and steel is the weakest link in the entire reinforcement system. Water intrusion and corrosion in marine environments significantly reduce interfacial bonding performance, leading to reinforcement failure. Establishing accurate bonding performance prediction models is crucial for quantitative analysis of interfacial mechanical properties. Existing models are mostly based on adhesive layer failure modes, primarily considering adhesive parameters; some models introduce the shear strength of carbon fiber reinforced composite plates to address delamination failure. However, most of these models are based on short-term or ideal environment tests, failing to fully consider the long-term deterioration effects of factors such as seawater exposure duration, temperature changes, wet-dry cycles, and different surface treatment processes on interfacial bonding performance in real marine environments, resulting in insufficient prediction accuracy in actual marine engineering structure reinforcement. Summary of the Invention

[0004] In view of the above problems, this application provides a method, system and medium for predicting the bonding performance of carbon fiber reinforced composite materials to steel in a marine environment, so as to overcome the above problems or at least partially solve the above problems.

[0005] In a first aspect, this application provides a method for predicting the bonding performance of carbon fiber reinforced composite materials to steel in a marine environment, comprising: obtaining a preset benchmark performance model of the bonding interface between the carbon fiber reinforced composite material and steel, wherein the benchmark performance model is used to characterize the bonding performance parameters of the bonding interface under different steel surface treatment conditions, and the bonding performance parameters include maximum shear stress, initial slip, and interfacial fracture energy; obtaining an exponential decay model, wherein the exponential decay model is obtained based on seawater exposure factor, air exposure factor, and long-term performance asymptotic value; wherein the seawater exposure factor characterizes the degree of damage to the bonding interface by seawater, the air exposure factor characterizes the degree of damage to the bonding interface by air, the long-term performance asymptotic value characterizes the stable retention rate of the bonding interface performance with the exposure time tending to a preset duration under the same exposure conditions, and the exponential decay model is used to characterize the decay law of the performance retention rate of the bonding interface; coupling the exponential decay model with the benchmark performance model to obtain a performance degradation model of the bonding interface in a marine environment; and determining the bonding performance of the bonding interface in a marine environment based on the performance degradation model.

[0006] In some embodiments, obtaining an exponential decay model includes: determining the seawater exposure duration and seawater exposure decay coefficient corresponding to the seawater exposure factor, and the air exposure duration and air exposure decay coefficient corresponding to the air exposure factor; multiplying the seawater exposure duration by the seawater exposure decay coefficient to obtain a seawater decay term; multiplying the air exposure duration by the air exposure decay coefficient to obtain an air decay term; adding the seawater decay term and the air decay term to obtain a linear superposition decay term; and using the linear superposition decay term as the exponent of an exponential function and combining it with the long-term performance asymptotic value to obtain the exponential decay model.

[0007] In some embodiments, the exponential decay model is:

[0008] in, For performance retention rate, This represents the asymptotic value for long-term performance. The seawater exposure attenuation coefficient, The air exposure attenuation coefficient, For the duration of seawater exposure, Duration of air exposure.

[0009] In some embodiments, the seawater exposure attenuation coefficient and the air exposure attenuation coefficient are determined by: obtaining performance retention rate test data of the interfacial fracture energy, maximum shear stress, and initial slip of the adhesive interface under different seawater exposure durations and different air exposure durations; based on the performance retention rate test data, fitting a preset objective function with a penalty term to obtain the seawater exposure attenuation coefficient and the air exposure attenuation coefficient; wherein, the objective function characterizes the deviation between the performance retention rate test value and the predicted value of the exponential decay model, and the penalty term is used to characterize the constraint on the proportional relationship between the seawater exposure attenuation coefficient and the air exposure attenuation coefficient.

[0010] In some embodiments, the objective function is:

[0011] in, As a balance factor; For performance retention rate; This represents the asymptotic value for long-term performance. The seawater exposure attenuation coefficient; The air exposure attenuation coefficient; This is a penalty item; j To indicate the first j One measured sample, n This represents the total number of measured data.

