Method, device and electronic equipment for predicting fatigue life of a gfrp-rc beam

Abstract

The present application relates to a kind of method, device and electronic equipment for predicting GFRP-RC beam fatigue life, method includes: obtaining the limit bearing capacity before the destruction of GFRP-RC beam and the maximum deflection before the destruction of the GFRP-RC beam, the limit bearing capacity and the maximum deflection are by the GFRP-RC beam is obtained by three-point bending static loading test, obtain the initial fatigue deflection value of the GFRP-RC beam, the initial fatigue deflection value is by the GFRP-RC beam is carried out fatigue stress level cyclic loading test, and the test result is carried out initial deflection identification and obtains, based on the maximum deflection and the initial fatigue deflection value, input to the preset CEB-FIP fatigue life prediction model, obtain the GFRP-RC beam fatigue life.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of bridge structure safety, and in particular to a method and device for predicting the fatigue life of a GFRP-RC beam and an electronic device. BACKGROUND

[0002] The corrosion performance of reinforced concrete structures seriously hinders the development of civil engineering, and a large amount of maintenance costs are consumed every year. In some special scenarios, the presence of steel bars can adversely affect the performance of concrete structures. When reinforced concrete structures are used in marine engineering, bridge structures and humid underground engineering, they not only have to withstand the corrosion of water molecules and chloride ions, but also have to withstand the fatigue effect from seawater or vehicle loads. Studies have shown that the combined effect of fatigue load and environmental corrosion greatly accelerates the degradation rate of steel bars, thereby causing the service life of concrete structures to be reduced and the maintenance costs to be increased.

[0003] The above special corrosion environments have little impact on GFRP-RC structures. By introducing GFRP bars into concrete structures, the environmental durability of the structures can be effectively improved, and economic problems caused by cathodic protection, reduction of internal chloride ion content in concrete, reduction of winter deicing agent use, and reduction of surface brushing of protective layers can be effectively solved.

[0004] In summary, in order to better adapt to some special civil engineering scenarios, promoting pure GFRP bar reinforced concrete structures is one of the best solutions. However, with the development and iteration of concrete materials and GFRP bar materials, it is often necessary to study the performance of GFRP-RC beams composed of new materials. Therefore, the fatigue performance of GFRP-RC structures is one of the necessary research topics. Fatigue tests usually consume a large amount of research funds, and from the perspective of saving funds, using a prediction model to predict the fatigue life of the structure is a common means. However, the current research on the prediction model of the fatigue performance of GFRP-RC beams is not perfect enough, and there are still few models that can accurately predict the fatigue performance of GFRP-RC beams, and there is a lack of a systematic method for predicting the fatigue life of GFRP-RC beams. SUMMARY

[0005] Therefore, it is necessary to provide a method, device, electronic device and storage medium for predicting the fatigue life of a GFRP-RC beam, which can economically, quickly and simply obtain fatigue life information of a GFRP-RC beam, and fill the gap in the theoretical model for predicting the fatigue life of a GFRP-RC beam.

[0006] To achieve the above purpose, the present application provides the following technical solutions:

[0007] In a first aspect, the present application provides a method for predicting fatigue life of a GFRP-RC beam, comprising:

[0008] obtaining ultimate bearing capacity of the GFRP-RC beam before failure and maximum deflection of the GFRP-RC beam before failure, the ultimate bearing capacity and the maximum deflection being obtained by performing a three-point bending static loading test on the GFRP-RC beam;

[0009] obtaining an initial fatigue deflection value of the GFRP-RC beam, the initial fatigue deflection value being obtained by performing a cyclic loading test at a fatigue stress level on the GFRP-RC beam and identifying an initial deflection from a test result;

[0010] inputting the maximum deflection and the initial fatigue deflection value into a preset CEB-FIP fatigue life prediction model to obtain the fatigue life of the GFRP-RC beam.

[0011] Further, the cyclic loading test is performed N times, and N is in a range of [5, 10].

