Needling C / SiC composite material representative volume element model considering pore and fiber deflection

Abstract

The invention relates to the technical field of composite materials, in particular to a method, a system, equipment, a program product and a storage medium for predicting the bearing capacity of a needled C / SiC composite material by considering pore and fiber deflection, and the method comprises the following steps: obtaining static parameters and volume parameters of each phase of a C / SiC composite material test piece; a finite element unit cell model representing the needling area is constructed, and effective performance parameters of the C / SiC composite material needling area are obtained; constructing a finite element refined analysis model, and obtaining a bearing capacity curve and a failure mode under the action of a tensile load; and predicting the bearing capacity of the C / SiC composite material test piece. According to the method, the failure mode of the C / SiC composite material test piece under the action of the axial load is accurately simulated, and the structural bearing capacity of the C / SiC composite material considering the pore defects is analyzed, so that the calculation efficiency can be improved, the test cost can be reduced, and the bearing capacity of the C / SiC composite material can be effectively evaluated.

Description

Technical Field

[0001] The present invention relates to the technical field of composite materials, and in particular to a method, system, device, program product and storage medium for predicting the bearing capacity of a needle-punched C / SiC composite material taking into account pores and fiber deflection. Background Art

[0002] The three-dimensional C / SiC composite material consists of a preform and a matrix. The volume content and arrangement of the fibers in the preform have a decisive influence on the mechanical properties of the composite material. Affected by the needle punching process, the fiber arrangement inside the needle punched C / SiC composite material is intricate. It is difficult to establish a representative volume unit based on its microscopic geometric structure and calculate the effective performance of the material.

[0003] In the field of representative volume element model research of needle-punched materials, scholars generally use representative volume elements of ideal fiber structures and their modified models. The idealized unit cell must meet the following assumptions: 1) The minimum periodic unit cell contains only one needle-punched hole area and strictly satisfies the periodic boundary conditions; 2) The non-weft cloth and the web layer are simplified into a cuboid with a certain thickness, ignoring the changes in fiber morphology caused by the needle-punching process; 3) The web layer made of chopped fibers is considered to be an isotropic material; 4) The needle-punched fiber bundle is equivalent to a cylinder. Too idealized, so that this unit cell cannot describe the specific fiber orientation of the needle-punched area and its influence on the stress field distribution, which in turn affects the prediction accuracy of the macroscopic properties of the needle-punched material; 5) The fiber orientation of the needle-punched material is finely described by dividing the needle-punched material into 4 typical areas, namely: non-needle-punched area, surface needle-punched area, single needle-punched area and repeated needle-punched area. Among them, the surface needle-punched area considers the surface fiber being squeezed to both sides by the needle, while the single needle-punched area considers the fiber deflection along the thickness direction. During the chemical vapor deposition (CVI) process, due to incomplete penetration of the matrix in the needle holes, matrix missing areas of varying sizes are easily formed at the needle holes. The above representative volume elements do not consider the influence of the pores near the Z-direction fibers of the needle holes on the prediction of their macroscopic properties, thus affecting the accuracy of the predicted bearing capacity.

[0004] Therefore, it is necessary to provide a method, system, device, program product and storage medium for predicting the bearing capacity of needle-punched C / SiC composite materials taking into account pores and fiber deflection to solve the above problems. Summary of the invention

[0005] The present invention provides a method, system, device, program product and storage medium for predicting the bearing capacity of a needle-punched C / SiC composite material taking into account pores and fiber deflection. According to the porosity of the needle-punched material, the control parameters for generating pores are adjusted, thereby changing the volume of the pores in the unit cell, and the effective performance parameters of the needle-punched area are obtained by numerically calculating the finite element unit cell model representing the needle-punched area. Further, the macroscopic mechanical performance parameters of the needle-punched material predicted by the representative volume element are used in combination with the failure criterion to carry out the failure mode simulation of the needle-punched C / SiC composite test piece under different load conditions, so as to realize the prediction of the performance of the needle-punched C / SiC composite material, so as to solve the problem that the existing representative volume element does not consider the influence of the pores near the Z-direction fibers of the needle-punched hole on its macroscopic performance prediction, thereby affecting the accuracy of the predicted bearing capacity.

