Modeling analysis method and device for cabin section connecting structure, program product and equipment

Abstract

The embodiment of the invention provides a modeling analysis method and device for a cabin connecting structure, a computer program product and electronic equipment, and relates to the technical field of spacecrafts, and the method comprises the steps: determining the key size of the cabin connecting structure; the critical dimension comprises the geometric dimension of the cabin section and the related dimension of the bolt; determining material parameters of each structure in the cabin section connecting structure and load working conditions of the cabin section connecting structure, inputting the material parameters, the load working conditions and the critical dimensions into a parameterization tool to construct a finite element model of the cabin section connecting structure, and performing finite element analysis on the finite element model; and extracting a loading point deformation value after finite element analysis, determining the bolt connection rigidity based on the loading point deformation value, and determining the target design ratio of the critical dimension of the cabin section connection structure according to the bolt connection rigidity. The design efficiency of the cabin section connecting structure can be improved.

Description

Technical Field

[0001] The embodiments of the present disclosure relate to the field of spacecraft technology, and in particular to a modeling and analysis method for a cabin connection structure, a modeling and analysis device for a cabin connection structure, a computer program product, and an electronic device. Background Art

[0002] Bolted connections are widely used in spacecraft structural design, particularly in module connections. Axial or radial bolts are used to connect two modules, each bearing complex loads such as tension, bending, and torsion. In structural design, the design of module connections often involves a variety of dimensional parameters.

[0003] However, there is currently a lack of a rapid modeling and analysis method for the connection stiffness analysis of cabin bolt connection structures under a variety of different dimensional parameters. As a result, changes to these key dimensions often require re-modeling and analysis, which greatly increases the complexity of structural design and reduces design efficiency. Summary of the Invention

[0004] The purpose of the present disclosure is to provide a modeling and analysis method for a compartment connection structure, a modeling and analysis device for a compartment connection structure, a computer program product, and an electronic device, thereby overcoming, at least to a certain extent, the problem of low design efficiency caused by the limitations and defects of related technologies.

[0005] According to one aspect of the present disclosure, a modeling and analysis method for a compartment connection structure is provided, comprising: determining critical dimensions of the compartment connection structure; the critical dimensions include the geometric dimensions of the compartment and relevant dimensions of the bolts; determining material parameters of each structure in the compartment connection structure and the load conditions of the compartment connection structure, inputting the material parameters, the load conditions and the critical dimensions into a parametric tool to construct a finite element model of the compartment connection structure, and performing finite element analysis on the finite element model; extracting the deformation value of the loading point after the finite element analysis, and determining the bolt connection stiffness based on the loading point deformation value, and determining the target design ratio of the critical dimensions of the compartment connection structure according to the bolt connection stiffness.

[0006] In an exemplary embodiment of the present disclosure, the geometric dimensions of the compartment include one or more of skin length, skin thickness, connection section length and thickness, and elastic modulus; the relevant dimensions of the bolt include one or more of bolt hole diameter, compartment diameter, and bolt preload.

[0007] In an exemplary embodiment of the present disclosure, the parameterization tool is a port created in the finite element analysis software for adjusting various operations of the finite element analysis software.

[0008] In an exemplary embodiment of the present disclosure, performing finite element analysis on the finite element model includes:

[0009] The finite element model is subjected to finite element analysis in combination with the material parameters and the load conditions.

[0010] In an exemplary embodiment of the present disclosure, determining the bolt connection stiffness based on the loading point deformation value includes:

[0011] The bolt connection stiffness is determined based on the ratio of the load borne by the compartment connection structure and the deformation value of the loading point.

[0012] In an exemplary embodiment of the present disclosure, the load includes an axial load, a shear load, and a bending load; the deformation value of the loading point includes an axial deformation value of the loading point, a shear deformation value of the loading point, and a bending deformation value of the loading point;

[0013] Determining the bolt connection stiffness based on the ratio of the load borne by the compartment connection structure and the deformation value of the loading point includes:

[0014] Determine the axial connection stiffness based on the ratio of the axial load and the axial deformation value at the loading point;

[0015] Determine the shear connection stiffness based on the ratio of the shear load to the shear deformation at the loading point;

[0016] The bending connection stiffness is determined based on the ratio of the bending load and the bending deformation value at the loading point.