[0012] In some embodiments, coupling the exponential decay model with the baseline performance model to obtain a performance degradation model of the adhesive interface in a marine environment includes: obtaining a baseline value of interfacial fracture energy, a baseline value of maximum shear stress, and a baseline value of initial slip in the baseline performance model; based on the exponential decay model, obtaining the performance retention rates of interfacial fracture energy, maximum shear stress, and initial slip corresponding to the seawater exposure duration and the air exposure duration; multiplying the baseline value of interfacial fracture energy by the performance retention rate of interfacial fracture energy to obtain the degraded interfacial fracture energy; multiplying the baseline value of maximum shear stress by the performance retention rate of maximum shear stress to obtain the degraded maximum shear stress; multiplying the baseline value of initial slip by the performance retention rate of initial slip to obtain the degraded initial slip; and obtaining the performance degradation model based on the degraded interfacial fracture energy, the degraded maximum shear stress, and the degraded initial slip.

[0013] In some embodiments, the performance degradation model is:

[0014] in, This represents the interface fracture energy after degradation. This represents the initial slip after degradation; This represents the maximum shear stress after degradation. The interfacial fracture energy retention rate; For slip performance retention rate; This represents the maximum shear stress performance retention rate. Shear modulus of adhesive; This refers to the thickness of the adhesive. This refers to the interlaminar shear dissipation energy of the adhesive. The elastic modulus of the adhesive; The tensile strength of the adhesive; and These are coefficients related to the surface treatment conditions of steel.

[0015] A second aspect of this application provides a system for predicting the bonding performance of carbon fiber reinforced composite materials to steel in a marine environment, comprising: The first acquisition module is used to acquire a preset benchmark performance model of the bonding interface between carbon fiber reinforced composite material and steel. The benchmark performance model is used to characterize the bonding performance parameters of the bonding interface under different steel surface treatment conditions. The bonding performance parameters include maximum shear stress, initial slip, and interface fracture energy. The second acquisition module is used to acquire an exponential decay model, which is based on the seawater exposure factor, the air exposure factor, and the long-term performance asymptotic value. The seawater exposure factor represents the degree of damage to the bonding interface by seawater, the air exposure factor represents the degree of damage to the bonding interface by air, and the long-term performance asymptotic value represents the stable retention rate of the bonding interface performance as the exposure time tends to a preset duration under the same exposure conditions. The exponential decay model is used to characterize the decay law of the performance retention rate of the bonding interface. The third acquisition module is used to couple the exponential decay model with the benchmark performance model to obtain the performance degradation model of the adhesive interface in a marine environment. The determination module is used to determine the adhesive performance of the adhesive interface in a marine environment based on the performance degradation model.

[0016] A third aspect of this application provides a computer storage medium, the storage medium including a memory and a processor, the processor being used to execute the steps of the prediction method described in the first aspect of this application.

[0017] The method for predicting the bonding performance of carbon fiber reinforced composite materials to steel in a marine environment, as provided in this embodiment, can obtain bonding performance parameters to characterize the bonding interface under different steel surface treatment conditions. Since the bonding performance parameters include maximum shear stress, initial slip, and interfacial fracture energy, and an exponential decay model constructed based on seawater exposure factor, air exposure factor, and long-term performance asymptotic values, the damage degree of the bonding interface caused by seawater and air is linearly superimposed. Combined with the stable retention rate of the bonding interface performance under the same exposure conditions as the exposure time tends towards a preset duration, the method achieves an accurate characterization of the decay law of the bonding interface performance retention rate. By coupling the exponential decay model with the benchmark performance model, a performance degradation model that comprehensively reflects the effects of seawater exposure, air exposure, and surface treatment conditions is obtained. Based on this model, the bonding performance of the bonding interface is determined. This method can decouple marine environmental factors and introduce long-term performance asymptotic values, solving the problem that existing models cannot quantify the long-term deterioration effects of the real marine environment, improving the prediction accuracy of the bonding interface performance, and providing reliable technical support for the reinforcement design of marine engineering structures. Attached Figure Description