[0006] The present invention discloses a method for predicting the bearing capacity of a needle-punched C / SiC composite material taking into account pores and fiber deflection, which adopts the following technical scheme, including: Obtain the static parameters and volume parameters of each phase of the C / SiC composite specimen; wherein the static parameters include the basic size, distribution form, performance parameters and microstructure of each phase of the C / SiC composite specimen; the volume parameters include the pore volume, matrix volume and carbon fiber volume; A finite element unit cell model representing the needle-punched area is constructed based on static parameters, and the effective performance parameters of the needle-punched area of ​​the C / SiC composite material are obtained using the finite element unit cell model. A finite element refined analysis model was constructed based on the effective performance parameters and static parameters of the composite material's needle-punched area; a static analysis of the finite element refined analysis model was performed to obtain the bearing capacity curve, and the failure mode of the C / SiC composite material specimen under tensile load was obtained; The bearing capacity of C / SiC composite specimens is predicted based on the bearing capacity curve and failure mode.

[0007] Preferably, the steps of obtaining the static parameters and volume parameters of each phase of the C / SiC composite material specimen are: The two-dimensional image of the C / SiC composite specimen was obtained by microscopic scanning; And convert the two-dimensional image into a three-dimensional model of the C / SiC composite specimen; The deep learning algorithm is used to identify and segment the phases of the C / SiC composite specimen, where the phases of the C / SiC composite specimen include pores, a non-woven fabric layer, a mesh layer, and a needle-punched area. Determine the volume parameters of each phase of the C / SiC composite specimen; The static parameters are obtained based on the three-dimensional model of the C / SiC composite specimen and the volume parameters of each phase.

[0008] Preferably, the steps of obtaining the effective performance parameters of the needle-punched area of ​​the C / SiC composite material are: The pore phase is divided in the finite element unit cell model according to the pore volume; Finite element analysis software is used to impose periodic boundary conditions on the finite element unit cell model, and the effective performance parameters of the needle-punched area of ​​the C / SiC composite material are output.

[0009] Preferably, the steps of constructing a finite element refined analysis model are: Determine the model size and model boundary conditions of the finite element analysis model according to the static parameters of the C / SiC composite material specimen and the preset boundary conditions; Set the material properties and loads of the model according to the material properties and load conditions of the C / SiC composite material specimen; The finite element analysis method is used to construct a finite element refined analysis model based on the model size, model boundary conditions, model material properties and loads.

[0010] Preferably, the steps of predicting the load-bearing capacity of the C / SiC composite material specimen are: Analyze the bearing capacity curve to obtain the curve characteristics of the bearing capacity curve; The bearing capacity of C / SiC composite specimens was obtained based on the curve characteristics and failure mode.

[0011] Preferably, the curve characteristics include the positions of the inflection point, the platform area and the breaking point on the bearing capacity curve.

[0012] A technical solution for a bearing capacity prediction system of a needle-punched C / SiC composite material considering pores and fiber deflection, comprising: The parameter acquisition module is used to obtain the static parameters and volume parameters of each phase of the C / SiC composite material specimen; wherein the static parameters include the basic size, distribution form, performance parameters and microstructure of each phase of the C / SiC composite material specimen; the volume parameters include the pore volume, matrix volume and carbon fiber volume; An effective performance parameter calculation module is used to construct a finite element unit cell model representing the needle-punched area based on static parameters, and use the finite element unit cell model to obtain effective performance parameters of the needle-punched area of ​​the C / SiC composite material; Failure analysis module, used to construct a finite element refined analysis model based on the effective performance parameters and static parameters of the composite material needle-punched area; static analysis of the finite element refined analysis model is performed to obtain the bearing capacity curve, and the failure mode of the C / SiC composite material specimen under tensile load is obtained; The prediction module is used to predict the load-bearing capacity of C / SiC composite material specimens according to the load-bearing capacity curve and failure mode.

[0013] An electronic device comprises: a processor, a memory and a computer program stored in the memory. When the computer program is executed by the processor, the steps of a method for predicting the bearing capacity of a needle-punched C / SiC composite material taking into account pores and fiber deflection of the present invention are implemented.

[0014] A program product includes a computer program. When the computer program is run, it is used to execute the steps of a method for predicting the bearing capacity of a needle-punched C / SiC composite material considering pores and fiber deflection of the present invention.

