Effectiveness evaluation method and device for rubber simulation data, equipment and storage medium

Abstract

The invention relates to a rubber simulation data effectiveness evaluation method, device and equipment and a storage medium, and the method comprises the steps: determining the real strain data of reference rubber and target rubber, and determining the simulation strain data of the reference rubber and the target rubber, the target rubber being prepared after being modified based on the formula of the reference rubber; determining a first relative difference between the reference rubber and the target rubber based on the real strain force data, and determining a second relative difference between the reference rubber and the target rubber based on the simulated strain force data; and if the first relative difference value and / or the second difference value meet the preset condition, marking the simulation strain force data of the target rubber as effective data. Meanwhile, the reliability of a simulation result of the verified rubber is evaluated by comparing actual measurement data and simulation data of the rubber which is related to the verified rubber and has verified performance; the problem that the evaluation reliability is poor due to errors of actual measurement data caused by factors such as non-uniform materials of the verified rubber is effectively avoided.

Description

Technical Field

[0001] The embodiments of this specification relate to the field of computers, and more particularly to a method, device, equipment and medium for evaluating the effectiveness of rubber simulation data. Background Art

[0002] In the field of rubber manufacturing, rubber is a hyperelastic in terms of its mechanical properties, so the performance of rubber is gradually verified by computer simulation. Generally, multiple corresponding mathematical and physical parameters are fitted through test results, and the physical properties of the material are characterized by a limited number of parameters. However, since the parameters of the simulated hyperelastic constitutive model are not intuitive, it is difficult to directly deduce the mechanical properties of the material from the parameters, and it is impossible to make an intuitive evaluation.

[0003] In order to verify the reliability of the physical characteristics and real performance of simulation reasoning, the corresponding constitutive equation parameters are usually fitted based on the test data; then the accuracy of the fitting parameters is determined by the degree of overlap between the fitting curve generated by the constitutive equation parameters and the corresponding test data curve. However, due to the certain heterogeneity of rubber materials, there may be problems such as poor repeatability of rubber test parameters and large data differences. In some cases, the simulation results are reliable, but the measurement data is inaccurate due to the heterogeneity of the actual rubber product material, and the difference in the comparison results is large, which negates the simulation results. In some cases, the simulation results may be problematic, and the measurement data is inaccurate due to the heterogeneity of the rubber product material, but the wrong simulation results are confirmed.

[0004] Therefore, an effective simulation evaluation method is urgently needed to solve the above problems. Summary of the invention

[0005] In view of this, the present invention provides a method for evaluating the effectiveness of rubber simulation data. One or more embodiments of the present invention also relate to a device for evaluating the effectiveness of rubber simulation data, a computing device, and a computer-readable storage medium to solve the technical defects existing in the prior art.

[0006] A first aspect of the present invention provides a method for evaluating the effectiveness of rubber simulation data, comprising: determining real strain data of the reference rubber and the target rubber, and determining simulated strain data of the reference rubber and the target rubber; Determining a first relative difference between the reference rubber and the target rubber based on the real strain data, and determining a second relative difference between the reference rubber and the target rubber based on the simulated strain data; If the first relative difference and / or the second relative difference meets a preset condition, the simulated strain data of the target rubber is marked as valid data.

[0007] In some embodiments of the present invention, determining the real strain data of the reference rubber and the target rubber, and determining the simulated strain data of the reference rubber and the target rubber include: Determine the strain curves of the reference rubber and the target rubber respectively based on the real strain data; Determining a set of sampling points on the strain-force curve based on a preset sampling rate; Acquiring sampling data from the strain-force curve of the reference rubber according to the sampling point set to form a first sampling parameter set, and acquiring sampling data from the strain-force curve of the target rubber to form a second sampling parameter set; The first sampling set is used as the real strain force data of the reference rubber, and the second sampling set is used as the real strain force data of the target rubber.

[0008] In some embodiments of the present invention, determining a first relative difference between the reference rubber and the target rubber based on the real strain data comprises: Determine a target sampling point from the sampling point set, wherein the target sampling point is any sampling point in the sampling point set; Determine first sampling data corresponding to the target sampling point in the first sampling set, and second sampling data corresponding to the target sampling point in the second sampling set; Determine a difference between the first sampling data and the second sampling data, and use a ratio of the difference to the first sampling data as a relative difference corresponding to the sampling point; A first relative difference value is determined based on the relative differences corresponding to all target sampling points.

[0009] In some embodiments of the present invention, determining the real strain data of the reference rubber and the target rubber, and determining the simulated strain data of the reference rubber and the target rubber include: constructing a fitting model of the reference rubber based on the strain-force curve of the reference rubber, and constructing a fitting model of the target rubber based on the strain-force curve of the target rubber; Determining a first simulation parameter set corresponding to the reference rubber according to the fitting model of the reference rubber and the sampling point set, and determining a second simulation parameter set corresponding to the target rubber according to the fitting model of the target rubber and the sampling point set; The first simulation parameter set is used as the simulation strain data of the reference rubber, and the second simulation parameter set is used as the simulation strain data of the target rubber.