[0018] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments of this application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a flowchart illustrating the steps of a method for predicting the bonding performance of carbon fiber reinforced composite materials to steel in a marine environment, as provided in an embodiment of this application. Figure 2 This is a schematic diagram of the fitting results of the characteristic parameters of the bonding interface under room temperature exposure conditions provided in an embodiment of this application; Figure 3 This is a schematic diagram of the fitting results of the characteristic parameters of the bonding interface under natural exposure conditions provided in an embodiment of this application; Figure 4 This is a schematic diagram of a system for predicting the bonding performance of carbon fiber reinforced composite materials to steel in a marine environment, provided in an embodiment of this application. Detailed Implementation

[0020] Exemplary embodiments of this application will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of this application are shown in the drawings, it should be understood that this application may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of this application and to fully convey the scope of this application to those skilled in the art.

[0021] Figure 1 This is a flowchart illustrating the steps of a method for predicting the bonding performance of carbon fiber reinforced composite materials to steel in a marine environment, as provided in an embodiment of this application. Figure 1 It can be seen that the process includes: Step S101: Obtain a preset benchmark performance model of the bonding interface between carbon fiber reinforced composite material and steel. The benchmark performance model is used to characterize the bonding performance parameters of the bonding interface under different steel surface treatment conditions. The bonding performance parameters include maximum shear stress, initial slip, and interface fracture energy.

[0022] In this embodiment, different steel surface treatment conditions include at least one of mechanical polishing, sandblasting, or silane pretreatment to obtain a preset benchmark performance model of the bonding interface between the carbon fiber reinforced composite material and the steel. The benchmark performance model is a benchmark performance model that has not been exposed to seawater. In this embodiment, the benchmark performance model is:

[0023] in, This refers to the interfacial fracture energy. This is the initial slip amount; This represents the maximum shear stress. This refers to the thickness of the adhesive. This refers to the interlaminar shear dissipation energy of the adhesive. The elastic modulus of the adhesive; The tensile strength of the adhesive; Shear modulus of adhesive; and A coefficient related to surface treatment conditions, under sandblasting conditions, , Under silane pretreatment conditions: , For mechanically polished specimens: , z represents the grit size of the sandpaper used in the mechanical polishing process.

[0024] By inputting the adhesive thickness, interlaminar shear dissipation energy of the adhesive, coefficients corresponding to different steel surface treatment conditions, and adhesive shear modulus into the benchmark model, the maximum shear stress, initial slip, and interfacial fracture energy corresponding to mechanical polishing, sandblasting, or silane pretreatment conditions can be obtained, i.e., the adhesive performance parameters.

[0025] Step S102: Obtain the exponential decay model, which is based on the seawater exposure factor, the air exposure factor, and the long-term performance asymptotic value. The seawater exposure factor characterizes the degree of damage to the bonding interface caused by seawater, the air exposure factor characterizes the degree of damage to the bonding interface caused by air, and the long-term performance asymptotic value characterizes the stable retention rate of the bonding interface performance as the exposure time tends to the preset duration under the same exposure conditions. The exponential decay model is used to characterize the decay law of the performance retention rate of the bonding interface.

[0026] In this embodiment, the exponential decay model is used to characterize the decay law of the performance retention rate of the adhesive interface. It can adopt a decoupled exponential function form to decompose the complex dry-wet coupling environment into the linear superposition effect of two independent factors, seawater exposure and air exposure, and describe the decay law of the performance retention rate of the adhesive interface performance parameters with the duration of exposure. Since the exponential decay model is based on the seawater exposure factor, air exposure factor, and long-term performance asymptotic value, the long-term performance asymptotic value represents the stable retention rate of the adhesive interface performance as the exposure time tends to a preset duration under the same exposure conditions. Specifically, it can be the minimum performance retention rate among all test data under the same exposure conditions. The preset duration can be one year or several months, which can be selected according to actual needs. This embodiment does not limit it. The seawater exposure factor can be the product of the seawater exposure duration and the seawater exposure decay coefficient, representing the degree of damage to the adhesive interface by seawater. The air exposure factor can be the product of the air exposure duration and the air exposure decay coefficient, representing the degree of damage to the adhesive interface by air. By linearly superimposing the seawater exposure factor and the air exposure factor, the decay rate of the performance retention rate is jointly controlled. Therefore, the exponential decay model can represent the decay law of the performance retention rate of the interface fracture energy, maximum shear stress, and initial slip.

