Parameter inversion method and system of hyperelastic model for simulating woven fabric deformation

Abstract

The invention belongs to the related technical field of woven fabric mechanical simulation, and discloses a parameter inversion method and system of a hyperelastic model for simulating woven fabric deformation. The method comprises the following steps: acquiring a real load-displacement curve of the woven fabric by adopting a basic mechanical experiment; establishing a woven fabric hyperelastic model; a finite element model of the woven fabric is established, the deformation process of the woven fabric under the action of external force is simulated, and a simulated load-displacement curve is obtained; the error between the load-displacement curve obtained through simulation and the real load-displacement curve obtained through experiment is calculated, assignment of parameters in the hyperelastic model is continuously adjusted through an optimization algorithm till the error meets a preset acceptable range, and at the moment, the parameters in the hyperelastic model are needed parameter values. Therefore, the parameter inversion of the hyperelastic model is realized. According to the invention, the problem of inaccurate parameter calibration of the woven fabric hyperelastic model is solved.

Description

Technical Field

[0001] The present invention belongs to the technical field related to mechanical simulation of woven fabrics, and more specifically, relates to a parameter inversion method and system of a hyperelastic model for simulating deformation of woven fabrics. Background Art

[0002] Woven fabrics are fabrics made by alternating warp and weft yarns. They do not require additional stitching and are suitable for fibers with greater bending stiffness. Due to their high specific strength and high specific stiffness, woven fabrics can meet the requirements of composite materials for directional mechanical properties in different service environments and have been widely used as reinforcements for fiber-reinforced composites. Common forming processes for manufacturing fiber-reinforced composites include liquid forming processes and hot pressing processes. In the preforming process of the liquid forming process, the woven fabric is formed from a two-dimensional planar blank into a preform with a three-dimensional geometric shape. In the hot pressing process, the woven fabric prepreg is formed from a two-dimensional planar blank into a three-dimensional geometric part. In the above two processes, the forming process is closely related to the deformation of the woven fabric. Therefore, accurately describing and characterizing the deformation behavior of the woven fabric is the key to simulating the forming of woven fabric reinforced composites.

[0003] Woven fabrics are different from traditional metal materials. During the forming process, they show strong anisotropic and nonlinear mechanical behavior. In order to characterize the mechanical behavior of woven fabrics, a large number of material constitutive models have been developed, including non-orthogonal constitutive models, subelastic constitutive models, hyperelastic constitutive models, and second-order gradient constitutive models. Among them, the hyperelastic model can describe the nonlinear, anisotropic mechanical properties and loading and unloading processes of woven fabrics, and is suitable for describing the deformation behavior of woven fabrics.

[0004] However, the material parameters of the hyperelastic model of woven fabrics need to be obtained from basic mechanical experiments. The usual method for determining material parameters is based on kinematic assumptions and mechanical theory analysis, analyzing the stress-strain state of woven fabrics in mechanical experiments, and deriving the theoretical relationship between material parameters and experimental curves. Then, based on the theoretical relationship, the material parameters are calculated directly from the experimental load-displacement curve of the woven fabric. Although the calculation process of this method is relatively simple and direct, since many kinematic assumptions are taken into account in the parameter calculation process, the theoretical expression cannot accurately reflect the actual deformation process of the woven fabric. Therefore, the parameter accuracy of the hyperelastic model of woven fabrics calculated by this method is low, and it cannot accurately simulate the deformation behavior of woven fabrics. Summary of the invention

[0005] In view of the above defects or improvement needs of the prior art, the present invention provides a parameter inversion method and system of a hyperelastic model for simulating the deformation of woven fabrics, which solves the problem that the parameter accuracy of the hyperelastic model is low and cannot accurately simulate the deformation behavior of woven fabrics.