[0015] A storage medium stores a computer program, which, when executed, is used to execute the steps of a method for predicting the bearing capacity of a needle-punched C / SiC composite material taking into account pores and fiber deflection according to the present invention.

[0016] The beneficial effects of the present invention are: The pore defect content of the C / SiC composite material can be determined by the pore volume in the static parameters of each phase of the C / SiC composite material specimen; by constructing a finite element unit cell model representing the needle-punctured area of ​​the C / SiC composite material, the effective performance parameters of the needle-punctured area of ​​the C / SiC composite material containing pore defects can be calculated using the finite element unit cell model, and a finite element refined analysis model of the C / SiC composite material containing the needle-punctured area is established to accurately simulate the failure mode of the C / SiC composite material specimen under axial load, and analyze the structural bearing capacity of the C / SiC composite material considering pore defects, which effectively solves the problem that the finite element modeling and analysis method in the existing technology cannot effectively evaluate the strength of the C / SiC composite material, thereby improving the calculation efficiency, reducing the test cost, and effectively evaluating the bearing capacity of the C / SiC composite material. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 A flow chart of a method for predicting the bearing capacity of a needle-punched C / SiC composite material taking into account pores and fiber deflection according to the present invention; Figure 2 A system block diagram of a bearing capacity prediction system of a needle-punched C / SiC composite material considering pores and fiber deflection according to the present invention; Figure 3 Schematic diagram of the geometric structure of a finite element unit cell model representing the needle-punched area of ​​a C / SiC composite material in an embodiment of the present invention; Figure 4 Schematic diagram of the geometric structure of a C / SiC composite material specimen in an embodiment of the present invention; Figure 5 It is a front view of the finite element refined analysis model in the embodiment of the present invention; Figure 6 is a cross-sectional view of a finite element refined analysis model in an embodiment of the present invention; Figure 7 is a general view of the finite element refined analysis model in an embodiment of the present invention; Figure 8 It is a schematic diagram of the acupuncture area of ​​the finite element refined analysis model in the embodiment of the present invention; Fig. 9 is a bearing capacity curve diagram of the finite element refined analysis model in an embodiment of the present invention; Fig.10 Schematic diagram of failure modes of the non-woven fabric layer, the web layer and the needle-punched area of ​​the C / SiC composite material in an embodiment of the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] An embodiment of a method for predicting the bearing capacity of a needle-punched C / SiC composite material taking into account pores and fiber deflection of the present invention is as follows: Figure 1 As shown, including: S1. Obtain the static parameters and volume parameters of each phase of the C / SiC composite material specimen; Specifically, the static parameters include the basic size, distribution form, performance parameters and microstructure of each phase of the C / SiC composite specimen; the volume parameters include pore volume, matrix volume and carbon fiber volume. Figure 4 As shown, Figure 4 This is a schematic diagram of the geometric structure of the C / SiC composite material specimen, which includes two cubic clamping joints and a C / SiC composite material. The total length is 120 mm, the length of the clamping end of the joint is 50 mm, the width is 10 mm, and the thickness is 3 mm; the C / SiC composite material in the middle is 20 mm long and 3 mm thick.

[0021] Among them, the steps for obtaining the static parameters and volume parameters of each phase of the C / SiC composite material specimen are: Step 11, obtain a two-dimensional image of the C / SiC composite material specimen by microscopic scanning. In this embodiment, microscopic XCT scanning is used to set appropriate scanning parameters (scanning layer thickness, scanning range, etc.), and a two-dimensional image of the C / SiC composite material specimen is obtained without destroying the C / SiC composite material specimen. It should be understood by those skilled in the art that although the information of the C / SiC composite material specimen obtained by micro CT scanning is three-dimensional, the image presented is two-dimensional. The two-dimensional image is converted into a three-dimensional model by image processing technology. There are many specific methods for conversion in the prior art, which are not described in detail here. Those skilled in the art can select according to actual needs. The scanning method here is only one embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Those skilled in the art can also use other scanning methods according to experimental needs, as long as the internal microstructure of the C / SiC composite material specimen can be obtained. It should be noted that the surface of the C / SiC composite material specimen here should be ensured to be flat and free of crack defects.

[0022] Step 12: Convert the two-dimensional image into a three-dimensional model of the C / SiC composite material specimen.