[0010] In some embodiments of the present invention, determining a second relative difference between the reference rubber and the target rubber based on the simulated strain data comprises: Determine a target sampling point from the sampling point set, wherein the target sampling point is any sampling point in the sampling point set; Determine first simulation data corresponding to the target sampling point in the first simulation parameter set, and second simulation data corresponding to the target sampling point in the second simulation parameter set; Determine a difference between the first simulation data and the second simulation data, and use a ratio of the difference to the first simulation data as a relative difference corresponding to the sampling point; A second relative difference value is determined based on the relative difference values ​​corresponding to all target sampling points.

[0011] In some embodiments of the present invention, if the first relative difference and / or the second relative difference meets a preset condition, marking the simulated strain data of the target rubber as valid data includes: If the first relative difference and / or the second relative difference is smaller than a preset value, the simulated strain data of the target rubber is marked as valid data.

[0012] In some embodiments of the present invention, if the first relative difference and / or the second relative difference meets a preset condition, marking the simulated strain data of the target rubber as valid data includes: If the first relative difference and / or the second relative difference have the same sign, the simulated strain data of the target rubber is marked as valid data.

[0013] A second aspect of the present invention further provides a device for evaluating the effectiveness of rubber simulation data, comprising: A data acquisition module, used to determine the real strain data of the reference rubber and the target rubber, and to determine the simulated strain data of the reference rubber and the target rubber; a data processing module, configured to determine a first relative difference between the reference rubber and the target rubber based on the real strain data, and to determine a second relative difference between the reference rubber and the target rubber based on the simulated strain data; The simulation evaluation module is configured to mark the simulated strain data of the target rubber as valid data if the first relative difference and / or the second relative difference meets a preset condition.

[0014] A third aspect of the present invention further provides a computing device, comprising: Memory and processor; The memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions. When the computer executable instructions are executed by the processor, the steps of the above tire formula effectiveness evaluation method are implemented.

[0015] According to a fourth aspect of the present invention, a computer-readable storage medium is provided, which stores computer-executable instructions, and when the instructions are executed by a processor, the steps of the above-mentioned tire formula effectiveness evaluation method are implemented.

[0016] The present invention has the following beneficial effects: when determining the credibility of the simulation result of the verified rubber, the reliability of the simulation result is evaluated not only by comparing the actual measurement data of the verified rubber with the simulated data, but also by comparing the actual measurement data of the rubber with verified performance related to the verified rubber with the simulation data to evaluate the reliability of the simulation result of the verified rubber, thereby effectively avoiding the problem of poor evaluation reliability caused by the error of the actual measurement data of the verified rubber due to factors such as material non-uniformity. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a flow chart of a method for evaluating the effectiveness of rubber simulation data provided by one embodiment of the present invention; Figure 2 is a schematic diagram of multiple reference rubber stress-strain curves provided by an embodiment of the present invention; Figure 3 A schematic diagram of an average stress-strain curve of a reference rubber provided in one embodiment of the present invention; Figure 4 A schematic diagram of sampling point selection provided by an embodiment of the present invention; Figure 5 A schematic structural diagram of a device for evaluating the effectiveness of rubber simulation data provided by one embodiment of the present invention; Figure 6 A schematic diagram of the structure of a computer device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0018] Many specific details are described in the following description to facilitate a full understanding of this specification. However, this specification can be implemented in many other ways than those described herein, and those skilled in the art can make similar generalizations without violating the connotation of this specification, so this specification is not limited to the specific implementation disclosed below.

[0019] The terms used in one or more embodiments of this specification are only for the purpose of describing specific embodiments, and are not intended to limit one or more embodiments of this specification. The singular forms of "a" and "the" used in one or more embodiments of this specification and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used in one or more embodiments of this specification refers to and includes any or all possible combinations of one or more associated listed items.

[0020] It should be understood that although the terms first, second, etc. may be used to describe various information in one or more embodiments of this specification, this information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of this specification, the first may also be referred to as the second, and similarly, the second may also be referred to as the first. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0021] like Figure 1 As shown, the first aspect of the present invention provides a method for evaluating the effectiveness of rubber simulation data, comprising: Step S1, determining the real strain data of the reference rubber and the target rubber, and determining the simulated strain data of the reference rubber and the target rubber; Step S2, determining a first relative difference between the reference rubber and the target rubber based on the real strain data, and determining a second relative difference between the reference rubber and the target rubber based on the simulated strain data; Step S3: if the first relative difference and / or the second relative difference meets a preset condition, marking the simulated strain data of the target rubber as valid data.