[0017] In an exemplary embodiment of the present disclosure, determining a target design ratio of a critical dimension of a cabin connection structure according to the bolt connection stiffness includes:

[0018] Combined with the feature importance ranking algorithm, the contribution weight of each key dimension to the connection stiffness of the cabin connection structure is evaluated;

[0019] Based on the established connection stiffness prediction model, a sampling non-dominated sorting genetic algorithm is used to optimize the design of the compartment connection structure. The maximum bolt connection stiffness is taken as the design goal, and the target design ratio of the key dimensions of the compartment connection structure is determined based on the connection stiffness contribution weight.

[0020] According to one aspect of the present disclosure, a modeling and analysis device for a compartment connection structure is provided, comprising:

[0021] A model building module is used to determine the key dimensions of the compartment connection structure; the key dimensions include the geometric dimensions of the compartment and the relevant dimensions of the bolts;

[0022] a finite element analysis module for determining material parameters of each structure in the compartment connection structure and load conditions of the compartment connection structure, inputting the material parameters, load conditions, and key dimensions into a parameterization tool to generate a finite element model, and performing finite element analysis on the finite element model;

[0023] The variable design module is used to extract the deformation value of the loading point after finite element analysis, determine the bolt connection stiffness based on the deformation value of the loading point, and determine the target design ratio of the key size of the compartment connection structure based on the bolt connection stiffness.

[0024] According to one aspect of the present disclosure, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements any one of the above-mentioned methods for modeling and analyzing a compartment connection structure.

[0025] According to one aspect of the present disclosure, an electronic device is provided, comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to execute any one of the above-mentioned modeling and analysis methods for the compartment connection structure by executing the executable instructions.

[0026] The technical solutions provided in the embodiments of the present disclosure provide a parametric modeling tool and analysis method for cabin bolted connection structures. This method can complete an integrated analysis process, including model establishment, simulation analysis, result extraction, influencing factor analysis, and structural optimization, for cabin connection structures. It can also quickly determine the bolted connection stiffness of the cabin connection structure, saving design time and reducing the design difficulty of the cabin connection structure. Furthermore, it avoids the need for frequent re-modeling and analysis due to dimensional changes in related technologies, improving the design efficiency and convenience of cabin connection structures and enhancing the versatility of modeling and analysis for different critical dimensions.

[0027] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The accompanying drawings are incorporated into and constitute a part of the specification, illustrate embodiments consistent with the present disclosure, and together with the specification, are used to explain the principles of the present disclosure. Obviously, the drawings described below are only some embodiments of the present disclosure, and those skilled in the art can derive other drawings based on these drawings without inventive effort.

[0029] Figure 1 A flow chart schematically illustrates a method for modeling and analyzing a compartment connection structure in an embodiment of the present disclosure.

[0030] Figure 2 A schematic diagram schematically shows the key dimensions of the compartment connection structure in an embodiment of the present disclosure.

[0031] Figure 3 A simplified schematic diagram of key dimensions in an embodiment of the present disclosure is schematically shown.

[0032] Figure 4 A schematic diagram schematically illustrates a parameterization tool according to an embodiment of the present disclosure.

[0033] Figure 5 A schematic diagram schematically illustrates a finite element model constructed based on a parametric tool according to an embodiment of the present disclosure.

[0034] Figure 6 A schematic diagram of determining the deformation value of a loading point according to an embodiment of the present disclosure is schematically shown.

[0035] 7A to 7C Schematic illustration of the contribution weights of critical dimensions to the bolted connection stiffness.

[0036] Figures 8A to 8C A schematic diagram of the axial connection stiffness, the shear connection stiffness and the bending connection stiffness is shown schematically in FIG.

[0037] Figure 9 The flow chart of the optimization design is schematically shown in FIG.

[0038] Figure 10 The flowchart of parametric modeling is schematically shown.

[0039] Figure 11 A block diagram schematically illustrates a device for modeling and analyzing a compartment connection structure in an embodiment of the present disclosure.

[0040] Figure 12 The block diagram of the electronic device according to the embodiment of the present disclosure is schematically shown. DETAILED DESCRIPTION

[0041] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that the present disclosure will be more comprehensive and complete and will fully convey the concepts of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced while omitting one or more of the specific details, or that other methods, components, devices, steps, etc. may be employed. In other cases, well-known technical solutions are not shown or described in detail to avoid obscuring various aspects of the present disclosure.

[0042] In addition, the accompanying drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. Identical reference numerals in the figures denote identical or similar parts, and thus repetitive descriptions thereof will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities that do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software, in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0043] Next, refer to Figure 1 The modeling and analysis method of the cabin connection structure in the embodiment of the present disclosure is specifically described as shown in FIG.

[0044] In step S110 , the key dimensions of the compartment connection structure are determined; the key dimensions include the geometric dimensions of the compartment and the relevant dimensions of the bolts.

