Measurement point optimization selection method and system based on single responsivity, electronic equipment and medium

Abstract

The invention discloses a measuring point optimization selection method and system based on single responsivity, electronic equipment and a medium, and the method comprises the steps: firstly creating an independent load simulation model for each load for loading calculation, and then extracting plane stress or strain simulation results of all load simulation models; calculating to obtain the single responsivity of all grid units in each load simulation model; and finally screening out an optimized measuring point position under the corresponding load from the grid units with the single responsivity greater than a preset threshold value. The single responsivity provided by the invention can accurately reflect the response condition of the grid unit under the current load relative to other loads, the higher the single responsivity of the grid unit is, the higher the response of the grid unit under the current load is, the lower the response of the grid unit under the other loads is, and the higher the response of the grid unit under the current load is, the lower the response of the grid unit under the other loads is. According to the method, at least one optimal measuring point is ensured to be monitored under each load, a comprehensive and continuous measuring point optimization selection result can be obtained on a complex structure, responses caused by all loads can be identified, and the number of measuring points can be reduced.

Description

Technical Field

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

[0002] At present, in the process of strain test experiment, the conventional method of selecting measuring points is that the experimenter first determines the area with large stress / strain and small gradient according to the structural simulation results, and then finally determines the measuring point position according to the test conditions and test experience. For example, patent CN105651496 A discloses a method for determining the fatigue life index of a hydraulic conduit, which uses a simulation method to predict the natural frequency, vibration mode and stress distribution cloud map of the conduit structure under actual installation conditions, and finds the monitoring point that is most likely to cause fatigue damage. The test monitoring point is the monitoring point of the test piece that is most likely to be fatigue damaged determined by simulation. However, this method of selecting measuring points can only be applied to tests with a single load and a simple model. In addition, the existing method of optimizing the selection of measuring points can also perform certain data processing on the simulation results or test results, and use an optimization selection algorithm or consider the correlation of preset measuring points to optimize the selection of measuring points, so as to achieve the goal of reducing the number of sensor arrangements and improving the sensitivity of the test test. For example, patent CN108830407 A proposes a sensor distribution optimization method for structural health monitoring under multiple working conditions. It obtains the characteristic vector of the working condition response through the stress-strain distribution cloud map obtained by simulation, and then constructs an optimization function through the characteristic vector and the number of sensors, and calculates the optimal sensor distribution scheme through the optimization algorithm; patent CN116244995 A proposes a characteristic strain monitoring point optimization selection method based on the 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, and then calculates the generalized correlation coefficient between the maximum value under each working condition and other test values ​​to select the minimum value as the measuring point. However, the existing measurement point optimization selection method can only be applied to targeted loads under specific working conditions, and cannot adapt to random and complex working conditions. It is also necessary to manually screen out the preset measurement point positions 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, and it is often impossible to select suitable measurement point positions, or the selected measurement point positions cannot clearly represent the strain response corresponding to all loads. In addition, the measurement point optimization selection must be based on the existing preset measurement points, and the measurement point selection range is limited. For large structures, the preset measurement points cannot cover all possible measurement points. In addition, the results of the optimization calculation are discrete, and the limited preset measurement points cannot reflect the continuous changes in the optimization results. The evaluation of the measurement point optimization results is unclear.

[0003] For large and complex structures, especially customized, special equipment, test benches and other complex structural parts, due to the complex loading conditions and the lack of testing experience for similar equipment, if the stress cloud map is obtained by simulation method and then the measurement point position is optimized, it is impossible to effectively distinguish the stress response caused by various loads in large structural parts. Therefore, a method for optimizing the selection of measurement points is needed that can effectively identify the stress response of different loads to the structure without relying on testing experience. Summary of the invention

[0004] The present invention provides a method and system for optimizing the selection of measuring points based on a single response degree, an electronic device, and a computer-readable storage medium, which can ensure that there is at least one optimal measuring point for monitoring under each load, and can comprehensively and accurately screen out the optimized measuring point positions under each load, so as to obtain comprehensive and continuous measuring point optimization selection results on complex structures, and can identify the responses caused by all loads and reduce the number of measuring points.

