Nail group arrangement optimization method and device

By optimizing the nail group layout through finite element numerical analysis and optimization calculations, the problem of time consumption in traditional methods is solved, and efficient design and improved connection performance of nail group layout are achieved.

CN121598696APending Publication Date: 2026-03-03XIAN AIRCRAFT DESIGN INST OF AVIATION IND OF CHINA
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Patent Information

Application Number
CN202511765178.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-27
Publication Date
2026-03-03

AI Technical Summary

Technical Problem

Traditional pin group deployment methods require repeated iterations, which is time-consuming and cannot meet the rapid response requirements of the aircraft design phase. Furthermore, they suffer from insufficient connection strength.

Method used

The finite element numerical analysis method is adopted. By arranging the nail groups at equal intervals to connect the points, the spring element stiffness is configured as the product of the initial stiffness parameter and the discrete variable. The discrete variables of the screws are optimized to minimize the number of screws, unnecessary screws are deleted, and the nail edge distance and nail spacing are adjusted to optimize the distribution of the nail groups.

Benefits of technology

It improves the design efficiency of spike group layout, reduces the waste of structural mass and connection performance margin, and meets the rapid response requirements of aircraft design.

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Abstract

The invention provides a nail group arrangement optimization method and device, and the method comprises the steps: determining a connection region of a connecting piece and a connected piece, and arranging the connection points of a nail group in the connection region at equal intervals; a finite element numerical analysis method is adopted to carry out finite element grid division on the connecting piece and the connected piece, spring elements are established on the connecting point positions, and boundary conditions are determined according to the actual bearing condition; configuring the stiffness of each spring element as a product of an initial stiffness parameter and a discrete variable; all the discrete variables serve as optimization variables, on the premise that the maximum load value of a single screw meets the allowable value requirement, optimization calculation is carried out with the minimum sum of the discrete variables as an optimization objective function, and the discrete variable corresponding to each screw is obtained; if the discrete variable ti is equal to 1, the corresponding screws are reserved, and if the discrete variable ti is equal to epsilon, the corresponding screws are deleted, so that screw group distribution is obtained, and according to the design requirement, screw edge distance and screw spacing adjustment is conducted on the obtained screw group distribution to obtain the optimal arrangement of the screw group.
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Description

Technical Field

[0001] This application belongs to the field of aerospace structural design technology, and specifically relates to a method and device for optimizing the arrangement of spike groups. Background Technology

[0002] Aircraft structures extensively utilize bolts, rivets, and other fasteners. For critical joints and locations transmitting heavy loads, multiple rows of bolts are often arranged to form rivet clusters. The proper distribution of these rivet clusters to ensure the rivet load meets strength requirements directly impacts the performance of the connection, which is crucial for the structural strength and safety of the aircraft.

[0003] Traditional bolt cluster layouts rely on empirical design, followed by calculation of bolt loads and connection margins using the finite element method. For sections where connection strength is insufficient, reinforcement is achieved by increasing the diameter or number of bolts. However, traditional bolt cluster layout methods require iterative iterations, consuming significant time and failing to meet the rapid response requirements of the aircraft design phase.

[0004] Therefore, to address the shortcomings of existing nail group distribution settings, an optimization method for nail group arrangement is needed to reduce the load on a single nail while improving connection performance and design efficiency. Summary of the Invention

[0005] The purpose of this application is to provide a method and apparatus for optimizing the arrangement of nail groups, so as to solve or alleviate at least one of the problems in the prior art.

[0006] The technical solution of this application is: a method for optimizing the arrangement of nail groups, comprising:

[0007] Determine the connection area between the connector and the connected component, and arrange the connection points of the nail group at equal intervals within the connection area;

[0008] Finite element numerical analysis method is used to generate finite element meshes for the connector and the connected parts. Spring elements are established at all possible connection points, and boundary conditions are determined according to the actual load-bearing conditions.

[0009] The stiffness of each spring element is configured as an initial stiffness parameter and a discrete variable t. i The product of and , where i represents the screw number, and the discrete variable t i =1 or t i =ε, where ε is a value much smaller than 1;

[0010] With all discrete variables t i As optimization variables, under the premise that the maximum load of a single screw meets the allowable value requirement, the sum of discrete variables is used. Minimize the value of the screw as the objective function to perform optimization calculations and obtain the discrete variable t for each screw. i ;

[0011] Determine the discrete variable t i If discrete variable t i =1, then the corresponding screw is retained, if the discrete variable t i If the value is equal to ε, then the corresponding screw is deleted, thus obtaining the screw group distribution. According to the design requirements, the screw group distribution is adjusted by adjusting the screw edge distance and screw spacing to obtain the optimal screw group arrangement.