[0045] In the disclosed embodiments, when connecting spacecraft compartments, the upper and lower compartments are typically connected via axial or radial bolts to jointly withstand combined loads such as tension, bending, and torsion. This improves load-bearing capacity, expands applicability, and facilitates rapid disassembly. The design of the compartment connection structure generally includes various dimensional parameters, such as bolt diameter, material selection, and skin segment thickness and length. The compartment connection structure can be a compartment bolt connection structure.

[0046] Based on this, the key dimensions of the compartment connection structure can be determined first. The compartment connection structure may include an upper compartment and a lower compartment. Key dimensions may include the compartment's geometric dimensions and bolt-related dimensions. The compartment's geometric dimensions may include the dimensions of the upper and lower compartments, and specifically may include one or more of the following: skin length, skin thickness, connection length and thickness, number of bolts, bolt circle diameter, compartment diameter, and elastic modulus. The elastic modulus may include the elastic modulus of the compartment material and the elastic modulus of the bolt material. Bolt-related dimensions may include one or more of the bolt hole diameter, bolt head size, and bolt preload. Bolt head size refers to the size of a hexagonal bolt head. Bolt preload refers to the initial tensile force generated in the bolt's axial direction by tightening the bolt in a bolted connection. Bolt preload ensures close contact between the connected parts under operating loads, preventing loosening, separation, or slippage, while also improving the stiffness and fatigue life of the connection. Figure 2 The key dimensions of the cabin connection structure are shown in Figure 2. In order to facilitate simulation analysis, the key dimensions of the cabin connection structure can be simplified to Figure 3 The key dimensions shown in the diagram are Figure 3 a and b are the head sizes of the hexagonal bolts.

[0047] In step S120, the material parameters of each structure in the compartment connection structure and the load conditions of the compartment connection structure are determined, the material parameters, the load conditions and the key dimensions are input into a parametric tool to construct a finite element model of the compartment connection structure, and finite element analysis is performed on the finite element model.

[0048] In the embodiment of the present disclosure, after determining the critical dimensions of the cabin connection structure, a finite element model of the cabin connection structure can be constructed based on the critical dimensions. When constructing the finite element model, it is also necessary to combine the material parameters of each structure in the cabin connection structure and the load conditions of the cabin connection structure. The material parameters of each structure include cabin material parameters and bolt material parameters. Material parameters refer to the type of material used to prepare each structure in the cabin connection structure. Material parameters can be, for example, steel, titanium, aluminum, etc. Load conditions refer to a combination of external load conditions and boundary conditions applied to the structure, which are used to simulate the mechanical and thermal effects on the structure in an actual working environment.

[0049] For example, after determining the material parameters of each structure in the compartment connection structure and the load conditions of the compartment connection structure, the determined material parameters, load conditions, and key dimensions can be input into a parametric model. By running the parametric model code, the Abaqus software is called to perform finite element analysis on the established finite element model corresponding to the compartment connection structure, combining the determined material parameters and load conditions. Finite element analysis determines finite elements by decomposing a complex continuous system into a finite number of simple units and approximates the behavior of the entire system by solving these units. The finite element analysis process can include: defining the geometry, material properties, and boundary conditions of the analysis object; discretizing the geometric model into a finite number of units and nodes; each unit is described by a simple shape function; setting boundary conditions and load conditions: determining specific conditions such as external forces, heat flow, and flow rate to simulate the real physical environment. FEA software generates a discretized set of mathematical equations based on the model's material properties, unit mesh, loads, and boundary conditions, and solves them.

[0050] Specifically, the determined key dimensions, material parameters of each material, and load conditions of the cabin connection structure can be input into the parametric tool, and the various parts of the cabin connection structure can be quickly modeled through the parametric tool to construct a finite element model of the cabin connection structure. The parametric tool can be a plug-in for rapid modeling and analysis of the cabin connection structure, which is specifically a port created in the finite element analysis software for secondary development and improvement of the finite element analysis software. In some embodiments, the finite element analysis software abaqus can be secondary developed based on python code, and various operations in the finite element analysis software can be sorted out, improved and parameterized, and finally a port can be created in the finite element analysis software abaqus. For example, one or more of the operations such as geometric modeling, material definition, meshing, boundary conditions and load application in the finite element analysis software abaqus can be improved. The interface diagram of the obtained parametric tool can be as shown below. Figure 4 As shown in .

[0051] Based on the above parametric tools, material properties, contact definition and preload application, boundary conditions and load conditions can be defined to build a finite element model. The finite element model built based on the parametric tools can be as follows: Figure 5 As shown in .