[0027] Step S103: Couple the exponential decay model with the baseline performance model to obtain the performance degradation model of the bonding interface in a marine environment.

[0028] In this embodiment, coupling the exponential decay model with the baseline performance model allows for the correction of the adhesive performance parameters in the baseline performance model, thereby obtaining a performance degradation model that reflects the long-term deterioration effects of the marine environment. The adhesive performance parameters are interfacial fracture energy, maximum shear stress, and initial slip. The interfacial fracture energy is the energy dissipated per unit area during the interface debonding process, the maximum shear stress is the maximum shear stress that the interface can withstand before failure, and the initial slip is the critical slip amount when the interface transitions from the elastic stage to the damage stage.

[0029] The specific process for correcting the bonding performance parameters is as follows: First, the reference values ​​for interfacial fracture energy, maximum shear stress, and initial slip of the bonding interface in the initial state are extracted from the reference performance model. These reference values ​​represent the bonding performance parameters of the bonding interface under different steel surface treatments without exposure to a marine environment.

[0030] Then, using the exponential decay model, the performance retention rates of interfacial fracture energy, maximum shear stress, and initial slip are calculated for given seawater and air exposure durations, respectively. These performance retention rates quantify the degree of decay of each performance parameter over time under the combined effects of seawater and air exposure. Finally, the performance retention rates of interfacial fracture energy, maximum shear stress, and initial slip are multiplied by their corresponding benchmark values ​​(interfacial fracture energy benchmark, maximum shear stress benchmark, and initial slip benchmark) to obtain the interfacial fracture energy, maximum shear stress, and initial slip after exposure to the marine environment, thereby obtaining the performance degradation model.

[0031] Step S104: Based on the performance degradation model, determine the bonding performance of the bonding interface in a marine environment.

[0032] In this embodiment, since the performance degradation model couples the baseline performance model and the exponential decay model, it can simultaneously reflect the influence of different steel surface treatment conditions (mechanical polishing, sandblasting, silane pretreatment) on the initial bonding performance, as well as the long-term performance degradation law under the combined effect of seawater exposure and air exposure. Therefore, by inputting steel surface treatment conditions, adhesive parameters (thickness, shear modulus, interlaminar shear dissipation energy, tensile strength), seawater exposure time and air exposure time into the performance degradation model, the performance degradation model can output the interfacial fracture energy, maximum shear stress and initial slip at the exposure time in the marine environment, thereby realizing the long-term performance prediction of the bonding interface.

[0033] In some embodiments, obtaining the exponential decay model includes: determining the seawater exposure duration and seawater exposure decay coefficient corresponding to the seawater exposure factor, and the air exposure duration and air exposure decay coefficient corresponding to the air exposure factor; multiplying the seawater exposure duration and the seawater exposure decay coefficient to obtain the seawater decay term; multiplying the air exposure duration and the air exposure decay coefficient to obtain the air decay term; adding the seawater decay term and the air decay term to obtain the linear superposition decay term; using the linear superposition decay term as the exponent of the exponential function and combining it with the long-term performance asymptotic value to obtain the exponential decay model.

[0034] In this embodiment, the seawater exposure duration and seawater exposure attenuation coefficient corresponding to the seawater exposure factor, and the air exposure duration and air exposure attenuation coefficient corresponding to the air exposure factor are determined. The seawater exposure duration is the actual exposure time of the bonding interface in seawater, and the air exposure duration is the actual exposure time of the bonding interface in air. The air exposure attenuation coefficient and the seawater exposure attenuation coefficient can be obtained by fitting experimental data, respectively characterizing the degradation rate of the bonding interface performance caused by the seawater and air environments per unit time. Multiplying the seawater exposure duration by the seawater exposure attenuation coefficient yields the seawater attenuation term; multiplying the air exposure duration by the air exposure attenuation coefficient yields the air attenuation term. The seawater attenuation term and the air attenuation term quantify the cumulative damage caused by the individual effects of seawater and air on the bonding interface performance. Furthermore, adding the seawater attenuation term and the air attenuation term yields the linear superposition attenuation term, which decomposes the complex marine environmental effects into the sum of the contributions of two independent factors, thereby decoupling the coupling effect. Finally, combining the linear superposition attenuation term as the exponent of an exponential function with the asymptotic value of long-term performance yields the exponential attenuation model, which is:

[0035] in, For performance retention rate; This represents the asymptotic value for long-term performance. The seawater exposure attenuation coefficient; The air exposure attenuation coefficient; Duration of seawater exposure; Duration of air exposure.

[0036] The exponential decay model provided in this embodiment can control the exponential decay rate by linearly superimposing decay terms, and can accurately describe the change law of interface performance as the exposure time of seawater and air increases, and eventually tends to the long-term performance asymptotic value.

[0037] In some embodiments, the seawater exposure attenuation coefficient and the air exposure attenuation coefficient are determined by: obtaining performance retention rate test data of interfacial fracture energy, maximum shear stress, and initial slip at the bonded interface under different seawater exposure durations and different air exposure durations; based on the performance retention rate test data, fitting a preset objective function with a penalty term to obtain the seawater exposure attenuation coefficient and the air exposure attenuation coefficient; wherein, the objective function characterizes the deviation between the performance retention rate test value and the predicted value of the exponential decay model, and the penalty term is used to characterize the constraint on the proportional relationship between the seawater exposure attenuation coefficient and the air exposure attenuation coefficient.

[0038] In this embodiment, test data on the performance retention rate of the bonding interface, including interfacial fracture energy, maximum shear stress, and initial slip, were first obtained under different seawater exposure durations and different air exposure durations. The test data can be set with different seawater exposure durations (e.g., 4 months, 8 months, 12 months) and different air exposure durations (e.g., 0 months, 2 months, 6 months) to cover different marine environmental exposure conditions. Furthermore, by testing specimens under different surface treatment conditions (e.g., mechanical polishing, sandblasting, silane pretreatment), measured values ​​of the performance retention rate of interfacial fracture energy, maximum shear stress, and initial slip under each condition were obtained.

[0039] Then, based on the aforementioned performance retention rate test data, a pre-defined objective function with a penalty term is fitted. The introduction of the penalty term ensures that the obtained attenuation coefficients are of similar order of magnitude, thereby determining the values ​​of the seawater exposure attenuation coefficient and the air exposure attenuation coefficient. The objective function is used to characterize the deviation between the performance retention rate test values ​​and the predicted values ​​of the exponential decay model. That is, an optimization algorithm is used to find a set of optimal attenuation coefficients that minimize the overall deviation between the predicted values ​​of the exponential decay model and the test values.

[0040] In this embodiment, the objective function consists of two parts: the residual sum of squares and a penalty term. The residual sum of squares is the sum of the squares of the differences between the experimental value of performance retention rate and the predicted value of the exponential decay model, which is used to measure the prediction accuracy of the model. The penalty term is used to characterize the constraint on the proportional relationship between the seawater exposure decay coefficient and the air exposure decay coefficient. Specifically, it is implemented by introducing a proportional penalty factor. The proportional penalty factor takes the minimum value when the two decay coefficients are equal, and the larger the deviation, the larger the value. This constrains the two decay coefficients to be of similar order of magnitude, avoiding solutions that violate physical meaning due to data discrepancies or fitting algorithms, where one coefficient is much larger than the other.

[0041] During the fitting process, constraints can be set to limit the seawater exposure attenuation coefficient and the air exposure attenuation coefficient to between 0.001 and 1, ensuring that the fitting result is positive and within a reasonable range. Simultaneously, a balance factor is introduced to adjust the weight of the penalty term in the objective function, balancing the relationship between model fitting accuracy and the physical reasonableness of the coefficients.