[0012] Further, the obtaining of the initial fatigue deflection value of the GFRP-RC beam comprises:

[0013] obtaining a test result of the cyclic loading test at the fatigue stress level on the GFRP-RC beam, the test result being a curve with load of the GFRP-RC beam as a horizontal coordinate and displacement of the GFRP-RC beam as a vertical coordinate;

[0014] identifying an initial deflection from the curve to obtain the initial fatigue deflection value.

[0015] Further, the identifying of the initial deflection from the curve to obtain the initial fatigue deflection value comprises:

[0016] identifying a displacement variation interval of the GFRP-RC beam from the curve;

[0017] determining displacement of the GFRP-RC beam corresponding to the minimum displacement variation interval as the initial fatigue deflection value.

[0018] Further, the CEB-FIP fatigue life prediction model is determined based on the following formula:

[0019]

[0020] wherein n is the fatigue life of the GFRP-RC beam, f n is the maximum deflection of the GFRP-RC beam before failure, and f0 is the initial fatigue deflection value of the GFRP-RC beam.

[0021] Further, the three-point bending static loading test comprises: setting the number of GFRP-RC beams for the static loading test as W, and W is in the range of [1, 3].

[0022] In a second aspect, the present application further provides a device for predicting the fatigue life of a GFRP-RC beam, comprising:

[0023] The first obtaining module is configured to obtain the ultimate bearing capacity of the GFRP-RC beam before failure and the maximum deflection of the GFRP-RC beam before failure, wherein the ultimate bearing capacity and the maximum deflection are obtained by performing a three-point bending static loading test on the GFRP-RC beam;

[0024] The second obtaining module is configured to obtain the initial fatigue deflection value of the GFRP-RC beam, wherein the initial fatigue deflection value is obtained by performing a fatigue stress level cyclic loading test on the GFRP-RC beam and identifying the initial deflection from the test results;

[0025] The predicting module is configured to input the ultimate deflection value and the initial fatigue deflection value into a preset CEB-FIP fatigue life prediction model to obtain the fatigue life of the GFRP-RC beam.

[0026] Further, the second obtaining module further comprises:

[0027] The test result obtaining unit is configured to obtain the test results of the fatigue stress level cyclic loading test on the GFRP-RC beam, wherein the test results are a curve with the load of the GFRP-RC beam as the horizontal coordinate and the displacement of the GFRP-RC beam as the vertical coordinate;

[0028] The deflection identifying unit is configured to identify the initial deflection from the curve to obtain the initial fatigue deflection value.

[0029] In a third aspect, the present application further provides an electronic device configured to execute the program stored in the memory to implement the steps in the method for predicting the fatigue life of a GFRP-RC beam according to any one of the above implementation manners.

[0030] In a fourth aspect, the present application further provides a transitory computer-readable storage medium configured to store a computer program, which can implement the steps in the method for predicting the fatigue life of a GFRP-RC beam according to any one of the above implementation manners.

[0031] The present invention provides a method, apparatus, electronic device, and storage medium for predicting the fatigue life of GFRP-RC beams. These methods involve obtaining the ultimate bearing capacity and maximum deflection of a GFRP-RC beam before failure, obtained by subjecting the beam to a three-point static bending loading test. Initial fatigue deflection values ​​are obtained by subjecting the beam to a cyclic loading test at fatigue stress levels and identifying initial deflection based on the test results. The maximum deflection and initial fatigue deflection values ​​are then input into a pre-defined CEB-FIP fatigue life prediction model to determine the fatigue life of the GFRP-RC beam. Compared to existing GFRP-RC beam fatigue performance prediction models, the present invention provides an economical, rapid, and simple method for obtaining GFRP-RC beam fatigue life information, filling the gap in theoretical models for predicting GFRP-RC beam fatigue life. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0033] Figure 1 A flow chart of an embodiment of a method for predicting the fatigue life of a GFRP-RC beam provided by the present invention;

[0034] Figure 2 A schematic diagram of a three-point bending static loading test of an embodiment of a method for predicting the fatigue life of a GFRP-RC beam provided by the present invention;

[0035] Figure 3 A schematic structural diagram of an embodiment of a device for predicting fatigue life of GFRP-RC beams provided by the present invention;

[0036] Figure 4 This is a schematic structural diagram of an embodiment of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0037] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making any creative efforts shall fall within the scope of protection of the present invention.

