Wheel set design scheme generation method and device, equipment, storage medium and train

Abstract

The invention provides a wheel set design scheme generation method, which comprises the following steps: constructing a wheel set three-dimensional finite element model based on target wheel set basic parameters and pre-acquired wheel set characteristic parameters; based on the first grid size, performing first grid division on the wheel set three-dimensional finite element model to obtain a first grid model, performing simulation analysis on the first grid model, and outputting an initial simulation result; determining a target stress contribution area and a target noise contribution area in the wheel set three-dimensional finite element model based on the strength simulation result, the modal simulation result and the sound radiation simulation result; based on the second grid size, performing second grid division on the target stress contribution area and the target noise contribution area to obtain a second grid model, performing simulation analysis on the second grid model, and outputting a target simulation result; and generating a wheel set design scheme based on the target simulation result. The invention further provides a wheel set design scheme generation device and equipment, a storage medium and a rail train.

Description

Technical Field

[0001] The present disclosure relates to the field of rail transit technology, and more specifically, to a method, device, equipment, storage medium and rail train for generating a wheelset design scheme. Background Art

[0002] Wheel sets are one of the most important load-bearing components of rail vehicle bogies. Wheel-rail vibration and acoustic radiation are one of the main noise sources of rail vehicles. The reliability and noise reduction performance of the wheelset itself will directly affect the safety and quality of vehicle operation.

[0003] In the process of realizing the concept disclosed in the present invention, the inventors found that there are at least the following problems in the related art: in the related art, in order to obtain a lightweight wheelset design product that meets the requirements of strength, stiffness, and noise, designers usually need to spend a lot of time determining the appropriate wheelset profile and size. Therefore, the wheelset design efficiency is low, and the generated wheelset design scheme is difficult to meet the lightweight requirements of the wheelset while meeting the requirements of strength, stiffness, and noise. Summary of the invention

[0004] In view of this, the present disclosure provides a method, device, equipment, storage medium and rail train for generating a wheelset design scheme.

[0005] One aspect of the present disclosure provides a method for generating a wheelset design scheme, comprising: constructing a three-dimensional finite element model of the wheelset based on target wheelset basic parameters corresponding to a wheelset design task and pre-acquired wheelset characteristic parameters, wherein the target wheelset basic parameters are read from a pre-constructed wheelset basic parameter library; performing a first mesh division on the wheelset three-dimensional finite element model based on a first mesh size to obtain a first mesh model, performing simulation analysis on the first mesh model, and outputting initial simulation results, wherein the initial simulation results include strength simulation results, modal simulation results, and acoustic radiation simulation results; determining a target stress contribution area and a target noise contribution area in the wheelset three-dimensional finite element model based on the strength simulation results, the modal simulation results, and the acoustic radiation simulation results; performing a second mesh division on the target stress contribution area and the target noise contribution area based on a second mesh size to obtain a second mesh model, performing simulation analysis on the second mesh model, and outputting a target simulation result, wherein the second mesh size is smaller than the first mesh size; generating a wheelset design scheme based on the target simulation results.

[0006] According to an embodiment of the present disclosure, generating a wheelset design scheme based on target simulation results includes: determining an optimizable structure of the wheelset; obtaining parameters to be optimized corresponding to the optimizable structure of the wheelset; based on the parameters to be optimized, determining the wheelset optimization parameters using a multi-objective genetic algorithm; and generating a wheelset design scheme based on the wheelset optimization parameters.

[0007] According to an embodiment of the present disclosure, based on the parameters to be optimized, determining the wheelset optimization parameters using a multi-objective genetic algorithm includes: establishing an objective function based on the wheelset mass and modal frequency; establishing constraints based on the fatigue strength curve; based on the objective function and the constraints, optimizing the parameters to be optimized using a multi-objective genetic algorithm, and outputting the wheelset optimization parameters.

[0008] According to an embodiment of the present disclosure, generating a wheelset design scheme based on wheelset optimization parameters includes: reading target damping information matching the wheelset optimization parameters from a pre-built damping information library; and generating a wheelset design scheme based on the wheelset optimization parameters and the target damping information.

[0009] According to an embodiment of the present disclosure, the above-mentioned wheelset design scheme generation method also includes: obtaining at least one set of historical wheelset basic parameter sets, the historical wheelset basic parameter sets including at least one of the following: historical wheelset profile parameters, historical wheelset size parameters, historical wheelset classification parameters, historical wheelset material parameters; based on the historical wheelset basic parameter sets, constructing a wheelset basic parameter library.

[0010] According to an embodiment of the present disclosure, the above-mentioned wheelset design scheme generation method also includes: obtaining at least one historical damping information, wherein the historical damping information includes at least one of the following: historical damping parameters, historical damping types, and historical damping materials; and constructing a damping information library based on the historical damping information.

[0011] Another aspect of the present disclosure provides a wheelset design scheme generating device, comprising: a first building module, for building a three-dimensional finite element model of the wheelset based on target wheelset characteristic parameters corresponding to the wheelset design task and pre-acquired basic parameters of the wheelset, wherein the target wheelset characteristic parameters are read from a pre-built wheelset characteristic parameter library; a first simulation analysis module, for performing a first mesh division on the three-dimensional finite element model of the wheelset based on a first mesh size to obtain a first mesh model, performing simulation analysis on the first mesh model, and outputting initial simulation results, wherein the initial simulation results include strength simulation results, modal simulation results, and acoustic radiation simulation results; a determination module, for determining a target stress contribution area and a target noise contribution area in the three-dimensional finite element model of the wheelset based on the strength simulation results, the modal simulation results, and the acoustic radiation simulation results; a second simulation analysis module, for performing a second mesh division on the target stress contribution area and the target noise contribution area based on a second mesh size to obtain a second mesh model, performing simulation analysis on the second mesh model, and outputting a target simulation result, wherein the second mesh size is smaller than the first mesh size; and a generation module, for generating a wheelset design scheme based on the target simulation results.