[0023] Step 13, using a deep learning algorithm to identify and segment the phases of the C / SiC composite material specimen, wherein the phases of the C / SiC composite material specimen include: pores, non-weft cloth layer, mesh layer and needle-punched area; determine the volume parameters of each phase of the C / SiC composite material specimen; it should be noted that when using a deep learning algorithm to identify and segment the phases of the C / SiC composite material specimen, specifically, the deep learning algorithm is used to process the three-dimensional image to identify and segment the pore defects, non-weft cloth layer, mesh layer and needle-punched area of ​​the C / SiC composite material specimen. And calculate the volume of each phase based on the identification result to obtain the volume parameters of each phase. Among them, the matrix is ​​the continuous phase of the C / SiC composite material specimen, which is usually composed of carbonized resin or carbonized asphalt, etc., and its function is to connect the fiber bundles and transfer the load. Carbon fiber is the reinforcing phase of the C / SiC composite material specimen, and its function is to improve the strength and stiffness of the C / SiC composite material specimen and bear most of the load.

[0024] Step 14: Obtain static parameters based on the three-dimensional model of the C / SiC composite material specimen and the volume parameters of each phase; combine the identification results of each phase to analyze and obtain the basic size, distribution form, performance parameters and microstructure of each phase. The microstructure of the C / SiC composite material specimen includes the distribution and arrangement of fibers, the composition, structure and phase of the matrix.

[0025] S2. Construct a finite element unit cell model representing the needle-punched area and obtain effective performance parameters of the needle-punched area of ​​the C / SiC composite material; Step 21, the steps of constructing a representative volume unit model of the C / SiC composite material are: according to the static parameters of each phase of the C / SiC composite material specimen, a finite element unit cell model representing the needle-punched area is established.

[0026] In this embodiment, the model size of the finite element unit cell model is determined according to the static parameters of the needle-punched area of ​​the C / SiC composite material. The finite element unit cell model is constructed according to the model size using finite element analysis software. The material properties of the divided pore area are set to the minimum value. In this embodiment, the Young's modulus is set to the minimum, specifically set to 1E-06. Those skilled in the art can also set other values ​​of the elastic modulus according to actual needs, and no specific restrictions are made here. The model size of the representative volume unit of the needle-punched area of ​​the C / SiC composite material is shown in Table 1.

[0027] Table 1

[0028] Among them, the non-woven fabric layer, mesh layer, and needle-punched fiber bundle of the representative volume unit model of the needle-punched area of ​​the C / SiC composite material are all modeled using C3D6 (a unit type in ABAQUS software, representing a six-node triangular prism unit), and common node processing is guaranteed between each part; the established finite element unit cell model is as follows Figure 3 shown.

[0029] Step 22, the steps of obtaining the effective performance parameters of the needle-punched area of ​​the C / SiC composite material are: dividing the pore phase in the finite element unit cell model according to the pore volume; using finite element analysis software to apply periodic boundary conditions to the finite element unit cell model, and outputting the effective performance parameters of the needle-punched area of ​​the C / SiC composite material.

[0030] In this embodiment, the finite element analysis software used is ABAQUS (a finite element software for engineering simulation), and the effective performance of the representative volume unit model calculated is shown in Table 2.

[0031] Table 2

[0032] S3. Construct a finite element refined analysis model and obtain the bearing capacity curve and failure mode under tensile load; Step 31, the steps of constructing a finite element refined analysis model are: determining the model size and model boundary conditions of the finite element analysis model according to the static parameters of the C / SiC composite material specimen and the preset boundary conditions; setting the material properties and loads of the model according to the material properties and load conditions of the C / SiC composite material specimen; using the finite element analysis method, and constructing the finite element refined analysis model according to the model size, model boundary conditions, material properties and loads of the model. In this embodiment, the material properties and loads of the model in the finite element analysis process are set according to the material properties and load conditions of the C / SiC composite material specimen.

[0033] Among them, the material properties of the mesh of the C / SiC composite material specimen are shown in Table 3.

[0034] Table 3

[0035] Among them, the material properties of the non-woven fabric of the C / SiC composite material specimen are shown in Table 4.