[0022] In an embodiment of the present invention, the reference rubber is a rubber with determined properties, such as a standard sample rubber of a corresponding formula; the target rubber is a rubber or rubber product with properties to be determined that is produced after modifying some parameters based on the reference rubber; Strain data refers to the ratio of the nominal stress and nominal strain performance of rubber, that is, nominal stress-nominal strain data; The real strain data refers to the nominal stress-nominal strain data actually measured on the manufactured rubber; The simulated strain data refers to the nominal stress-nominal strain data calculated by the relevant simulation algorithm; The first relative difference is a difference calculated from the real strain data of the reference rubber and the target rubber, for example, the real strain data of the target rubber minus the real strain data of the reference rubber, or the real strain data of the reference rubber minus the real strain data of the target rubber; The second relative difference is the difference calculated from the strain data of the reference rubber and the target rubber. Like the first relative difference, the difference can be calculated by subtracting the simulated strain data of the reference rubber from the simulated strain data of the target rubber, or by subtracting the simulated strain data of the target rubber from the simulated strain data of the reference rubber, according to specific needs.

[0023] In an embodiment of the present invention, in step S1, firstly, the real strain data of the reference rubber and the target rubber are determined, and the simulated strain data of the reference rubber and the target rubber are determined. If the real strain data and the simulated strain data of the reference rubber have been previously subjected to corresponding measurement and simulation operations and confirmed to be credible, the corresponding existing results can be directly obtained. If there are no corresponding existing results, it is necessary to measure the corresponding reference rubber to perform tensile, compression or shear tests to obtain the stress-strain relationship of the reference rubber to obtain the corresponding real strain data. Then, the corresponding simulated strain data is obtained according to the real strain data through the corresponding simulation algorithm. Similarly, the stress-strain relationship of the reference rubber is obtained by performing tensile, compression or shear tests on the target rubber to obtain the corresponding real strain data. Then, the corresponding simulated strain data is obtained according to the real strain data through the corresponding simulation algorithm.

[0024] In step S2, according to the two data dimensions of the real strain force data and the simulated strain force data, the data differences between the target rubber and the reference rubber in the two dimensions are calculated respectively to obtain the corresponding first relative difference and second relative difference.

[0025] In step S3, the first relative difference is the relative difference between the target rubber and the reference rubber in real stress data, and the second relative difference is the relative difference between the target rubber and the reference rubber in real strain data. If the difference between the two is within a certain range, it can be confirmed that the performance parameters of the target rubber and the performance parameters of the reference rubber are close in both real strain data and simulated strain data, and the simulated strain data of the target rubber is credible. It can then be determined that the simulation result of the target rubber is reliable.

[0026] In some embodiments of the present invention, determining the real strain data of the reference rubber and the target rubber, and determining the simulated strain data of the reference rubber and the target rubber include: Determine the strain curves of the reference rubber and the target rubber respectively based on the real strain data; Determining a set of sampling points on the strain-force curve based on a preset sampling rate; Acquiring sampling data from the strain-force curve of the reference rubber according to the sampling point set to form a first sampling parameter set, and acquiring sampling data from the strain-force curve of the target rubber to form a second sampling parameter set; The first sampling set is used as the real strain force data of the reference rubber, and the second sampling set is used as the real strain force data of the target rubber.

[0027] In this embodiment, after determining the real strain force data of the reference rubber and the target rubber, the strain force curves of the real strain force data of the reference rubber and the target rubber are fitted through corresponding calculation tools based on the real strain force data of the reference rubber and the target rubber. Then, sampling is performed from the strain force curves corresponding to the reference rubber and the target rubber according to a preset sampling rate to obtain discrete sampling data, which respectively form a first sampling parameter set and a second sampling parameter set, wherein the first sampling parameter set is the discrete real strain force data of the reference rubber, and the second sampling parameter set is the discrete real strain force data of the target rubber. Then, the discrete first sampling parameter set and the second sampling parameter set are used as the real strain force data of the reference rubber and the real strain force data of the target rubber, respectively, for subsequent calculations.

[0028] In some embodiments of the present application, the strain curves of the reference rubber and the target rubber can be fitted by multiple sets of data, for example, multiple sets of real strain data of the reference rubber and the target rubber are obtained respectively, and the strain curves corresponding to the reference rubber and the target rubber are fitted by taking the average value of the multiple sets of real strain data. For example, taking the reference rubber as an example, Figure 2 As shown, three sets of true strain data of reference rubber are selected for fitting, and the fitting results are shown in Figure 3 shown.