[0052] After constructing the finite element model, a finite element analysis can be performed on the model, combining the determined structural parameters of the compartment connection structure and the load conditions. The results of the finite element analysis can be a numerical calculation of the structure's response under given loads and boundary conditions. For example, the finite element analysis can determine the degree of deformation of the compartment connection structure under load. For example, the finite element analysis can provide users with deformation values at the loading point.

[0053] In step S130, the deformation value of the loading point after finite element analysis is extracted, and the bolt connection stiffness is determined based on the deformation value of the loading point, and the target design ratio of the key dimension of the compartment connection structure is determined according to the bolt connection stiffness.

[0054] In the embodiment of the present disclosure, the loading deformation value after finite element analysis can be extracted. An RP point can be created at the center of the upper compartment of the compartment connection structure as a loading point. The RP point (Reference Point) is used to establish coupling constraints. In the model, the RP point is created by coupling multiple nodes into a reference point. The creation of the RP point involves coupling all nodes on the surface into a reference point using rbe2 units, and creating a reference point by automatically calculating the coupling center. Based on this, the upper circle of the upper compartment can be coupled to the loading point. Reference Figure 6 As shown in , the RP-1 point can be extracted from the upper compartment. The RP-1 point is coupled with the end face of the upper compartment and is used to apply the load, serving as the loading end. The RP-2 point is set at the center of the lower compartment. The RP-2 point is coupled with the end face of the lower compartment and is used to set the boundary conditions, that is, as the fixed end.

[0055] In some embodiments, the RP-1 point set in the upper compartment can be used as the loading point, so as to extract the deformation value of the loading point after finite element analysis. Figure 6 As shown in , the deformation value of the loading point can be determined based on the motion trajectory between the initial position of the loading point and the end position of the loading point. In some embodiments, the load is the load borne by the compartment connection structure, which may include axial load, shear load and bending load. Based on this, the deformation value of the loading point can correspond to the type of load. When the load is an axial load, the deformation value of the loading point is the axial deformation value of the loading point; when the load is a shear load, the deformation value of the loading point is the shear deformation value of the loading point; when the load is a bending load, the deformation value of the loading point can be the bending deformation value of the loading point.

[0056] On this basis, the bolt connection stiffness can be determined based on the ratio of the load borne by the compartment connection structure and the deformation value at the loading point. In other words, bolt connection stiffness = load / deformation value at the loading point.

[0057] In some embodiments, when the load is an axial load, the axial connection stiffness can be determined based on the ratio of the axial load to the axial deformation value at the loading point. The axial connection stiffness can be expressed by formula (1):

[0058]

[0059] Among them, K a is the axial connection stiffness, in N / mm; F ais the axial load F,N; ΔS a is the axial deformation value of the loading point, in mm.

[0060] For example, when the load is a shear load, the shear connection stiffness can be determined based on the ratio of the shear load to the shear deformation value at the loading point. Specifically, the shear connection stiffness can be expressed by formula (2):

[0061]

[0062] Among them, K t is the shear connection stiffness, in N / mm; F t is the shear load F,N; ΔS t is the shear deformation value at the loading point, in mm.

[0063] For example, when the load is a bending load, the bending connection stiffness can be determined based on the ratio of the bending load to the bending deformation value at the loading point. Specifically, the bending connection stiffness can be expressed by formula (3):

[0064]

[0065] Among them, K m is the bending connection stiffness, in N / mm; M is the bending load F,N; Δθ is the bending deformation value at the loading point, in mm.

[0066] Based on this, the axial connection stiffness, shear connection stiffness and bending connection stiffness of the cabin section bolt connection structure under the determined key dimensions and load conditions can be calculated according to the axial deformation value, shear deformation value and bending deformation value of the loading point extracted above.

[0067] Furthermore, the target design ratios of the design variables of the cabin connection structure can be determined based on the bolt connection stiffness. For example, the connection stiffness dataset obtained above, determined based on different key dimension combinations, can be used to construct a high-precision proxy model using a gradient boosting regression algorithm through systematic data preprocessing. The gradient boosting regression model can be a tree model.