[0006] To achieve the above object, according to one aspect of the present invention, a parameter inversion method of a hyperelastic model for simulating woven fabric deformation is provided, the method comprising the following steps:

[0007] Obtain the relationship between displacement and load generated when the woven fabric is subjected to external force, and form a true load-displacement curve;

[0008] A hyperelastic model of the total strain energy of woven fabrics with respect to strain invariants is established;

[0009] Assigning values ​​to the parameters in the hyperelastic model, using the finite element model of the woven fabric to simulate the deformation process of the woven fabric under the action of an external force, using the hyperelastic model to calculate the total strain energy of the fabric during the simulation, and using the total strain energy to calculate the load of the fabric, so as to obtain a load-displacement curve during the simulation;

[0010] The error between the load-displacement curve obtained by calculation simulation and the real load-displacement curve is adjusted, and the assignment of the parameters in the hyperelastic model is adjusted until the error meets the preset acceptable range. At this time, the parameters in the hyperelastic model are the required parameter values, thereby realizing the inversion of the hyperelastic model parameters.

[0011] Further preferably, the hyperelastic model is as follows:

[0012]

[0013]

[0014] Where C is the right Cauchy-Green strain tensor, S is the PK2 stress; I i To describe the strain invariant of a certain deformation mode, including the tensile strain invariant I Ten , shear strain invariant I Sh , compression strain invariant I Com ; W i To describe the strain energy of a certain deformation mode, including the tensile strain energy W Ten , shear strain energy W Sh , compressive strain energy W Com , are the parameters of the hyperelastic model.

[0015] Further preferably, the load of the woven fabric is calculated according to the following steps:

[0016] The strain invariant is calculated using the deformation of the woven fabric when it is subjected to external forces;

[0017] Substituting the strain invariant into the total strain energy of the fabric calculated in the hyperelastic model;

[0018] The total strain energy is used to calculate the stress generated by the deformation of the fabric, and the load of the fabric is calculated using the stress.

[0019] Further preferably, the true load-displacement curve is obtained through a mechanical property experiment.

[0020] Further preferably, the mechanical property experiment includes one or more combinations of tensile, shear and compression mechanical property experiments.

[0021] Further preferably, the woven fabric is a two-dimensional or three-dimensional woven fabric.

[0022] Further preferably, the finite element model of the woven fabric is obtained based on the warp direction vector, weft direction vector, woven fabric length, width, surface density, thickness, yarn density, displacement and load boundary conditions, grid type, and material model.

[0023] According to another aspect of the present invention, a system for inversion using the above-mentioned parameter inversion method of the hyperelastic model simulating woven fabric deformation is provided, the system comprising an experimental module, a hyperelastic model construction module, a simulation module, and an inversion module, wherein:

[0024] The experimental module is used to obtain the real load-displacement curve of the woven fabric;

[0025] The hyperelastic building block is used to build a hyperelastic model of woven fabric deformation;

[0026] The simulation module is used to construct a finite element model of the woven fabric, and use the finite element model to perform simulation to obtain a simulated load-displacement curve;

[0027] The inversion module is used to calculate the error between the real load-displacement curve obtained by the computer fabric and the load-displacement curve obtained by simulation, and obtain the parameter value in the hyperelastic model based on the inversion calculation of the error.

[0028] According to another aspect of the present invention, a parameter inversion system for a hyperelastic model for simulating woven fabric deformation is provided, comprising a processor for executing the above-mentioned parameter inversion method for a hyperelastic model for simulating woven fabric deformation.

[0029] According to another aspect of the present invention, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the method for parameter inversion of a hyperelastic model for simulating woven fabric deformation is implemented.

[0030] In general, the above technical solutions conceived by the present invention have the following beneficial effects compared with the prior art:

[0031] 1. The present invention takes the load-displacement curve obtained from the experiment as the target, constructs a hyperelastic model, and establishes a finite element model of the woven fabric to simulate the deformation process of the woven fabric when subjected to external force, thereby inverting the parameters of the hyperelastic model. This method does not consider the kinematic assumption during the calculation process, accurately reflects the actual deformation process of the woven fabric, and uses a parameter optimization method to determine the model parameters, which is efficient and stable, and the model parameters are highly accurate, which can ensure the accuracy of subsequent simulation results.