[0012] Preferably, the equal spacing is the minimum nail spacing.

[0013] Preferably, the initial stiffness parameter is determined based on empirical values.

[0014] Preferably, the value much less than 1 refers to no more than one-hundredth of 1.

[0015] Preferably, the method selected during the optimization calculation is the parameter optimization method.

[0016] On the other hand, this application provides a nail group arrangement optimization device, including:

[0017] The initial layout module determines the connection area between the connector and the connected component, and arranges the connection points of the nail group at equal intervals within the connection area;

[0018] The mesh generation module uses the finite element numerical analysis method to perform finite element mesh generation on the connector and the connected parts, establishes spring elements at all possible connection points, and determines the boundary conditions according to the actual load-bearing conditions.

[0019] The parameter calculation module configures the stiffness of each spring element as an initial stiffness parameter and a discrete variable t. i The product of and , where i represents the screw number, and the discrete variable t i =1 or t i =ε, where ε is a value much smaller than 1;

[0020] Optimize the calculation module to include all discrete variables t i As optimization variables, under the premise that the maximum load of a single screw meets the allowable value requirement, the optimization calculation is carried out with the minimum sum of discrete variables as the optimization objective function to obtain the discrete variable t corresponding to each screw. i ;

[0021] The optimization layout module is used to determine the discrete variable t. i If discrete variable t i When =1, retain the corresponding screw, if the discrete variable t i =ε Delete the corresponding screws to obtain the screw group distribution. According to the design requirements, adjust the screw edge distance and screw spacing of the obtained screw group distribution to obtain the optimal screw group arrangement.

[0022] Preferably, the equal spacing is the minimum nail spacing.

[0023] Preferably, the initial stiffness parameter is determined based on empirical values.

[0024] Preferably, the value much less than 1 refers to no more than one-hundredth of 1.

[0025] Preferably, the method selected during the optimization calculation is the parameter optimization method.

[0026] Thirdly, this application provides an electronic device, comprising:

[0027] One or more processors;

[0028] Memory;

[0029] One or more applications, which are stored in the memory and configured to be executed by the one or more processors, are configured to implement the nail group layout optimization method as described in any of the preceding claims.

[0030] Finally, this application provides a computer-readable storage medium storing at least one instruction, at least one program, code set, or instruction set, wherein the at least one instruction, the at least one program, the code set, or the instruction set is loaded and executed by a processor to implement the pin group layout optimization method as described in any of the preceding claims.

[0031] The method and apparatus of this application can effectively complete the optimized design of spike group arrangement, greatly improve the connection performance and design efficiency of the structure, reduce margin waste, and effectively reduce the weight of the aircraft. Attached Figure Description

[0032] To more clearly illustrate the technical solutions provided in this application, the accompanying drawings will be briefly described below. Obviously, the drawings described below are merely some embodiments of this application.

[0033] Figure 1 This is a schematic diagram of the nail group layout optimization method of this application.

[0034] Figure 2 This is a schematic diagram of the connection of a partial structure of the lower hull of an aircraft according to an embodiment of this application.

[0035] Figure 3 This is a schematic diagram of the initial distribution of the nail group according to an embodiment of this application.

[0036] Figure 4 This is a schematic diagram of the optimized nail group distribution according to an embodiment of this application.

[0037] Figure 5This is a schematic diagram of the final nail group distribution according to an embodiment of this application.

[0038] Figure 6 This is a schematic diagram of the nail group layout optimization method of this application. Detailed Implementation

[0039] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions in the embodiments of this application will be described in more detail below with reference to the accompanying drawings.

[0040] like Figure 1 As shown, the nail group layout optimization method provided in this application includes the following process:

[0041] Step S1: Determine the connection area between the connector and the connected part, and arrange the connection points of the nail group at equal intervals (minimum nail spacing) within the connection area.

