Threshold beam structure optimization method and device and electronic equipment

Abstract

The invention discloses a threshold beam structure optimization method and device and electronic equipment. The method comprises the following steps: acquiring an initial model with the same outline as an original threshold beam; the initial model is subjected to topological optimization processing, a topological optimization model is obtained, topological optimization processing comprises variable design, constraint response and target response, the variable design comprises processing of a filling area in the contour of the initial model, and the target response comprises processing of the filling area in the contour of the initial model; the constraint response comprises adopting displacement constraints and volume fraction constraints under a plurality of working conditions to constrain the initial model, the target response comprises adopting a multi-target function to optimize the initial model, and the multi-target function takes weighted flexibility minimization under the plurality of working conditions as a target; and performing geometric reconstruction processing on the topological optimization model to obtain a reconstructed model. The technical problem that the lightweight requirement and the rigidity maximization requirement under various working conditions cannot be met due to the fact that the structural design of the threshold beam in the related technology is mostly optimized for a single working condition is solved.

Description

Technical Field

[0001] The present application relates to the technical field of structural optimization analysis, and in particular to a structural optimization method, device and electronic equipment for a threshold beam. Background Art

[0002] With the booming development of new energy vehicles, lightweight design has become a key strategy to improve vehicle energy efficiency and extend mileage. As an important part of the vehicle body structure, the car sill beam not only bears the weight of the vehicle, but also plays a key supporting and protective role in frontal and side collisions. However, the contradiction between lightweight design and maintaining structural safety has become increasingly prominent, especially in the design of the sill beam. How to reduce weight while ensuring sufficient rigidity under various working conditions has become a major challenge facing engineers.

[0003] In related technologies, the lightweight design of the sill beam mostly adopts the topological optimization method under a single working condition, with the goal of minimizing displacement and volume fraction constraints, ignoring the complex and changeable loading conditions that the vehicle will encounter in actual operation. For example, the sill beam needs to bear the vertical load of the front seat beam, the vertical load of the rear seat beam, the lateral load, the vertical load of the battery installation point, and the vertical load of the center plane of the sill beam at the same time. Although the optimization method under a single working condition can achieve lightweight and stiffness improvement under specific working conditions, it may not be able to achieve the optimal under other working conditions, and may even affect the overall safety performance of the vehicle.

[0004] Therefore, the rocker beam structure optimization method in the related art has certain limitations when dealing with the balance between lightweight and multi-working condition stiffness optimization, and cannot effectively meet the comprehensive requirements of new energy vehicles for the rocker beam structure performance.

[0005] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0006] The embodiments of the present application provide a method, device and electronic device for optimizing the structure of a threshold beam, so as to at least solve the technical problem that the structural design of the threshold beam in the related art is mostly optimized for a single working condition and cannot meet the requirements of lightweight and maximum stiffness under multiple working conditions.

[0007] According to one aspect of an embodiment of the present application, a structural optimization method for a threshold beam is provided, comprising: obtaining an initial model identical to an original threshold beam profile; performing topology optimization processing on the initial model to obtain a topology optimization model, wherein the topology optimization processing includes design variables, constraint responses, and target responses, the design variables include processing a fill area within the initial model profile, the constraint responses include constraining the initial model using displacement constraints and volume fraction constraints under multiple working conditions, and the target response includes optimizing the initial model using a multi-objective function, wherein the multi-objective function takes weighted flexibility minimization under multiple working conditions as a target; performing geometric reconstruction processing on the topology optimization model to obtain a reconstructed model, wherein the reconstructed model is a geometric model that includes the threshold beam design after structural optimization and is used for actual manufacturing.

[0008] Optionally, before obtaining an initial model with the same profile as the original sill beam, the method further includes: determining the maximum displacement and stiffness values ​​of the original sill beam under multiple working conditions, wherein the multiple working conditions include: Z-direction loading at the front seat cross beam, Z-direction loading at the rear seat cross beam, lateral Y-direction loading, battery mounting point Z-direction loading, and center plane Z-direction loading.

[0009] Optionally, the constraint response includes constraining the initial model using displacement constraints and volume fraction constraints under multiple working conditions, wherein the displacement constraints include: under the condition of -Z-direction loading at the front seat cross beam, the maximum displacement of the reconstructed model does not exceed the maximum displacement of the original sill beam; under the condition of -Z-direction loading at the rear seat cross beam, the maximum displacement of the reconstructed model does not exceed the maximum displacement of the original sill beam; under the condition of lateral -Y-direction loading, the maximum displacement of the reconstructed model does not exceed the maximum displacement of the original sill beam; under the condition of -Z-direction loading at the battery installation point, the maximum displacement of the reconstructed model does not exceed the maximum displacement of the original sill beam; under the condition of -Z-direction loading at the center plane, the maximum displacement of the reconstructed model does not exceed the maximum displacement of the original sill beam; the volume fraction constraint includes: the volume fraction of the initial model does not exceed a preset threshold, wherein the preset threshold is any value between 0 and 1.

[0010] Optionally, the design variables include processing a filling area within the initial model contour, including: determining an extrusion path of the initial model, wherein the extrusion path is used to ensure that the cross-section of the threshold beam after topology optimization remains consistent in the extrusion direction, the extrusion path is composed of a series of control points evenly distributed in the front and rear directions of the initial model, and the control points are used to guide the distribution of internal materials of the initial model during the extrusion process; and performing an extrusion operation on the filling area according to the extrusion path.

[0011] Optionally, the multi-objective function is determined in the following manner: determine the displacement transpose matrix, working condition load and flexibility weight coefficient of the initial model under multiple working conditions, wherein the displacement transpose matrix is ​​used to represent the displacement distribution of the initial model under multiple working conditions, the working condition load is used to represent the external force borne by the initial model under multiple working conditions, and the flexibility weight coefficient is used to represent the importance of multiple working conditions in the multi-objective function; determine the flexibility objective function based on the displacement transpose matrix and the working condition load; determine the multi-objective function based on the flexibility objective function and the flexibility weight coefficient.