[0029] Further, after obtaining the true strain force curve corresponding to the reference rubber, multiple sampling points are selected from the corresponding true strain force curve based on a preset sampling rate, and the values ​​of the true strain force curve at the multiple sampling points are used as the true strain force data of the reference rubber. The corresponding schematic diagram is shown in FIG. Figure 4 As shown in the figure, when the sampling rate is 10, 10 points are evenly selected from the true strain curve corresponding to the reference rubber, that is, arrive There are 10 sampling points in total, and the values ​​of the 10 sampling points on the true strain curve of the reference rubber are arrive , then the first sampling parameter set is ( , ), The value range of is from 1 to 10. Based on the same sampling principle, the sampling of the real strain curve of the target rubber will also obtain a second sampling parameter set containing 10 data ( , ), The value range is from 1 to 10, where It represents the value of the corresponding sampling point on the true strain-stress curve of the target rubber.

[0030] In some embodiments of the present invention, determining a first relative difference between the reference rubber and the target rubber based on the real strain data comprises: Determine a target sampling point from the sampling point set, wherein the target sampling point is any sampling point in the sampling point set; Determine first sampling data corresponding to the target sampling point in the first sampling set, and second sampling data corresponding to the target sampling point in the second sampling set; Determine a difference between the first sampling data and the second sampling data, and use a ratio of the difference to the first sampling data as a relative difference corresponding to the sampling point; A first relative difference value is determined based on the relative differences corresponding to all target sampling points.

[0031] In this embodiment, as described above, based on the discrete first sampling parameter set and the second sampling parameter set respectively obtained based on the real strain curves of the reference rubber and the target rubber, the corresponding difference is calculated based on the corresponding sampling points and the data corresponding to the same sampling points. The specific calculation formula is: That is, at the same sampling point, the sampling value corresponding to the reference rubber ( ) minus the sample value corresponding to the target rubber ( ), and the subtraction result is divided by the sampling value of the reference rubber at the sampling point ( ), and obtain the corresponding first relative difference It should be noted that in the embodiment of the present invention, the first relative difference is not a data, but a group of data, that is, a set of relative differences corresponding to each sampling point.

[0032] In some embodiments of the present invention, determining the real strain data of the reference rubber and the target rubber, and determining the simulated strain data of the reference rubber and the target rubber include: constructing a fitting model of the reference rubber based on the strain-force curve of the reference rubber, and constructing a fitting model of the target rubber based on the strain-force curve of the target rubber; Determining a first simulation parameter set corresponding to the reference rubber according to the fitting model of the reference rubber and the sampling point set, and determining a second simulation parameter set corresponding to the target rubber according to the fitting model of the target rubber and the sampling point set; The first simulation parameter set is used as the simulation strain data of the reference rubber, and the second simulation parameter set is used as the simulation strain data of the target rubber.

[0033] In this embodiment, a hyperelastic constitutive fitting model of the reference rubber is constructed based on the strain force curve of the reference rubber by using a corresponding simulation tool, that is, the constitutive parameters of the corresponding hyperelastic constitutive fitting model are obtained, and then the hyperelastic constitutive fitting model is used to predict the stress at the above sampling point ( arrive ) corresponding to the reference rubber, and 10 simulation parameters ( , ), It means that the hyperelastic constitutive fitting model is used at the sampling point The predicted value of The value range is from 1 to 10.

[0034] Further, based on the same principle, a hyperelastic constitutive fitting model of the target rubber is constructed based on the strain-force curve of the target rubber, that is, the constitutive parameters of the corresponding hyperelastic constitutive fitting model are obtained, and then the hyperelastic constitutive fitting model is used to predict the stress at the above sampling point ( arrive ) corresponding to the reference rubber, that is, 10 simulation parameters ( , ), It means that the hyperelastic constitutive fitting model is used at the sampling point The predicted value of The value range is from 1 to 10.

[0035] further,( , ) is the first simulation parameter set corresponding to the reference rubber, ( , ) is the second simulation parameter set corresponding to the target rubber, and then ( , )and( , ) are used as the simulation strain data of the reference rubber and the target rubber respectively.

[0036] In some embodiments of the present invention, determining a second relative difference between the reference rubber and the target rubber based on the simulated strain data comprises: Determine a target sampling point from the sampling point set, wherein the target sampling point is any sampling point in the sampling point set; Determine first simulation data corresponding to the target sampling point in the first simulation parameter set, and second simulation data corresponding to the target sampling point in the second simulation parameter set; Determine a difference between the first simulation data and the second simulation data, and use a ratio of the difference to the first simulation data as a relative difference corresponding to the sampling point; A second relative difference value is determined based on the relative difference values ​​corresponding to all target sampling points.

