A method and system for optimizing the selection of measurement points based on a single response, electronic equipment, and media.

Abstract

This invention discloses a method, system, electronic device, and medium for optimizing the selection of measurement points based on single responsivity. First, a separate load simulation model is created for each load to perform loading calculations. Then, the plane stress or strain simulation results of all load simulation models are extracted. Next, the single responsivity of all mesh elements in each load simulation model is calculated. Finally, the optimal measurement point locations for the corresponding load are selected from mesh elements with a single responsivity greater than a preset threshold. The single responsivity proposed in this invention can accurately reflect the response of a mesh element under the current load relative to its response under other loads. The higher the single responsivity of a mesh element, the higher its response under the current load and the lower its response under other loads. This ensures that there is at least one optimal measurement point for monitoring under each load, enabling comprehensive and continuous optimization selection results for measurement points on complex structures. It can identify the responses caused by all loads while reducing the number of measurement points.

Description

Technical Field

[0001] This invention relates to the field of strain testing technology, and in particular to a method and system for optimizing the selection of measurement points based on a single response degree, an electronic device, and a computer-readable storage medium. Background Technology

[0002] Currently, in strain testing experiments, the conventional method for selecting measurement points is for researchers to first determine areas with high stress / strain and low gradients based on structural simulation results, and then determine the measurement point locations based on testing conditions and experience. For example, patent CN105651496 A discloses a method for determining the fatigue life index of a hydraulic conduit. This method uses simulation to predict the natural frequencies, mode shapes, and stress distribution cloud maps of the conduit structure under actual installation conditions, identifying the monitoring points most prone to fatigue failure. The test monitoring points are the points on the test specimen most susceptible to fatigue failure determined by the simulation. However, this method is only applicable to tests with single loads and simple models. Furthermore, existing optimized measurement point selection methods can perform data processing on simulation or test results, employing optimized selection algorithms or considering the correlation of preset measurement points to optimize measurement point selection, thereby reducing the number of sensors and improving the sensitivity of the test. For example, patent CN108830407 A proposes a sensor distribution optimization method for structural health monitoring under multiple working conditions. It obtains the feature vector of the working condition response by acquiring the stress-strain distribution cloud map through simulation, and then constructs an optimization function by using the feature vector and the number of sensors. The optimal sensor distribution scheme is calculated by the optimization algorithm. Patent application publication number CN116244995A proposes a feature strain monitoring point optimization selection method based on generalized correlation coefficient. It obtains the stress-strain distribution cloud map through simulation, selects the original measuring points for testing based on engineering experience, and normalizes the original measuring point data. Then, it calculates the generalized correlation coefficient of the maximum value under each working condition with other test values ​​and selects the minimum value as the measuring point. However, existing methods for optimizing the selection of measuring points are only applicable to specific loads under specific working conditions and cannot adapt to random or complex working conditions. They still require manual selection of preset measuring point locations and rely on the experience of testers. However, for customized products, especially test benches with complex structures and loading, there is a lack of mature testing experience, which often makes it impossible to select suitable measuring point locations, or the selected measuring point locations cannot clearly characterize the strain response corresponding to all loads. Furthermore, the optimization selection of measuring points must be based on existing preset measuring points, which limits the range of measuring point selection. For large structures, preset measuring points cannot cover all possible measuring points. In addition, the results of optimization calculations are discrete, and the limited number of preset measuring points cannot reflect the continuous changes in optimization results, making the evaluation of the measurement point optimization results unclear.

[0003] For large and complex structures, especially customized, special equipment, and test benches, the loading conditions are complex, and there is often no testing experience with similar equipment. If simulation methods are used to obtain stress cloud diagrams and then optimize the selection of measurement points, it is impossible to effectively distinguish the stress response caused by various loads in large structural components. Therefore, a measurement point optimization method is needed that can effectively identify the stress response of structures under different loads without relying on testing experience. Summary of the Invention

[0004] This invention provides a method and system for optimizing the selection of measurement points based on a single response degree, as well as an electronic device and a computer-readable storage medium. It can ensure that there is at least one optimal measurement point for monitoring under each load, and can comprehensively and accurately screen the optimal measurement point positions under each load. This enables the acquisition of comprehensive and continuous measurement point optimization results on complex structures, and can identify the response caused by all loads while reducing the number of measurement points.