[0036] Table 4

[0037] In this embodiment, the non-woven fabric layer, the web layer and the needle-punched area of ​​the finite element refined analysis model are all modeled using C3D8R (a unit type in ABAQUS software, representing an 8-node hexahedral linear reduced integration unit), and common node processing is ensured between each part. The established finite element refined analysis model is as follows Figures 5 to 8 As shown, Figure 5 This is the front view of the entire finite element refinement analysis model. Considering the calculation efficiency, the clamping joints on the left and right ends are divided with a coarser grid, and the C / SiC composite material in the middle is divided with a finer grid. Figure 6 Cross-sectional view of the C / SiC composite, showing the relative positions of the needle-punched areas. Figure 7 The refined finite element model with applied boundary conditions is shown, with a total of 5 layers of non-wefted fabrics and 5 layers of mesh alternately distributed. Figure 8 The needle-punctured area in the finite element refined model is displayed separately, and the needle-punctured holes are distributed in a columnar shape along the thickness direction of the composite material.

[0038] Step 32: The steps of obtaining the bearing capacity curve of the finite element refined analysis model are as follows: In the embodiment of the present application, based on the material properties and strength parameters of each part, the maximum stress criterion is used to determine failure of the mesh layer. The modified Hashin (a method for calculating damage to composite materials) three-dimensional failure criterion is used to carry out failure analysis of the non-weft cloth layer and the needle-punched area, and the corresponding USDFLD file (a subroutine in ABAQUS software, used to define field variables in material properties) is written, and the failure of the structure is determined by outputting the field variables; that is, the USDFLD file is introduced into ABAQUS, and displacement boundary conditions are loaded at both ends of the finite element refinement analysis model to perform static analysis, and the bearing capacity curve of the finite element refinement analysis model structure is extracted through ABAQUS processing, where the bearing capacity curve of the finite element refinement analysis model is as follows: Fig. 9 As shown, Fig. 9 The model support reaction force-displacement curve obtained by finite element analysis is shown. At the beginning, as the tensile displacement increases, the support reaction force also increases further. When the tensile displacement reaches a certain value, the support reaction force decreases instead of increasing as the tensile displacement increases, indicating that the model has failed.

[0039] Step 33: The steps of obtaining the failure mode of the C / SiC composite material specimen under the tensile load are: like Fig.10 As shown in the figure, by applying tensile load to the C / SiC composite specimen in the finite element refined analysis model, the failure mode of the finite element refined analysis model is obtained. Specifically, the weft-free fabric layer, the mesh layer and the needle-punched area are used to determine whether the structure fails through the field variables defined in the USDFLD file. The failure modes of each component are concentrated around the needle-punched area. The needle-punched area first causes the matrix tensile failure, which then causes the matrix tensile failure of the 90° weft-free fabric layer, and then the large-scale tensile failure of the mesh layer, and finally the fiber tensile failure of the 0° weft-free fabric layer, causing the material to lose its bearing capacity.

[0040] S4. Predict the load-bearing capacity of C / SiC composite specimens; Specifically, the bearing capacity curve is analyzed to obtain the curve characteristics of the bearing capacity curve; based on the curve characteristics and the failure mode, the bearing capacity of the C / SiC composite material specimen is obtained.

[0041] Among them, the curve characteristics include the inflection point, platform area and fracture point on the bearing capacity curve. Here, the curve characteristics and failure mode are used to fit and predict the data using regression analysis or neural network algorithm, and finally the bearing capacity of the C / SiC composite material specimen is obtained.

[0042] like Figure 2As shown, a bearing capacity prediction system of a needle-punched C / SiC composite material considering pores and fiber deflection of the present invention includes: a parameter acquisition module, an effective performance parameter calculation module, a failure analysis module and a prediction module, wherein the parameter acquisition module is used to obtain static parameters and volume parameters of each phase of a C / SiC composite material specimen; wherein the static parameters include the basic size, distribution form, performance parameters and microstructure of each phase of the C / SiC composite material specimen; the volume parameters include the pore volume, the matrix volume and the carbon fiber volume; the effective performance parameter calculation module is used to construct a finite element unit cell model representing the needle-punched area based on the static parameters, and use the finite element unit cell model to obtain the effective performance parameters of the needle-punched area of ​​the C / SiC composite material; the failure analysis module is used to construct a finite element refined analysis model based on the effective performance parameters and static parameters of the composite material needle-punched area; the finite element refined analysis model is subjected to static analysis to obtain a bearing capacity curve, and the failure mode of the C / SiC composite material specimen under tensile load is obtained; the prediction module is used to predict the bearing capacity of the C / SiC composite material specimen according to the bearing capacity curve and the failure mode. It should be noted that the modules in the system of the present invention can be described in the general context of computer executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, and classes that perform specific tasks or implement specific abstract data types. The present application can also be practiced in distributed computing environments, in which tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices. In addition, the various functional modules in the various embodiments of the present invention can be integrated into a processing module, or each module can exist separately, or two or more modules can be integrated into one module.