[0037] In this embodiment, as mentioned above, the first simulation data and the second simulation data are both predicted values ​​of the corresponding hyperelastic constitutive fitting model at the corresponding sampling points, so the corresponding first simulation parameter set ( , ) and the second simulation parameter set ( , ). According to the order of sampling points, the data in the two sets are traversed one by one, and relative difference calculation is performed. The calculation formula of relative difference is:

[0038] That is, the predicted value of the hyperelastic constitutive fitting model of the reference model corresponding to each sampling point is subtracted from the predicted value of the hyperelastic constitutive fitting model of the target rubber, and then divided by the predicted value of the hyperelastic constitutive fitting model of the reference model. In this way, the corresponding relative difference at multiple sampling points is obtained. . The number of data in is the same as the number of sampling points.

[0039] In some embodiments of the present invention, if the first relative difference and / or the second relative difference meets a preset condition, marking the simulated strain data of the target rubber as valid data includes: If the first relative difference and / or the second relative difference is smaller than a preset value, the simulated strain data of the target rubber is marked as valid data.

[0040] In the embodiment of the present invention, as described above, when obtaining the first relative difference And the corresponding second relative difference After that, we traverse each data in the two and subtract them one by one, that is, . Further determine whether the absolute value of the difference after subtraction is greater than a predetermined value, for example, the predetermined value is 0.03. If the first relative difference value of all sampling points is and the second relative difference If the absolute value of the difference after subtraction is less than 0.03, it means that whether it is the strain data actually measured or the simulated strain data simulated, the performance of the target rubber is close to that of the reference rubber, and the simulation result of the target rubber is reliable.

[0041] In some embodiments of the present invention, if the first relative difference and / or the second relative difference meets a preset condition, marking the simulated strain data of the target rubber as valid data includes: If the first relative difference and / or the second relative difference have the same sign, the simulated strain data of the target rubber is marked as valid data.

[0042] In this embodiment, as described above, when obtaining the first relative difference And the corresponding second relative difference After that, traverse each data in the two, and determine whether the corresponding first relative difference and second relative difference at the same sampling point have the same sign. The same sign is a mathematical representation of positive and negative, that is, whether the first relative difference at the same sampling point is positive or negative at the same time. If the corresponding first relative difference and second relative difference have the same sign at each sampling point, it means that the simulation result and the actual measured strain data are close, and if it is expressed from the corresponding strain curve, the change trend is the same. Then it can be determined that the simulated strain data of the target rubber is credible.

[0043] In some embodiments of the present invention, when marking the simulated strain force data of the target rubber as valid data, the above two judgment conditions for the first relative difference and the second relative difference can be combined. That is, when the first relative difference and the second relative difference, the data corresponding to the same sampling point are less than a predetermined value and have the same sign, the simulated strain force data of the target rubber will be marked as valid.

[0044] Through the effectiveness evaluation of rubber simulation data provided by the present invention, when determining the credibility of the simulation result of the verified rubber, the reliability of the simulation result can be evaluated not only by comparing the actual measurement data of the verified rubber with the simulated data, but also by comparing the actual measurement data of the rubber with verified performance related to the verified rubber with the simulation data to evaluate the reliability of the simulation result of the verified rubber, which effectively avoids the problem of poor evaluation reliability caused by the error of the actual measurement data of the verified rubber due to factors such as material non-uniformity.

[0045] Furthermore, the downsampling method can effectively reduce the difficulty of processing the real strain data and simulated strain data of the reference rubber and the target rubber, so as to overcome the data processing pressure caused by the calculation of the real strain data and simulated strain data of the reference rubber.

[0046] like Figure 5 As shown, the second aspect of the present invention further provides a device for evaluating the effectiveness of rubber simulation data, comprising: A data acquisition module 1 is used to determine the real strain data of the reference rubber and the target rubber, and to determine the simulated strain data of the reference rubber and the target rubber; A data processing module 2, configured to determine a first relative difference between the reference rubber and the target rubber based on the real strain data, and to determine a second relative difference between the reference rubber and the target rubber based on the simulated strain data; The simulation evaluation module 3 is configured to mark the simulated strain data of the target rubber as valid data if the first relative difference and / or the second relative difference meets a preset condition.

[0047] In some embodiments of the present invention, the data acquisition module 1 is further configured to: Determine the strain curves of the reference rubber and the target rubber respectively based on the real strain data; Determining a set of sampling points on the strain-force curve based on a preset sampling rate; Acquiring sampling data from the strain-force curve of the reference rubber according to the sampling point set to form a first sampling parameter set, and acquiring sampling data from the strain-force curve of the target rubber to form a second sampling parameter set; The first sampling set is used as the real strain force data of the reference rubber, and the second sampling set is used as the real strain force data of the target rubber.

[0048] In some embodiments of the present invention, the data processing module 2 is further configured to: Determine a target sampling point from the sampling point set, wherein the target sampling point is any sampling point in the sampling point set; Determine first sampling data corresponding to the target sampling point in the first sampling set, and second sampling data corresponding to the target sampling point in the second sampling set; Determine a difference between the first sampling data and the second sampling data, and use a ratio of the difference to the first sampling data as a relative difference corresponding to the sampling point; A first relative difference value is determined based on the relative differences corresponding to all target sampling points.

