A method, apparatus, equipment and medium for predicting compressive residual strength

Abstract

This invention discloses a method, apparatus, device, and medium for predicting compressive residual strength, relating to the field of composite material technology. The method includes acquiring delamination damage data, including the location of delamination damage depth, the total thickness of delamination damage, and the size of delamination damage; determining the ratio between the location of delamination damage depth and the total thickness of delamination damage; determining a correction coefficient based on the ratio and the size of delamination damage; and determining the compressive residual strength of the carbon fiber composite material containing delamination damage based on the correction coefficient, the delamination damage data, a preset compressive residual strength, and a preset model. The preset compressive residual strength is the same as that of an undamaged carbon fiber composite material. This invention directly calculates the compressive residual strength of carbon fiber composite materials with delamination damage of different sizes and depths using a preset model, determining whether there are any safety hazards in the use of the carbon fiber composite material. The method is simple to calculate, requires no experimentation, and yields relatively accurate results.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of composite materials, and in particular to a compression residual strength prediction method, device, equipment and medium. BACKGROUND

[0002] Carbon fiber composite materials, especially carbon fiber reinforced resin matrix composite materials, are usually made by stacking multiple layers of prepreg at a certain angle and then heating and pressing to cure. In the production process, poor bonding between adjacent two layers of prepreg or deviation of pressure and temperature during curing can easily cause delamination damage inside. During transportation and use, the composite material is inevitably subjected to collision and impact, which can easily cause delamination damage with different sizes and depths inside the composite material. Delamination damage has a significant impact on the performance and service life of carbon fiber reinforced thermoplastic resin matrix composite materials. With the expansion of delamination, the performance of the composite material will be further reduced, and there is a great safety hazard. Therefore, establishing a compression residual strength prediction method for carbon fiber reinforced resin matrix composite materials containing delamination damage is of great significance for damage tolerance design of carbon fiber reinforced resin matrix composite materials, use safety guarantee of structures, and repair.

[0003] Currently, there is no prediction method for the compression residual strength of carbon fiber reinforced resin matrix composite materials containing delamination damage with different sizes and depths. SUMMARY

[0004] In view of the above problems, the present application provides a compression residual strength prediction method, device, equipment and medium to achieve the purpose of damage tolerance design of carbon fiber composite materials and use safety guarantee of structures.

[0005] To achieve the above purpose, the present application provides the following technical solutions:

[0006] The first aspect of the present application provides a compression residual strength prediction method, which comprises:

[0007] Obtaining delamination damage data, the delamination damage data including delamination damage depth position d, total delamination damage thickness h and delamination damage size x;

[0008] Determining the ratio relationship between the delamination damage depth position d and the total delamination damage thickness h, and determining a correction coefficient k according to the ratio relationship and the delamination damage size x;

[0009] Determining the compression residual strength s of the carbon fiber composite material containing delamination damage according to the correction coefficient k, the delamination damage data, a preset compression residual strength and a preset model, wherein the preset compression residual strength is the compression residual strength s0 of the undamaged carbon fiber composite material.

[0010] Optionally, determining the correction coefficient k based on the ratio relationship and the delamination damage size x includes:

[0011] When the ratio relationship And when 0 ≤ x < 18, the correction coefficient k = 1;

[0012] When the ratio relationship And when 18 ≤ x < 30, the correction coefficient k = 0.8;

[0013] When the ratio relationship And when x≥30, the correction coefficient

[0014] Optionally, determining the correction coefficient k based on the ratio relationship and the delamination damage size x includes:

[0015] When the ratio relationship And when 0 ≤ x < 20, the correction coefficient k = 1;

[0016] When the ratio relationship And when 20 ≤ x < 29, the correction coefficient k = 0.8;

[0017] When the ratio relationship And when x≥29, the correction coefficient

[0018] Optionally, determining the correction coefficient k based on the ratio relationship and the delamination damage size x includes:

[0019] When the ratio relationship And when 0 ≤ x < 25, the correction coefficient k = 1;