[0038] In the description of the embodiments of the present application, the meaning of "a plurality of" is two or more, unless otherwise specified.

[0039] The terms "comprising" and "having" and any variations thereof in the embodiments of the present application are intended to cover the inclusion not the exclusion of, for example, a process, method, apparatus, product, or equipment that includes a series of steps or modules, which is not necessarily limited to those steps or modules clearly listed, but can include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or equipment.

[0040] The naming or numbering of the steps appearing in the embodiments of the present application does not mean that the steps in the method flow must be performed in the time / logical order indicated by the naming or numbering. The flow steps that have been named or numbered can change the order of execution according to the technical purpose to be achieved, as long as the same or similar technical effects can be achieved.

[0041] Reference to "embodiments" herein means that the specific features, structures, or characteristics described in connection with the embodiments can be included in at least one embodiment of the present application. The phrase appears at various places in the specification does not necessarily all refer to the same embodiments, nor is it necessarily independent or alternative embodiments to other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0042] The present application provides a method, device, electronic equipment and storage medium for predicting the fatigue life of a GFRP-RC beam, which are described below respectively.

[0043] In combination with Figure 1 and Figure 2 As shown in the method flowchart and three-point bending static loading test schematic diagram of an embodiment of the method for predicting the fatigue life of a GFRP-RC (Glass fiber reinforced polymer-reinforced concrete, fiber reinforced composite material bar-reinforced concrete) beam provided by the present application, the method comprises:

[0044] S110, obtaining the ultimate bearing capacity of the GFRP-RC beam before failure and the maximum deflection of the GFRP-RC beam before failure, the ultimate bearing capacity and the maximum deflection being obtained by performing a three-point bending static loading test on the GFRP-RC beam;

[0045] S120, obtaining the initial fatigue deflection value of the GFRP-RC beam, the initial fatigue deflection value being obtained by performing a fatigue stress level cyclic loading test on the GFRP-RC beam and identifying the initial deflection from the test results;

[0046] S130, inputting the maximum deflection and the initial fatigue deflection value to a preset CEB-FIP fatigue life prediction model to obtain the fatigue life of the GFRP-RC beam.

[0047] It can be understood that, compared with the existing prediction model of the fatigue performance of the GFRP-RC beam, the present application proposes an economic, fast and simple method for obtaining the fatigue life information of the GFRP-RC beam, fills the gap of the theoretical model in predicting the fatigue life of the GFRP-RC beam, and mainly uses the static test results and a small amount of data under cyclic loading to predict the fatigue performance of the GFRP-RC beam, so as to realize the approximate prediction of the fatigue performance of the GFRP-RC beam from the perspective of the theoretical model.

[0048] In step S110, a three-point bending static loading test is performed, and the number of GFRP-RC beams used for the static loading test is W, and W is in the range of [1, 3].

[0049] It can be understood that the three-point bending static loading test is to place a sample with a rectangular or circular cross section on a bending device, adjust the span, and load the sample for bending test until a specified bending degree is reached or fracture occurs. The ultimate bearing capacity of the GFRP-RC beam before failure can be detected by the three-point bending static loading test, and the maximum deflection of the GFRP-RC beam before failure is also detected by the three-point bending static loading test. The maximum deflection is defined as the safety limit value of the deflection deformation of the GFRP-RC beam under the action of the fatigue cyclic load.

[0050] In step S120, the number of cyclic loading tests is N, and N is in the range of [5, 10], and the initial fatigue deflection value of the GFRP-RC beam is determined by the following method:

[0051] S121: Obtain the test results of the cyclic loading test of the GFRP-RC beam under the fatigue stress level, and the test results are a curve with the load of the GFRP-RC beam as the horizontal coordinate and the displacement of the GFRP-RC beam as the vertical coordinate.