[0042] like Figure 2 This is a schematic diagram of the partial connection structure of the aircraft lower hull in this embodiment of the application. The aircraft lower hull structure frame 2 and the crossbeam 3 have an overlapping part, which needs to be connected by a group of nails. Thus, the overlapping part is the connection area 1.

[0043] Figure 3 As shown, connection points are initially arranged horizontally and vertically evenly within the connection area 1 for installing pins or screws 4.

[0044] Step S2: Use the finite element numerical analysis method to perform finite element mesh generation on the connector and the connected parts, establish spring elements at all possible connection points as the initial design of the connection, and determine its boundary conditions according to the actual load-bearing conditions.

[0045] Step S3: Set the stiffness of each spring element to an initial stiffness parameter and a discrete variable t. i The product of (i represents the screw number), where the discrete variable t i =1 or t i =ε, where ε is a value much smaller than 1.

[0046] In this application, the initial stiffness parameters can be set based on experience.

[0047] In this application, "far less than 1" generally refers to no more than one-hundredth of 1. In this embodiment of the application, t... i The discrete variable configuration was performed using 0.0001 (one ten-thousandth) as an example.

[0048] Step S4, with all discrete variables t i As optimization variables, under the premise that the maximum load of a single screw meets the allowable value requirement, the sum of discrete variables is used. Minimize the value of the screw as the objective function to perform optimization calculations and obtain the discrete variable t for each screw. i .

[0049] In some embodiments of this application, a parameter optimization method is selected to optimize the above-mentioned discrete variables until the results converge, thereby obtaining the discrete variable t corresponding to each screw. i .

[0050] Step S5, determine the discrete variable t i If discrete variable t i =1, then the screw is retained, if the discrete variable t i If the value is equal to ε, then the screw is deleted, thus obtaining the screw group distribution. Finally, the screw edge distance and screw spacing can be adjusted appropriately according to the design requirements to obtain the optimal arrangement of the screw group.

[0051] like Figure 4 The diagram shows the distribution of the screw cluster after optimization. After optimization, some screws were removed, and they are roughly located in the lower part of the cluster. Figure 5 The diagram shows the distribution of the nail group after adjusting the nail edge distance and spacing. After optimization, the number of structural nail groups is 18, and the maximum load of a single screw is 4791.35N, which is less than the maximum allowable load of the screw and can meet the usage requirements of the screw. In contrast, the initial nail group layout had 45 nails, and the maximum load of a single screw was 4109.64N, which resulted in wasted margin and increased weight.

[0052] The method described in this application can effectively complete the optimized design of the spike group layout, greatly improve the connection performance and design efficiency of the structure, reduce margin waste, and effectively reduce the weight of the aircraft.

[0053] In this technology, such as Figure 6 As shown, this application provides a nail group layout optimization device, the device 100 including:

[0054] The initial arrangement module 101 is used to determine the connection area between the connector and the connected component, and to arrange the connection points of the nail group at equal intervals within the connection area.

[0055] The mesh generation module 102 is used to perform finite element mesh generation on the connector and the connected parts using the finite element numerical analysis method, to establish spring elements at all possible connection points, and to determine the boundary conditions according to the actual load-bearing conditions.

[0056] Parameter calculation module 103 is used to configure the stiffness of each spring element as an initial stiffness parameter and a discrete variable t. i The product of and , where i represents the screw number, and the discrete variable t i =1 or t i =ε, where ε is a value much smaller than 1;

[0057] Optimization calculation module 104 is used to calculate all discrete variables t i As optimization variables, under the premise that the maximum load of a single screw meets the allowable value requirement, the optimization calculation is carried out with the minimum sum of discrete variables as the optimization objective function to obtain the discrete variable t corresponding to each screw. i ;

[0058] Optimization layout module 105 is used to determine the discrete variable t. i In discrete variable t i When =1, retain the corresponding screw in the discrete variable t. i =ε Delete the corresponding screws to obtain the screw group distribution. According to the design requirements, adjust the screw edge distance and screw spacing of the obtained screw group distribution to obtain the optimal screw group arrangement.

[0059] The processing procedures of each module of the nail group layout optimization device in this application can refer to the nail group layout optimization method described above, and will not be repeated here.

[0060] In addition, this application also provides an electronic device, which includes:

[0061] One or more processors;

[0062] Memory;

[0063] One or more applications, which are stored in the memory and configured to be executed by the one or more processors, are configured to implement the nail group layout optimization method as described in any of the preceding claims.