[0020] When the ratio relationship And when 25 ≤ x < 28, the correction coefficient k = 0.8;

[0021] When the ratio relationship And when x≥28, the correction coefficient

[0022] Optionally, the method for establishing the preset model includes:

[0023] A first model is established to illustrate the effect of increasing the size of the delamination damage on the compressive residual strength of carbon fiber composites containing delamination damage. The first model is as follows:

[0024] σ=-mx 2 +σ0,0≤x <a;

[0025] wherein, σ is the compression residual strength of the carbon fiber composite material with delamination damage, m is a coefficient related to the delamination damage depth, x is the delamination damage size of the carbon fiber composite material with delamination damage, σ0 is the compression strength of the carbon fiber composite material without damage, and a is the critical delamination damage size in the process of the compression residual strength of the carbon fiber composite material with delamination damage changing with the delamination damage size;

[0026] establishing a second model of the influence of the delamination damage depth position on the compression residual strength of the composite material, the second model being:

[0027]

[0028] wherein, k is a correction parameter for the compression residual strength of the composite material when considering the delamination damage depth position and the delamination damage size simultaneously;

[0029] fusing the second model and the first model to obtain the preset model, the preset model being:

[0030]

[0031] Optionally, the method further comprises:

[0032] σ = σ0(1-mx / a) s , a≤x.

[0033] wherein, σ s is the value of the compression residual strength of the carbon fiber composite material with delamination damage remaining stable after the delamination damage size is large enough.

[0034] Optionally, the method further comprises:

[0035] The environment temperature of the composite material is 20-25℃, and the relative humidity is 45%-55%RH.

[0036] A second aspect of the embodiment of the application provides a compression residual strength prediction device, comprising:

[0037] a delamination damage data acquisition module configured to acquire delamination damage data, the delamination damage data including a delamination damage depth position d, a delamination damage total thickness h, and a delamination damage size x;

[0038] a correction coefficient determination module configured to determine a ratio relationship between the delamination damage depth position d and the delamination damage total thickness h, and determine a correction coefficient k according to the ratio relationship and the delamination damage size x;

[0039] The compression residual strength determination module is configured to determine the compression residual strength σ of the carbon fiber composite material with delamination damage according to the correction coefficient k, the delamination damage data, a preset compression residual strength, and a preset model, wherein the preset compression residual strength is a compression residual strength σ0 of a carbon fiber composite material without damage.

[0040] A third aspect of the embodiment of the application provides a computer device, which comprises:

[0041] a processor;

[0042] a memory for storing processor-executable instructions;

[0043] The processor is configured to:

[0044] obtain delamination damage data, wherein the delamination damage data comprises a delamination damage depth position d, a total delamination damage thickness h, and a delamination damage size x;

[0045] determine a ratio relationship between the delamination damage depth position d and the total delamination damage thickness h, and determine a correction coefficient k according to the ratio relationship and the delamination damage size x;

[0046] determine the compression residual strength σ of the carbon fiber composite material with delamination damage according to the correction coefficient k, the delamination damage data, a preset compression residual strength, and a preset model, wherein the preset compression residual strength is a compression residual strength σ0 of a carbon fiber composite material without damage.

[0047] A fourth aspect of the embodiment of the application provides a non-transitory computer readable storage medium, when instructions in the storage medium are executed by a processor, causing a compression residual strength prediction method to be performed, and the method comprises:

[0048] obtain delamination damage data, wherein the delamination damage data comprises a delamination damage depth position d, a total delamination damage thickness h, and a delamination damage size x;

[0049] determine a ratio relationship between the delamination damage depth position d and the total delamination damage thickness h, and determine a correction coefficient k according to the ratio relationship and the delamination damage size x;

[0050] determine the compression residual strength σ of the carbon fiber composite material with delamination damage according to the correction coefficient k, the delamination damage data, a preset compression residual strength, and a preset model, wherein the preset compression residual strength is a compression residual strength σ0 of a carbon fiber composite material without damage.

