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

Abstract

The present application belongs to the technical field of mechanical simulation of woven fabric, and discloses a parameter inversion method and system of a super-elasticity model simulating the deformation of a woven fabric. The method comprises the following steps: obtaining the real load-displacement curve of the woven fabric by using basic mechanical experiments; establishing a super-elasticity model of the woven fabric; establishing a finite element model of the woven fabric to simulate the deformation process of the woven fabric under external force and obtain a simulated load-displacement curve; calculating the error between the simulated load-displacement curve and the real load-displacement curve obtained by experiments; and continuously adjusting the assignment of parameters in the super-elasticity model by using an optimization algorithm until the error meets the preset acceptable range, at which time the parameters in the super-elasticity model are the required parameter values, thereby realizing the inversion of the super-elasticity model parameters. Through the present application, the problem of inaccurate calibration of the super-elasticity model parameters of the woven fabric is solved.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field related to the mechanical simulation of woven fabrics, and more particularly, to a parameter inversion method and system of a hyperelastic model simulating the deformation of a woven fabric. BACKGROUND

[0002] Woven fabrics are fabrics woven by warp yarns and weft yarns alternately, without the need for additional sutures and suitable for fibers with relatively large bending stiffness. Woven fabrics can meet the demand for directional mechanical properties of composite materials in different service environments due to their high specific strength and high specific stiffness, and have been widely used as reinforcements in fiber-reinforced composites. Common forming processes for manufacturing fiber-reinforced composites include liquid forming processes and hot pressing forming processes. In the preforming process of the liquid forming process, the woven fabric is formed from a two-dimensional blank into a three-dimensional preform. In the hot pressing forming process, the woven fabric prepreg is formed from a two-dimensional blank into a three-dimensional 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 the woven fabric reinforced composite.

[0003] Woven fabrics are different from traditional metal materials, and exhibit strong anisotropy and nonlinear mechanical behavior during the forming process. 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, sub-elastic 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 the woven fabric, and is suitable for describing the deformation behavior of the woven fabric.

[0004] However, the material parameters of the woven fabric hyperelastic model need to be obtained from basic mechanical experiments. The usual method of determining material parameters is based on kinematic assumptions and mechanical theoretical analysis, analyzing the stress and strain state of the woven fabric in the mechanical experiment, and deducing the theoretical relationship between the material parameters and the experimental curve. Then, based on the theoretical relationship, the material parameters are directly calculated from the experimental load-displacement curve of the woven fabric. Although this method is relatively simple and direct in the calculation process, since the parameter calculation process considers many kinematic assumptions, the theoretical expression cannot accurately reflect the true deformation process of the woven fabric. Therefore, the parameters of the woven fabric hyperelastic model calculated by this method are less accurate, and cannot accurately simulate the deformation behavior of the woven fabric. SUMMARY

[0005] In view of the above defects or improvement needs of the prior art, the present application provides a parameter inversion method and system of a hyperelastic model simulating the deformation of a woven fabric, which solves the problem of low accuracy of the parameters of the hyperelastic model and the inability to accurately simulate the deformation behavior of the woven fabric.

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

[0007] Obtaining a relationship between displacement and load of the woven fabric when the woven fabric is subjected to an external force to form a real load-displacement curve;

[0008] Establishing a super-elasticity model of total strain energy of the woven fabric with respect to strain invariants;

[0009] Assigning values to parameters in the super-elasticity model, simulating a process of deformation of the woven fabric under the action of the external force by using a finite element model of the woven fabric, calculating the total strain energy of the woven fabric by using the super-elasticity model in the simulation process, calculating the load of the woven fabric by using the total strain energy, and thus obtaining a load-displacement curve in the simulation process;

[0010] Calculating an error between the load-displacement curve obtained by simulation and the real load-displacement curve, adjusting the assignment of values to the parameters in the super-elasticity model until the error meets a preset acceptable range, and thus the parameters in the super-elasticity model are the required parameter values, so as to realize inversion of the parameters of the super-elasticity model.

[0011] Further preferably, the super-elasticity model is as follows:

[0012]

[0013]

[0014] wherein C is a right Cauchy-Green strain tensor, S is a PK2 stress; I i is a strain invariant describing a certain deformation mode, including a tensile strain invariant I Ten , a shear strain invariant I Sh , and a compression strain invariant I Com ; W i is a strain energy describing a certain deformation mode, including a tensile strain energy W Ten , a shear strain energy W Sh , and a compression strain energy W Com , is a parameter of the super-elasticity model.