[0032] 2. The present invention provides a method for constructing and implementing an anisotropic hyperelastic model for simulating the mechanical behavior of woven fabrics. The model decomposes the total strain energy into strain energy related to the basic deformation modes of the woven fabric based on the energy decomposition method. Therefore, the model can comprehensively consider the basic deformation behaviors of the woven fabric, such as stretching, shearing and compression, and can accurately describe the anisotropic and nonlinear mechanical behavior of the woven fabric. The model can be numerically implemented through a general finite element software interface and can be used for simulation of large-scale woven fabric deformation.

[0033] 3. In the simulation process, the present invention uses a hyperelastic model to calculate the total strain energy of the fabric during deformation, then uses the total strain energy to calculate the stress, and finally uses the stress to calculate the load on the fabric. This method uses strain energy to describe the elastic potential energy accumulated by the woven fabric during the deformation process. The deformation state of the woven fabric is only related to the strain energy. The full amount method can be used to calculate the stress and strain of any deformation state. The calculation process is robust and stable. At the same time, this method can be fully restored under a closed loading path, so it can simulate the deformation behavior of the woven fabric during the loading-unloading process. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a flow chart of a parameter inversion method of a hyperelastic model for simulating woven fabric deformation constructed according to a preferred embodiment of the present invention;

[0035] Figure 2 It is a flow chart of the numerical realization process of the woven fabric hyperelastic model constructed according to the preferred embodiment of the present invention through the ABAQUS software subroutine interface;

[0036] Figure 3 It is a flow chart of an inversion platform of woven fabric hyperelastic model parameters based on ISIGHT software constructed according to a preferred embodiment of the present invention;

[0037] Figure 4 is a schematic diagram of a uniaxially stretched finite element model of a woven fabric constructed according to a preferred embodiment of the present invention;

[0038] Figure 5 is a uniaxial tensile load-displacement curve of a woven fabric obtained by experiments and simulations constructed according to a preferred embodiment of the present invention;

[0039] Figure 6 is a schematic diagram of an off-axis stretch finite element model of a woven fabric constructed according to a preferred embodiment of the present invention;

[0040] Figure 7 The eccentric tensile load-displacement curve of the woven fabric obtained by experiments and simulations constructed according to the preferred embodiment of the present invention. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0042] The present invention provides a parameter inversion method of a hyperelastic model for simulating the deformation of woven fabrics. A hyperelastic model is developed to simulate the anisotropic mechanical behavior of woven fabrics, and is numerically implemented through a subroutine interface of ABAQUS software. A parameter inversion platform is built based on ISIGHT software, and optimization iterations are performed to finally determine the parameters of the hyperelastic model. The method is efficient and stable, and the model parameters are highly accurate, which can ensure the accuracy of subsequent simulation results.

[0043] like Figure 1 As shown, an embodiment of the present invention provides a parameter inversion method of a hyperelastic model for simulating woven fabric deformation, comprising the following steps:

[0044] S1 uses basic mechanical properties experiments to obtain the real load-displacement curve of woven fabrics;

[0045] The woven fabric is a two-dimensional or three-dimensional woven fabric; the basic mechanical tests of the woven fabric include one or more combinations of tensile, shear and compression mechanical property tests;

[0046] S2 developed a hyperelastic model to simulate the anisotropic mechanical behavior of woven fabrics; the model was numerically implemented through the subroutine interface of ABAQUS software;

[0047] The subroutine interface of ABAQUS software includes subroutines such as UMAT, VUMAT, UANISOHYPER_INV and VUANISOHYPER_INV;

[0048] The hyperelastic model of woven fabrics is as follows:

[0049]