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

[0006] Constructing a structural simulation model of the device under test, creating a separate load simulation model for each load of the device under test based on the structural simulation model and performing loading calculation;

[0007] Extract plane stress simulation results or plane strain simulation results of 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 cells are compared with the preset threshold, and the optimized measurement point positions under the corresponding load are screened out from the grid cells whose single response is greater than the preset threshold.

[0010] Furthermore, the process of calculating the single responsivity of all grid cells 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 grid unit are calculated based on the plane stress simulation results of the current load simulation model;

[0012] For the same grid unit, based on the plane stress simulation results of the remaining load simulation models and the principal stress direction angle of the current load simulation model, the stress components of the plane stress of the remaining load simulation models in the maximum principal stress direction and the minimum principal stress direction of the current load simulation model are calculated;

[0013] Based on the minimum principal stress value and the maximum principal stress value of the current load simulation model and the two stress components of the remaining load simulation models, the single response of the grid unit in the current load simulation model is calculated.

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

[0015]

[0016]

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

[0018] Furthermore, the principal stress direction angle of each grid element in the current load simulation model is calculated based on the following formula:

[0019]

[0020]

[0021]

[0022] α i_min =α i_max +90°;

[0023] Among them, α i_max Represents the angle between the maximum principal stress direction of the grid element of the current load simulation model i and the x-axis direction, α i_min Represents the angle between the minimum principal stress direction of the grid element of the current load simulation model i and the x-axis direction, σ i_0 and σ i_90 They respectively represent the stress components of the plane stress simulation results of the grid unit of the current load simulation model i at two angles.

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

[0025]

[0026]

[0027] Among them, σ ij_max represents the stress component of the plane stress of the remaining load simulation model j in the direction of the maximum principal stress of the current load simulation model i, σ ij_min Represents the stress component of the plane stress of the remaining load simulation model j in the direction of the minimum principal stress of the current load simulation model i, j≠i, σ xj represents the stress simulation results of the grid elements of the remaining load simulation model j in the x-axis direction, σ yj represents the stress simulation results of the grid elements of the remaining load simulation model j in the y-axis direction, τ xyj Represents the shear stress simulation results of the grid elements of the remaining load simulation model j on the x-plane parallel to the y-axis.

[0028] Furthermore, the single response of each grid unit 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] Among them, η i represents the single response of the grid unit in the current load simulation model i, η i_max represents the single response of the grid element in the current load simulation model i in the direction of the maximum principal stress, η i_min represents the single response of the grid element in the direction of the minimum principal stress in the current load simulation model i, η ij_max represents the single response of load i relative to the other loads j in the direction of maximum principal stress, σ′ i represents the preset stress screening value, η ij_minIt represents the single response of load i relative to the other loads j in the direction of minimum principal stress.

[0035] Furthermore, after the single response calculation results of all grid cells in each load simulation model are calculated, a single response cloud map under the corresponding load is generated, and the optimized measurement point position is selected in the large value area in the single response cloud map.

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

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

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

[0039] A single response calculation module, used for calculating the single response of all grid cells 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 cells with the preset threshold for each load simulation model, and select the optimized measurement point position under the corresponding load from the grid cells 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 above method by calling the computer program stored in the memory.

[0042] In addition, the present invention also 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.

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

[0044] The method for optimizing the selection of measuring points based on single responsiveness of the present invention first creates a separate load simulation model for each load and performs loading calculations, then extracts the plane stress simulation results or plane strain simulation results of all load simulation models, and then calculates the single responsiveness of all grid units in each load simulation model, and finally selects the optimized measuring point positions under the corresponding load from the grid units whose single responsiveness is greater than a preset threshold. The single responsiveness proposed by the present invention can accurately reflect the response of the grid unit under the current load relative to other loads. The higher the single responsiveness of the grid unit, the higher its response under the current load, and the lower its response under other loads, ensuring that there is at least one optimal measuring point for monitoring under each load, and the optimized measuring point positions under each load can be comprehensively and accurately selected, so that comprehensive and continuous measuring point optimization selection results can be obtained on complex structures, and the responses caused by all loads can be identified and the number of measuring points can be reduced.