[0068] Next, the feature importance ranking algorithm can be combined to quantitatively evaluate the contribution weight of each key dimension to the connection stiffness of the compartment connection structure, providing a reliable data-driven foundation for the subsequent multi-objective optimization design based on genetic algorithms. It should be noted that the contribution weight of the same key dimension in different types of connection stiffness can be different. Figure 7A As shown in Figure 2, for the axial connection stiffness, the elastic modulus E of the cabin material has the largest weight, and the thickness T1 of the upper cabin connection section has the smallest weight. Figure 7BAs shown in the figure, for shear connection stiffness, the weight of the elastic modulus E of the cabin material is the largest, and the weight of the thickness T1 of the connection section of the upper cabin is the smallest. In addition, the weight of the elastic modulus of the cabin material in the shear connection stiffness is greater than the weight of the elastic modulus of the cabin material in the axial connection stiffness. Figure 7C As shown, for the bending connection stiffness, the elastic modulus E of the compartment material has the largest weight, and the thickness T1 of the connection section of the upper compartment has the smallest weight.

[0069] Based on this, a non-dominated sorting genetic algorithm (NSGA) can be used to optimize the cabin connection structure using the established connection stiffness prediction model. The target design ratios for each critical dimension are determined, with the maximum axial, shear, and bending connection stiffness as the design objective. The target design ratios are the optimal design ratios for the critical dimensions while satisfying the constraints. For example, the connection stiffness prediction model can be a machine learning model.

[0070] By optimizing the design of the compartment connection structure using the NSGA-II algorithm, multiple Pareto optimal solutions can be obtained, and the target design ratios for each key dimension can be determined. The NSGA-II algorithm is a multi-objective optimization algorithm that uses non-dominated sorting and congestion calculation to find the Pareto optimal solution. The specific steps include:

[0071] Define the objective function and constraints. Generate a finite element model of the compartment connection structure based on the design variables represented by the critical dimensions. Define material properties, contact relationships, boundary conditions, and load conditions. After optimizing the Pareto optimal solution set using the NSGA-II algorithm, determine the target design ratio for each critical dimension. The Pareto optimal solution set is a collection of multiple non-dominated solutions, each representing a combination of design variables. Select one or more solutions from the Pareto optimal solution set as the final design solution. Based on the design solution, calculate the proportional relationship between each critical dimension.

[0072] Figures 8A-8C The schematic diagram of axial connection stiffness, shear connection stiffness and bending connection stiffness is shown in FIG. Figures 8A-8C As shown in the figure, the middle line represents a 1:1 ratio, meaning the true result is equal to the predicted result. Each point within it represents the result under a set of characteristics. The closer these points are to this line, the closer the predicted result is to the true result, indicating that the performance of the connection stiffness prediction model is better.

[0073] Furthermore, based on the established connection stiffness prediction model, a sampling non-dominated sorting genetic algorithm is used to optimize the design of the cabin connection structure. The maximum bolt connection stiffness is taken as the design goal, and the target design ratio of the key dimensions of the cabin connection structure is determined based on the connection stiffness contribution weight.

[0074] Figure 9 The flow chart of the optimization design is schematically shown in FIG. Figure 9 As shown in , it mainly includes the following steps:

[0075] In step S902, define the key dimensions and the constraints of the key dimensions. The key dimensions can be defined as: the skin length L1 of the upper compartment, the skin length L2 of the lower compartment, the thickness T1 of the connection section of the upper compartment, the thickness T2 of the connection section of the lower compartment, the elastic modulus E of the compartment material, and the elastic modulus E of the bolt material. f , number of bolts n, bolt diameter r, bolt preload.

[0076] In step S904, an optimization algorithm is determined, for example, the optimization algorithm can be selected from a gradient descent algorithm, a genetic algorithm, a particle swarm optimization, a Bayesian optimization, and a simulated annealing method.

[0077] In step S906, an optimal solution is sought based on the established high-precision proxy model and an optimization algorithm.

[0078] In step S908 , the optimal solution is verified by combining simulation or experiment.

[0079] In step S910, an optimal solution is output, wherein the optimal solution can be used to determine an optimal design ratio.

[0080] In the disclosed embodiment, a parametric modeling tool and analysis method suitable for cabin bolt connection structures are provided. The method can complete an integrated analysis process including model establishment, simulation analysis, result extraction, influencing factor analysis and structural optimization of the cabin connection structure, and can quickly obtain the connection stiffness response of the cabin bolt connection structure by modifying key dimensions, thereby saving the design time of the cabin connection structure and improving efficiency.

[0081] Figure 10 The flowchart of parametric modeling is shown schematically, refer to Figure 10 As shown in , it mainly includes the following steps:

[0082] Step S1002: Determine the key dimensions of the cabin connection structure, such as skin length, skin thickness, connection section length and thickness, elastic modulus, bolt diameter, bolt diameter, and bolt preload.