[0005] According to one aspect of the present invention, a method for optimizing the selection of measurement points based on a single response degree is provided, comprising the following:

[0006] Construct a structural simulation model of the device under test, and based on the structural simulation model, create a separate load simulation model for each load of the device under test and perform load calculations.

[0007] Extract the plane stress simulation results or plane strain simulation results from all load simulation models;

[0008] Calculate the single response of all mesh elements in each load simulation model based on the plane stress simulation results or plane strain simulation results of all load simulation models;

[0009] For each load simulation model, the single response calculation results of all grid elements are compared with a preset threshold. The optimized measurement point location under the corresponding load is selected from the grid elements whose single response is greater than the preset threshold.

[0010] Furthermore, the process of calculating the single response of all mesh elements in each load simulation model based on the plane stress simulation results of all load simulation models includes the following:

[0011] The minimum principal stress value, maximum principal stress value, and principal stress direction angle of each mesh element are calculated based on the plane stress simulation results of the current load simulation model.

[0012] For the same mesh element, based on the plane stress simulation results of the other load simulation models and the principal stress direction angle of the current load simulation model, the stress components of the plane stress of the other load simulation models in the direction of the maximum principal stress and the direction of the minimum principal stress of the current load simulation model are calculated.

[0013] Based on the minimum and maximum principal stress values ​​of the current load simulation model, and the two stress components of the other load simulation models, the single response of the mesh element in the current load simulation model is calculated.

[0014] Furthermore, the minimum and maximum principal stress values ​​of each mesh element in the current load simulation model are calculated based on the following formula:

[0015]

[0016]

[0017] Where, σ xi σ represents the stress simulation result of the mesh elements of the current load simulation model i in the x-axis direction. yi τ represents the stress simulation result of the mesh elements of the current load simulation model i in the y-axis direction. xyi This represents the simulation result of shear stress in the mesh elements of the current load simulation model i, parallel to the y-axis on the x-plane. σ i_min σ represents the minimum principal stress value of the mesh element in the current load simulation model i. i_max This represents the maximum principal stress value of the mesh element in the current load simulation model i.

[0018] Furthermore, the principal stress direction angles of each mesh element in the current load simulation model are calculated based on the following formula:

[0019]

[0020]

[0021]

[0022] α i_min =α i_max +90°;

[0023] Where, α i_max α represents the angle between the direction of the maximum principal stress of the mesh element in the current load simulation model i and the x-axis direction. i_min σ represents the angle between the minimum principal stress direction of the mesh element in the current load simulation model i and the x-axis direction. i_0 and σ i_90 These represent the stress components of the plane stress simulation results of the mesh element of the current load simulation model i at the two included angles.

[0024] Furthermore, for the same mesh element, the stress components of the plane stress in the directions of maximum and minimum principal stresses of the current load simulation model are calculated based on the following formula:

[0025]

[0026]

[0027] Where, σ ij_max σ represents the stress component of the plane stress in the simulation model j of the other loads in the direction of the maximum principal stress in the current simulation model i. ij_min This represents the stress component of the plane stress in the simulation model j under the minimum principal stress direction in the current simulation model i, where j ≠ i, σ xj This represents the stress simulation result of the mesh elements of the remaining load simulation model j in the x-axis direction, σ yj τ represents the stress simulation result of the mesh elements of the remaining load simulation model j in the y-axis direction. xyj This represents the simulation results of shear stress in the mesh elements of the remaining load simulation model j, parallel to the y-axis on the x-plane.

[0028] Furthermore, the single response of each mesh element in the current load simulation model is calculated based on the following formula:

[0029] η i =max(η i_max ,η i_min );

[0030] η i_max =min(η) i1_max η i2_max ...η ij_max );

[0031]

[0032] η i_min =min(η) i1_min η i2_min ...η ij_min );

[0033]

[0034] Where, η i η represents the single response of a mesh element in the current load simulation model i. i_max η represents the single response of the mesh element in the current load simulation model i in the direction of maximum principal stress. i_min η represents the single response of the mesh element in the current load simulation model i in the direction of minimum principal stress. ij_max σ′ represents the single response of load i relative to the other loads j in the direction of maximum principal stress. i Indicates the preset stress screening value, η ij_minThis represents the single response of load i relative to the other loads j in the direction of minimum principal stress.

[0035] Furthermore, after calculating the single response of all grid elements in each load simulation model, a single response contour map under the corresponding load is generated, and the optimal measurement point location is selected within the large numerical region of the single response contour map.