[0012] Optionally, the flexibility objective function is positively correlated with the maximum displacement of the initial model and negatively correlated with the stiffness value of the initial model.

[0013] Optionally, after geometrically reconstructing the topology optimization model to obtain a reconstructed model of the threshold beam, the method further includes: determining a first mass of the original threshold beam, and determining a second mass of the reconstructed model; and determining a weight reduction ratio of the reconstructed model based on the first mass and the second mass.

[0014] Optionally, after geometrically reconstructing the topology optimization model to obtain a reconstructed model of the threshold beam, the method further includes: obtaining stiffness values ​​of the original threshold beam under multiple working conditions, and determining target stiffness values ​​of the reconstructed model under multiple working conditions; and determining a stiffness improvement ratio of the reconstructed model based on the stiffness value and the target stiffness value.

[0015] According to another aspect of an embodiment of the present application, a structural optimization device for a threshold beam is also provided, including: an acquisition module, used to acquire an initial model with the same profile as the original threshold beam; an optimization module, used to perform topological optimization processing on the initial model to obtain a topological optimization model, wherein the topological optimization processing includes design variables, constraint responses and target responses, the design variables include processing the filling area within the initial model profile, the constraint responses include constraining the initial model using displacement constraints and volume fraction constraints under multiple working conditions, and the target response includes optimizing the initial model using a multi-objective function, and the multi-objective function takes weighted flexibility minimization under multiple working conditions as a goal; a reconstruction module, used to perform geometric reconstruction processing on the topological optimization model to obtain a reconstructed model, wherein the reconstructed model is a geometric model that includes the threshold beam design after structural optimization and is used for actual manufacturing.

[0016] According to another aspect of the embodiments of the present application, there is also provided an electronic device, including: a memory and a processor, wherein the memory is used to store program instructions; the processor is connected to the memory and is used to execute the structural optimization method for implementing the above-mentioned threshold beam.

[0017] According to another aspect of the embodiments of the present application, a non-volatile storage medium is provided, the non-volatile storage medium includes a stored computer program, wherein the device where the non-volatile storage medium is located executes the above-mentioned method for optimizing the structure of the threshold beam by running the computer program.

[0018] According to another aspect of the embodiments of the present application, a computer program product is provided, including computer instructions, which implement the above-mentioned method for optimizing the structure of the threshold beam when the computer instructions are executed by a processor.

[0019] In an embodiment of the present application, an initial model identical to the original sill beam profile is obtained; topology optimization is performed on the initial model to obtain a topology optimization model, wherein the topology optimization includes design variables, constraint responses and target responses, the design variables include processing the fill area within the initial model profile, the constraint responses include constraining the initial model using displacement constraints and volume fraction constraints under multiple working conditions, and the target response includes optimizing the initial model using a multi-objective function, wherein the multi-objective function takes weighted flexibility minimization under multiple working conditions as a goal; geometric reconstruction is performed on the topology optimization model to obtain a reconstructed model, wherein the reconstructed model includes a sill beam design after structural optimization and is a geometric model for actual manufacturing, thereby achieving the purpose of ensuring that the sill beam structure can meet the requirements of lightweight while maximizing stiffness based on the topology optimization scheme and the multi-working condition constraint strategy, thereby achieving the technical effect of improving the overall safety performance and lightweight level of the vehicle, thereby solving the technical problem that the sill beam structural design in the related art is mostly optimized for a single working condition and cannot meet the requirements of lightweight and maximum stiffness under multiple working conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0021] Figure 1 is a hardware structure diagram of a computer terminal for implementing a method for optimizing the structure of a threshold beam according to an embodiment of the present application;

[0022] Figure 2 is a flow chart of a method for optimizing the structure of a threshold beam according to an embodiment of the present application;

[0023] Figure 3 is a cross-sectional view of an initial model according to an embodiment of the present application;

[0024] Figure 4 is a schematic diagram of a topology optimization model according to an embodiment of the present application;

[0025] Figure 5 is a schematic diagram of a reconstruction model according to an embodiment of the present application;

[0026] Figure 6a It is the constraint and load of the original threshold beam under the working condition according to the embodiment of the present application;

[0027] Figure 6b is the constraint and load of the original threshold beam under working condition 2 according to the embodiment of the present application;

[0028] Figure 6c It is the constraint and load of the original threshold beam under working condition three according to the embodiment of the present application;

[0029] Figure 6d is the constraint and load of the original threshold beam under working condition 4 according to the embodiment of the present application;

[0030] Figure 6e is the constraint and load of the original threshold beam under working condition 5 according to the embodiment of the present application;

[0031] Figure 7a is a displacement cloud diagram of the original threshold beam under the working condition according to the embodiment of the present application;

[0032] Figure 7b is a displacement cloud diagram of the original threshold beam under working condition 2 according to an embodiment of the present application;

[0033] Figure 7c is a displacement cloud diagram of the original threshold beam under working condition 3 according to an embodiment of the present application;

[0034] Figure 7d is a displacement cloud diagram of the original threshold beam under working condition 4 according to an embodiment of the present application;

[0035] Figure 7e is a displacement cloud diagram of the original threshold beam under working condition 5 according to an embodiment of the present application;

[0036] Figure 8a is a displacement cloud diagram of the reconstructed model under the working condition according to the embodiment of the present application;

[0037] Figure 8b is a displacement cloud diagram of the reconstructed model under working condition 2 according to an embodiment of the present application;

[0038] Figure 8c is a displacement cloud diagram of the reconstructed model under working condition three according to an embodiment of the present application;

[0039] Figure 8d is a displacement cloud diagram of the reconstructed model under working condition 4 according to an embodiment of the present application;

[0040] Figure 8eis a displacement cloud diagram of the reconstructed model under working condition 5 according to an embodiment of the present application;

[0041] Fig. 9 It is a structural diagram of a structure optimization device for a threshold beam according to an embodiment of the present application. DETAILED DESCRIPTION

[0042] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0043] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0044] First, some nouns or terms that appear in the process of explaining the embodiments of the present application are subject to the following explanations:

[0045] CAE (Computer-Aided Engineering): A method of simulating, analyzing and optimizing product design using computer software. In this application, CAE is used to calculate the mechanical properties of the threshold beam, such as maximum displacement and stiffness, under different working conditions.