[0050] Where W is the total strain energy, C is the right Cauchy-Green strain tensor, S is the PK2 stress; I iTo describe the strain invariant of a certain deformation mode, including the tensile strain invariant I Ten , shear strain invariant I Sh , compression strain invariant I Com ; W i To describe the strain energy of a certain deformation mode, including the tensile strain energy W Ten , shear strain energy W Sh , compressive strain energy W Com ;

[0051] The strain energy W that describes a certain deformation mode i It can be considered as a function of the strain invariant describing the corresponding deformation mode I i ,as follows:

[0052]

[0053] Among them, is the strain energy W describing a certain deformation mode i Parameters;

[0054] The total strain energy of the hyperelastic model includes one or more combinations of tensile strain energy, shear strain energy, and compressive strain energy;

[0055] Furthermore, if Figure 2 As shown, in step S2, the process of numerically implementing the hyperelastic model through the subroutine interface of ABAQUS software is as follows:

[0056] (a) Read the yarn direction vector of the woven fabric, the parameters of the hyperelastic model, and the deformation gradient tensor from the subroutine interface of the ABAQUS software;

[0057] (b) Based on the yarn direction vector and deformation gradient tensor of the woven fabric, various strain invariants are defined and calculated to describe the deformation behavior of the woven fabric;

[0058] (c) The strain energy of the fabric due to deformation is calculated based on the strain invariant and the parameters of the hyperelastic model;

[0059] (d) Based on the strain energy and deformation gradient tensor of the woven fabric deformation, the stress of the fabric after deformation is calculated and returned to the ABAQUS main program.

[0060] S3 built a parameter inversion platform based on ISIGHT software, performed optimization iterations, and determined the parameters of the hyperelastic model;

[0061] like Figure 3 As shown, step S3 is specifically as follows:

[0062] (a) Build a parameter inversion platform based on ISIGHT software, including finite element module, post-processing module, data comparison module and optimization module;

[0063] (b) Based on the geometric parameters and loading conditions of the specimens in the experiment, a finite element model of the woven fabric was established in the finite element module (ABAQUS software), the deformation behavior of the woven fabric in the basic mechanical experiment was simulated, and the calculation result file containing stress and strain information was obtained; a post-processing module was written using Python scripts to read the calculation result file generated by the finite element module, and the simulated load-displacement curve was calculated based on the stress and strain information of the woven fabric;

[0064] (c) using a data comparison module to compare the difference between the simulation curve and the target curve; setting the simulation curve to be the load-displacement curve obtained by the finite element module simulation in step (b), and setting the target curve to be the actual load-displacement curve obtained by the experiment in step S1; selecting a suitable error function to represent the difference between the simulation curve and the target curve;

[0065] (d) The optimization module uses an optimization algorithm (such as the least squares method, gradient descent method, etc.) to invert the parameters of the hyperelastic model of the woven fabric; sets the initial guess value and constraint range of the hyperelastic model; sets a given error tolerance as the termination condition for the end of the optimization process; and uses the optimization algorithm to iteratively adjust the parameters of the hyperelastic model until the load-displacement curve obtained by simulation and the load-displacement curve obtained by experiment are less than the error tolerance, and the optimization is terminated. At this time, the hyperelastic model parameters obtained are the required parameter values.

[0066] S4 takes the final hyperelastic model parameters as input, uses ABAQUS software to simulate and obtain the load-displacement curve of the woven fabric, and compares it with the load-displacement curve of the woven fabric obtained from the experiment to verify the accuracy of the obtained parameters.

[0067] The present invention will be further described below with reference to specific embodiments.

[0068] Embodiment 1:

[0069] The tensile parameters of the hyperelastic model of plain carbon fiber woven fabric are determined by using the parameter inversion method of the hyperelastic model for simulating woven fabric deformation proposed in the present invention.