[0036] In addition, the present invention also provides a measurement point optimization selection system based on a single response degree, comprising:

[0037] The model building and simulation module is used to build a structural simulation model of the device under test, and based on the structural simulation model, create a separate load simulation model for each load of the device under test and perform load calculations.

[0038] The simulation result extraction module is used to extract the plane stress simulation results or plane strain simulation results of all load simulation models;

[0039] The single response calculation module is used to calculate the single response of all mesh elements in each load simulation model based on the plane stress simulation results or plane strain simulation results of all load simulation models.

[0040] The measurement point optimization selection module is used to compare the single response calculation results of all grid elements with a preset threshold for each load simulation model, and select the optimal measurement point location for the corresponding load from the grid elements whose single response is greater than the preset threshold.

[0041] In addition, the present invention also provides an electronic device, including a processor and a memory, wherein the memory stores a computer program, and the processor executes the steps of the method described above by calling the computer program stored in the memory.

[0042] In addition, the present invention provides a computer-readable storage medium for storing a computer program for optimizing the selection of measurement points based on a single response degree, wherein the computer program executes the steps of the method described above when running on a computer.

[0043] The present invention has the following beneficial effects:

[0044] The single-responsivity-based measurement point optimization selection method of this invention first creates a separate load simulation model for each load and performs loading calculations. Then, it extracts the plane stress simulation results or plane strain simulation results of all load simulation models, and calculates the single-responsivity of all mesh elements in each load simulation model. Finally, it selects the optimal measurement point positions for the corresponding load from the mesh elements with a single-responsivity greater than a preset threshold. The single-responsivity proposed in this invention can accurately reflect the response of a mesh element under the current load relative to other loads. The higher the single-responsivity of a mesh element, the higher its response under the current load, and the lower its response under other loads. This ensures that there is at least one optimal measurement point for monitoring under each load, and can comprehensively and accurately select the optimal measurement point positions for each load. This allows for obtaining comprehensive and continuous measurement point optimization selection results on complex structures, and can identify the response caused by all loads while reducing the number of measurement points.

[0045] In addition, the measurement point optimization selection system based on single response degree of the present invention also has the above-mentioned advantages.

[0046] In addition to the objectives, features, and advantages described above, the present invention has other objectives, features, and advantages. The invention will now be described in further detail with reference to the figures. Attached Figure Description

[0047] The accompanying drawings, which form part of this application, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings:

[0048] Figure 1 This is a flowchart illustrating the preferred embodiment of the measurement point optimization selection method based on a single response degree in this application.

[0049] Figure 2 This is a schematic diagram of the plane stress of the mesh element on any cross section in a preferred embodiment of this application.

[0050] Figure 3 yes Figure 1 A schematic diagram of the sub-process of step S3.

[0051] Figure 4 This is a schematic diagram of the module structure of a measurement point optimization selection system based on a single response degree according to another embodiment of this application. Detailed Implementation

[0052] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0053] Reference Figure 1As shown, a preferred embodiment of this application provides a method for optimizing the selection of measurement points based on a single response, including the following:

[0054] Step S1: Construct a structural simulation model of the device under test, and based on the structural simulation model, create a separate load simulation model for each load of the device under test and perform load calculations;

[0055] Step S2: Extract the plane stress simulation results or plane strain simulation results of all load simulation models;

[0056] Step S3: Calculate the single response of all mesh elements in each load simulation model based on the plane stress simulation results or plane strain simulation results of all load simulation models;

[0057] Step S4: For each load simulation model, compare the single response calculation results of all grid elements with the preset threshold, and select the optimal measurement point location under the corresponding load from the grid elements with a single response greater than the preset threshold.

[0058] It is understood that the single-responsivity-based measurement point optimization selection method in this embodiment first creates a separate load simulation model for each load and performs loading calculations. Then, it extracts the plane stress simulation results or plane strain simulation results of all load simulation models, and then calculates the single-responsivity of all mesh elements in each load simulation model. Finally, it selects the optimal measurement point positions for the corresponding load from the mesh elements with single-responsivity greater than a preset threshold. The single-responsivity proposed in this invention can accurately reflect the response of mesh elements under the current load relative to other loads. The higher the single-responsivity of a mesh element, the higher its response under the current load, and the lower its response under other loads. This ensures that there is at least one optimal measurement point for monitoring under each load, and can comprehensively and accurately select the optimal measurement point positions for each load. This allows for obtaining comprehensive and continuous measurement point optimization selection results on complex structures, and can identify the responses caused by all loads while reducing the number of measurement points.