[0046] Weighted flexibility: In structural optimization, flexibility is usually relative to the stiffness of the structure and indicates the degree of response of the structure to the load. Weighted flexibility is the sum of the product of flexibility and weight coefficient, which is used to balance the performance requirements under different working conditions in multi-objective optimization.

[0047] Shell element: A type of element used to simulate thin shell structures in finite element analysis. It can accurately reflect the bending and shear behavior of the shell structure while simplifying the calculation.

[0048] Solid element: It is used to simulate three-dimensional solid structures in finite element analysis and can capture the stress distribution inside the structure.

[0049] In order to solve the problem of poor optimization effect of the threshold beam in the related art, the present application embodiment provides a structure optimization method of the threshold beam, which can be run on Figure 1 In the computer terminal shown, the computer terminal is described below.

[0050] The structural optimization method embodiment of the threshold beam provided in the embodiment of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Figure 1 FIG. 1 shows a hardware structure block diagram of a computer terminal for implementing a method for optimizing the structure of a threshold beam. Figure 1 As shown, the computer terminal 10 may include one or more (102a, 102b, ..., 102n are used to illustrate) processors (the processor may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 104 for storing data, and a transmission module 106 for communication functions connected via a wired and / or wireless network. In addition, it may also include: a display, a keyboard, a cursor control device, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the I / O interface), a network interface, and a BUS bus. Those skilled in the art will understand that Figure 1 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown.

[0051] It should be noted that the one or more processors and / or other data processing circuits described above may generally be referred to herein as "data processing circuits". The data processing circuits may be embodied in whole or in part as software, hardware, firmware, or any other combination thereof. In addition, the data processing circuit may be a single independent processing module, or may be incorporated in whole or in part into any of the other components in the computer terminal 10. As described in the embodiments of the present application, the data processing circuit acts as a processor control (e.g., selection of a variable resistor terminal path connected to an interface).

[0052] The memory 104 can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the structural optimization method of the threshold beam in the embodiment of the present application. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory 104, that is, the structural optimization method of the threshold beam described above is realized. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor, and these remote memories may be connected to the computer terminal 10 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0053] The transmission module 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the computer terminal 10. In one example, the transmission module 106 includes a network adapter (Network Interface Controller, NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission module 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0054] The display may be, for example, a touch screen liquid crystal display (LCD) that enables a user to interact with a user interface of the computer terminal 10 .

[0055] It should be noted that, in some optional embodiments, the above Figure 1 The computer terminal shown may include hardware elements (including circuits), software elements (including computer code stored on a computer-readable medium), or a combination of both hardware elements and software elements. Figure 1 This is merely one example of a particular embodiment and is intended to illustrate the types of components that may be present in the computer terminal described above.

[0056] In the above operating environment, an embodiment of the present application provides an embodiment of a method for structural optimization of a threshold beam. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0057] Figure 2 is a flow chart of a method for optimizing the structure of a threshold beam according to an embodiment of the present application. Figure 2As shown, the method comprises the following steps:

[0058] Step S202, obtaining an initial model having the same profile as the original threshold beam.

[0059] In the above step S202, the main purpose is to create an initial model of the threshold beam conceptual design that is consistent with the original threshold beam contour, that is, the initial model, as the basis for subsequent optimization analysis. In the specific operation, first, according to the design boundary conditions, an initial model that matches the original threshold beam shape can be established, including setting the same wall thickness of 2mm, and all filling areas within the contour are filled with solid units to ensure that the model can fully reflect the structural characteristics of the original threshold beam. The cross-section of the initial model is shown in FIG. Figure 3 shown.

[0060] The original sill beam is a physical component that actually exists in automobile design, and has specific geometric shapes, material properties (such as aluminum alloy profiles), wall thickness and other design features. However, when performing structural optimization analysis, the original sill beam needs to be converted into a computer-processable original sill beam model, that is, a digital model created in computer-aided engineering (CAE) software, as a reference for model creation in step S202, so that the created initial model has the same profile and settings as the original sill beam, thereby ensuring that the initial model can accurately reflect the characteristics of the original structure during the optimization process.

[0061] It should be noted that the original sill beam model was modeled using shell elements. Shell elements are a type of finite element analysis element for thin plates or shell structures. They are mainly used to simulate structural parts with thin surfaces and thicknesses that are much smaller than their lengths and widths. They can simulate the bending, shear, and membrane stresses of plate and shell structures very well, and are suitable for analyzing the mechanical behavior of thin-walled structures such as vehicle sill beams. The initial sill beam was modeled using solid elements. Solid elements are finite element elements that simulate three-dimensional volumes. They can fully capture the stress and strain distribution inside the material and are suitable for analyzing entities with complex internal structures. Compared with the shell elements in the original sill beam model, the solid elements in the initial model provide a more comprehensive material response analysis.

[0062] Step S204, topology optimization is performed on the initial model to obtain a topology optimization model, wherein the topology optimization process includes design variables, constraint responses and target responses, the design variables include processing the filling area within the initial model contour, the constraint responses include constraining the initial model using displacement constraints and volume fraction constraints under multiple working conditions, and the target response includes optimizing the initial model using a multi-objective function, and the multi-objective function takes weighted flexibility minimization under multiple working conditions as a goal.

[0063] In the above step S204, the topology optimization scheme is mainly used to perform topology optimization on the initial model to meet the displacement constraints and overall integral score constraints under multiple working conditions. At the same time, a multi-objective optimization method is used to pursue the goal of minimizing weighted flexibility to obtain a topology optimization model with better performance, such as Figure 4 As shown in the figure, the internal material distribution of the sill beam after topology optimization is intuitively displayed in the form of color coding. Among them, the topology optimization scheme includes three elements: design variables, constraints, and target response. Specifically:

[0064] Design variables refer to parameters that can be changed during the optimization process. For the initial model, the design variables can include the material distribution of all filled areas inside the model contour. This means that during the topology optimization process, the presence or absence of material in these areas can be adjusted to explore different structural forms and find the best material distribution method.