[0083] Step S1004: Determine material parameters and load conditions, for example, determine cabin material, bolt material, load conditions, and boundary conditions.

[0084] Step S1006: Use parametric tools to complete modeling and simulation analysis of the cabin connection structure.

[0085] Step S1008: Obtain the connection stiffness response of different key dimensions to the cabin connection structure, that is, determine the bolt connection stiffness based on the ratio of the load and the deformation value of the loading point.

[0086] Step S1010: optimizing the design of the cabin connection structure.

[0087] According to the parametric modeling and analysis method of the cabin connection structure proposed in the present invention, the influence of variable factors represented by multiple key dimensions on the bolt connection stiffness can be quickly obtained. In the design of the cabin connection structure, factors that have a great influence on the bolt connection stiffness are given priority, which can greatly improve the efficiency of structural design and increase convenience.

[0088] The embodiment of the present disclosure provides a parametric modeling method suitable for the cabin section bolt connection structure. The method can complete the integrated analysis process of model establishment, simulation analysis, result extraction, etc. of the cabin section connection structure, and can quickly obtain the bolt connection stiffness response of the cabin section connection structure by modifying key dimensions, saving the design time of the cabin section connection structure. At the same time, the cabin section connection structure can be optimized based on the embodiment of the present disclosure, reducing the complexity of the cabin section connection structure design and improving the design efficiency of the cabin section connection structure.

[0089] In some embodiments, a modeling and analysis device for a compartment connection structure is also provided. Figure 11 As shown, the modeling and analysis device 1100 for the compartment connection structure mainly includes the following modules:

[0090] Model building module 1101 is used to determine the key dimensions of the cabin connection structure; the key dimensions include the geometric dimensions of the cabin and the relevant dimensions of the bolts;

[0091] The finite element analysis module 1102 is used to determine the material parameters of each structure in the compartment connection structure and the load conditions of the compartment connection structure, input the material parameters, the load conditions and the key dimensions into a parameterization tool to generate a finite element model, and perform finite element analysis on the finite element model;

[0092] The variable design module 1103 is used to extract the deformation value of the loading point after finite element analysis, determine the bolt connection stiffness based on the deformation value of the loading point, and determine the target design ratio of the key size of the cabin connection structure based on the bolt connection stiffness.

[0093] In an exemplary embodiment of the present disclosure, the geometric dimensions of the compartment include one or more of skin length, skin thickness, connection section length, connection section thickness, number of bolts, bolt distribution circle diameter, compartment diameter, and elastic modulus; the relevant dimensions of the bolts include one or more of bolt hole diameter, bolt head size, and bolt preload force.

[0094] In an exemplary embodiment of the present disclosure, the parameterization tool is a port created in the finite element analysis software for adjusting various operations of the finite element analysis software.

[0095] In an exemplary embodiment of the present disclosure, performing finite element analysis on the finite element model includes:

[0096] The finite element model is subjected to finite element analysis in combination with the material parameters and the load conditions.

[0097] In an exemplary embodiment of the present disclosure, determining the bolt connection stiffness based on the loading point deformation value includes:

[0098] The bolt connection stiffness is determined based on the ratio of the load borne by the compartment connection structure and the deformation value of the loading point.

[0099] In an exemplary embodiment of the present disclosure, the load includes an axial load, a shear load, and a bending load; the deformation value of the loading point includes an axial deformation value of the loading point, a shear deformation value of the loading point, and a bending deformation value of the loading point;

[0100] Determining the bolt connection stiffness based on the ratio of the load borne by the compartment connection structure and the deformation value of the loading point includes:

[0101] Determine the axial connection stiffness based on the ratio of the axial load and the axial deformation value at the loading point;

[0102] Determine the shear connection stiffness based on the ratio of the shear load to the shear deformation at the loading point;

[0103] The bending connection stiffness is determined based on the ratio of the bending load and the bending deformation value at the loading point.

[0104] In an exemplary embodiment of the present disclosure, determining a target design ratio of a critical dimension of a cabin connection structure according to the bolt connection stiffness includes:

[0105] Combined with the feature importance ranking algorithm, the contribution weight of each key dimension to the connection stiffness of the cabin connection structure is evaluated;

[0106] Based on the established connection stiffness prediction model, a sampling non-dominated sorting genetic algorithm is used to optimize the design of the compartment connection structure. The maximum bolt connection stiffness is taken as the design goal, and the target design ratio of the key dimensions of the compartment connection structure is determined based on the connection stiffness contribution weight.