[0059] It is understood that in step S1, a structural simulation model is constructed based on the three-dimensional structure of the device under test, and a separate load simulation model is created for each load of the device under test based on the structural simulation model, and load calculations are performed. Specifically, based on the three-dimensional structural simulation model of the device under test, a mesh that meets the mesh quality requirements is divided, boundary conditions are created, and connection simulation settings such as contact and flexible coupling are created. When the structural simulation model is a solid mesh, shell elements or membrane elements are created on the surface of the solid mesh elements, and the shell elements or membrane elements are given an initial thickness. The simulation test results are compared with those of the solid mesh simulation model without shell elements or membrane elements under the same load Q. Based on the comparison results, the thickness of the shell elements or membrane elements is reduced until the test comparison accuracy δ meets the simulation requirements. Here, Q can be selected as the maximum load of the device under test, and δ can be set to 98%. Furthermore, a separate load simulation model is created for each load of the device under test for load calculations. For example, the i-th load of the device under test corresponds to load simulation model i, i = 1, 2, 3, ..., where load i can be selected as 80% of the maximum load of the device under test in any loading direction at any loading position.

[0060] It can be understood that in step S2, for load simulation model i, the plane stress simulation results or plane strain simulation results of its shell element or membrane element are extracted, for example, such as Figure 2 As shown, the extracted plane stress simulation result is σ xi σ yi and τ xyi , where σ xi σ represents the stress simulation result of the mesh elements of the current load simulation model i in the x-axis direction. yi τ represents the stress simulation result of the mesh elements of the current load simulation model i in the y-axis direction. xyi This represents the simulation result of shear stress in the mesh elements of the current load simulation model i, which are parallel to the y-axis on the x-plane.

[0061] It is understood that in step S3, based on the plane stress simulation results or plane strain simulation results of all load simulation models, the single response of all mesh elements in each load simulation model can be calculated. The process of calculating the single response based on the plane stress simulation results is basically the same as the process of calculating the single response based on the plane strain simulation results, except that stress is replaced by strain. Therefore, in the following description, the calculation of the single response based on the plane stress simulation results will be used as an example.

[0062] like Figure 3 As shown, the process of calculating the single response of all mesh elements in each load simulation model based on the plane stress simulation results of all load simulation models includes the following:

[0063] Step S31: Calculate the minimum principal stress value, maximum principal stress value, and principal stress direction angle for each mesh element based on the plane stress simulation results of the current load simulation model;

[0064] Step S32: For the same mesh element, based on the plane stress simulation results of the other load simulation models and the principal stress direction angle of the current load simulation model, calculate the stress components of the plane stress of the other load simulation models in the direction of the maximum principal stress and the direction of the minimum principal stress of the current load simulation model.

[0065] Step S33: Based on the minimum principal stress and maximum principal stress values ​​of the current load simulation model, and the two stress components of the other load simulation models, calculate the single response of the mesh element in the current load simulation model.

[0066] Specifically, taking load simulation model i as the current load simulation model, the minimum principal stress value and the maximum principal stress value of each mesh element in the current load simulation model are first calculated based on the following formula:

[0067]

[0068]

[0069] Where, σ xi σ represents the stress simulation result of the mesh elements of the current load simulation model i in the x-axis direction. yi τ represents the stress simulation result of the mesh elements of the current load simulation model i in the y-axis direction. xyi This represents the simulation result of shear stress in the mesh elements of the current load simulation model i, parallel to the y-axis on the x-plane. σ i_min σ represents the minimum principal stress value of the mesh element in the current load simulation model i. i_max This represents the maximum principal stress value of the mesh element in the current load simulation model i.

[0070] For the principal stress direction angle α of the mesh element in the current load simulation model i... 0i It is divided into the angle between the direction of the maximum principal stress and the x-axis, and the angle between the direction of the minimum principal stress and the x-axis. The angle between the direction of the maximum principal stress and the direction of the minimum principal stress is 90°. Therefore, the principal stress direction angle α can be calculated based on the following formula. 0i : However, the calculation results cannot distinguish which of the two angles is the angle between the direction of the maximum principal stress and the x-axis, and which is the angle between the direction of the minimum principal stress and the x-axis.