[0049] In some embodiments of the present invention, the data acquisition module 1 is further configured to: constructing a fitting model of the reference rubber based on the strain-force curve of the reference rubber, and constructing a fitting model of the target rubber based on the strain-force curve of the target rubber; Determining a first simulation parameter set corresponding to the reference rubber according to the fitting model of the reference rubber and the sampling point set, and determining a second simulation parameter set corresponding to the target rubber according to the fitting model of the target rubber and the sampling point set; The first simulation parameter set is used as the simulation strain data of the reference rubber, and the second simulation parameter set is used as the simulation strain data of the target rubber.

[0050] In some embodiments of the present invention, the data processing module 2 is further configured to: Determine a target sampling point from the sampling point set, wherein the target sampling point is any sampling point in the sampling point set; Determine first simulation data corresponding to the target sampling point in the first simulation parameter set, and second simulation data corresponding to the target sampling point in the second simulation parameter set; Determine a difference between the first simulation data and the second simulation data, and use a ratio of the difference to the first simulation data as a relative difference corresponding to the sampling point; A second relative difference value is determined based on the relative difference values ​​corresponding to all target sampling points.

[0051] In some embodiments of the present invention, the simulation evaluation module 3 is further configured to: If the first relative difference and / or the second relative difference is smaller than a preset value, the simulated strain data of the target rubber is marked as valid data.

[0052] In some embodiments of the present invention, the simulation evaluation module 3 is further configured to: If the first relative difference and / or the second relative difference have the same sign, the simulated strain data of the target rubber is marked as valid data.

[0053] like Figure 6 As shown, in a third aspect of the present application, a computer device is provided, comprising: at least one communication interface 612; at least one bus 614 connected to the at least one communication interface; at least one processor 611 connected to the at least one bus; at least one memory 613 connected to the at least one bus, wherein the processor is configured to execute the validity evaluation method of rubber simulation data described in any one of the above embodiments, comprising: determining real strain data of the reference rubber and the target rubber, and determining simulated strain data of the reference rubber and the target rubber; Determining a first relative difference between the reference rubber and the target rubber based on the real strain data, and determining a second relative difference between the reference rubber and the target rubber based on the simulated strain data; If the first relative difference and / or the second relative difference meets a preset condition, the simulated strain data of the target rubber is marked as valid data.

[0054] In some embodiments of the present invention, determining the real strain data of the reference rubber and the target rubber, and determining the simulated strain data of the reference rubber and the target rubber include: Determine the strain curves of the reference rubber and the target rubber respectively based on the real strain data; Determining a set of sampling points on the strain-force curve based on a preset sampling rate; Acquiring sampling data from the strain-force curve of the reference rubber according to the sampling point set to form a first sampling parameter set, and acquiring sampling data from the strain-force curve of the target rubber to form a second sampling parameter set; The first sampling set is used as the real strain force data of the reference rubber, and the second sampling set is used as the real strain force data of the target rubber.

[0055] In some embodiments of the present invention, determining a first relative difference between the reference rubber and the target rubber based on the real strain data comprises: Determine a target sampling point from the sampling point set, wherein the target sampling point is any sampling point in the sampling point set; Determine first sampling data corresponding to the target sampling point in the first sampling set, and second sampling data corresponding to the target sampling point in the second sampling set; Determine a difference between the first sampling data and the second sampling data, and use a ratio of the difference to the first sampling data as a relative difference corresponding to the sampling point; A first relative difference value is determined based on the relative differences corresponding to all target sampling points.

[0056] In some embodiments of the present invention, determining the real strain data of the reference rubber and the target rubber, and determining the simulated strain data of the reference rubber and the target rubber include: constructing a fitting model of the reference rubber based on the strain-force curve of the reference rubber, and constructing a fitting model of the target rubber based on the strain-force curve of the target rubber; Determining a first simulation parameter set corresponding to the reference rubber according to the fitting model of the reference rubber and the sampling point set, and determining a second simulation parameter set corresponding to the target rubber according to the fitting model of the target rubber and the sampling point set; The first simulation parameter set is used as the simulation strain data of the reference rubber, and the second simulation parameter set is used as the simulation strain data of the target rubber.

[0057] In some embodiments of the present invention, determining a second relative difference between the reference rubber and the target rubber based on the simulated strain data comprises: Determine a target sampling point from the sampling point set, wherein the target sampling point is any sampling point in the sampling point set; Determine first simulation data corresponding to the target sampling point in the first simulation parameter set, and second simulation data corresponding to the target sampling point in the second simulation parameter set; Determine a difference between the first simulation data and the second simulation data, and use a ratio of the difference to the first simulation data as a relative difference corresponding to the sampling point; A second relative difference value is determined based on the relative difference values ​​corresponding to all target sampling points.