[0052] S122: Identifying the initial deflection of the curve to obtain the displacement variation interval of the GFRP-RC beam, and determining the displacement of the GFRP-RC beam corresponding to the minimum displacement variation interval as the initial fatigue deflection value.

[0053] It can be understood that the deflection refers to: the linear displacement of the axis of the rod in the direction perpendicular to the axis or the linear displacement of the middle surface in the plate shell in the direction perpendicular to the middle surface when subjected to force or non-uniform temperature change, the deflection of the beam refers to the displacement of each point on the axis of the beam in the normal plane of the axis at the point when the beam deforms, the deflection is related to the load size, the cross-sectional size of the component and the material physical properties of the component; fatigue refers to the whole process of crack initiation and propagation to fracture failure of the machine and component during service due to variable load, the variable load is the external force causing fatigue failure, which refers to the load whose size or even direction changes with time, the average value of the load on the unit area is the variable stress, the variable stress is divided into cyclic stress and irregular random variable stress, the characteristics of fatigue: fatigue is a fracture with a service life, the fracture stress level is often lower than the tensile strength of the material, and even lower than the yield strength, fatigue is a sudden brittle fracture, which is very sensitive to notches, cracks and organizational defects, the test for providing certain fatigue data of the material or the part under load is called fatigue test, the initial fatigue deflection value of the GFRP-RC beam is determined by identifying the initial deflection of the obtained test results through the cyclic loading test of the fatigue stress level of the GFRP-RC beam.

[0054] In step S130, the CEB-FIP fatigue life prediction model is:

[0055]

[0056] Wherein: n is the fatigue life of the GFRP-RC beam, f n is the maximum deflection of the GFRP-RC beam before failure, f0 is the initial fatigue deflection value of the GFRP-RC beam.

[0057] It can be understood that the CEB-FIP fatigue life prediction model has been verified by a large number of GFRP-RC beam fatigue test data, and can be effectively and accurately applied to the fatigue life prediction of the GFRP-RC beam, when the fatigue deflection value of the GFRP-RC beam reaches the maximum deflection of the GFRP-RC beam before failure, the GFRP-RC beam is obtained. The fatigue life is defined as the number of load cycles when fatigue failure occurs, or the time elapsed from the beginning of loading to the occurrence of fracture, by substituting the maximum deflection of the GFRP-RC beam before failure and the initial fatigue deflection value of the GFRP-RC beam into the CEB-FIP fatigue life prediction model, the fatigue life of the GFRP-RC beam can be obtained.

[0058] In the embodiments of the application, the scheme of the application is further described in detail through a specific embodiment:

[0059] In combinationFigure 1 and Figure 2 As shown in the following table, in this embodiment, three GFRP-RC test beams are selected to establish the prediction of the fatigue life of the GFRP-RC beam by the method of the present application, and the fatigue life operation process of the GFRP-RC test beams is shown as follows:

[0060] S110, the ultimate bearing capacity of the three GFRP-RC test beams before failure and the maximum deflection of the three GFRP-RC test beams before failure are obtained, the ultimate bearing capacity and the maximum deflection are obtained by three-point bending static loading test of the three GFRP-RC test beams;

[0061] Further, the demonstration values of the three-point bending static loading test of the three GFRP-RC test beams are as follows:

[0062] The ultimate bearing capacity of the three GFRP-RC test beams is 12KN, 13KN and 14KN respectively;

[0063] The corresponding maximum deflection of the three GFRP-RC test beams is 8mm, 9mm and 10mm respectively.

[0064] Further, through the experimental data effectiveness conversion, the final ultimate bearing capacity of the GFRP-RC test beam is 13KN and the maximum deflection of the GFRP-RC test beam is 9mm.