[0051] Beneficial effects:

[0052] The application determines the correction coefficient by the obtained delamination damage data of the delamination damage carbon fiber composite material, thereby correcting the prediction model by the correction coefficient, directly calculating different sizes, depth positions by the prediction model, the method is simple in calculation, does not need experiment, and the calculation result is relatively accurate, the compression residual strength of the delamination damage carbon fiber composite material can be obtained more conveniently, simply and quickly, the performance of the composite material is further predicted, the use safety of the structure is ensured, and the safety hidden danger is reduced. BRIEF DESCRIPTION OF DRAWINGS

[0053] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0054] Figure 1 A specific example flow chart of the compression residual strength prediction method in the embodiment of the present application is provided.

[0055] Figure 2 Another specific example flow chart of the compression residual strength prediction method in the embodiment of the present application is provided.

[0056] Figure 3 A principle block diagram of a specific example of the compression residual strength prediction device in the embodiment of the present application is provided.

[0057] Figure 4 A specific example diagram of the computer device in the embodiment of the present application is provided. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the present application. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other at will.

[0059] Some methods for predicting the residual strength of defective composite materials often cover various defects such as delamination, porosity, voids, inclusions, matrix cracking, fiber breakage, low-resin, and high-resin content. These methods tend to have significant errors when predicting the compressive residual strength of composite materials with delamination damage. The presence of delamination damage severely affects the performance of composite materials, and delamination damage of different sizes and depths has varying impacts on the compressive residual strength of the composite material.

[0060] Therefore, it is necessary to understand the influence of delamination damage of different sizes and depths on the properties of carbon fiber reinforced resin matrix composites, and to establish a method for predicting the compressive residual strength of carbon fiber reinforced resin matrix composites with delamination damage of different sizes and depths, based on the testing process of carbon fiber reinforced resin matrix composites. This invention discloses a method for predicting compressive residual strength, such as... Figure 1 As shown, the method includes the following steps:

[0061] S101, Obtain layered damage data, the layered damage data including layered damage depth location d, total layered damage thickness h, and layered damage size x.

[0062] For example, the delamination depth *d* of the carbon fiber composite material with delamination damage is the distance from the delamination damage to the surface of the thin sub-plate, which can be obtained through computed tomography (CT) non-destructive testing, or by laser ultrasonic testing, infrared thermography, or other non-destructive testing methods. The delamination damage dimension *x* of the carbon fiber composite material with delamination damage is the transverse length of the delamination damage, which can be obtained through CT, laser ultrasonic testing, infrared thermography, or other non-destructive testing methods. The total thickness *h* of the delamination damage in the carbon fiber composite material with delamination damage can be measured using a high-precision vernier caliper, or a micrometer can be used instead.

[0063] S102, determine the ratio of the location of the delamination damage depth d to the total thickness of the delamination damage h, and determine the correction coefficient k based on the ratio and the size of the delamination damage x.

[0064] For example, by obtaining the delamination depth location d of the carbon fiber composite material with delamination damage and the total delamination thickness h, the ratio relationship is calculated, and the specific correction coefficient k is determined according to the calculated ratio relationship and the different ranges of the delamination damage size x.

[0065] S103, based on the correction coefficient k, the delamination damage data, the preset compressive residual strength and the preset model, determine the compressive residual strength σ of the carbon fiber composite material with delamination damage, wherein the preset compressive residual strength is the compressive residual strength σ0 of the undamaged carbon fiber composite material.

[0066] Exemplarily, by substituting the calculated correction coefficient k, the measured delamination damage data, and the preset compressive residual strength into the preset model, the compressive residual strength σ of the carbon fiber composite material with delamination damage is determined. The preset compressive residual strength is the compressive residual strength σ0 of the undamaged carbon fiber composite material, and its value is measured according to the standard test method for compressive properties of polymer matrix composites (ASTM D 3410-03).

[0067] The compressive residual strength prediction method provided by the present invention determines the correction coefficient through the delamination damage data of the obtained carbon fiber composite material, thereby correcting the prediction model through the correction coefficient. By directly performing calculations for different sizes and depth positions through the prediction model, the compressive residual strength of the carbon fiber composite material with delamination damage can be obtained more conveniently, simply, and quickly, further predicting the performance of the composite material, ensuring the safe use of the structure, and reducing potential safety hazards.