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

[0046] In addition to the above-described purposes, features and advantages, the present invention has other purposes, features and advantages. The present invention will be further described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The drawings constituting a part of this application are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0048] Figure 1 It is a flow chart of a method for optimizing the selection of measuring points based on single responsiveness according to a preferred embodiment of the present application.

[0049] Figure 2 It is a schematic diagram of stress projection of the plane stress of the grid unit on any cross section in the preferred embodiment of the present application.

[0050] Figure 3 yes Figure 1 Schematic diagram of the sub-process of step S3 in FIG.

[0051] Figure 4 It is a schematic diagram of the module structure of a measurement point optimization selection system based on single response degree according to another embodiment of the present application. DETAILED DESCRIPTION

[0052] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0053] Reference Figure 1As shown, the preferred embodiment of the present application provides a method for optimizing the selection of measuring points based on a single responsivity, comprising the following contents:

[0054] Step S1: constructing a structural simulation model of the device under test, creating a separate load simulation model for each load of the device under test based on the structural simulation model and performing loading calculation;

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

[0056] Step S3: calculating the single response of all grid cells 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, the single response calculation results of all grid cells are compared with a preset threshold, and the optimized measurement point positions under the corresponding load are screened out from the grid cells whose single response is greater than the preset threshold.

[0058] It can be understood that the method for optimizing the selection of measuring points based on single responsiveness in this embodiment first creates a separate load simulation model for each load and performs loading calculations, then extracts the plane stress simulation results or plane strain simulation results of all load simulation models, and then calculates the single responsiveness of all grid units in each load simulation model, and finally selects the optimized measuring point positions under the corresponding load from the grid units whose single responsiveness is greater than a preset threshold. The single responsiveness proposed in the present invention can accurately reflect the response of the grid unit under the current load relative to other loads. The higher the single responsiveness of the grid unit, the higher its response under the current load, and the lower its response under other loads, ensuring that there is at least one optimal measuring point for monitoring under each load, and the optimized measuring point position under each load can be comprehensively and accurately selected, so that a comprehensive and continuous measurement point optimization selection result can be obtained on a complex structure, and the responses caused by all loads can be identified and the number of measuring points can be reduced.

[0059] It can be understood that in step S1, a structural simulation model is constructed according to 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 a load calculation is performed. Specifically, based on the three-dimensional structural simulation model of the device under test, a grid that meets the grid quality requirement standard 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 grid, a shell unit or a membrane unit is created on the surface of the solid grid unit, and an initial thickness is given to the shell unit or the membrane unit. The simulation test results of the solid grid simulation model without the shell unit or the membrane unit are compared under the same load Q, and the thickness of the shell unit or the membrane unit is reduced according to the comparison results until the test comparison accuracy δ meets the simulation requirements, wherein Q can be selected as the maximum load of the device under test, and δ can be set to 98%. In addition, a separate load simulation model is created for each load of the device under test for loading calculation, for example, the i-th load of the device under test corresponds to the load simulation model i, i=1,2,3,..., wherein the 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 the load simulation model i, the plane stress simulation result or plane strain simulation result of the shell element or membrane element is extracted, for example, Figure 2 As shown, the extracted plane stress simulation result is σ xi , σ yi and τ xyi , where σ xi represents the stress simulation result of the grid element of the current load simulation model i in the x-axis direction, σ yi represents the stress simulation result of the grid unit of the current load simulation model i in the y-axis direction, τ xyi Represents the shear stress simulation results of the grid unit parallel to the y-axis on the x-plane of the current load simulation model i.

[0061] It can be understood that in step S3, based on the plane stress simulation results or plane strain simulation results of all load simulation models, the single responsivity of all grid cells in each load simulation model can be calculated, wherein the process of calculating the single responsivity based on the plane stress simulation results is basically the same as the process of calculating the single responsivity based on the plane strain simulation results, the only difference is that stress is replaced by strain. Therefore, in the following description, the calculation of the single responsivity based on the plane stress simulation results is used as an example.