[0070] The process of determining the stretching parameters of the hyperelastic model is as follows:

[0071] (S1) A plain carbon fiber woven fabric was selected as the woven fabric test sample (T300K, provided by TORAY formula). The specific parameters of the woven fabric are as follows: surface density 200g / m 2, thickness 0.15mm, yarn density 5.5 yarns / cm. Through uniaxial tensile test, the load-displacement curve of the woven fabric under uniaxial tension is measured. The effective size of the sample is 100mm×250mm. The load-displacement curve obtained by uniaxial tensile test is as follows Figure 5 Shown by the solid line.

[0072] (S2) In a uniaxial tensile test, the specimen theoretically only experiences tensile deformation, without shear, bending, or compression deformation. The total strain energy W of the specimen deformation only includes the tensile strain energy W Ten Therefore, the uniaxial tensile test can be used to determine the tensile parameters of the hyperelastic model of woven fabrics. The strain energy of the tensile part of the hyperelastic model of woven fabrics can be expressed by a polynomial function as follows:

[0073]

[0074] in is the stretch parameter of the hyperelastic model, I Ten is the tensile strain invariant. The tensile strain invariant is used to describe the uniaxial tensile deformation of woven fabrics and can be obtained from the engineering strain ε in the uniaxial tensile test. y The calculation is as follows:

[0075] I Ten =(1+ε y ) 2

[0076] like Figure 4 As shown, a uniaxial tensile finite element model of woven fabric is established in ABAQUS software. The finite element model setting is consistent with the uniaxial tensile experiment setting in step (S1). In the uniaxial tensile experiment, the loading direction is consistent with the direction of one family of yarns to ensure the measurement of unidirectional tensile properties along the yarn direction. The woven fabric used is a two-dimensional woven fabric, which is woven alternately by warp yarns and weft yarns. The warp direction vector is L 1 =(1, 0, 0), the weft direction vector is L 2 =(0, 1, 0). Sample length L = 250 mm, sample width W = 100 mm. A fixed constraint u is applied to one end of the sample. x =u y =u z = 0, displacement load u is applied to the other end of the specimen y =2.5mm,u x =u z = 0. The 4-node reduced integration shell element S4R was used to divide the finite element model mesh, and the mesh size was determined to be 2 mm based on mesh sensitivity analysis.

[0077] (S3) Based on ISIGHT, a parameter inversion platform, a finite element module, a post-processing module, a data comparison module and an optimization module are built. In step (S2), a finite element module (ABAQUS software) is used to simulate the deformation behavior of plain carbon fiber woven fabric in a uniaxial tensile test, and a simulation result file (.ODB file) is obtained. The post-processing module writes a Python script, reads the simulation result file (.ODB file), and obtains the simulated predicted uniaxial tensile load-displacement curve of the woven fabric. The data comparison module is used to compare the difference between the simulation curve and the target curve, and the simulation curve is set to the simulated predicted uniaxial tensile load-displacement curve of the woven fabric, and the target curve is set to the load-displacement curve obtained in the uniaxial tensile experiment in step (S1). Based on the optimization module, an optimization algorithm is used to invert the tensile parameters of the woven fabric hyperelastic model. After 18 iterative calculations, the tensile parameters of the plain carbon fiber woven fabric are finally determined as follows:

[0078]

[0079] (S4) using the tensile parameters of the hyperelastic model finally obtained in step (S3) as input, and using ABAQUS software to simulate and predict the load-displacement curve of the uniaxial tension of the plain carbon fiber woven fabric ( Figure 5 solid line), compared with the load-displacement curve of the uniaxial tensile test of the woven fabric obtained in step (S1) ( Figure 5 The two are in good agreement, which verifies the accuracy of this method in obtaining the stretching parameters of the hyperelastic model.

[0080] Embodiment 2:

[0081] The shear parameters of the hyperelastic model of plain carbon fiber woven fabric are determined by using the parameter inversion method of the hyperelastic model for simulating woven fabric deformation proposed in the present invention.