[0068] As an optional implementation manner of the present invention, the correction coefficient k is determined according to the ratio relationship and the delamination damage size x, specifically including:[[]]

[0069] During the process of the simultaneous increase of the delamination damage depth position d and the delamination damage size x, when the delamination damage size x reaches the critical value b, the reduction values of the delamination damage depth position d and the delamination damage size x on the compressive residual strength of the composite material will not be fully superimposed, and the reduction degree slows down. Therefore, the value of k can be divided into three segments:[[]]

[0070] 0≤x<b, b≤x<a, a≤x;[[]]

[0071] Among them, b < a, and a and b are the critical delamination damage sizes at which the value of k changes during the change of the compressive residual strength of the carbon fiber composite material with delamination damage with the delamination damage size x, and the unit is mm.

[0072] Because the critical values a and b will change with the delamination damage depth position d, and at the same time, according to the rule that the reduction degree of the compressive residual strength of the carbon fiber reinforced resin matrix composite material slows down when the delamination damage depth position d and the delamination damage size x increase simultaneously, the value rule of the correction coefficient k can be obtained:[[]]

[0073] When the ratio relationship[[]] and 0≤x<18, the correction coefficient k = 1;[[]]

[0074] When the ratio relationship[[]] and 18≤x<30, the correction coefficient k = 0.8;[[]]

[0075] When the ratio relationship[[]] and x≥30, the correction coefficient[[]]

[0076] When the ratio relationship[[]] And when 0 ≤ x < 20, the correction coefficient k = 1;

[0077] When the ratio relationship And when 20 ≤ x < 29, the correction factor k = 0.8;

[0078] When the ratio relationship And when x≥29, the correction factor

[0079] When the ratio relationship And when 0 ≤ x < 25, the correction coefficient k = 1;

[0080] When the ratio relationship And when 25 ≤ x < 28, the correction factor k = 0.8;

[0081] When the ratio relationship And when x≥28, the correction factor

[0082] By judging the change in the location d of the delamination damage in carbon fiber composites with delamination damage, and obtaining its change law according to the delamination damage size x, the correction coefficient can be determined, and the compressive residual strength of carbon fiber composites with delamination damage can be obtained more completely and accurately.

[0083] As an optional embodiment of the present invention, such as Figure 2 As shown, the method for establishing the preset model includes:

[0084] S201, establish a first model of the effect of increasing the size of the delamination damage on the compressive residual strength of carbon fiber composites containing delamination damage.

[0085] As the delamination damage size x increases, the compressive residual strength of the carbon fiber composite containing delamination damage exhibits a trend of first decreasing parabolically and then stabilizing. Therefore, the first model relationship is:

[0086] σ=-mx 2 +σ0,0≤x <a;

[0087] Where σ is the compressive residual strength of the carbon fiber composite with delamination damage, in MPa; and m is a coefficient related to the depth of delamination damage, in MPa / mm. 2 ; x is the delamination damage size of the carbon fiber composite material containing delamination damage, in mm; σ0 is the preset compressive residual strength, in MPa; a is the critical delamination damage size in the process of the compressive residual strength of the carbon fiber composite material containing delamination damage changing with the delamination damage size x, in mm.

[0088] The preset residual compressive strength is the residual compressive strength σ0 of the undamaged carbon fiber composite material, which is measured according to the standard test method for compressive properties of polymer-based composite materials (ASTM D 3410-03).

[0089] For example, when the location of the delamination damage depth d changes, the compressive residual strength of the carbon fiber composite containing delamination damage still follows a parabolic decrease with the change of the delamination damage size x, and then remains stable, and the first model relationship still applies.

[0090] S202, establish a second model for the influence of the location of the delamination damage depth on the compressive residual strength of the composite material.