[0065] Constraint response is a restriction in topology optimization analysis, which ensures that the optimized structure meets specific safety and functional requirements. In this step, the constraint response includes displacement constraint and volume fraction constraint. The displacement constraint is to ensure that the maximum displacement of the topology optimized model under multiple preset working conditions does not exceed the maximum displacement of the original threshold beam. The volume fraction constraint is to ensure that the volume fraction (i.e. the ratio of material volume to total area) of the model after topology optimization is not greater than a certain value to achieve the goal of lightweighting the threshold beam. By limiting the volume fraction, the weight of the optimization result can be controlled to ensure that the stiffness and strength of the structure meet the requirements while reducing the weight.

[0066] The target response is mainly achieved by adjusting the design variables to achieve the best result. In this application, a multi-objective optimization method is used, that is, the flexibility corresponding to multiple analysis conditions is considered simultaneously, and the flexibility under multiple analysis conditions is weighted, with the goal of minimizing the weighted flexibility. Among them, flexibility is a measure of structural flexibility, which is usually inversely proportional to the stiffness of the structure; weighted flexibility minimization means comprehensively considering the flexibility of the structure (that is, the response of displacement to load) under multiple conditions, and by setting the flexibility weight coefficient of each condition, finding the structural design with the best stiffness performance and meeting the lightweight requirements under all conditions, so that the optimized threshold beam structure can achieve ideal stiffness and displacement control under all preset conditions.

[0067] Step S206 , geometrically reconstructing the topology optimization model to obtain a reconstructed model, wherein the reconstructed model includes the design of the sill beam after structural optimization and is a geometric model used for actual manufacturing.

[0068] In the above step S206, the topology optimization model may present a complex shape and irregular material distribution. This is the optimal structure based on the optimization algorithm and multi-objective functions (such as weighted compliance minimization), but it may face processability problems in actual manufacturing. Therefore, it is necessary to perform subsequent geometric reconstruction of the topology optimization model to ensure the manufacturability of the model. For example, the outer contour wall thickness of the topology optimization model is set to 2mm, the rib wall thickness is 2.2mm and 1.5mm, and the overall mass is controlled to 7.0kg, so as to obtain a reconstructed model, such as Figure 5 shown.

[0069] This design not only follows the optimized material distribution, but also fully considers the actual manufacturing process limitations, ensuring the optimal performance of the threshold beam under various working conditions, while achieving significant weight reduction, providing strong support for the structural optimization and safety improvement of new energy vehicles.

[0070] Through the above steps S202 to S206, the purpose of ensuring that the sill beam structure can meet the requirements of lightweight and maximize stiffness is achieved based on the topology optimization scheme and the multi-operating condition constraint strategy, thereby achieving the technical effect of improving the overall safety performance and lightweight level of the vehicle, and further solving the technical problem that the sill beam structural design in the related art is mostly optimized for a single operating condition and cannot meet the requirements of lightweight and maximum stiffness under multiple operating conditions. The following is a detailed description.

[0071] Optionally, before obtaining the initial model with the same profile as the original sill beam, it also includes determining the maximum displacement and stiffness values ​​of the original sill beam under multiple working conditions, wherein the multiple working conditions include: front seat cross beam-Z direction loading, rear seat cross beam-Z direction loading, lateral-Y direction loading, battery installation point-Z direction loading, center plane-Z direction loading.

[0072] In the embodiment of the present application, for multiple working conditions, the 6 degrees of freedom (movement and rotation along the three directions of X, Y, and Z) at both ends of the sill beam are fully constrained, which means that in the analysis, the sill beam is fixed at both ends and is not allowed to move or rotate in any direction to simulate the actual working conditions of being fixedly installed in the vehicle structure. The settings for each working condition are as follows: Figure 6a-6e As shown, the details are as follows:

[0073] Working condition 1: If Figure 6a As shown, a load of F1 = 500N is applied along the -Z direction at the connection between the sill beam and the front seat cross beam to simulate the vertical load of the front seat on the sill beam during a collision or emergency braking.

[0074] Working condition 2: If Figure 6bAs shown, a load of F2 = 500N is applied along the -Z direction at the connection between the door sill beam and the rear seat cross beam to measure the load influence of the rear seats on the vertical direction of the door sill beam.

[0075] Working condition three: Figure 6c As shown, a load of F3 = 1000N is applied along the -Y direction on the outside of the sill beam to simulate the lateral load bearing capacity of the sill beam during a side collision. Usually, such working conditions are directly related to the side protection performance of the vehicle.

[0076] Working condition 4: If Figure 6d As shown, a load of F4 = 1000N is applied along the -Z direction at the battery installation point, taking into account the protection of the battery area. This is used to measure the performance of the sill beam when it is subjected to a large vertical load. Especially for new energy vehicles, battery safety is a key consideration in the design.

[0077] Working condition 5: If Figure 6e As shown, a load of F5 = 500N is applied along the -Z direction at the center of the upper surface of the sill beam, which is used to measure the performance of the sill beam when it is subjected to a vertical load at the center position, and may reflect the stress condition of the sill beam when the vehicle is driving on an uneven road.

[0078] After completing the working condition setting, CAE calculation is performed on the original threshold beam to obtain the displacement cloud diagram of the original threshold beam under the above five working conditions, such as Figure 7a-7e As shown in the figure, the deformation of the original threshold beam under five working conditions and the maximum displacement U i0max The node location where the event occurs. For example, Figure 7a In the figure, under the condition of working condition 1, the maximum deformation displacement of the threshold beam structure is 0.049 mm, that is, Static Max.Value = 0.049, and the corresponding node position is 21038.

[0079] Finally, according to the load F i and maximum displacement U i0max The ratio of can be used to obtain the stiffness value K of the original threshold beam. imax , that is, K imax =F i / U i0max , the value of i is 1 to 5.