[0042] The objective function in this embodiment is:

[0043] in, As a balancing factor, it controls the strength of the penalty term; For performance retention rate; This represents the asymptotic value for long-term performance. The seawater exposure attenuation coefficient; The air exposure attenuation coefficient; This is a penalty item; jTo indicate the first j One measured sample, n This represents the total number of measured data points. Constraint: 0.001 ≤ ≤1, 0.001≤ ≤1.

[0044] For example, Figure 2 This is a schematic diagram of the fitting results of the characteristic parameters of the adhesive interface under room temperature exposure conditions, provided in an embodiment of this application. Figure 3 This is a schematic diagram of the fitting results of the characteristic parameters of the bonding interface under natural exposure conditions provided in an embodiment of this application. Figure 2 and Figure 3 In this context, P, G, and GS represent three steel surface treatment methods: mechanical polishing, sandblasting, and silane pretreatment, respectively. Figure 2 and Figure 3 As can be seen, most of the data achieved a good fit. Especially regarding the important interfacial fracture energy, the goodness of fit is [high / low]. R 2 The mean value reached 0.91. A small number of data points for maximum shear stress and maximum slip showed poor fitting results, for example... Figure 2 (b) Maximum shear stress of the specimen treated with sandblasting R 2 It is only 0.471. Figure 2 and Figure 3 The fitting results can be found in Table 1.

[0045] Table 1 - Fitting results for room temperature environment and natural environment

[0046] As shown in Table 1, for specimens treated with sandblasting, the air exposure term has a higher degradation coefficient than the seawater exposure term, indicating that the former has a more significant impact on interface parameters. Conversely, in terms of fracture energy, seawater exposure has a more significant impact on sandblasted and silane-pretreated specimens compared to air exposure.

[0047] In some embodiments, the exponential decay model is coupled with a baseline performance model to obtain a performance degradation model of the bonded interface in a marine environment, including: obtaining the baseline values ​​of interface fracture energy, maximum shear stress, and initial slip in the baseline performance model; based on the exponential decay model, obtaining the performance retention rates of interface fracture energy, maximum shear stress, and initial slip corresponding to seawater exposure time and air exposure time; multiplying the baseline value of interface fracture energy by the performance retention rate of interface fracture energy to obtain the degraded interface fracture energy; multiplying the baseline value of maximum shear stress by the performance retention rate of maximum shear stress to obtain the degraded maximum shear stress; multiplying the baseline value of initial slip by the performance retention rate of initial slip to obtain the degraded initial slip; and obtaining a performance degradation model based on the degraded interface fracture energy, the degraded maximum shear stress, and the degraded initial slip.

[0048] In this embodiment, the process of coupling the exponential decay model with the baseline performance model to obtain the performance degradation model is implemented through the following steps: First, the baseline values ​​of the performance parameters of the bond interface in the initial state are extracted from the baseline performance model, including the baseline values ​​of the interface fracture energy, maximum shear stress, and initial slip. These baseline values ​​represent the initial mechanical properties of the bond interface before exposure to the marine environment under different steel surface treatment conditions (such as mechanical polishing, sandblasting, or silane pretreatment). Then, based on the exponential decay model, for a given seawater exposure time and air exposure time, the performance retention rates of the interface fracture energy, maximum shear stress, and initial slip are calculated respectively. These performance retention rates are obtained through the exponential decay model. Different performance parameters correspond to different seawater exposure decay coefficients and air exposure decay coefficients, which are values ​​obtained by fitting experimental data. Then, the above three performance retention rates are multiplied by their corresponding baseline values ​​to obtain the degradation performance parameters after exposure to the marine environment. Finally, a performance degradation model is constructed based on the above three degraded performance parameters, using the expression method of the baseline performance model, that is, the performance degradation model is:

[0049] in, This represents the interface fracture energy after degradation. This represents the initial slip after degradation; This represents the maximum shear stress after degradation. The interfacial fracture energy retention rate; For slip performance retention rate; This represents the maximum shear stress performance retention rate. Shear modulus of adhesive; This refers to the thickness of the adhesive. This refers to the interlaminar shear dissipation energy of the adhesive. The tensile strength of the adhesive; and These are coefficients related to the surface treatment conditions of steel.