[0064] Finally, this application also provides a computer-readable storage medium, characterized in that the computer-readable storage medium stores at least one instruction, at least one program, code set, or instruction set, wherein the at least one instruction, the at least one program, the code set, or the instruction set is loaded and executed by a processor to implement the pin group arrangement optimization method described above.

[0065] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for optimizing the arrangement of nail groups, characterized in that, include: Determine the connection area between the connector and the connected component, and arrange the connection points of the nail group at equal intervals within the connection area; Finite element numerical analysis method is used to generate finite element meshes for the connector and the connected parts. Spring elements are established at all possible connection points, and boundary conditions are determined according to the actual load-bearing conditions. The stiffness of each spring element is configured as an initial stiffness parameter and a discrete variable t. i The product of and , where i represents the screw number, and the discrete variable t i =1 or t i =ε, where ε is a value much smaller than 1; With all discrete variables t i As optimization variables, under the premise that the maximum load of a single screw meets the allowable value requirement, the optimization calculation is carried out with the minimum sum of discrete variables as the optimization objective function to obtain the discrete variable t corresponding to each screw. i ; Determine the discrete variable t i If discrete variable t i =1, then the corresponding screw is retained, if the discrete variable t i If the value is equal to ε, then the corresponding screw is deleted, thus obtaining the screw group distribution. According to the design requirements, the screw group distribution is adjusted by adjusting the screw edge distance and screw spacing to obtain the optimal screw group arrangement.

2. The method for optimizing the arrangement of nail groups as described in claim 1, characterized in that, The equal spacing refers to the minimum nail spacing.

3. The method for optimizing the arrangement of nail groups as described in claim 1, characterized in that, The initial stiffness parameters are determined based on empirical values.

4. The method for optimizing the arrangement of nail groups as described in claim 1, characterized in that, The value much less than 1 refers to no more than one-hundredth of 1.

5. The method for optimizing the arrangement of nail groups as described in claim 1, characterized in that, The method selected for the optimization calculation is the parameter optimization method.

6. A device for optimizing the arrangement of nail groups, characterized in that, include: The initial layout module determines the connection area between the connector and the connected component, and arranges the connection points of the nail group at equal intervals within the connection area; The mesh generation module uses the finite element numerical analysis method to perform finite element mesh generation on the connector and the connected parts, establishes spring elements at all possible connection points, and determines the boundary conditions according to the actual load-bearing conditions. The parameter calculation module configures the stiffness of each spring element as an initial stiffness parameter and a discrete variable t. i The product of and , where i represents the screw number, and the discrete variable t i =1 or t i =ε, where ε is a value much smaller than 1; Optimize the calculation module to include all discrete variables t i As optimization variables, under the premise that the maximum load of a single screw meets the allowable value requirement, the optimization calculation is carried out with the minimum sum of discrete variables as the optimization objective function to obtain the discrete variable t corresponding to each screw. i ; The optimization layout module is used to determine the discrete variable t. i If discrete variable t i When =1, retain the corresponding screw in the discrete variable t. i =ε Delete the corresponding screws to obtain the screw group distribution. According to the design requirements, adjust the screw edge distance and screw spacing of the obtained screw group distribution to obtain the optimal screw group arrangement.

7. The nail group arrangement optimization device as described in claim 1, characterized in that, The equal spacing refers to the minimum nail spacing.

8. The nail group arrangement optimization device as described in claim 1, characterized in that, The initial stiffness parameters are determined based on empirical values.

9. The nail group arrangement optimization device as described in claim 1, characterized in that, The value much less than 1 refers to no more than one-hundredth of 1.

10. The nail group arrangement optimization device as described in claim 1, characterized in that, The method selected for the optimization calculation is the parameter optimization method.

11. An electronic device, characterized in that, include: One or more processors; Memory; One or more applications, which are stored in the memory and configured to be executed by the one or more processors, are configured to implement the nail group layout optimization method as described in any one of claims 1 to 5.

12. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores at least one instruction, at least one program, code set, or instruction set, wherein the at least one instruction, the at least one program, the code set, or the instruction set is loaded and executed by a processor to implement the nail group layout optimization method as described in any one of claims 1 to 5.