[0091] The location of the delamination damage depth d has an approximately exponential effect on the compressive residual strength of the composite material; therefore, the second model is as follows:

[0092]

[0093] Where k is a correction parameter for the compressive residual strength of the composite material when considering both the location and size of the delamination damage, in MPa / mm. 2 d represents the location of the delamination damage depth in the carbon fiber composite material containing delamination damage, in mm; h represents the total thickness of the delamination damage in the carbon fiber composite material containing delamination damage, in mm.

[0094] S203, the second model is fused with the first model to obtain the preset model.

[0095] Substituting the second model relation into the first model relation, we obtain the relationship between the delamination damage size x, the delamination damage depth d, and the compressive residual strength σ of the carbon fiber composite material. That is, the preset model is:

[0096]

[0097] The compressive residual strength of carbon fiber materials with delamination damage can be predicted using the following formula.

[0098]

[0099] when When 0 ≤ x < 18, k = 1; when 18 ≤ x < 30, k = 0.8; when x ≥ 30,

[0100] when When 0 ≤ x < 20, k = 1; when 20 ≤ x < 29, k = 0.8; when x ≥ 29,

[0101] when When 0 ≤ x < 25, k = 1; when 25 ≤ x < 28, k = 0.8; when x ≥ 28,

[0102] The compressive residual strength prediction method provided by this invention determines the correction coefficient by acquiring the delamination damage data of carbon fiber composite materials, and then corrects the prediction model by the correction coefficient. The prediction model can be directly used to calculate the compressive residual strength of carbon fiber composite materials with delamination damage in a more convenient, simple and fast way, so as to further predict the performance of composite materials, ensure the safety of the structure and reduce safety hazards.

[0103] As an optional embodiment of the present invention, the method further includes:

[0104] σ=σ s a≤x;

[0105] Where σ represents the compressive residual strength of the carbon fiber composite material with delamination damage, in MPa; s denoted as , where is the value of the compressive residual strength of the carbon fiber composite containing delamination damage after the delamination damage size is sufficiently large, and is the critical delamination damage size in mm as the compressive residual strength of the carbon fiber composite containing delamination damage changes with the delamination damage size x; is the delamination damage size in mm of the carbon fiber composite containing delamination damage.

[0106] As an optional embodiment of the present invention, the ambient temperature of the carbon fiber composite material containing delamination damage is 20-25℃ and the relative humidity is 45%-55%RH.

[0107] To verify the accuracy of the prediction method for the compressive residual strength of carbon fiber composites with delamination damage in this invention, this invention calculates the compressive residual strength of carbon fiber composites with delamination damage at different depths (delamination at the geometric center of the composite material) using a preset model of compressive residual strength with different delamination damage sizes and different delamination damage depths. The error value is calculated using a formula, and the results are shown in Tables 1 and 2.

[0108] Table 1 shows the delamination damage parameters for a 26-layer composite material with circular delaminations located at the geometric center of the composite. The composite material is a carbon fiber composite. The delamination diameter is the delamination damage size, and the location of the delamination between the two layers can be determined. The value of .

[0109] Table 2 shows the delamination damage parameters for a 34-layer composite material with square delaminations located at the geometric center of the composite. The composite material is carbon fiber composite. The side length of each delamination represents the delamination damage size. The delamination can be determined by identifying the two layers between them. The value of .

[0110] The error value can be calculated using the following formula. As can be seen from the table, the calculated error values ​​are all less than 9%, proving that the compressive residual strength prediction model derived in this paper is reliable for carbon fiber composites with delamination damage.

[0111] Error % = 100 * |Measured value - Calculated value| / Measured value

[0112] Table 1. Delamination damage parameters of composite materials with 26 layers and circular delamination.

[0113]

[0114] Table 2. Delamination damage parameters of composite materials with 34 layers and square delamination.

[0115]

[0116] This invention also discloses a device for predicting residual compressive strength, such as... Figure 3 As shown, the device includes:

[0117] The layered damage data acquisition module is used to acquire layered damage data, which includes the layered damage depth location d, the total layered damage thickness h, and the layered damage size x.