[0080] In the embodiment of the present application, the corresponding relationship between the maximum displacement, maximum stiffness and nodes of the original threshold beam under five working conditions is shown in Table 1:

[0081] Table 1 Maximum displacement and stiffness of the original threshold beam under multiple working conditions

[0082]

[0083] In the embodiment of the present application, the stiffness of the sill beam represents the ability of the sill beam to resist deformation. The larger the stiffness value, the smaller the displacement of the sill beam under the same load, thereby better protecting the vehicle structure from damage.

[0084] In the above step S204, the design variables include processing the filling area within the initial model contour, including: determining an extrusion path of the initial model, wherein the extrusion path is used to ensure that the cross section of the threshold beam after topology optimization remains consistent in the extrusion direction, and the extrusion path is composed of a series of control points evenly distributed in the front and rear directions of the initial model, and the control points are used to guide the distribution of the internal material of the initial model during the extrusion process; and performing an extrusion operation on the filling area according to the extrusion path.

[0085] In the embodiment of the present application, the design variables mainly include processing all the filling areas within the initial model outline of the conceptual design of the sill beam, and setting an extrusion path in the front-to-back direction to ensure that the cross-section of the sill beam after topology optimization remains consistent in the extrusion direction.

[0086] Specifically, the determination of design variables first involves all the filling areas within the initial model contour. The filling areas refer to the areas filled with solid units in the initial model. They are the variable parts in the optimization process and can be increased, reduced or redistributed to achieve the goals of lightweight and maximum stiffness. In the optimization process, setting the extrusion path along the front and rear directions of the sill beam is a key operation step. Its purpose is to ensure that the cross-section of the optimized model in the extrusion direction remains consistent, so as to meet the requirements of the profile manufacturing process. Among them, the extrusion path is composed of a series of control points evenly distributed in the front and rear directions of the initial model. These control points are used to guide the distribution of the internal material of the filling area. The control points help to avoid possible non-uniformity in the optimization results and ensure that the shape of the cross section and the material distribution are always consistent when viewed from the extrusion direction. That is, no matter how the topology optimization adjusts the internal material distribution, the cross-sectional shape of the final optimized result can be achieved by the extrusion die.

[0087] Furthermore, when the initial model is constrained by displacement constraints and volume fraction constraints under multiple working conditions, the displacement constraints may include: under the condition of -Z-direction loading at the front seat cross beam, the maximum displacement of the reconstructed model does not exceed the maximum displacement of the original sill beam; under the condition of -Z-direction loading at the rear seat cross beam, the maximum displacement of the reconstructed model does not exceed the maximum displacement of the original sill beam; under the condition of lateral -Y-direction loading, the maximum displacement of the reconstructed model does not exceed the maximum displacement of the original sill beam; under the condition of -Z-direction loading at the battery installation point, the maximum displacement of the reconstructed model does not exceed the maximum displacement of the original sill beam; under the condition of -Z-direction loading at the center plane, the maximum displacement of the reconstructed model does not exceed the maximum displacement of the original sill beam; the volume fraction constraint includes: the volume fraction of the reconstructed model does not exceed a preset threshold, where the preset threshold is any value between 0 and 1.

[0088] In the embodiment of the present application, the displacement constraint is set to ensure that the optimized threshold beam (here refers to the reconstructed model finally obtained after geometric reconstruction of the topological optimization model after optimization of the initial model) can meet the specific maximum displacement limit under various analysis conditions, thereby ensuring the stiffness of the threshold beam and the stability of the overall structure.

[0089] The specific constraints are set as follows:

[0090] Condition 1: The maximum displacement of the reconstructed model should not exceed the maximum displacement of the original threshold beam, which is 0.049 mm;

[0091] Working condition 2: The maximum displacement of the reconstructed model should not exceed the maximum displacement of the original threshold beam, which is 0.051 mm;

[0092] Condition 3: The maximum displacement of the reconstructed model should not exceed the maximum displacement of the original threshold beam, which is 0.065 mm;

[0093] Condition 4: The maximum displacement of the reconstructed model should not exceed the maximum displacement of the original threshold beam, which is 0.124 mm;

[0094] Working condition 5: The maximum displacement of the reconstructed model should not exceed the maximum displacement of the original threshold beam, which is 0.069 mm.

[0095] The setting of the above displacement constraints is based on the performance indicators of the sill beam under the original working conditions, which can ensure that the optimized model maintains or exceeds the stiffness performance of the original sill beam under the same or similar load conditions, thereby meeting the safety performance requirements of the automobile sill beam.

[0096] The specific volume fraction constraint is: the volume fraction of the initial model is set to be no greater than a preset threshold (such as 0.1), so that the optimized model distributes the material within 10% of the volume of the initial model, thereby ensuring that the weight of the optimized sill beam does not exceed 7.6 kg of the original sill beam.

[0097] It should be noted that the preset threshold of the volume fraction constraint can be any value between 0 and 1. Designers can adjust the upper limit of the volume fraction according to different design goals and working conditions to achieve the best balance between lightweight and performance. This setting range ensures that the design can not only reduce weight by reducing the amount of material used, but also maintain the necessary stiffness and strength under different working conditions, while meeting the limitations of the manufacturing process, thereby achieving the dual goals of performance optimization and cost control.

[0098] The combined use of displacement constraints and volume fraction constraints reflects the multi-objective optimization strategy in structural optimization design. Under the premise of ensuring structural stiffness and safety (through displacement constraints) and pursuing lightweight (through volume fraction constraints), this strategy finds the best point between balancing structural performance and manufacturing costs. By accurately setting displacement constraints, designers can control the deformation of the structure under different loads to avoid excessive displacement that poses a threat to vehicle structural safety and passenger safety. At the same time, by limiting the volume fraction, designers can reduce the amount of material used and achieve weight control, which is crucial to improving the energy efficiency and endurance of new energy vehicles.