[0062] like Figure 3 As shown in FIG. 1 , 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 of each grid unit based on the plane stress simulation result of the current load simulation model;

[0064] Step S32: for the same grid unit, based on the plane stress simulation results of the remaining 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 remaining load simulation models in the maximum principal stress direction and the minimum principal stress direction of the current load simulation model;

[0065] Step S33: Based on the minimum principal stress value and the maximum principal stress value of the current load simulation model and the two stress components of the remaining load simulation models, the single response degree of the grid unit in the current load simulation model is calculated.

[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 grid unit in the current load simulation model are first calculated based on the following formula:

[0067]

[0068]

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

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

[0071] Therefore, in order to distinguish the two angles, the present invention introduces the stress components σ of the plane stress simulation results of the grid unit of the current load simulation model i at the two anglesi_0 and σ i_90 , the principal stress direction angle of each grid 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] Among them, α i_max Represents the angle between the maximum principal stress direction of the grid element of the current load simulation model i and the x-axis direction, α i_min Represents the angle between the minimum principal stress direction of the grid element of the current load simulation model i and the x-axis direction, σ i_0 and σ i_90 They respectively represent the stress components of the plane stress simulation results of the grid unit of the current load simulation model i at two angles.

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

[0078]

[0079]

[0080] Among them, σ ij_max represents the stress component of the plane stress of the remaining load simulation model j in the direction of the maximum principal stress of the current load simulation model i, σ ij_min Represents the stress component of the plane stress of the remaining load simulation model j in the direction of the minimum principal stress of the current load simulation model i, j≠i, σ xj represents the stress simulation results of the grid elements of the remaining load simulation model j in the x-axis direction, σ yj represents the stress simulation results of the grid elements of the remaining load simulation model j in the y-axis direction, τ xyj Represents the shear stress simulation results of the grid elements of the remaining load simulation model j on the x-plane parallel to the y-axis.

[0081] Then, the single responsivity of each grid cell 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] Among them, η i represents the single response of the grid unit in the current load simulation model i, η i_max represents the single response of the grid element in the current load simulation model i in the direction of the maximum principal stress, η i_min represents the single response of the grid element in the direction of the minimum principal stress in the current load simulation model i, η ij_max represents the single response of load i relative to the other loads j in the direction of maximum principal stress, σ′ i It indicates the preset stress screening value, which can be set to 10MPa, which is helpful to screen out the area with smaller stress value under the current load i and avoid using the area with smaller stress value as the measuring point position. ij_min It represents the single response of load i relative to the other loads j in the direction of minimum principal stress.

[0088] It can be understood that when the device under test is subjected to multiple loads, for the same grid unit, its single responsivity 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, the smaller the plane stress component values ​​in the principal stress direction under the other loads, and the higher the single responsivity, so that the responsivity of each grid unit under the current load can be accurately characterized. Therefore, the higher the single responsivity of the grid unit in the current load simulation model, the higher its response under the current load, and the lower its response under the other loads, and the grid unit can be used as the preferred measurement point position.

[0089] It can be understood that in step S4, for each load simulation model i, after calculating the single response calculation results of all its grid units, the calculation results can be compared with the preset single response screening threshold η0. If the single response value of a grid unit is less than or equal to η0, it will not be used as the preferred measuring point position under the current load i. If it is greater than η0, it can be used as the preferred measuring point position under the current load i. The higher the single response value of the grid unit, the better the test effect as the preferred measuring point position. Therefore, for each load i, a grid unit with the largest single response value can be screened out as the optimal measuring point position. Among them, η0 can be set to 0.3.