[0065] S120, the initial fatigue deflection value of the GFRP-RC test beam is obtained, the initial fatigue deflection value is obtained by fatigue stress level cyclic loading test of the GFRP-RC test beam and initial deflection identification of the test results;

[0066] S121: the test results of the GFRP-RC test beam for fatigue stress level cyclic loading test are obtained, the test results are a curve with the load of the GFRP-RC test beam as the abscissa and the displacement of the GFRP-RC test beam as the ordinate;

[0067] S122: the initial deflection of the curve is identified to obtain the displacement variation interval of the GFRP-RC test beam, and the displacement of the GFRP-RC test beam corresponding to the minimum displacement variation interval is determined as the initial fatigue deflection value.

[0068] Further, by setting the fatigue stress level to 0.5 times the ultimate bearing capacity, the GFRP-RC test beam is subjected to 5 times of fatigue cyclic loading, and the maximum deflection demonstration values of the GFRP-RC test beam under the cyclic loading are 3.0mm, 6.2mm, 6.2mm, 6.3mm and 7.6mm respectively;

[0069] Further, it is determined that 6.2mm, 6.2mm and 6.3mm are the fatigue stable intervals of the GFRP-RC test beam before deflection, and therefore, the initial fatigue deflection value of the GFRP-RC test beam is selected as 6.2mm.

[0070] S130, inputting the maximum deflection and the initial fatigue deflection value into a preset CEB-FIP fatigue life prediction model to obtain the fatigue life of the GFRP-RC beam.

[0071] The CEB-FIP fatigue life prediction model is:

[0072]

[0073] Wherein, n is the fatigue life of the GFRP-RC beam, f n is the maximum deflection of the GFRP-RC beam before failure, and f0 is the initial fatigue deflection value of the GFRP-RC beam.

[0074] Further, the maximum deflection value 9mm of the GFRP-RC test beam and the initial fatigue deflection value 6.2mm of the GFRP-RC test beam are substituted into the CEB-FIP fatigue life prediction model for calculation, and the fatigue life n of the GFRP-RC test beam is equal to 3665 million times.

[0075] In order to better implement the method for predicting the fatigue life of the GFRP-RC beam in the embodiment of the application, on the basis of the method, please refer to Figure 3 , Figure 3 The result schematic diagram of one embodiment of the device provided by the application comprises:

[0076] The first acquisition module 301 acquires the ultimate bearing capacity of the GFRP-RC beam before failure and the maximum deflection of the GFRP-RC beam before failure, and the ultimate bearing capacity and the maximum deflection are obtained by performing a three-point bending static loading test on the GFRP-RC beam;

[0077] The second acquisition module 302 acquires the initial fatigue deflection value of the GFRP-RC beam, and the initial fatigue deflection value is obtained by performing a fatigue stress level cyclic loading test on the GFRP-RC beam and identifying the initial deflection of the test result;

[0078] The prediction module 303 inputs the ultimate deflection value and the initial fatigue deflection value into a preset CEB-FIP fatigue life prediction model to obtain the fatigue life of the GFRP-RC beam.

[0079] Further, the second acquisition module 302 further comprises:

[0080] a test result acquisition unit, configured to acquire a test result of a fatigue stress level cyclic loading test of the GFRP-RC beam, the test result being a curve with load of the GFRP-RC beam as the abscissa and displacement of the GFRP-RC beam as the ordinate;

[0081] a deflection identification unit, configured to identify initial deflection of the curve to obtain an initial fatigue deflection value.

[0082] The present application provides a method for economically, quickly and simply obtaining fatigue life information of the GFRP-RC beam, fills the gap of the theoretical model in predicting the fatigue life of the GFRP-RC beam, and mainly uses static test results and a small amount of data under cyclic loading to predict the fatigue performance of the GFRP-RC beam, so as to realize approximate prediction of the fatigue performance of the GFRP-RC beam from the perspective of the theoretical model.

[0083] The device for predicting fatigue life of a GFRP-RC beam provided in the above embodiment can implement the technical solutions described in the method embodiment for predicting fatigue life of a GFRP-RC beam, and the principles of the implementation of the above modules or units can be referred to the corresponding content in the method embodiment for predicting fatigue life of a GFRP-RC beam, which will not be repeated here.