[0082] The process of determining the shear parameters of the hyperelastic model is as follows:

[0083] (S1) A plain carbon fiber woven fabric was selected as the woven fabric test sample (T300K, provided by TORAY formula). The specific parameters of the woven fabric are as follows: surface density 200g / m 2 , thickness 0.15mm, yarn density 5.5 yarns / cm. The shear properties of the woven fabric were measured by eccentric tensile test. The effective size of the sample is 50mm×120mm. The load-displacement curve obtained by the eccentric tensile test is shown in Figure 7 Shown by the solid line.

[0084] (S2) In the eccentric tensile test, the specimen theoretically only has tensile and shear deformations, and no bending, compression, or other deformations. The total strain energy W of the specimen deformation includes the tensile strain energy W Ten and shear strain energy W ShTherefore, based on the tensile parameters of the woven fabric hyperelastic model determined in Example 1, the eccentric tensile test can be used to determine the shear parameters of the woven fabric hyperelastic model. The strain energy of the shear part of the woven fabric hyperelastic model can be expressed by a polynomial function as follows:

[0085]

[0086] in is the shear parameter of the hyperelastic model, I Sh is the shear strain invariant. The shear strain invariant can be defined as the shear angle γ, which can be used to describe the shear deformation of the warp and weft yarns of the woven fabric and can be calculated from the displacement of the eccentric tensile test and the size of the specimen as follows:

[0087]

[0088] Where L and W are the length and width of the specimen, respectively, and u is the loading displacement of the eccentric tensile test, as shown in Figure 6 shown.

[0089] like Figure 6 As shown, a finite element model of eccentric tensile test of woven fabric is established in ABAQUS software. The finite element model setting is consistent with the eccentric tensile test setting in step (S1). In the eccentric tensile test, the loading direction is at an angle of ±45° with the warp and weft directions respectively to ensure that the central area of ​​the specimen is pure shear deformation. The woven fabric used is a two-dimensional woven fabric, which is woven alternately by warp and weft yarns. The warp direction vector is The weft direction vector is The length of the specimen is L = 12 mm, and the width of the specimen is W = 50 mm. A fixed constraint u is applied to one end of the specimen. x =u y =u z = 0, displacement load u is applied to the other end of the specimen y =25mm,u x =u z = 0. The 4-node reduced integration shell element S4R was used to divide the finite element model mesh, and the mesh size was determined to be 1 mm based on mesh sensitivity analysis.

[0090] (S3) A parameter inversion platform is built based on ISIGHT, including a finite element module, a post-processing module, a data comparison module and an optimization module. In step (S2), a finite element module (ABAQUS software) is used to simulate the deformation behavior of plain carbon fiber woven fabric in an eccentric tensile test, and a simulation result file (.ODB file) is obtained. The post-processing module writes a Python script, reads the simulation result file (.ODB file), and obtains the simulated predicted eccentric tensile load-displacement curve of the woven fabric. The data comparison module is used to compare the difference between the simulation curve and the target curve, and the simulation curve is set to the simulated predicted eccentric tensile load-displacement curve of the woven fabric, and the target curve is set to the load-displacement curve obtained in the eccentric tensile test in step (S1). Based on the optimization module, an optimization algorithm is used to invert the shear parameters of the hyperelastic model of the woven fabric. After 43 iterative calculations, the shear parameters of the plain carbon fiber woven fabric are finally determined as follows:

[0091]

[0092] (S4) using the shear parameters of the hyperelastic model finally obtained in step (S3) as input, and using ABAQUS software to simulate and predict the load-displacement curve of the eccentric stretch of the plain carbon fiber woven fabric ( Figure 7 solid line), compared with the load-displacement curve of the eccentric tensile test of the woven fabric obtained in step (S1) ( Figure 7 The two are in good agreement, which verifies the accuracy of this method in obtaining the shear parameters of the hyperelastic model.

[0093] The specific implementation of each module can refer to the description in the method embodiment, and the embodiment of the present invention will not be repeated.