[0118] The correction coefficient determination module is used to determine the ratio between the location of the layered damage depth d and the total thickness of the layered damage h, and to determine the correction coefficient k based on the ratio and the size of the layered damage x.

[0119] The compressive residual strength determination module is used to determine the compressive residual strength σ of the carbon fiber composite material with delamination damage based on the correction coefficient k, the delamination damage data, the preset compressive residual strength and the preset model, wherein the preset compressive residual strength is the compressive residual strength σ0 of the undamaged carbon fiber composite material.

[0120] The compressive residual strength prediction device provided by this invention acquires delamination damage data through a delamination damage data acquisition module. A correction coefficient determination module then determines the correction coefficient for the acquired delamination damage data of the carbon fiber composite material, thereby correcting the prediction model. The compressive residual strength determination module calculates and determines the compressive residual strength at different dimensions and depths, making it more convenient, simple, and fast to obtain the compressive residual strength of carbon fiber composite materials containing delamination damage. This further predicts the performance of the composite material, ensuring the safety of the structure and reducing safety hazards.

[0121] This invention also provides a computer device, such as... Figure 4As shown, the electronic device may include a processor 401 and a memory 402, wherein the processor 401 and the memory 402 may be connected via a bus or other means. Figure 4 Taking the example of a connection between China and Israel via a bus.

[0122] Processor 401 may be a central processing unit (CPU). Processor 401 may also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or combinations thereof.

[0123] The memory 402, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as the program instructions / modules corresponding to the illegal behavior detection method in the embodiments of the present invention. The processor 401 executes various functional applications and data processing of the processor by running the non-transitory software programs, instructions, and modules stored in the memory 402, thereby realizing the compression residual strength prediction method in the above method embodiments.

[0124] The memory 402 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created by the processor 401, etc. Furthermore, the memory 402 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory 402 may optionally include memory remotely located relative to the processor 401, and these remote memories may be connected to the processor 401 via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0125] The one or more modules are stored in the memory 402, and when executed by the processor 401, they perform actions such as... Figure 1 The method for predicting residual compressive strength in the illustrated embodiment.

[0126] For specific details regarding the aforementioned electronic devices, please refer to the relevant documentation. Figure 1 The relevant descriptions and effects in the illustrated embodiments are for understanding purposes only and will not be repeated here.

[0127] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk drive (HDD), or solid-state drive (SSD), etc.; the storage medium can also include combinations of the above types of memory.

[0128] It should be noted that the terms "one embodiment," "embodiment," "exemplary embodiment," "some embodiments," etc., mentioned in the specification indicate that the described embodiment may include a specific feature, structure, or characteristic, but not every embodiment necessarily includes that specific feature, structure, or characteristic. Furthermore, such phrases do not necessarily refer to the same embodiment. Moreover, when a specific feature, structure, or characteristic is described in connection with an embodiment, implementing such a feature, structure, or characteristic in conjunction with other embodiments, whether explicitly described or not, is within the knowledge scope of those skilled in the art.

[0129] Generally speaking, terms should be understood at least in part by their use in context. For example, at least in part by context, the term "one or more" as used in the text can be used to describe any feature, structure, or characteristic of the singular meaning, or a combination of features, structures, or characteristics of the plural meaning. Similarly, at least in part by context, terms such as "a" or "the" can also be understood to convey either singular or plural usage.