[0058] In some embodiments of the present invention, if the first relative difference and / or the second relative difference meets a preset condition, marking the simulated strain data of the target rubber as valid data includes: If the first relative difference and / or the second relative difference is smaller than a preset value, the simulated strain data of the target rubber is marked as valid data.

[0059] In some embodiments of the present invention, if the first relative difference and / or the second relative difference meets a preset condition, marking the simulated strain data of the target rubber as valid data includes: If the first relative difference and / or the second relative difference have the same sign, the simulated strain data of the target rubber is marked as valid data.

[0060] In a fourth aspect of the present application, a computer storage medium is further provided, storing computer executable instructions, wherein the computer executable instructions are used to execute the validity evaluation method of rubber simulation data described in any one of the above items of the present application, including: determining real strain data of the reference rubber and the target rubber, and determining simulated strain data of the reference rubber and the target rubber; Determining a first relative difference between the reference rubber and the target rubber based on the real strain data, and determining a second relative difference between the reference rubber and the target rubber based on the simulated strain data; If the first relative difference and / or the second relative difference meets a preset condition, the simulated strain data of the target rubber is marked as valid data.

[0061] In some embodiments of the present invention, determining the real strain data of the reference rubber and the target rubber, and determining the simulated strain data of the reference rubber and the target rubber include: Determine the strain curves of the reference rubber and the target rubber respectively based on the real strain data; Determining a set of sampling points on the strain-force curve based on a preset sampling rate; Acquiring sampling data from the strain-force curve of the reference rubber according to the sampling point set to form a first sampling parameter set, and acquiring sampling data from the strain-force curve of the target rubber to form a second sampling parameter set; The first sampling set is used as the real strain force data of the reference rubber, and the second sampling set is used as the real strain force data of the target rubber.

[0062] In some embodiments of the present invention, determining a first relative difference between the reference rubber and the target rubber based on the real strain data comprises: Determine a target sampling point from the sampling point set, wherein the target sampling point is any sampling point in the sampling point set; Determine first sampling data corresponding to the target sampling point in the first sampling set, and second sampling data corresponding to the target sampling point in the second sampling set; Determine a difference between the first sampling data and the second sampling data, and use a ratio of the difference to the first sampling data as a relative difference corresponding to the sampling point; A first relative difference value is determined based on the relative differences corresponding to all target sampling points.

[0063] In some embodiments of the present invention, determining the real strain data of the reference rubber and the target rubber, and determining the simulated strain data of the reference rubber and the target rubber include: constructing a fitting model of the reference rubber based on the strain-force curve of the reference rubber, and constructing a fitting model of the target rubber based on the strain-force curve of the target rubber; Determining a first simulation parameter set corresponding to the reference rubber according to the fitting model of the reference rubber and the sampling point set, and determining a second simulation parameter set corresponding to the target rubber according to the fitting model of the target rubber and the sampling point set; The first simulation parameter set is used as the simulation strain data of the reference rubber, and the second simulation parameter set is used as the simulation strain data of the target rubber.

[0064] In some embodiments of the present invention, determining a second relative difference between the reference rubber and the target rubber based on the simulated strain data comprises: Determine a target sampling point from the sampling point set, wherein the target sampling point is any sampling point in the sampling point set; Determine first simulation data corresponding to the target sampling point in the first simulation parameter set, and second simulation data corresponding to the target sampling point in the second simulation parameter set; Determine a difference between the first simulation data and the second simulation data, and use a ratio of the difference to the first simulation data as a relative difference corresponding to the sampling point; A second relative difference value is determined based on the relative difference values ​​corresponding to all target sampling points.

[0065] In some embodiments of the present invention, if the first relative difference and / or the second relative difference meets a preset condition, marking the simulated strain data of the target rubber as valid data includes: If the first relative difference and / or the second relative difference is smaller than a preset value, the simulated strain data of the target rubber is marked as valid data.

[0066] In some embodiments of the present invention, if the first relative difference and / or the second relative difference meets a preset condition, marking the simulated strain data of the target rubber as valid data includes: If the first relative difference and / or the second relative difference have the same sign, the simulated strain data of the target rubber is marked as valid data.

[0067] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0068] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a general hardware platform, and of course, by hardware. Based on this understanding, the above technical solution, in essence, or the part that contributes to the relevant technology, can be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiment.