[0050] As can be seen from the above performance degradation model, the interfacial fracture energy, maximum shear stress and initial slip have been replaced with degradation values ​​corrected by environmental factors, which can be directly used to describe the bonding performance of the bonding interface under given seawater exposure time and air exposure time.

[0051] Figure 4 This is a schematic diagram of a system for predicting the bonding performance of carbon fiber reinforced composite materials to steel in a marine environment, provided in an embodiment of this application. Figure 4 It can be seen that the system includes: The first acquisition module 401 is used to acquire a preset benchmark performance model of the bonding interface between carbon fiber reinforced composite material and steel. The benchmark performance model is used to characterize the bonding performance parameters of the bonding interface under different steel surface treatment conditions. The bonding performance parameters include maximum shear stress, initial slip, and interface fracture energy. The second acquisition module 402 is used to acquire the exponential decay model, which is based on the seawater exposure factor, the air exposure factor, and the long-term performance asymptotic value. The seawater exposure factor characterizes the degree of damage to the bonding interface by seawater, the air exposure factor characterizes the degree of damage to the bonding interface by air, and the long-term performance asymptotic value characterizes the stable retention rate of the bonding interface performance as the exposure time tends to a preset duration under the same exposure conditions. The exponential decay model is used to characterize the decay law of the performance retention rate of the bonding interface. The third acquisition module 403 is used to couple the exponential decay model with the benchmark performance model to obtain the performance degradation model of the adhesive interface in a marine environment. Module 404 is used to determine the bonding performance of the bonding interface in a marine environment based on a performance degradation model.

[0052] This application also provides a computer storage medium, which includes a memory and a processor, wherein the processor is used to execute the steps of the prediction method described in this application.

[0053] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0054] Embodiments of the present invention are described with reference to flowchart illustrations and / or block diagrams of methods and apparatus according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0055] Although preferred embodiments of the present invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of the present invention.

[0056] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes said element.

[0057] The present invention provides a detailed description of a method, system, and medium for predicting the bonding performance of carbon fiber reinforced composite materials to steel in a marine environment. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, those skilled in the art will recognize that there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for predicting the bonding performance of carbon fiber reinforced composite materials to steel in a marine environment, characterized in that, include: A preset benchmark performance model of the bonding interface between carbon fiber reinforced composite material and steel is obtained. The benchmark performance model is used to characterize the bonding performance parameters of the bonding interface under different steel surface treatment conditions. The bonding performance parameters include maximum shear stress, initial slip, and interface fracture energy. An exponential decay model is obtained, which is based on the seawater exposure factor, the air exposure factor, and the long-term performance asymptotic value. The seawater exposure factor characterizes the degree of damage to the bonding interface by seawater, the air exposure factor characterizes the degree of damage to the bonding interface by air, and the long-term performance asymptotic value characterizes the stable retention rate of the bonding interface performance with the exposure time tending to a preset duration under the same exposure conditions. The exponential decay model is used to characterize the decay law of the performance retention rate of the bonding interface. By coupling the exponential decay model with the baseline performance model, a performance degradation model of the adhesive interface in a marine environment is obtained. Based on the performance degradation model, the adhesive performance of the bonding interface in a marine environment is determined.

2. The prediction method according to claim 1, characterized in that, To obtain the exponential decay model, including: Determine the seawater exposure duration and seawater exposure attenuation coefficient corresponding to the seawater exposure factor, and the air exposure duration and air exposure attenuation coefficient corresponding to the air exposure factor; Multiply the seawater exposure duration by the seawater exposure attenuation coefficient to obtain the seawater attenuation term; Multiply the air exposure duration by the air exposure attenuation coefficient to obtain the air attenuation term; Add the seawater attenuation term to the air attenuation term to obtain a linear superposition attenuation term; The linear superposition decay term is used as the exponent of the exponential function and combined with the long-term performance asymptotic value to obtain the exponential decay model.