[0043] Among them, the system or module of the present invention can be implemented by a computer chip or entity, or by a product with a certain function. For the convenience of description, the above device is described by being divided into various modules according to their functions. When implementing the embodiments of the present application, the functions of each module can be implemented in the same or more software and / or hardware. Of course, the module that implements a certain function can also be implemented by combining multiple sub-modules or sub-units.

[0044] The method, system or module of the embodiment of the present invention can be implemented in the form of computer-readable program code. The controller can be implemented in any appropriate manner. For example, the controller can take the form of a microprocessor or processor and a computer-readable medium storing a computer-readable program code (such as software or firmware) that can be executed by the (micro)processor, a logic gate, a switch, an application-specific integrated circuit (English: Application Specific Integrated Circuit; Abbreviation: ASIC), a programmable logic controller and an embedded microcontroller. Examples of controllers include but are not limited to the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20 and Silicone Labs C8051F320. The memory controller can also be implemented as part of the control logic of the memory. Those skilled in the art also know that in addition to implementing the controller in a purely computer-readable program code, the controller can be implemented in the form of a logic gate, a switch, an application-specific integrated circuit, a programmable logic controller and an embedded microcontroller by logically programming the method steps. Therefore, this controller can be considered as a hardware component, and the devices included in it for implementing various functions can also be regarded as structures within the hardware component. Or even, the means for realizing various functions may be regarded as both a software module for realizing the method and a structure within a hardware component.

[0045] An embodiment of the present application further provides an electronic device, which includes: a processor, a memory, and a computer program stored in the memory. When the computer program is executed by the processor, the prediction method provided in the embodiment of the present application is implemented.

[0046] The embodiment of the present application also provides a non-volatile computer-readable storage medium, on which a computer program or instruction is stored. When the computer program or instruction is executed, the prediction method provided by the embodiment of the present application is implemented. The storage medium includes but is not limited to a random access memory (RAM), a read-only memory (ROM), a cache, a hard disk (HDD), or a memory card. The memory can be used to store computer program instructions.

[0047] The embodiment of the present application also provides a program product, including a computer program, which, when executed, is used to execute the prediction method provided by the embodiment of the present application.

[0048] In summary, through the description of the above implementation methods, it can be known that those skilled in the art can clearly understand that the present application can be implemented by means of software plus necessary hardware. Based on this understanding, the technical solution of the present application can be essentially or partly reflected in the prior art in the form of a software product, or it can be reflected in the implementation process of data migration. The computer software product can be stored in a storage medium, such as ROM / RAM, a disk, or an optical disk, including several instructions for a computer device (which can be a personal computer, a mobile terminal, a server, or a network device) to execute the methods of various embodiments of the present application or certain parts of the embodiments. The various implementation methods in this specification are described in a progressive manner, and the same or similar parts between the various implementation methods can be referred to each other, and each implementation method focuses on the differences from other implementation methods. All or part of the present application can be used in many general or special computer system environments or configurations. For example: a personal computer, a server computer, a handheld device or a portable device, a tablet device, a mobile communication terminal, a multi-processor system, a microprocessor-based system, a programmable electronic device, a network PC, a minicomputer, a mainframe computer, and a distributed computing environment including any of the above systems or devices.

[0049] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for predicting the bearing capacity of needle-punched C / SiC composites considering pores and fiber deflection, characterized in that: include: Obtain the static parameters and volume parameters of each phase of the C / SiC composite specimen; wherein the static parameters include the basic size, distribution form, performance parameters and microstructure of each phase of the C / SiC composite specimen; the volume parameters include the pore volume, matrix volume and carbon fiber volume; A finite element unit cell model representing the needle-punched area is constructed based on static parameters, and the effective performance parameters of the needle-punched area of ​​the C / SiC composite material are obtained using the finite element unit cell model. A finite element refined analysis model is constructed based on effective performance parameters and static parameters; a static analysis is performed on the finite element refined analysis model to obtain a bearing capacity curve, and the failure mode of the C / SiC composite material specimen under tensile load is obtained; The bearing capacity of C / SiC composite specimens is predicted based on the bearing capacity curve and failure mode.