[0071] Therefore, in order to distinguish between the two included angles, this invention introduces the stress components σ of the plane stress simulation results of the mesh elements of the current load simulation model i at the two included angles.i_0 and σ i_90 Then, the principal stress direction angle of each mesh element in the current load simulation model can be calculated based on the following formula:

[0072]

[0073]

[0074]

[0075] α i_min =α i_max +90°;

[0076] Where, α i_max α represents the angle between the direction of the maximum principal stress of the mesh element in the current load simulation model i and the x-axis direction. i_min σ represents the angle between the minimum principal stress direction of the mesh element in the current load simulation model i and the x-axis direction. i_0 and σ i_90 These represent the stress components of the plane stress simulation results of the mesh element of the current load simulation model i at the two included angles.

[0077] For the same mesh element, the stress components of the plane stress in the directions of maximum and minimum principal stresses of the current load simulation model are calculated based on the following formula:

[0078]

[0079]

[0080] Where, σ ij_max σ represents the stress component of the plane stress in the simulation model j of the other loads in the direction of the maximum principal stress in the current simulation model i. ij_min This represents the stress component of the plane stress in the simulation model j under the minimum principal stress direction in the current simulation model i, where j ≠ i, σ xj This represents the stress simulation result of the mesh elements of the remaining load simulation model j in the x-axis direction, σ yj τ represents the stress simulation result of the mesh elements of the remaining load simulation model j in the y-axis direction. xyj This represents the simulation results of shear stress in the mesh elements of the remaining load simulation model j, parallel to the y-axis on the x-plane.

[0081] Then, the single response of each mesh element in the current load simulation model is calculated based on the following formula:

[0082] η i =max(η i_max ,η i_min);

[0083] η i_max =min(η) i1_max η i2_max ...η ij_max );

[0084]

[0085] η i_min =min(η) i1_min η i2_min ...η ij_min );

[0086]

[0087] Where, η i η represents the single response of a mesh element in the current load simulation model i. i_max η represents the single response of the mesh element in the current load simulation model i in the direction of maximum principal stress. i_min η represents the single response of the mesh element in the current load simulation model i in the direction of minimum principal stress. ij_max σ′ represents the single response of load i relative to the other loads j in the direction of maximum principal stress. i This indicates the preset stress screening value, which can be set to 10MPa. This helps to screen out areas with lower stress values ​​under the current load i, avoiding areas with low stress values ​​as measurement points. η ij_min This represents the single response of load i relative to the other loads j in the direction of minimum principal stress.

[0088] It is understandable that when the device under test is subjected to multiple loads, the single response of the same grid element is related to the stress value in the principal stress direction under the current load and the plane stress component values ​​in the principal stress direction under the other loads. The larger the stress value in the principal stress direction under the current load and the smaller the plane stress component values ​​in the principal stress direction under the other loads, the higher the single response. This allows for accurate characterization of the response of each grid element under the current load. Therefore, a higher single response of a grid element in the current load simulation model means a higher response under the current load and a lower response under the other loads. This grid element can then be considered a preferred measurement point location.

[0089] It is understood that in step S4, for each load simulation model i, after calculating the single response value of all its mesh elements, the calculation results can be compared with a preset single response value screening threshold η0. If the single response value of a mesh element is less than or equal to η0, it will not be used as the preferred measurement point location under the current load i. If it is greater than η0, it can be used as the preferred measurement point location under the current load i. The higher the single response value of the mesh element, the better its testing effect as the preferred measurement point location. Therefore, for each load i, a mesh element with the largest single response value can be selected as the optimal measurement point location. Here, η0 can be set to 0.3.

[0090] Optionally, after calculating the single response of all grid elements in each load simulation model, a single response contour map under the corresponding load can be generated. The contour map can use color to distinguish the single response of each region of the device under test under the current load i. Larger values ​​indicate that the selected measurement point is more sensitive to load i and less sensitive to other loads j. Therefore, the optimal measurement point location is selected within the large value region of the single response contour map. It can be understood that displaying the preferred measurement point location through contour map color makes the optimization result continuously changing and visualized, ensuring comprehensive and accurate selection of measurement points, and can be used to assist in judging the accuracy of the optimization results. Furthermore, the optimal measurement point location C under the current load i can be selected from the contour map based on the experimental conditions. i1 C i2 ...C ik (k = 1, 2, 3...).