[0094] It will be easily understood by those skilled in the art that 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 and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A parameter inversion method for a hyperelastic model simulating woven fabric deformation, characterized in that: The method comprises the following steps: Obtain the relationship between displacement and load generated when the woven fabric is subjected to external force, and form a true load-displacement curve; A hyperelastic model of the total strain energy of woven fabrics with respect to strain invariants is established; Assigning values ​​to the parameters in the hyperelastic model, using the finite element model of the woven fabric to simulate the deformation process of the woven fabric under the action of an external force, using the hyperelastic model to calculate the total strain energy of the fabric during the simulation, and using the total strain energy to calculate the load of the fabric, so as to obtain a load-displacement curve during the simulation; The error between the load-displacement curve obtained by calculation simulation and the real load-displacement curve is adjusted, and the assignment of the parameters in the hyperelastic model is adjusted until the error meets the preset acceptable range. At this time, the parameters in the hyperelastic model are the required parameter values, thereby realizing the inversion of the hyperelastic model parameters.

2. A parameter inversion method for a hyperelastic model simulating woven fabric deformation according to claim 1 or 2, characterized in that: The hyperelastic model is as follows: Where C is the right Cauchy-Green strain tensor, S is the PK2 stress; I i To describe the strain invariant of a certain deformation mode, including the tensile strain invariant I Ten , shear strain invariant I Sh , compression strain invariant I Com ; W i To describe the strain energy of a certain deformation mode, including the tensile strain energy W Ten , shear strain energy W Sh , compressive strain energy W Com , are the parameters of the hyperelastic model.

3. A parameter inversion method for a hyperelastic model simulating woven fabric deformation according to claim 1 or 2, characterized in that: The load of the woven fabric is calculated according to the following steps: The strain invariant is calculated using the deformation of the woven fabric when it is subjected to external forces; Substituting the strain invariant into the total strain energy of the fabric calculated in the hyperelastic model; The total strain energy is used to calculate the stress generated by the deformation of the fabric, and the load of the fabric is calculated using the stress.

4. A parameter inversion method for a hyperelastic model for simulating woven fabric deformation according to claim 1 or 2, characterized in that: The actual load-displacement curve is obtained through mechanical property experiments.

5. The parameter inversion method of a hyperelastic model for simulating woven fabric deformation according to claim 1, characterized in that: The mechanical property experiment includes one or more combinations of tensile, shear and compressive mechanical property experiments.

6. The parameter inversion method of a hyperelastic model for simulating woven fabric deformation according to claim 1, characterized in that: The woven fabric is a two-dimensional or three-dimensional woven fabric.

7. A parameter inversion method for a hyperelastic model for simulating woven fabric deformation according to claim 1, characterized in that: The finite element model of the woven fabric is constructed based on the warp direction vector, weft direction vector, length, width, surface density, thickness, yarn density, displacement and load boundary conditions, mesh type, and material model of the woven fabric.

8. A system for inversion using the parameter inversion method of the hyperelastic model for simulating woven fabric deformation according to any one of claims 1 to 7, characterized in that: The system includes an experimental module, a hyperelastic model building module, a simulation module, and an inversion module, among which: The experimental module is used to obtain the real load-displacement curve of the woven fabric; The hyperelastic building block is used to build a hyperelastic model of woven fabrics; The simulation module is used to construct a finite element model of the woven fabric, and use the finite element model to perform simulation to obtain a simulated load-displacement curve; The inversion module is used to calculate the error between the real load-displacement curve of the computer fabric and the load-displacement curve obtained by simulation, and obtain the parameter value in the hyperelastic model through inversion calculation based on the error.

9. A parameter inversion system for a hyperelastic model simulating woven fabric deformation, characterized in that: It comprises a processor, wherein the processor is used to execute a parameter inversion method of a hyperelastic model for simulating woven fabric deformation as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for parameter inversion of a hyperelastic model for simulating woven fabric deformation as described in any one of claims 1 to 7 is implemented.

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