[0090] Optionally, after calculating the single response results of all grid cells in each load simulation model, a single response cloud map under the corresponding load can also be generated. The cloud map can display the single response size of each area of ​​the device under test under the current load i by color differentiation. The area with a larger value indicates that the optional measuring point position is more sensitive to load i and less sensitive to other loads j. Therefore, the optimized measuring point position is selected in the large numerical area in the single response cloud map. It can be understood that the preferred measuring point position is displayed by the color of the cloud map, and the preferred result is continuously changing and visualized, which can achieve comprehensive and accurate positioning of the preferred measuring points without omission, and can be used to assist in judging the accuracy of the preferred results. In addition, the preferred measuring point position C under the current load i can also be screened out in the cloud map according to the test conditions. i1 , C i2 ...C ik (k=1, 2, 3, ...).

[0091] In addition, if Figure 4 As shown, another embodiment of the present invention further provides a system for optimizing the selection of measuring points based on a single responsivity, preferably using the above-mentioned method for optimizing the selection of measuring points based on a single responsivity, the system comprising:

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

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

[0094] A single response calculation module, used for calculating the single response of all grid cells 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 cells with the preset threshold for each load simulation model, and select the optimized measurement point position under the corresponding load from the grid cells whose single response is greater than the preset threshold.

[0096] It can be understood that the measuring point optimization selection system based on single responsiveness of this embodiment first creates a separate load simulation model for each load and performs loading calculation, then extracts the plane stress simulation results or plane strain simulation results of all load simulation models, and then calculates the single responsiveness of all grid units in each load simulation model, and finally selects the optimized measuring point position under the corresponding load from the grid units whose single responsiveness is greater than the preset threshold. The single responsiveness proposed by the present invention can accurately reflect the response of the grid unit under the current load relative to other loads. The higher the single responsiveness of the grid unit, the higher its response under the current load, and the lower its response under other loads, ensuring that there is at least one optimal measuring point for monitoring under each load, and the optimized measuring point position under each load can be comprehensively and accurately selected, so that comprehensive and continuous measuring point optimization selection results can be obtained on complex structures, and the responses caused by all loads can be identified and the number of measuring points can be reduced.

[0097] In addition, another embodiment of the present invention further 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 above method by calling the computer program stored in the memory.

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

[0099] The general form of computer readable storage media includes: floppy disk, flexible disk, hard disk, magnetic tape, any other magnetic medium, CD-ROM, any other optical medium, punch cards, paper tape, any other physical medium with a pattern of holes, 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 chip or cartridge, or any other medium that can be read by a computer. The instructions can further be transmitted or received by a transmission medium. The term transmission medium can include any tangible or intangible medium that can be used to store, encode or carry instructions for execution by a machine, and includes digital or analog communication signals or other intangible media that facilitate the communication of the above instructions. Transmission media include coaxial cables, copper wires and optical fibers, which include the wires of a bus used to transmit a computer data signal.

[0100] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of complete hardware embodiments, complete software embodiments, or embodiments in combination with software and hardware. Moreover, the present application can adopt 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.) that contain computer-usable program code. The scheme in the embodiments of the present application can be implemented in various computer languages, for example, object-oriented programming language Java and literal scripting language JavaScript, etc.

[0101] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. 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 capable of directing a computer or other programmable data processing device to operate 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 A 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 instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0104] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0105] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

[0106] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for optimizing the selection of measuring points based on single response, characterized in that: Includes the following: Constructing a structural simulation model of the device under test, creating a separate load simulation model for each load of the device under test based on the structural simulation model and performing loading calculation; Extract plane stress simulation results or plane strain simulation results of all load simulation models; 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; For each load simulation model, the single response calculation results of all grid cells are compared with the preset threshold, and the optimized measurement point positions under the corresponding load are screened out from the grid cells whose single response is greater than the preset threshold.

2. The method for optimizing the selection of measuring points based on single response as claimed in claim 1, characterized in that: The process of calculating the single responsivity 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 grid element are calculated based on the plane stress simulation results of the current load simulation model; For the same grid unit, based on the plane stress simulation results of the remaining load simulation models and the principal stress direction angle of the current load simulation model, the stress components of the plane stress of the remaining load simulation models in the maximum principal stress direction and the minimum principal stress direction of the current load simulation model are calculated; Based on the minimum principal stress value and the maximum principal stress value of the current load simulation model and the two stress components of the remaining load simulation models, the single response of the grid unit in the current load simulation model is calculated.