[0084] As shown in Figure 4 The present application also provides an electronic device 400 accordingly. The electronic device 400 includes a processor 401, a memory 402 and a display 403. Figure 4 Only part of the components of the electronic device 400 are shown, but it should be understood that all the shown components are not required to be implemented, and more or less components can be alternatively implemented.

[0085] The memory 402 can be an internal storage unit of the electronic device 400 in some embodiments, for example, a hard disk or a memory of the electronic device 400. The memory 402 can also be an external storage device of the electronic device 400 in other embodiments, for example, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 400.

[0086] Further, the memory 402 can include both the internal storage unit and the external storage device of the electronic device 400. The memory 402 is used to store application software and various data installed on the electronic device 400.

[0087] The processor 401 may, in some embodiments, be a central processing unit (CPU), a microprocessor, or other data processing chip, for running program codes or processing data stored in the memory 402, such as a method for predicting fatigue life of a GFRP-RC beam.

[0088] The display 403 may, in some embodiments, be an LED display, a liquid crystal display, a touch liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display 403 is used to display information of the electronic device 400 and to display a visualized user interface. The components 401-403 of the electronic device 400 communicate with each other through a system bus.

[0089] In some embodiments of the present application, when the processor 401 executes the program for predicting fatigue life of a GFRP-RC beam in the memory 402, the following steps can be implemented:

[0090] Obtaining the ultimate bearing capacity of the GFRP-RC beam before failure and the maximum deflection of the GFRP-RC beam before failure, the ultimate bearing capacity and the maximum deflection being obtained by performing a three-point bending static loading test on the GFRP-RC beam;

[0091] Obtaining the initial fatigue deflection value of the GFRP-RC beam, the initial fatigue deflection value being obtained by performing a cyclic loading test at a fatigue stress level on the GFRP-RC beam and identifying the initial deflection from the test results;

[0092] Inputting the maximum deflection and the initial fatigue deflection value into a preset CEB-FIP fatigue life prediction model to obtain the fatigue life of the GFRP-RC beam.

[0093] It should be understood that, when the processor 401 executes the program for predicting fatigue life of a GFRP-RC beam in the memory 402, it can also implement other functions in addition to the above functions, which can be specifically understood with reference to the description of the corresponding method embodiments.

[0094] Further, the embodiments of the present application do not make specific limitation on the type of the electronic device 400 mentioned above, and the electronic device 400 can be a mobile phone, a tablet computer, a personal digital assistant (PDA), a wearable device, a laptop computer, or the like. Exemplary embodiments of the portable electronic device include, but are not limited to, a portable electronic device running an IOS, an android, a microsoft, or other operating system. The portable electronic device described above can also be other portable electronic devices, such as a laptop computer having a touch-sensitive surface (e.g., a touch panel), and the like. It should also be understood that in some other embodiments of the present application, the electronic device 400 can also not be a portable electronic device, but a desktop computer having a touch-sensitive surface (e.g., a touch panel).

[0095] In yet another aspect, the present application also provides a non-transitory computer readable storage medium having stored thereon a computer program, which, when executed by a processor, implements a method for predicting fatigue life of a GFRP-RC beam, the method comprising:

[0096] obtaining the ultimate bearing capacity of the GFRP-RC beam before failure and the maximum deflection of the GFRP-RC beam before failure, the ultimate bearing capacity and the maximum deflection being obtained by performing a three-point bending static loading test on the GFRP-RC beam;

[0097] obtaining the initial fatigue deflection value of the GFRP-RC beam, the initial fatigue deflection value being obtained by performing a fatigue stress level cyclic loading test on the GFRP-RC beam and identifying the initial deflection from the test results;

[0098] inputting the maximum deflection and the initial fatigue deflection value into a preset CEB-FIP fatigue life prediction model to obtain the fatigue life of the GFRP-RC beam. Those skilled in the art can understand that all or part of the processes of the above-mentioned embodiments can be completed by a computer program instructing relevant hardware, and the program can be stored in a computer readable storage medium. The computer readable storage medium can be a magnetic disk, an optical disk, a read-only memory, or a random access memory, etc.