[0130] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

Claims

1. A method of compressive residual strength prediction, characterized by, The method comprises: obtaining delamination damage data, the delamination damage data comprising a delamination damage depth position d, a delamination damage total thickness h and a delamination damage size x; determining a ratio relationship between the delamination damage depth position d and the delamination damage total thickness h, and determining a correction coefficient k according to the ratio relationship and the delamination damage size x; According to the correction coefficient k, the delamination damage data, a preset compressive residual strength and a preset model, a compressive residual strength of the carbon fiber composite material with delamination damage is determined , wherein the preset compressive residual strength is a compressive residual strength of a carbon fiber composite material without damage ​ wherein the method for establishing the preset model comprises: establishing a first model of the influence of the delamination damage size increasing from small to large on the compression residual strength of the carbon fiber composite material with delamination damage, the first model being: ; wherein, is the compressive residual strength of the carbon fiber composite material with delamination damage, m is a coefficient related to the delamination damage depth, x is the delamination damage size of the carbon fiber composite material with delamination damage, is the preset compressive residual strength, a is the critical delamination damage size in the change process of the compressive residual strength of the carbon fiber composite material with delamination damage with the delamination damage size. establishing a second model of the influence of the delamination damage depth position on the compression residual strength of the composite material, the second model being: ; wherein k is a correction parameter for the compression residual strength of the composite material when considering the delamination damage depth position and the delamination damage size simultaneously, d is the delamination damage depth position of the carbon fiber composite material with delamination damage, and h is the delamination damage total thickness of the carbon fiber composite material with delamination damage; fusing the second model and the first model to obtain the preset model, the preset model being: ； The method further comprises: ; wherein, is the value of the compressive residual strength of the carbon fiber composite material containing delamination damage after the compressive residual strength of the carbon fiber composite material containing delamination damage remains stable, and a is the critical delamination damage size in the process of the compressive residual strength of the carbon fiber composite material containing delamination damage changing with the delamination damage size.

2. The method of claim 1, wherein, determining the correction coefficient k according to the ratio relationship and the delamination damage size x comprises: When the ratio , and , the correction coefficient ; When the ratio , and , the correction coefficient 0.8; When the ratio , and , the correction coefficient .

3. The method of claim 1, wherein determining the correction coefficient k according to the ratio relationship and the delamination damage size x comprises: When the ratio , and , the correction coefficient ; When the ratio , and the correction factor 0.8; When the ratio , and , the correction coefficient .

4. The method of claim 1, wherein determining the correction coefficient k according to the ratio relationship and the delamination damage size x comprises: When the ratio , and , the correction coefficient ; When the ratio , and , the correction coefficient 0.8; When the ratio , and , the correction coefficient .

5. The method of claim 1, wherein The method further comprises: The environment temperature of the carbon fiber composite material with delamination damage is 20-25℃, and the relative humidity is 45%-55%RH.

6. A compressed residual strength prediction device characterized by comprising: comprises: a delamination damage data acquisition module for acquiring delamination damage data, the delamination damage data comprising a delamination damage depth position d, a delamination damage total thickness h and a delamination damage size x; a correction coefficient determination module for determining a ratio relationship between the delamination damage depth position d and the delamination damage total thickness h, and determining a correction coefficient k according to the ratio relationship and the delamination damage size x; The compression residual strength determination module is configured to determine the compression residual strength of the carbon fiber composite material with delamination damage according to the correction coefficient k, the delamination damage data, a preset compression residual strength, and a preset model , wherein the preset compression residual strength is the compression residual strength of a carbon fiber composite material without damage . wherein the compression residual strength determination module is further configured to: establish a first model of the influence of the delamination damage size increasing from small to large on the compression residual strength of the carbon fiber composite material with delamination damage, the first model being: ; wherein, is the compressive residual strength of the carbon fiber composite material with delamination damage, m is a coefficient related to the delamination damage depth, x is the delamination damage size of the carbon fiber composite material with delamination damage, is the preset compressive residual strength, a is the critical delamination damage size in the change process of the compressive residual strength of the carbon fiber composite material with delamination damage with the delamination damage size. establish a second model of the influence of the delamination damage depth position on the compression residual strength of the composite material, the second model being: ; wherein k is a correction parameter for the compression residual strength of the composite material when considering the delamination damage depth position and the delamination damage size simultaneously, d is the delamination damage depth position of the carbon fiber composite material with delamination damage, and h is the delamination damage total thickness of the carbon fiber composite material with delamination damage; fuse the second model and the first model to obtain the preset model, the preset model being: ； The compression residual strength determination module is further configured to: ; wherein, is the value of the compressive residual strength of the carbon fiber composite material containing delamination damage after the compressive residual strength of the carbon fiber composite material containing delamination damage remains stable, and a is the critical delamination damage size in the process of the compressive residual strength of the carbon fiber composite material containing delamination damage changing with the delamination damage size.