[0091] In addition, if Figure 4 As shown, another embodiment of the present invention also provides a measurement point optimization selection system based on a single responsivity, preferably employing the measurement point optimization selection method based on a single responsivity as described above. The system includes:

[0092] The model building and simulation module is used to build a structural simulation model of the device under test, and based on the structural simulation model, create a separate load simulation model for each load of the device under test and perform load calculations.

[0093] The simulation result extraction module is used to extract the plane stress simulation results or plane strain simulation results of all load simulation models;

[0094] The single response calculation module is used to calculate the single response of all mesh elements in each load simulation model based on the plane stress simulation results or plane strain simulation results of all load simulation models.

[0095] The measurement point optimization selection module is used to compare the single response calculation results of all grid elements with a preset threshold for each load simulation model, and select the optimal measurement point location for the corresponding load from the grid elements whose single response is greater than the preset threshold.

[0096] It is understood that the single-responsivity-based measurement point optimization selection system of this embodiment first creates a separate load simulation model for each load and performs loading calculations. Then, it extracts the plane stress simulation results or plane strain simulation results of all load simulation models, and then calculates the single-responsivity of all mesh elements in each load simulation model. Finally, it selects the optimal measurement point positions for the corresponding load from the mesh elements with single-responsivity greater than a preset threshold. The single-responsivity proposed in this invention can accurately reflect the response of mesh elements under the current load relative to other loads. The higher the single-responsivity of a mesh element, the higher its response under the current load, and the lower its response under other loads. This ensures that there is at least one optimal measurement point for monitoring under each load, and can comprehensively and accurately select the optimal measurement point positions for each load. This allows for the acquisition of comprehensive and continuous measurement point optimization selection results on complex structures, and can identify the responses caused by all loads while reducing the number of measurement points.

[0097] In addition, another embodiment of the present invention provides an electronic device including a processor and a memory, wherein the memory stores a computer program, and the processor executes the steps of the method described above by calling the computer program stored in the memory.

[0098] In addition, another embodiment of the present invention provides a computer-readable storage medium for storing a computer program for optimizing the selection of measurement points based on a single response, wherein the computer program executes the steps of the method described above when running on a computer.

[0099] Common computer-readable storage media include: floppy disks, flexible disks, hard disks, magnetic tapes, any other magnetic media, CD-ROMs, any other optical media, punch cards, paper tape, any other physical media with perforated patterns, random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), flash erasable programmable read-only memory (FLASH-EPROM), any other memory chips or cartridges, or any other media readable by a computer. Instructions may further be transmitted or received by a transmission medium. The term transmission medium can include any tangible or intangible medium used to store, encode, or carry instructions for machine execution, and includes digital or analog communication signals or intangible media that facilitate communication of such instructions. Transmission media include coaxial cables, copper wires, and optical fibers, which contain conductors for transmitting a bus of computer data signals.

[0100] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of this application can be implemented in various computer languages, such as the object-oriented programming language Java and the interpreted scripting language JavaScript.

[0101] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0102] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0103] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0104] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0105] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

[0106] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for optimizing the selection of measurement points based on a single response, characterized in that, Includes the following: Construct a structural simulation model of the device under test, and based on the structural simulation model, create a separate load simulation model for each load of the device under test and perform load calculations. Extract the plane stress simulation results from all load simulation models; The single response of all mesh elements in each load simulation model is calculated based on the plane stress simulation results of all load simulation models. For each load simulation model, the single response calculation results of all grid elements are compared with the preset threshold, and the optimized measurement point positions under the corresponding load are selected from the grid elements with single response greater than the preset threshold. The process of calculating the single response of all mesh elements in each load simulation model based on the plane stress simulation results of all load simulation models includes the following: The minimum principal stress value, maximum principal stress value, and principal stress direction angle of each mesh element are calculated based on the plane stress simulation results of the current load simulation model. For the same mesh element, based on the plane stress simulation results of the other load simulation models and the principal stress direction angle of the current load simulation model, the stress components of the plane stress of the other load simulation models in the direction of the maximum principal stress and the direction of the minimum principal stress of the current load simulation model are calculated. Based on the minimum and maximum principal stress values ​​of the current load simulation model, and the two stress components of the other load simulation models, the single response of the mesh element in the current load simulation model is calculated.