[0107] It should be noted that the specific details of each module in the above-mentioned modeling and analysis device for the compartment connection structure have been described in detail in the corresponding modeling and analysis method for the compartment connection structure, and therefore will not be repeated here.

[0108] It should be noted that although several modules or units of the device for action execution are mentioned in the detailed description above, this division is not mandatory. In fact, according to the embodiments of the present disclosure, the features and functions of two or more modules or units described above can be concretized in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided into multiple modules or units to be concretized.

[0109] Furthermore, although the steps of the method of the present disclosure are described in a particular order in the accompanying drawings, this does not require or imply that the steps must be performed in this particular order, or that all steps shown must be performed to achieve the desired results. Additionally or alternatively, some steps may be omitted, multiple steps may be combined into one step, and / or one step may be decomposed into multiple steps.

[0110] In an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.

[0111] Those skilled in the art will appreciate that various aspects of the present disclosure may be implemented as systems, methods, or program products. Therefore, various aspects of the present disclosure may be implemented in the following forms: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or a combination of hardware and software implementations, which may be collectively referred to herein as "circuits," "modules," or "systems."

[0112] Refer to the following Figure 12 12 is a diagram to describe the electronic device 1200 according to this embodiment of the present disclosure. Figure 12 The electronic device 1200 shown is merely an example and should not limit the functions and scope of use of the embodiments of the present disclosure.

[0113] like Figure 12 As shown, electronic device 1200 is implemented as a general-purpose computing device. Components of electronic device 1200 may include, but are not limited to, the aforementioned at least one processing unit 1210, the aforementioned at least one storage unit 1220, a bus 1230 connecting various system components (including storage unit 1220 and processing unit 1210), and a display unit 1240.

[0114] The storage unit stores program codes, which can be executed by the processing unit 1210, so that the processing unit 1210 performs the steps described in the "Exemplary Method" section of the present specification according to various exemplary embodiments of the present disclosure. For example, the processing unit 1210 can perform the following steps: Figure 1 Follow the steps shown in .

[0115] The storage unit 1220 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 12201 and / or a cache memory unit 12202 , and may further include a read-only memory unit (ROM) 12203 .

[0116] The storage unit 1220 may also include a program / utility 12204 having a set (at least one) of program modules 12205, such program modules 12205 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0117] The bus 1230 may represent one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0118] The electronic device 1200 can also communicate with one or more external devices 600 (e.g., a keyboard, a pointing device, a Bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 1200, and / or any device that enables the electronic device 1200 to communicate with one or more other computing devices (e.g., a router, a modem, etc.). Such communication can occur via an input / output (I / O) interface 1250. Furthermore, the electronic device 1200 can communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network such as the Internet) via a network adapter 1260. As shown, the network adapter 1260 communicates with other modules of the electronic device 1200 via a bus 1230. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with the electronic device 1200, including but not limited to microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0119] It should be noted that some embodiments of the present disclosure further provide a computer program product, which includes a computer program, and the computer program implements the above method when executed by a processor.

[0120] In one embodiment, a computer program product may be a tangible product containing a computer program, such as a computer-readable storage medium storing a computer program. The readable storage medium may be a storage medium based on electrical, magnetic, optical, electromagnetic, infrared, or other signals, including but not limited to: random access memory (RAM), read-only memory (ROM), magnetic tape, floppy disk, flash memory (Flash), mechanical hard disk (HDD), solid-state drive (SSD), and the like. Exemplarily, a computer program product may be implemented as a non-volatile storage medium storing a computer program, such as a read-only memory, a NAND flash memory (Nand Flash), and the like. In one embodiment, a computer program product may be an intangible product containing a computer program. Exemplarily, a computer program product may be implemented as a virtual digital product, such as a digital file such as an executable file or installation package storing a computer program.

[0121] The code of the computer program can be written in one or more programming languages. Programming languages include C, Java, C++, etc. The program code can be executed entirely on the user computing device, partially on the user computing device, or as a separate software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device via any type of network, such as a local area network (LAN), a wide area network (WAN), etc., or can be connected to an external computing device (e.g., via an Internet connection provided by a carrier).

[0122] Computer programs can be carried or transmitted via electrical, magnetic, optical, electromagnetic, infrared, or other signals. Electronic devices can convert signals carrying computer programs into digital signals to run the computer programs. When the computer program is run on an electronic device, its code causes the electronic device to execute (more specifically, the processor of the electronic device to execute) the method steps of various exemplary embodiments of the present disclosure.

[0123] Through the description of the above embodiments, it is easy for those skilled in the art to understand that the example embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.