7. A computer device, characterized by comprise: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to: obtain delamination damage data, the delamination damage data comprising a delamination damage depth position d, a delamination damage total thickness h and a delamination damage size x; determine a ratio relationship between the delamination damage depth position d and the delamination damage total thickness h, and determine a correction coefficient k according to the ratio relationship and the delamination damage size x; According to the correction coefficient k, the delamination damage data, a preset compressive residual strength and a preset model, a compressive residual strength of the carbon fiber composite material with delamination damage is determined , wherein the preset compressive residual strength is a compressive residual strength of a carbon fiber composite material without damage ​ The method for establishing the preset model comprises: establishing a first model of the influence of the delamination damage size increasing from small to large on the compression residual strength of the carbon fiber composite material, the first model being: ; wherein, is the compressive residual strength of the carbon fiber composite material with delamination damage, m is a coefficient related to the delamination damage depth, x is the delamination damage size of the carbon fiber composite material with delamination damage, is the preset compressive residual strength, a is the critical delamination damage size in the change process of the compressive residual strength of the carbon fiber composite material with delamination damage with the delamination damage size. establishing a second model of the influence of the delamination damage depth position on the compression residual strength of the composite material, the second model being: ; wherein k is a correction parameter for the compression residual strength of the composite material when the delamination damage depth position and the delamination damage size are considered simultaneously, d is the delamination damage depth position of the carbon fiber composite material with delamination damage, and h is the delamination damage total thickness of the carbon fiber composite material with delamination damage; fusing the second model and the first model to obtain the preset model, the preset model being: ； The processor is further configured to: ; wherein, is the value of the compressive residual strength of the carbon fiber composite material containing delamination damage after the compressive residual strength of the carbon fiber composite material containing delamination damage remains stable, and a is the critical delamination damage size in the process of the compressive residual strength of the carbon fiber composite material containing delamination damage changing with the delamination damage size. 8.A non-transitory computer readable storage medium, when instructions in the storage medium are executed by a processor, causing a compression residual strength prediction method to be performed, the method comprising: obtaining delamination damage data, the delamination damage data comprising a delamination damage depth position d, a delamination damage total thickness h and a delamination damage size x; determining a ratio relationship between the delamination damage depth position d and the delamination damage total thickness h, and determining a correction coefficient k according to the ratio relationship and the delamination damage size x; According to the correction coefficient k, the delamination damage data, a preset compressive residual strength and a preset model, a compressive residual strength of the carbon fiber composite material with delamination damage is determined , wherein the preset compressive residual strength is a compressive residual strength of a carbon fiber composite material without damage ; The method for establishing the preset model comprises: establishing a first model of the influence of the delamination damage size increasing from small to large on the compression residual strength of the carbon fiber composite material, the first model being: ; wherein, is the compressive residual strength of the carbon fiber composite material with delamination damage, m is a coefficient related to the delamination damage depth, x is the delamination damage size of the carbon fiber composite material with delamination damage, is the preset compressive residual strength, a is the critical delamination damage size in the change process of the compressive residual strength of the carbon fiber composite material with delamination damage with the delamination damage size. establishing a second model of the influence of the delamination damage depth position on the compression residual strength of the composite material, the second model being: ; wherein k is a correction parameter for the compression residual strength of the composite material when the delamination damage depth position and the delamination damage size are considered simultaneously, d is the delamination damage depth position of the carbon fiber composite material with delamination damage, and h is the delamination damage total thickness of the carbon fiber composite material with delamination damage; fusing the second model and the first model to obtain the preset model, the preset model being: ； The method further comprises: ; wherein, is the value of the compressive residual strength of the carbon fiber composite material containing delamination damage after the compressive residual strength of the carbon fiber composite material containing delamination damage remains stable, and a is the critical delamination damage size in the process of the compressive residual strength of the carbon fiber composite material containing delamination damage changing with the delamination damage size.

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