2. A method for predicting the bearing capacity of a needle-punched C / SiC composite material considering pores and fiber deflection according to claim 1, characterized in that: The steps to obtain the static parameters and volume parameters of each phase of the C / SiC composite specimen are as follows: The two-dimensional image of the C / SiC composite specimen was obtained by microscopic scanning; And convert the two-dimensional image into a three-dimensional model of the C / SiC composite specimen; The deep learning algorithm is used to identify and segment the phases of the C / SiC composite specimen, where the phases of the C / SiC composite specimen include pores, a non-woven fabric layer, a mesh layer, and a needle-punched area. Determine the volume parameters of each phase of the C / SiC composite specimen; The static parameters are obtained based on the three-dimensional model of the C / SiC composite specimen and the volume parameters of each phase.

3. A method for predicting the bearing capacity of a needle-punched C / SiC composite material considering pores and fiber deflection according to claim 1, characterized in that: The steps to obtain the effective performance parameters of the needle-punched area of ​​the C / SiC composite are: The pore phase is divided in the finite element unit cell model according to the pore volume; Finite element analysis software is used to impose periodic boundary conditions on the finite element unit cell model, and the effective performance parameters of the needle-punched area of ​​the C / SiC composite material are output.

4. A method for predicting the bearing capacity of a needle-punched C / SiC composite material considering pores and fiber deflection according to claim 1, characterized in that: The steps to construct a finite element refined analysis model are: Determine the model size and model boundary conditions of the finite element analysis model according to the static parameters of the C / SiC composite material specimen and the preset boundary conditions; Set the material properties and loads of the model according to the material properties and load conditions of the C / SiC composite material specimen; The finite element analysis method is used to construct a finite element refined analysis model based on the model size, model boundary conditions, model material properties and loads.

5. The method for predicting the bearing capacity of a needle-punched C / SiC composite material considering pores and fiber deflection according to claim 1, characterized in that: The steps to predict the load-bearing capacity of C / SiC composite specimens are: Analyze the bearing capacity curve to obtain the curve characteristics of the bearing capacity curve; The bearing capacity of C / SiC composite specimens was obtained based on the curve characteristics and failure mode.

6. A method for predicting the bearing capacity of a needle-punched C / SiC composite material considering pores and fiber deflection according to claim 5, characterized in that: The curve characteristics include the inflection point, platform area and the location of the breaking point on the bearing capacity curve.

7. A bearing capacity prediction system for needle-punched C / SiC composites considering pores and fiber deflection, characterized in that: include: The parameter acquisition module is used to obtain the static parameters and volume parameters of each phase of the C / SiC composite material specimen; wherein the static parameters include the basic size, distribution form, performance parameters and microstructure of each phase of the C / SiC composite material specimen; the volume parameters include the pore volume, matrix volume and carbon fiber volume; An effective performance parameter calculation module is used to construct a finite element unit cell model representing the needle-punched area based on static parameters, and use the finite element unit cell model to obtain effective performance parameters of the needle-punched area of ​​the C / SiC composite material; Failure analysis module, used to construct a finite element refined analysis model based on the effective performance parameters and static parameters of the composite material needle-punched area; static analysis of the finite element refined analysis model is performed to obtain the bearing capacity curve, and the failure mode of the C / SiC composite material specimen under tensile load is obtained; The prediction module is used to predict the load-bearing capacity of C / SiC composite material specimens according to the load-bearing capacity curve and failure mode.

8. An electronic device, characterized in that: include: A processor, a memory, and a computer program stored in the memory, wherein when the computer program is executed by the processor, the steps of the method described in any one of claims 1 to 6 are implemented.

9. A program product, characterized in that The invention comprises a computer program, which is used to execute the steps of the method according to any one of claims 1 to 6 when the computer program is executed.

10. A storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed, it is used to execute the steps of the method described in any one of claims 1 to 6.

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