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

[0016] Calculating the strain invariant by using the deformation of the woven fabric when the woven fabric is subjected to the external force;

[0017] Substituting the strain invariant into the super-elasticity model to calculate the total strain energy of the woven fabric;

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

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

[0020] Further preferably, the mechanical property experiment comprises 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 according to the warp direction vector, the weft direction vector, the length, the width, the area density, the thickness, the yarn density, the displacement and the load boundary conditions, the grid type, and the material model of the woven fabric.

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

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

[0025] The hyperelastic construction module is used to construct the hyperelastic model of the deformation of the woven fabric.

[0026] The simulation module is used to construct the finite element model of the woven fabric, and to obtain the simulated load-displacement curve by simulation using the finite element model.

[0027] The inversion module is used to calculate the error between the real load-displacement curve obtained by the woven fabric and the simulated load-displacement curve, and to calculate the parameter value in the hyperelastic model according to the error.

[0028] According to another aspect of the present application, a parameter inversion system of the hyperelastic model simulating the deformation of the woven fabric is provided, and the system comprises a processor, which is used to execute the above-mentioned parameter inversion method of the hyperelastic model simulating the deformation of the woven fabric.

[0029] According to another aspect of the present application, a computer readable storage medium is provided, and a computer program is stored on the computer readable storage medium, wherein the computer program is executed by a processor to implement the above-mentioned parameter inversion method of the hyperelastic model simulating the deformation of the woven fabric.

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

[0031] 1.The present application takes the load-displacement curve obtained by experiment as the target, constructs a hyperelastic model, establishes a finite element model of the woven fabric to simulate the deformation process of the woven fabric under external force, and inversely obtains the parameters of the hyperelastic model, wherein the method does not consider kinematic assumptions in the calculation process, accurately reflects the real deformation process of the woven fabric, determines the model parameters by using a parameter optimization method, is efficient and stable, has high accuracy of model parameters, and can ensure the accuracy of subsequent simulation results.

[0032] 2.The present application provides a construction and implementation method of an anisotropic hyperelastic model for simulating the mechanical behavior of a woven fabric, which is based on the energy decomposition method and decomposes the total strain energy into strain energy related to the basic deformation mode of the woven fabric, so that the model can comprehensively consider the basic deformation behaviors such as stretching, shearing and compression of the woven fabric, and can accurately describe the anisotropy and nonlinearity of the mechanical behavior of the woven fabric, the model can be realized by a general finite element software interface, and can be used for simulation and simulation of large-scale woven fabric deformation.

[0033] 3.In the simulation process, the total strain energy of the woven fabric in the deformation process is calculated by using the hyperelastic model, the stress is calculated by using the total strain energy, and finally the load on the woven fabric is calculated by using the stress, the method uses strain energy to describe the elastic potential energy accumulated in the deformation process of the woven fabric, the deformation state of the woven fabric is only related to the strain energy, the stress and strain of any deformation state can be calculated by using the full quantity method, the calculation process is robust and stable, and at the same time, the method can be completely restored in a closed loading path, so that the deformation behavior of the woven fabric in the loading-unloading process can be simulated. BRIEF DESCRIPTION OF DRAWINGS

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

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

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

[0037] Figure 4 It is a schematic diagram of a woven fabric uniaxial tensile finite element model constructed according to the preferred embodiment of the present application;

[0038] Figure 5 It is a woven fabric uniaxial tensile load-displacement curve obtained by experiment and simulation constructed according to the preferred embodiment of the present application;

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

[0040] Figure 7 is a woven fabric off-axis tensile load-displacement curve obtained from experiment and simulation according to a preferred embodiment of the present application. DETAILED DESCRIPTION

[0041] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and should not be used to limit the present application. In addition, the technical features involved in each embodiment of the present application described below can be combined with each other as long as they do not conflict with each other.

[0042] The present application provides a parameter inversion method of a hyperelastic model simulating the deformation of a woven fabric. The hyperelastic model is developed to simulate the anisotropic mechanical behavior of the woven fabric, and is realized numerically through the subprogram interface of ABAQUS software. A parameter inversion platform is built based on ISIGHT software, and optimization iteration is performed to finally determine the parameters of the hyperelastic model. The method is efficient and stable, the model parameters are accurate, and the accuracy of the subsequent simulation results can be ensured.