[0124] Furthermore, the figures above are merely illustrative of the processes included in the methods according to exemplary embodiments of the present disclosure and are not intended to be limiting. It is readily understood that the processes illustrated in the figures above do not indicate or limit the temporal order of these processes. Furthermore, it is readily understood that these processes may be executed synchronously or asynchronously, for example, in multiple modules.

[0125] It should be noted that although several modules or units of the device for action execution are mentioned in the detailed description above, this division is not mandatory. In fact, according to the embodiments of the present disclosure, the features and functions of two or more modules or units described above can be concretized in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided into multiple modules or units to be concretized.

[0126] Other embodiments of the present disclosure will readily occur to those skilled in the art after considering the specification and practicing what is disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered as exemplary only, with the true scope and spirit of the present disclosure being indicated by the claims.

[0127] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes can be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A modeling and analysis method for a compartment connection structure, characterized in that: include: Determine the critical dimensions of the compartment connection structure; The critical dimensions include the geometric dimensions of the compartment and the relevant dimensions of the bolts; Determining material parameters of each structure in the compartment connection structure and load conditions of the compartment connection structure, inputting the material parameters, the load conditions, and the key dimensions into a parametric tool to construct a finite element model of the compartment connection structure, and performing finite element analysis on the finite element model; The loading point deformation values after finite element analysis are extracted, and the bolt connection stiffness is determined based on the loading point deformation values. The target design ratio of the key dimensions of the compartment connection structure is determined based on the bolt connection stiffness.

2. The method according to claim 1, characterized in that The geometric dimensions of the compartment include one or more of skin length, skin thickness, connection section length, connection section thickness, number of bolts, bolt distribution circle diameter, compartment diameter, and elastic modulus; the relevant dimensions of the bolts include one or more of bolt hole diameter, bolt head size, and bolt preload.

3. The method according to claim 1, characterized in that The parameterization tool is a port created in the finite element analysis software and is used to adjust various operations of the finite element analysis software.

4. The method according to claim 1, wherein The performing finite element analysis on the finite element model comprises: The finite element model is subjected to finite element analysis in combination with the material parameters and the load conditions.

5. The method according to claim 1, characterized in that Determining the bolt connection stiffness based on the loading point deformation value includes: The bolt connection stiffness is determined based on the ratio of the load borne by the compartment connection structure and the deformation value of the loading point.

6. The method according to claim 5, characterized in that The load includes axial load, shear load and bending load; the deformation value of the loading point includes the axial deformation value of the loading point, the shear deformation value of the loading point and the bending deformation value of the loading point; Determining the bolt connection stiffness based on the ratio of the load borne by the compartment connection structure and the deformation value of the loading point includes: Determine the axial connection stiffness based on the ratio of the axial load and the axial deformation value at the loading point; Determine the shear connection stiffness based on the ratio of the shear load to the shear deformation at the loading point; The bending connection stiffness is determined based on the ratio of the bending load and the bending deformation value at the loading point.

7. The method according to claim 1, characterized in that Determining the target design ratio of the key dimensions of the cabin connection structure based on the bolt connection stiffness includes: Combined with the feature importance ranking algorithm, the contribution weight of each key dimension to the connection stiffness of the cabin connection structure is evaluated; Based on the established connection stiffness prediction model, a sampling non-dominated sorting genetic algorithm is used to optimize the design of the compartment connection structure. The maximum bolt connection stiffness is taken as the design goal, and the target design ratio of the key dimensions of the compartment connection structure is determined based on the connection stiffness contribution weight.

8. A modeling and analysis device for cabin connection structures, characterized in that: include: Model building module for determining critical dimensions of compartment connection structures; The critical dimensions include the geometric dimensions of the compartment and the relevant dimensions of the bolts; a finite element analysis module for determining material parameters of each structure in the compartment connection structure and load conditions of the compartment connection structure, inputting the material parameters, load conditions, and key dimensions into a parameterization tool to construct a finite element model of the compartment connection structure, and performing finite element analysis on the finite element model; The variable design module is used to extract the deformation value of the loading point after finite element analysis, determine the bolt connection stiffness based on the deformation value of the loading point, and determine the target design ratio of the key size of the compartment connection structure based on the bolt connection stiffness.

9. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the modeling and analysis method of the cabin connection structure according to any one of claims 1 to 7 is implemented.

10. An electronic device, characterized in that: include: processor; as well as a memory for storing executable instructions of the processor; The processor is configured to execute the modeling and analysis method of the compartment connection structure according to any one of claims 1 to 7 by executing the executable instructions.

Images