3. The method for optimizing the selection of measuring points based on single response as claimed in claim 2, characterized in that: The minimum and maximum principal stress values ​​of each mesh element in the current load simulation model are calculated based on the following formula: Among them, σ xi represents the stress simulation result of the grid element of the current load simulation model i in the x-axis direction, σ yi represents the stress simulation result of the grid unit of the current load simulation model i in the y-axis direction, τ xy i represents the shear stress simulation result of the grid unit of the current load simulation model i on the x-plane parallel to the y-axis, σ i_min Indicates the minimum principal stress value of the mesh element of the current load simulation model i, σ i_max Indicates the maximum principal stress value of the mesh element of the current load simulation model i.

4. The method for optimizing the selection of measuring points based on single response as claimed in claim 3, 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°； Among them, α i_max Represents the angle between the maximum principal stress direction of the grid element of the current load simulation model i and the x-axis direction, α i_min Represents the angle between the minimum principal stress direction of the grid element of the current load simulation model i and the x-axis direction, σ i_0 and σ i_90 They respectively represent the stress components of the plane stress simulation results of the grid unit of the current load simulation model i at two angles.

5. The method for optimizing the selection of measuring points based on single response as claimed in claim 4, characterized in that: For the same mesh element, the stress components of the plane stress of the remaining load simulation models in the direction of the maximum principal stress and the minimum principal stress of the current load simulation model are calculated based on the following formula: Among them, σ ij_max represents the stress component of the plane stress of the remaining load simulation model j in the direction of the maximum principal stress of the current load simulation model i, σ ij_min Represents the stress component of the plane stress of the remaining load simulation model j in the direction of the minimum principal stress of the current load simulation model i, j≠i, σ xj represents the stress simulation results of the grid elements of the remaining load simulation model j in the x-axis direction, σ yj represents the stress simulation results of the grid elements of the remaining load simulation model j in the y-axis direction, τ xyj Represents the shear stress simulation results of the grid elements of the remaining load simulation model j on the x-plane parallel to the y-axis.

6. The method for optimizing the selection of measuring points based on single response as claimed in claim 5, characterized in that: The single response of each grid cell 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 ); or i_min =min(η i1_min ,or i2_min ...or ij_min ); Among them, η i represents the single response of the grid unit in the current load simulation model i, η i_max represents the single response of the grid element in the current load simulation model i in the direction of the maximum principal stress, η i_min represents the single response of the grid element in the direction of the minimum principal stress in the current load simulation model i, η ij_max represents the single response of load i relative to the other loads j in the direction of maximum principal stress, σ′ i represents the preset stress screening value, η ij_min It represents the single response of load i relative to the other loads j in the direction of minimum principal stress.

7. The method for optimizing the selection of measuring points based on single response as claimed in claim 1, characterized in that: After the single response calculation results of all grid cells in each load simulation model are obtained, a single response cloud map under the corresponding load is generated, and the optimized measurement point position is selected in the large value area in the single response cloud map.

8. A system for optimizing the selection of measuring points based on single response, characterized in that: include: A model building and simulation module is used to build a structural simulation model of the device under test, create a separate load simulation model for each load of the device under test based on the structural simulation model, and perform loading calculations; A simulation result extraction module is used to extract plane stress simulation results or plane strain simulation results of all load simulation models; A single response calculation module, used for calculating the single response of all grid cells 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 cells with the preset threshold for each load simulation model, and select the optimized measurement point position under the corresponding load from the grid cells whose single response is greater than the preset threshold.

9. An electronic device, characterized in that: The method comprises a processor and a memory, wherein the memory stores a computer program, and the processor executes the steps of the method according to any one of claims 1 to 7 by calling the computer program stored in the memory.

10. A computer-readable storage medium for storing a computer program for optimizing the selection of measuring points based on a single responsivity, characterized in that: When the computer program is run on a computer, the steps of the method according to any one of claims 1 to 7 are executed.

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