[0043] As shown in Figure 1 , the present application provides a parameter inversion method of a hyperelastic model simulating the deformation of a woven fabric, which comprises the following steps:

[0044] S1: obtaining the real load-displacement curve of the woven fabric by using basic mechanical property experiment;

[0045] The woven fabric is a two-dimensional or three-dimensional woven fabric; the basic mechanical experiment of the woven fabric comprises one or more combinations of tensile, shear and compressive mechanical property experiments;

[0046] S2: developing a hyperelastic model to simulate the anisotropic mechanical behavior of the woven fabric; the model is realized numerically through the subprogram interface of ABAQUS software;

[0047] The subprogram interface of ABAQUS software includes UMAT, VUMAT, UANISOHYPER_INV and VUANISOHYPER_INV subprograms;

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

[0049]

[0050] wherein W is the total strain energy, C is the right Cauchy-Green strain tensor, and S is the PK2 stress; 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 that describes the corresponding deformation mode I i ,as follows:

[0052]

[0053] Among them, is the strain energy W that describes 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) Based on the strain invariant and the parameters of the hyperelastic model, the strain energy of the fabric due to deformation is calculated;

[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 experimental specimens, 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 a 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 calculate the simulated load-displacement curve based on the stress and strain information of the woven fabric.

[0064] (c) using a data comparison module to compare the difference between the simulated curve and the target curve; setting the simulated curve to the load-displacement curve obtained by the finite element module simulation in step (b), and setting the target curve to the actual load-displacement curve obtained by the experiment in step S1; selecting an appropriate error function to represent the difference between the simulated 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 and uses ABAQUS software to simulate the load-displacement curve of the woven fabric. It is compared with the load-displacement curve of the woven fabric obtained experimentally to verify the accuracy of the obtained parameters.

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

[0068] Example 1:

[0069] The tensile parameters of the hyperelastic model of plain carbon fiber woven fabric are determined by adopting 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) 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 load-displacement curve of the woven fabric under uniaxial tension was determined by uniaxial tension test. The effective size of the sample is 100mm×250mm. The load-displacement curve obtained by uniaxial tension test is shown as follows: Figure 5 Shown as 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 woven fabric hyperelastic model. The strain energy of the tensile part of the woven fabric hyperelastic model 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 L1 = (1, 0, 0), and the weft direction vector is L2 = (0, 1, 0). The sample length L = 250 mm, and the 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) Building a parameter inversion platform based on ISIGHT, a finite element module, a post-processing module, a data comparison module and an optimization module. In step (S2), the finite element module (ABAQUS software) is used to simulate the deformation behavior of the plain carbon fiber woven fabric in the uniaxial tensile experiment, and the simulation result file (.ODB file) is obtained. The post-processing module writes a Python script to read the simulation result file (.ODB file) and obtain the simulated and predicted uniaxial tensile load-displacement curve of the woven fabric. The data comparison module is used to compare the differences between the simulation curve and the target curve, and the simulation curve is set as the simulated and predicted uniaxial tensile load-displacement curve of the woven fabric, and the target curve is set as the load-displacement curve obtained in the uniaxial tensile experiment in step (S1). Based on the optimization module, the optimization algorithm is used to invert the tensile parameters of the hyperelastic model of the woven fabric. After 18 iterations of calculation, the tensile parameters of the plain carbon fiber woven fabric are finally determined as follows:

[0078]

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

[0080] Example 2:

[0081] The parameter inversion method of the hyperelastic model for simulating the deformation of the woven fabric is used to determine the shear parameters of the hyperelastic model of the plain carbon fiber woven fabric.

[0082] The shear parameter determination process of the hyperelastic model is as follows:

[0083] (S1) Selecting a plain carbon fiber woven fabric as a woven fabric test sample (T300K, provided by TORAY), the specific parameters of the woven fabric are as follows: face density 200 g / m 2 , thickness 0.15 mm, yarn density 5.5 roots / cm. The shear performance of the woven fabric is determined by the off-axis tensile test. The effective size of the sample is 50 mm x 120 mm. The load-displacement curve obtained by the off-axis tensile test is shown as the solid line in Figure 7 .

[0084] (S2) In the off-axis tensile test, the sample theoretically only has tensile and shear deformation, and does not have bending and compression deformation. The total strain energy W of the sample deformation includes the tensile strain energy W Ten and the shear strain energy W ShTherefore, based on the determination of the tensile parameters of the woven fabric hyperelastic model in Example 1, the bias tensile experiment 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 represented by a polynomial function as follows:

[0085]

[0086] wherein is the shear parameter of the hyperelastic model, I Sh is the shear strain invariance. The shear strain invariance 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 bias tensile experiment and the size of the sample as follows:

[0087]

[0088] wherein L, W are the length and width of the sample respectively, and u is the loading displacement of the bias tensile experiment, as shown in Figure 6 .