[0099] Furthermore, a multi-objective function can be used to optimize the initial model, wherein the multi-objective function aims to minimize the weighted flexibility under multiple working conditions and can be determined in the following manner: determine the displacement transpose matrix, working condition load and flexibility weight coefficient of the initial model under multiple working conditions, wherein the displacement transpose matrix is ​​used to represent the displacement distribution of the initial model under multiple working conditions, the working condition load is used to represent the external force borne by the initial model under multiple working conditions, and the flexibility weight coefficient is used to represent the importance of multiple working conditions in the multi-objective function; determine the flexibility objective function based on the displacement transpose matrix and the working condition load; determine the multi-objective function based on the flexibility objective function and the flexibility weight coefficient.

[0100] In the embodiment of the present application, the expression of the multi-objective function is as follows:

[0101]

[0102] Among them, C W W represents weighted flexibility; i Indicates the flexibility weight coefficient of multiple working conditions; C i represents the flexibility objective function; represents the displacement transposed matrix; f i Indicates the load condition.

[0103] It should be noted that the flexibility weight coefficient W i It is used to quantify the contribution of displacement (flexibility) under various working conditions to the overall goal (minimization of weighted flexibility). Its value is between 0 and 1, and the sum of the flexibility weight coefficients of all working conditions is equal to 1, that is, According to the importance of the five working conditions, they can be set as W1=0.143, W2=0.143, W3=0.286, W4=0.286, and W5=0.143.

[0104] Optionally, the flexibility objective function is positively correlated with the maximum displacement of the initial model and negatively correlated with the stiffness value of the initial model.

[0105] In the embodiment of the present application, the flexibility objective function C i The correlation with the initial model reflects the dual consideration of displacement control and stiffness improvement in structural optimization design.

[0106] Specifically, the positive correlation between the flexibility objective function and the maximum displacement means that if the maximum displacement of the structure under a certain working condition increases, the value of its flexibility objective function will also increase accordingly. This setting is to control the deformation of the structure during the optimization process to ensure that the structure does not produce excessive displacement under the load, thereby maintaining the stability and safety of the structure. The negative correlation between the flexibility objective function and the stiffness value means that the higher the stiffness value, the smaller the value of the flexibility objective function, and vice versa. The purpose of this setting is to pursue high stiffness in the design, because high stiffness means that the structure deforms less under load, can more effectively resist external forces, and provide better safety and driving performance.

[0107] In the above step S206, after the topology optimization model is geometrically reconstructed to obtain the reconstructed model of the threshold beam, the method further includes: determining the first mass of the original threshold beam, and determining the second mass of the reconstructed model; determining the weight reduction ratio of the reconstructed model based on the first mass and the second mass; and obtaining the stiffness values ​​of the original threshold beam under multiple working conditions, and determining the target stiffness values ​​of the reconstructed model under multiple working conditions; and determining the stiffness improvement ratio of the reconstructed model based on the stiffness value and the target stiffness value.

[0108] In the embodiment of the present application, CAE calculation is performed on the reconstructed model to obtain the displacement cloud diagram of the reconstructed model under five working conditions, such as Figure 8a-8e As shown in Figure 2, the deformation of the reconstructed model under five working conditions and the maximum displacement U i1max The node location where the event occurs. For example, Figure 8a In the reconstructed model, under working condition 1, the maximum deformation displacement of the threshold beam structure is 0.048 mm, that is, Static Max.Value = 0.048, and the corresponding node position is 80355.

[0109] Furthermore, according to the load F i and maximum displacement U i1max The reconstructed target stiffness value K can be obtained by the ratio of i1max , that is, K i1max =Fi / U i1max , the value of i is 1 to 5.

[0110] In the embodiment of the present application, the corresponding relationship between the maximum displacement, maximum stiffness and nodes of the reconstructed model under five working conditions is shown in Table 2:

[0111] Table 2 Maximum displacement and stiffness values ​​of the reconstructed model under multiple working conditions

[0112]

[0113] The weight reduction ratio of the reconstructed model can be calculated using the following formula:

[0114]

[0115] Wherein, δ represents the weight reduction ratio of the reconstructed model, m1 represents the second mass, that is, the mass of the reconstructed model (7.0 kg), and m0 represents the first mass, that is, the mass of the original threshold beam (7.6 kg).

[0116] The stiffness improvement ratio of the reconstructed model can be calculated using the following formula:

[0117]

[0118] Where η i represents the stiffness improvement ratio of the reconstructed model, K i0max Indicates the stiffness value of the original threshold beam, K i1max Represents the target stiffness value of the reconstructed model.

[0119] In the embodiment of the present application, the weight reduction ratio of the reconstructed model and the stiffness improvement ratio under multiple working conditions are shown in Table 3:

[0120] Table 3 Weight reduction ratio of the reconstructed model and stiffness improvement ratio under different working conditions

[0121]

[0122] The above results show that by implementing multi-condition constraints and multi-objective optimization methods, the sill beam can achieve a lightweight effect of nearly 8% while maintaining or improving its stiffness performance under different conditions, which is a significant optimization achievement in automobile structural design.

[0123] In the embodiment of the present application, by comprehensively considering the performance requirements of the automobile threshold beam under various actual working conditions, a dual breakthrough in lightweight and structural stiffness optimization is achieved. Specifically, the original structure of the threshold beam is accurately modeled by shell elements, and the conceptual design initial model is established using solid elements. It not only accurately evaluates the mechanical behavior of the original structure, but also effectively guides the redistribution of materials and geometry, ensuring the displacement constraints and stiffness performance of the optimized threshold beam under different loading conditions. Subsequently, through a multi-objective optimization strategy, namely weighted flexibility minimization, combined with the displacement constraints and volume fraction constraints of the working condition importance distribution, the performance shortcomings in the traditional single-objective optimization method are solved, and a significant improvement in the overall structural performance is achieved. Finally, through geometric reconstruction processing, the reconstructed model achieves effective lightweighting while maintaining or improving the stiffness of multiple working conditions, which not only improves the energy efficiency and endurance of the vehicle, but also ensures the safety performance under complex working conditions, providing an efficient, comprehensive and practical new method for the structural optimization design of new energy vehicles.