[0099] The above describes in detail the method, device, electronic equipment and storage medium for predicting the fatigue life of the GFRP-RC beam provided by the application. The principles and implementation manners of the application are described by using specific examples in this paper. The above description of the examples is only used to help understand the method of the application and its core idea. Meanwhile, for those skilled in the art, the specific implementation manners and application ranges will be changed according to the idea of the application. In conclusion, the content of the specification should not be understood as a limitation of the application.

Claims

1. A method of predicting fatigue life of a GFRP-RC beam, characterized by, The method comprises the following steps: obtaining the ultimate bearing capacity and the maximum deflection of the GFRP-RC beam before failure, wherein the ultimate bearing capacity and the maximum deflection are obtained by performing a three-point bending static loading test on the GFRP-RC beam; obtaining the test result of the GFRP-RC beam subjected to the fatigue stress level cyclic loading test, wherein the test result is a curve with the load of the GFRP-RC beam as the horizontal coordinate and the displacement of the GFRP-RC beam as the vertical coordinate; identifying the initial deflection of the curve to obtain the displacement variation range of the GFRP-RC beam; determining the displacement of the GFRP-RC beam corresponding to the minimum displacement variation range as the initial fatigue deflection value; inputting the maximum deflection and the initial fatigue deflection value into a preset CEB-FIP fatigue life prediction model to obtain the fatigue life of the GFRP-RC beam; wherein the CEB-FIP fatigue life prediction model is as follows: ； wherein: n is the fatigue life of the GFRP-RC beam, is the maximum deflection of the GFRP-RC beam before failure, is the initial fatigue deflection value of the GFRP-RC beam.

2. The method of predicting fatigue life of GFRP-RC beam according to claim 1, characterized in that, the number of the cyclic loading test is N, and the value range of N is [5, 10].

3. The method of predicting fatigue life of GFRP-RC beam according to claim 1, wherein, In the three-point bending static loading test, the number of GFRP-RC beams used for the static loading test is W, and the value range of W is [1, 3].

4. An apparatus for predicting fatigue life of a GFRP-RC beam, for implementing a method for predicting fatigue life of a GFRP-RC beam according to any one of claims 1 to 3, characterized in that, The method comprises the following steps: a first obtaining module is configured to obtain the ultimate bearing capacity and the maximum deflection of the GFRP-RC beam before failure, wherein the ultimate bearing capacity and the maximum deflection are obtained by performing a three-point bending static loading test on the GFRP-RC beam; a second obtaining module is configured to obtain the test result of the GFRP-RC beam subjected to the fatigue stress level cyclic loading test, wherein the test result is a curve with the load of the GFRP-RC beam as the horizontal coordinate and the displacement of the GFRP-RC beam as the vertical coordinate; the initial deflection of the curve is identified to obtain the displacement variation range of the GFRP-RC beam; and the displacement of the GFRP-RC beam corresponding to the minimum displacement variation range is determined as the initial fatigue deflection value; a prediction module is configured to input the maximum deflection and the initial fatigue deflection value into a preset CEB-FIP fatigue life prediction model to obtain the fatigue life of the GFRP-RC beam; the CEB-FIP fatigue life prediction model is as follows: ； wherein: n is the fatigue life of the GFRP-RC beam, is the maximum deflection of the GFRP-RC beam before failure, is the initial fatigue deflection value of the GFRP-RC beam.

5. An electronic device, comprising: The computer device comprises a memory and a processor. The memory is configured to store a program. The processor is coupled to the memory and is configured to execute the program stored in the memory to implement the method for predicting the fatigue life of the GFRP-RC beam.

6. A storage medium having stored thereon a computer program, characterized in that The computer program is executed by the processor to implement the method for predicting the fatigue life of the GFRP-RC beam.

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