[0089] As shown in Figure 6 , a finite element model of the bias tensile of the woven fabric is established in the ABAQUS software. The finite element model is set in accordance with the bias tensile experiment in step (S1). In the bias tensile experiment, the loading direction and the warp and weft yarn directions are at ±45° angles, respectively, to ensure that the central region of the sample is a 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 and the weft direction vector is The length of the sample L = 12 mm, and the width of the sample W = 50 mm. A fixed constraint u x = u y = u z = 0 is applied to one end of the sample, and a displacement loading u y = 25 mm is applied to the other end of the sample, u x = u z = 0. The finite element model is meshed by using 4-node reduced integration shell elements S4R, and the mesh size is determined to be 1 mm based on the mesh sensitivity analysis.

[0090] (S3) Building a parameter inversion platform based on ISIGHT, including a finite element module, a post-processing module, a data comparison module and an optimization module. In step (S2), the finite element module (ABAQUS software) is used to simulate the deformation behavior of the plain carbon fiber woven fabric in the off-axis tensile experiment, and the simulation result file (.ODB file) is obtained. The post-processing module writes a Python script to read the simulation result file (.ODB file) and obtain the simulated and predicted off-axis tensile load-displacement curve of the woven fabric. The data comparison module is used to compare the differences between the simulation curve and the target curve, and the simulation curve is set as the simulated and predicted off-axis tensile load-displacement curve of the woven fabric, and the target curve is set as the load-displacement curve obtained in step (S1) by the off-axis tensile experiment. Based on the optimization module, the shear parameters of the hyperelastic model of the woven fabric are inverted by using an optimization algorithm. After 43 iterations of calculation, the shear parameters of the plain carbon fiber woven fabric are finally determined as follows:

[0091]

[0092] (S4) Taking the shear parameters of the hyperelastic model finally obtained in step (S3) as input, the ABAQUS software is used to simulate and predict the load-displacement curve of the plain carbon fiber woven fabric in the off-axis tensile experiment (the solid line in the middle of Figure 7 ), and compared with the load-displacement curve of the woven fabric in the off-axis tensile experiment obtained in step (S1) (the discrete points in the middle of Figure 7 ). Both are in good agreement, verifying the accuracy of the shear parameters of the hyperelastic model obtained by the method.

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

[0094] Those skilled in the art can easily understand that the above only describes the preferred embodiments of the present application and is not intended to limit the present application. Any modification, equivalent replacement and improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application.

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 the displacement and load of the woven fabric when it 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 was established; Assigning values ​​to the parameters in the hyperelastic model, simulating the deformation process of the woven fabric under the action of an external force using the finite element model of the woven fabric, calculating the total strain energy of the fabric using the hyperelastic model during the simulation, and calculating the load of the fabric using the total strain energy, thereby obtaining a load-displacement curve during the simulation; Calculating the error between the simulated load-displacement curve and the true load-displacement curve, and adjusting the values ​​of the parameters in the hyperelastic model until the error meets a preset acceptable range. At this point, the parameters in the hyperelastic model are the desired parameter values, thereby achieving inversion of the hyperelastic model parameters; The hyperelastic model is as follows: in, is the right Cauchy-Green strain tensor, is PK2 stress; To describe the strain invariant of a certain deformation mode, including the tensile strain invariant , shear strain invariant , compression strain invariant ; To describe the strain energy of a certain deformation mode, including tensile strain energy , shear strain energy , compressive strain energy , are the parameters of the hyperelastic model.

2. The parameter inversion method of a hyperelastic model for simulating woven fabric deformation according to claim 1, 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 woven fabrics when subjected to external forces; Substituting the strain invariant into the hyperelastic model to calculate the total strain energy of the fabric; 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.

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

4. The parameter inversion method of a hyperelastic model for simulating woven fabric deformation according to claim 3, characterized in that: The mechanical property test includes one or more combinations of tensile, shear and compression mechanical property tests.

5. 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.

6. The parameter inversion method of 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, grid type, and material model of the woven fabric.

7. A system for performing inversion using the parameter inversion method of the hyperelastic model for simulating woven fabric deformation according to any one of claims 1 to 6, 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 construct 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.

8. A parameter inversion system for a hyperelastic model simulating woven fabric deformation, characterized in that: The method comprises a processor configured to execute a parameter inversion method of a hyperelastic model for simulating woven fabric deformation according to any one of claims 1 to 6.

9. 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 claimed in any one of claims 1 to 6 is implemented.

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