[0124] According to an embodiment of the present application, a structure optimization device for a threshold beam is provided. It should be noted that the structure optimization device for a threshold beam of the embodiment of the present application can be used to execute the structure optimization method for a threshold beam provided in the embodiment of the present application. The structure optimization device for a threshold beam provided in the embodiment of the present application is introduced below.

[0125] Fig. 9 is a structural diagram of a structure optimization device for a threshold beam provided according to an embodiment of the present application. Fig. 9 As shown, the device comprises:

[0126] An acquisition module 90 is used to acquire an initial model that is identical to the original sill beam profile;

[0127] The optimization module 92 is used to perform topology optimization processing on the initial model to obtain a topology optimization model, wherein the topology optimization processing includes design variables, constraint responses and target responses, the design variables include processing the filling area within the initial model contour, the constraint responses include constraining the initial model using displacement constraints and volume fraction constraints under multiple working conditions, and the target response includes optimizing the initial model using a multi-objective function, and the multi-objective function takes weighted compliance minimization under multiple working conditions as a target;

[0128] The reconstruction module 94 is used to perform geometric reconstruction processing on the topology optimization model to obtain a reconstructed model, wherein the reconstructed model includes the design of the threshold beam after structural optimization and is a geometric model for actual manufacturing.

[0129] Through the acquisition module 90, optimization module 92 and reconstruction module 94 in the structural optimization device of the above-mentioned threshold beam, the purpose of ensuring that the threshold beam structure can meet the lightweight requirements while ensuring the maximum stiffness is achieved based on the topological optimization scheme and the multi-operating condition constraint strategy, thereby achieving the technical effect of improving the overall safety performance and lightweight level of the vehicle, and further solving the technical problem that the threshold beam structural design in related technologies is mostly optimized for a single operating condition and cannot meet the lightweight requirements and the maximum stiffness requirements under multiple operating conditions.

[0130] In the structural optimization device of the sill beam provided in the embodiment of the present application, the optimization module is also used to constrain the initial model using displacement constraints and volume fraction constraints under multiple working conditions, wherein the displacement constraints include: under the working condition of -Z-direction loading at the front seat cross beam, the maximum displacement of the reconstructed model does not exceed the maximum displacement of the original sill beam; under the working condition of -Z-direction loading at the rear seat cross beam, the maximum displacement of the reconstructed model does not exceed the maximum displacement of the original sill beam; under the working condition of lateral -Y-direction loading, the maximum displacement of the reconstructed model does not exceed the maximum displacement of the original sill beam; under the working condition of -Z-direction loading at the battery installation point, the maximum displacement of the reconstructed model does not exceed the maximum displacement of the original sill beam; under the working condition of -Z-direction loading at the center plane, the maximum displacement of the reconstructed model does not exceed the maximum displacement of the original sill beam; the volume fraction constraints include: the volume fraction of the initial model does not exceed a preset threshold, wherein the preset threshold is any value between 0 and 1.

[0131] In the structural optimization device for the threshold beam provided in an embodiment of the present application, the optimization module is also used to determine the extrusion path of the initial model, wherein the extrusion path is used to ensure that the cross-section of the threshold beam after topological optimization remains consistent in the extrusion direction, and the extrusion path is composed of a series of control points evenly distributed in the front and rear directions of the initial model, and the control points are used to guide the distribution of the internal material of the initial model during the extrusion process; the filling area is extruded according to the extrusion path.

[0132] The structural optimization device of the threshold beam provided in the embodiment of the present application also includes a determination module 96, which is used to determine the maximum displacement and stiffness value of the original threshold beam under multiple working conditions, wherein the multiple working conditions include: front seat cross beam-Z direction loading, rear seat cross beam-Z direction loading, lateral-Y direction loading, battery installation point-Z direction loading, center plane-Z direction loading.

[0133] In the structural optimization device of the threshold beam provided in the embodiment of the present application, the determination module is also used to determine the displacement transpose matrix, working condition load and flexibility weight coefficient of the initial model under multiple working conditions, wherein the displacement transpose matrix is ​​used to represent the displacement distribution of the initial model under multiple working conditions, the working condition load is used to represent the external force borne by the initial model under multiple working conditions, and the flexibility weight coefficient is used to represent the importance of multiple working conditions in the multi-objective function; the flexibility objective function is determined based on the displacement transpose matrix and the working condition load; the multi-objective function is determined based on the flexibility objective function and the flexibility weight coefficient.

[0134] In the structural optimization device for the sill beam provided in an embodiment of the present application, the determination module is also used to determine the first mass of the original sill beam and the second mass of the reconstructed model; and the weight reduction ratio of the reconstructed model is determined based on the first mass and the second mass.

[0135] In the structural optimization device for the threshold beam provided in the embodiment of the present application, the determination module is also used to obtain the stiffness value of the original threshold beam under multiple working conditions, and to determine the target stiffness value of the reconstructed model under multiple working conditions; and to determine the stiffness improvement ratio of the reconstructed model based on the stiffness value and the target stiffness value.

[0136] An embodiment of the present application further provides an electronic device, including: a memory and a processor, wherein the memory is used to store program instructions; the processor is connected to the memory and is used to execute the structural optimization method for the threshold beam.

[0137] It should be noted that the above electronic equipment is used to execute Figure 2 The structural optimization method of the threshold beam shown in the figure, therefore the relevant explanations and instructions in the above-mentioned structural optimization method of the threshold beam are also applicable to the electronic device, and will not be repeated here.

[0138] An embodiment of the present application further provides a non-volatile storage medium, which includes a stored computer program, wherein a device where the non-volatile storage medium is located executes the above-mentioned method for optimizing the structure of the threshold beam by running the computer program.

[0139] It should be noted that the above non-volatile storage medium is used to execute Figure 2 The structural optimization method of the threshold beam is shown, so the relevant explanations in the above-mentioned structural optimization method of the threshold beam are also applicable to the non-volatile storage medium, and will not be repeated here.