[0069] It should be understood that the terms used herein are only for the purpose of describing specific example embodiments and are not intended to be limiting. Unless the context clearly indicates otherwise, the singular forms "one", "an" and "said" as used herein may also be meant to include plural forms. The terms "include", "comprise", "contain", and "have" are inclusive, and therefore specify the existence of stated features, steps, operations, elements and / or parts, but do not exclude the existence or addition of one or more other features, steps, operations, elements, parts, and / or combinations thereof. The method steps, processes, and operations described herein are not interpreted as necessarily requiring them to be performed in the specific order described or illustrated, unless the execution order is clearly indicated. It should also be understood that additional or alternative steps may be used.

[0070] The foregoing is merely a specific embodiment of the present invention, which enables those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A method for evaluating the effectiveness of rubber simulation data, characterized in that: include: determining real strain data of the reference rubber and the target rubber, and determining simulated strain data of the reference rubber and the target rubber; Determining a first relative difference between the reference rubber and the target rubber based on the real strain data, and determining a second relative difference between the reference rubber and the target rubber based on the simulated strain data; If the first relative difference and / or the second relative difference meets a preset condition, the simulated strain data of the target rubber is marked as valid data.

2. The method according to claim 1, characterized in that The method of determining the actual strain data of the reference rubber and the target rubber includes: Determine the strain curves of the reference rubber and the target rubber respectively based on the real strain data; Determining a set of sampling points on the strain-force curve based on a preset sampling rate; Acquiring sampling data from the strain-force curve of the reference rubber according to the sampling point set to form a first sampling parameter set, and acquiring sampling data from the strain-force curve of the target rubber to form a second sampling parameter set; The first sampling set is used as the real strain force data of the reference rubber, and the second sampling set is used as the real strain force data of the target rubber.

3. The method according to claim 2, characterized in that The determining a first relative difference between the reference rubber and the target rubber based on the real strain data comprises: Determine a target sampling point from the sampling point set, wherein the target sampling point is any sampling point in the sampling point set; Determine first sampling data corresponding to the target sampling point in the first sampling set, and second sampling data corresponding to the target sampling point in the second sampling set; Determine a difference between the first sampling data and the second sampling data, and use a ratio of the difference to the first sampling data as a relative difference corresponding to the sampling point; A first relative difference value is determined based on the relative differences corresponding to all target sampling points.

4. The method according to claim 2, characterized in that: The step of determining the simulated strain data of the reference rubber and the target rubber includes: constructing a fitting model of the reference rubber based on the strain-force curve of the reference rubber, and constructing a fitting model of the target rubber based on the strain-force curve of the target rubber; Determining a first simulation parameter set corresponding to the reference rubber according to the fitting model of the reference rubber and the sampling point set, and determining a second simulation parameter set corresponding to the target rubber according to the fitting model of the target rubber and the sampling point set; The first simulation parameter set is used as the simulation strain data of the reference rubber, and the second simulation parameter set is used as the simulation strain data of the target rubber.

5. The method according to claim 4, characterized in that The determining a second relative difference between the reference rubber and the target rubber based on the simulated strain data comprises: Determine a target sampling point from the sampling point set, wherein the target sampling point is any sampling point in the sampling point set; Determine first simulation data corresponding to the target sampling point in the first simulation parameter set, and second simulation data corresponding to the target sampling point in the second simulation parameter set; Determine a difference between the first simulation data and the second simulation data, and use a ratio of the difference to the first simulation data as a relative difference corresponding to the sampling point; A second relative difference value is determined based on the relative difference values ​​corresponding to all target sampling points.

6. The method according to claim 3 or 5, characterized in that: If the first relative difference and / or the second relative difference meets a preset condition, marking the simulated strain data of the target rubber as valid data comprises: If the first relative difference and / or the second relative difference is smaller than a preset value, the simulated strain data of the target rubber is marked as valid data.

7. The method according to claim 3 or 5, characterized in that: If the first relative difference and / or the second relative difference meets a preset condition, marking the simulated strain data of the target rubber as valid data comprises: If the first relative difference and / or the second relative difference have the same sign, the simulated strain data of the target rubber is marked as valid data.

8. A device for evaluating the effectiveness of rubber simulation data, characterized in that: include: A data acquisition module, used to determine the real strain data of the reference rubber and the target rubber, and to determine the simulated strain data of the reference rubber and the target rubber; a data processing module, configured to determine a first relative difference between the reference rubber and the target rubber based on the real strain data, and to determine a second relative difference between the reference rubber and the target rubber based on the simulated strain data; The simulation evaluation module is configured to mark the simulated strain data of the target rubber as valid data if the first relative difference and / or the second relative difference meets a preset condition.

9. A computing device, characterized in that include: Memory and processor; The memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions. When the computer executable instructions are executed by the processor, the steps of the method for evaluating the effectiveness of tire simulation data according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions, when executed by a processor, implement the steps of the method for evaluating the effectiveness of tire simulation data according to any one of claims 1 to 7.

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