3. The prediction method according to claim 1, characterized in that, The exponential decay model is as follows: in, For performance retention rate, This represents the asymptotic value for long-term performance. The seawater exposure attenuation coefficient, The air exposure attenuation coefficient, For the duration of seawater exposure, Duration of air exposure.

4. The prediction method according to claim 2, characterized in that, The seawater exposure attenuation coefficient and the air exposure attenuation coefficient are determined in the following manner: Test data on the interfacial fracture energy, maximum shear stress, and initial slip retention of the bonding interface were obtained under different seawater exposure durations and different air exposure durations. Based on the performance retention rate test data, a preset objective function with a penalty term is fitted to obtain the seawater exposure attenuation coefficient and the air exposure attenuation coefficient; wherein, the objective function characterizes the deviation between the performance retention rate test value and the predicted value of the exponential decay model, and the penalty term is used to characterize the constraint on the proportional relationship between the seawater exposure attenuation coefficient and the air exposure attenuation coefficient.

5. The prediction method according to claim 4, characterized in that, The objective function is: in, As a balance factor; For performance retention rate; This represents the asymptotic value for long-term performance. The seawater exposure attenuation coefficient; The air exposure attenuation coefficient; This is a penalty item; j To indicate the first j One measured sample, n This represents the total number of measured data.

6. The prediction method according to claim 1, characterized in that, The step of coupling the exponential decay model with the baseline performance model to obtain the performance degradation model of the adhesive interface in a marine environment includes: Obtain the benchmark values ​​of interface fracture energy, maximum shear stress, and initial slip in the benchmark performance model; Based on the exponential decay model, the performance retention rates of interfacial fracture energy, maximum shear stress, and initial slip are obtained for the seawater exposure time and the air exposure time, respectively. Multiply the interface fracture energy baseline value by the interface fracture energy performance retention rate to obtain the degraded interface fracture energy. Multiply the maximum shear stress reference value by the maximum shear stress performance retention rate to obtain the degraded maximum shear stress; Multiply the initial slip reference value by the initial slip performance retention rate to obtain the degraded initial slip; The performance degradation model is obtained based on the degraded interface fracture energy, the degraded maximum shear stress, and the degraded initial slip.

7. The prediction method according to claim 6, characterized in that, The performance degradation model is as follows: in, This represents the interface fracture energy after degradation. This represents the initial slip after degradation; This represents the maximum shear stress after degradation. The interfacial fracture energy retention rate; For slip performance retention rate; This represents the maximum shear stress performance retention rate. Shear modulus of adhesive; This refers to the thickness of the adhesive. This refers to the interlaminar shear dissipation energy of the adhesive. The elastic modulus of the adhesive; The tensile strength of the adhesive; and These are coefficients related to the surface treatment conditions of steel.

8. A system for predicting the bonding performance of carbon fiber reinforced composite materials to steel in a marine environment, characterized in that, include: The first acquisition module is used to acquire a preset benchmark performance model of the bonding interface between carbon fiber reinforced composite material and steel. The benchmark performance model is used to characterize the bonding performance parameters of the bonding interface under different steel surface treatment conditions. The bonding performance parameters include maximum shear stress, initial slip, and interface fracture energy. The second acquisition module is used to acquire an exponential decay model, which is based on the seawater exposure factor, the air exposure factor, and the long-term performance asymptotic value. The seawater exposure factor represents the degree of damage to the bonding interface by seawater, the air exposure factor represents the degree of damage to the bonding interface by air, and the long-term performance asymptotic value represents the stable retention rate of the bonding interface performance as the exposure time tends to a preset duration under the same exposure conditions. The exponential decay model is used to characterize the decay law of the performance retention rate of the bonding interface. The third acquisition module is used to couple the exponential decay model with the benchmark performance model to obtain the performance degradation model of the adhesive interface in a marine environment. The determination module is used to determine the adhesive performance of the adhesive interface in a marine environment based on the performance degradation model.

9. A computer storage medium, characterized in that, The storage medium includes a memory and a processor, the processor being used to execute the steps of the prediction method according to any one of claims 1-7.

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