[0140] The embodiment of the present application further provides a computer program product, including computer instructions, which implement the structural optimization method of the threshold beam when executed by a processor.

[0141] It should be noted that the above-mentioned computer program product is used to execute Figure 2The structural optimization method of the threshold beam shown in the figure, therefore the relevant explanations in the structural optimization method of the threshold beam mentioned above are also applicable to the computer program product, which will not be repeated here.

[0142] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0143] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0144] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0145] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0146] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0147] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk, etc., which can store program code.

[0148] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for optimizing the structure of a threshold beam, characterized in that: include: Get an initial model with the same profile as the original sill beam; Performing topology optimization processing on the initial model to obtain a topology optimization model, wherein the topology optimization processing includes design variables, constraint responses and target responses, the design variables include processing a filling area within the initial model contour, the constraint responses include constraining the initial model using displacement constraints and volume fraction constraints under multiple working conditions, and the target response includes optimizing the initial model using a multi-objective function, and the multi-objective function takes minimization of weighted compliance under the multiple working conditions as a target; The topology optimization model is geometrically reconstructed to obtain a reconstructed model, wherein the reconstructed model includes a sill beam design after structural optimization and is a geometric model for actual manufacturing.

2. The method according to claim 1, characterized in that Before obtaining the initial model identical to the original sill beam profile, the method further includes: Determine the maximum displacement and stiffness value of the original sill beam under the multiple working conditions, wherein the multiple working conditions include: front seat cross beam-Z direction loading, rear seat cross beam-Z direction loading, lateral-Y direction loading, battery installation point-Z direction loading, center plane-Z direction loading.

3. The method according to claim 2, characterized in that The constraint response includes constraining the initial model using displacement constraints and volume fraction constraints under multiple working conditions, wherein: The displacement constraints include: under the condition of -Z-direction loading at the front seat cross beam, the maximum displacement of the reconstructed model does not exceed the maximum displacement of the original sill beam; under the condition of -Z-direction loading at the rear seat cross beam, the maximum displacement of the reconstructed model does not exceed the maximum displacement of the original sill beam; under the condition of -Y-direction loading at the lateral side, the maximum displacement of the reconstructed model does not exceed the maximum displacement of the original sill beam; under the condition of -Z-direction loading at the battery installation point, the maximum displacement of the reconstructed model does not exceed the maximum displacement of the original sill beam; under the condition of -Z-direction loading at the center plane, the maximum displacement of the reconstructed model does not exceed the maximum displacement of the original sill beam; The volume fraction constraint includes: the volume fraction of the initial model does not exceed a preset threshold, wherein the preset threshold is any value between 0 and 1.

4. The method according to claim 1, characterized in that: The design variables include processing the fill area within the initial model contour, including: Determine an extrusion path of the initial model, wherein the extrusion path is used to ensure that the cross section of the sill beam after topology optimization remains consistent in the extrusion direction, and the extrusion path is composed of a series of control points evenly distributed in the front-rear direction of the initial model, and the control points are used to guide the distribution of internal materials of the initial model during the extrusion process; An extrusion operation is performed on the filling area according to the extrusion path.

5. The method according to claim 1, characterized in that The multi-objective function is determined in the following way: Determine the displacement transpose matrix, working condition load and flexibility weight coefficient of the initial model under the multiple working conditions, wherein the displacement transpose matrix is ​​used to represent the displacement distribution of the initial model under the multiple working conditions, the working condition load is used to represent the external force borne by the initial model under the multiple working conditions, and the flexibility weight coefficient is used to represent the importance of the multiple working conditions in the multi-objective function; Determining a compliance objective function according to the displacement transposed matrix and the working load; The multi-objective function is determined according to the flexibility objective function and the flexibility weight coefficient.

6. The method according to claim 5, characterized in that The flexibility objective function is positively correlated with the maximum displacement of the initial model and negatively correlated with the stiffness value of the initial model.

7. The method according to claim 1, characterized in that After geometrically reconstructing the topology optimization model to obtain a reconstructed model of the threshold beam, the method further includes: determining a first mass of the original sill beam, and determining a second mass of the reconstructed model; A weight reduction ratio of the reconstructed model is determined according to the first mass and the second mass.

8. The method according to claim 1, characterized in that After geometrically reconstructing the topology optimization model to obtain a reconstructed model of the threshold beam, the method further includes: Acquiring stiffness values ​​of the original sill beam under the multiple working conditions, and determining target stiffness values ​​of the reconstructed model under the multiple working conditions; A stiffness improvement ratio of the reconstructed model is determined according to the stiffness value and the target stiffness value.

9. A structure optimization device for a threshold beam, characterized in that: include: An acquisition module, used for acquiring an initial model identical to the original sill beam profile; an optimization module, configured to perform topology optimization processing on the initial model to obtain a topology optimization model, wherein the topology optimization processing includes design variables, constraint responses and target responses, the design variables include processing a fill area within the initial model contour, the constraint responses include constraining the initial model using displacement constraints and volume fraction constraints under multiple working conditions, and the target response includes optimizing the initial model using a multi-objective function, wherein the multi-objective function takes weighted compliance minimization under the multiple working conditions as a target; A reconstruction module is used to perform geometric reconstruction processing on the topology optimization model to obtain a reconstructed model, wherein the reconstructed model includes a threshold beam design after structural optimization and is a geometric model for actual manufacturing.

10. An electronic device, characterized in that: include: A memory and a processor, wherein the memory is used to store program instructions; The processor is connected to the memory and is used to execute the structural optimization method of the sill beam according to any one of claims 1 to 7.

11. A non-volatile storage medium, characterized in that: The non-volatile storage medium includes a stored computer program, wherein the device where the non-volatile storage medium is located executes the method for optimizing the structure of the sill beam according to any one of claims 1 to 8 by running the computer program.

12. A computer program product comprising computer instructions, characterized in that: When the computer instructions are executed by a processor, the method for optimizing the structure of the sill beam according to any one of claims 1 to 8 is implemented.

Images