2. The measurement point optimization selection method based on single response degree as described in claim 1, characterized in that, The minimum and maximum principal stress values ​​for each mesh element in the current load simulation model are calculated based on the following formula: Where, σ xi σ represents the stress simulation result of the mesh elements of the current load simulation model i in the x-axis direction. yi τ represents the stress simulation result of the mesh elements of the current load simulation model i in the y-axis direction. xyi This represents the simulation result of shear stress in the mesh elements of the current load simulation model i, parallel to the y-axis on the x-plane. σ i_min σ represents the minimum principal stress value of the mesh element in the current load simulation model i. i_max This represents the maximum principal stress value of the mesh element in the current load simulation model i.

3. The measurement point optimization selection method based on single response degree as described in claim 2, characterized in that, The principal stress direction angle of each mesh element in the current load simulation model is calculated based on the following formula: α i_min ＝α i_max +90°； Where, α i_max α represents the angle between the direction of the maximum principal stress of the mesh element in the current load simulation model i and the x-axis direction. i_min σ represents the angle between the minimum principal stress direction of the mesh element in the current load simulation model i and the x-axis direction. i_0 and σ i_90 These represent the stress components of the plane stress simulation results of the mesh element of the current load simulation model i at the two included angles.

4. The measurement point optimization selection method based on single response degree as described in claim 3, characterized in that, For the same mesh element, the stress components of the plane stress in the directions of maximum and minimum principal stresses of the current load simulation model are calculated based on the following formula: Where, σ ij_max σ represents the stress component of the plane stress in the simulation model j of the other loads in the direction of the maximum principal stress in the current simulation model i. ij_min This represents the stress component of the plane stress in the simulation model j under the minimum principal stress direction in the current simulation model i, where j ≠ i, σ xj This represents the stress simulation result of the mesh elements of the remaining load simulation model j in the x-axis direction, σ yj τ represents the stress simulation result of the mesh elements of the remaining load simulation model j in the y-axis direction. xyj This represents the simulation results of shear stress in the mesh elements of the remaining load simulation model j, parallel to the y-axis on the x-plane.

5. The measurement point optimization selection method based on single response degree as described in claim 4, characterized in that, The single response of each mesh element in the current load simulation model is calculated based on the following formula: or i =max(η i_max ,or i_min ); or i_max =min(η i1_max ,or i2_max ...or ij_max ); Where, η i η represents the single response of a mesh element in the current load simulation model i. i_max η represents the single response of the mesh element in the current load simulation model i in the direction of maximum principal stress. i_min η represents the single response of the mesh element in the current load simulation model i in the direction of minimum principal stress. ij_max σ represents the single response of the current load simulation model i relative to the other load simulation models j in the direction of maximum principal stress. i ′ represents the preset stress screening value of the current load simulation model i, η ij_min This represents the single response of the current load simulation model i relative to the other load simulation models j in the direction of minimum principal stress.

6. The measurement point optimization selection method based on single response degree as described in claim 1, characterized in that, After calculating the single response of all grid elements in each load simulation model, a single response contour map is generated for the corresponding load, and the optimal measurement point location is selected within the large numerical region of the single response contour map.

7. A measurement point optimization selection system based on a single responsivity, employing the measurement point optimization selection method based on a single responsivity as described in any one of claims 1 to 6, characterized in that, include: The model building and simulation module is used to build a structural simulation model of the device under test, and based on the structural simulation model, create a separate load simulation model for each load of the device under test and perform load calculations. The simulation result extraction module is used to extract the plane stress simulation results or plane strain simulation results of all load simulation models; The single response calculation module is used to calculate the single response of all mesh elements in each load simulation model based on the plane stress simulation results or plane strain simulation results of all load simulation models. The measurement point optimization selection module is used to compare the single response calculation results of all grid elements with a preset threshold for each load simulation model, and select the optimal measurement point location for the corresponding load from the grid elements whose single response is greater than the preset threshold.

8. An electronic device, characterized in that, The method includes a processor and a memory, wherein the memory stores a computer program, and the processor executes the steps of the method as described in any one of claims 1 to 6 by calling the computer program stored in the memory.

9. A computer-readable storage medium for storing a computer program for optimizing the selection of measurement points based on a single response, characterized in that, The computer program, when run on a computer, performs the steps of the method as described in any one of claims 1 to 6.

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