[0012] Another aspect of the present disclosure provides an electronic device, comprising:

[0013] one or more processors;

[0014] a memory for storing one or more programs,

[0015] When one or more programs are executed by one or more processors, the one or more processors implement the above method.

[0016] Another aspect of the present disclosure provides a computer-readable storage medium storing computer-executable instructions, which are used to implement the above method when executed.

[0017] Another aspect of the present disclosure provides a rail vehicle, comprising the above-mentioned electronic device.

[0018] According to an embodiment of the present disclosure, by reading the basic parameters of the target wheelset from the pre-built wheelset basic parameter library, the basic parameters of the wheelset required for constructing the three-dimensional finite element model of the wheelset can be accurately determined, thereby improving the accuracy of the basic parameters of the wheelset obtained, and improving the efficiency of the wheelset design; by performing a first mesh division on the three-dimensional finite element model of the wheelset based on the first mesh size to obtain a first mesh model, the three-dimensional finite element model of the wheelset can be globally analyzed, thereby accurately determining the target stress contribution area and the target noise contribution area; by performing a second mesh division on the target stress contribution area and the target noise contribution area based on the second mesh size to obtain a second mesh model, and further performing simulation analysis on the second mesh model, the target stress contribution area and the target noise contribution area can be accurately calculated, thereby controlling the number of meshes in the second mesh model and saving calculation costs, while improving the calculation accuracy of key areas such as the target stress contribution area and the target noise contribution area. Therefore, at least partially overcome the technical problem that it takes a lot of time to determine the appropriate wheelset profile and characteristic size, resulting in low wheelset design efficiency, thereby achieving the technical effect of improving wheelset design efficiency and accuracy and saving calculation costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The above and other objects, features and advantages of the present disclosure will become more apparent through the following description of the embodiments of the present disclosure with reference to the accompanying drawings, in which:

[0020] Figure 1 An exemplary system architecture of a wheelset design solution generation method, apparatus, device, storage medium, and rail vehicle to which the present disclosure may be applied is schematically shown;

[0021] Figure 2 A flowchart of a method for generating a wheelset design solution according to an embodiment of the present disclosure is schematically shown;

[0022] Figure 3A flowchart for generating a wheelset design solution based on a target simulation result according to an embodiment of the present disclosure is schematically shown;

[0023] Figure 4 A flowchart of a method for generating a wheelset design solution according to another embodiment of the present disclosure is schematically shown;

[0024] Figure 5 A block diagram schematically shows a wheelset design scheme generating device according to an embodiment of the present disclosure; and

[0025] Figure 6 A block diagram of an electronic device 600 suitable for implementing a wheelset design solution generating method according to an embodiment of the present disclosure is schematically shown. DETAILED DESCRIPTION

[0026] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present disclosure. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of the embodiments of the present disclosure. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of the concepts of the present disclosure.

[0027] The terms used herein are only for describing specific embodiments and are not intended to limit the present disclosure. The terms "comprise", "include", etc. used herein indicate the existence of features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

[0028] All terms (including technical and scientific terms) used herein have the meanings commonly understood by those skilled in the art unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0029] When using expressions such as "at least one of A, B, and C, etc.", they should generally be interpreted according to the meaning of the expression commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0030] In the embodiments of the present disclosure, the collection, updating, analysis, processing, use, transmission, provision, disclosure, storage, etc. of the data involved (for example, including but not limited to user personal information) are in compliance with the provisions of relevant laws and regulations, are used for legitimate purposes, and do not violate public order and good morals. In particular, necessary measures are taken for user personal information to prevent illegal access to user personal information data and maintain the security of user personal information, network security, and national security.

[0031] In the embodiments of the present disclosure, the user's authorization or consent is obtained before obtaining or collecting the user's personal information.

[0032] It should be noted that in the embodiments of the present application, certain software, components, models and other existing solutions in the industry may be mentioned, and they should be regarded as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of the present application, but it does not mean that the applicant has or will necessarily use the solution.

[0033] In related technologies, in order to obtain a design solution that meets the requirements of strength, stiffness, and noise and can achieve lightweight wheelsets, designers often need to spend a lot of time determining the appropriate wheelset profile and characteristic dimensions, resulting in low wheelset design efficiency, and the generated design solution may not fully meet the design requirements.

[0034] In view of this, an embodiment of the present disclosure provides a method for generating a wheelset design scheme, including: constructing a three-dimensional finite element model of the wheelset based on target wheelset basic parameters corresponding to the wheelset design task and pre-acquired wheelset characteristic parameters, wherein the target wheelset basic parameters are read from a pre-constructed wheelset basic parameter library; based on a first grid size, performing a first grid division on the wheelset three-dimensional finite element model to obtain a first grid model, and performing simulation analysis on the first grid model to output initial simulation results, wherein the initial simulation results include strength simulation results, modal simulation results, and acoustic radiation simulation results; based on the strength simulation results, modal simulation results, and acoustic radiation simulation results, determining a target stress contribution area and a target noise contribution area in the wheelset three-dimensional finite element model; based on a second grid size, performing a second grid division on the target stress contribution area and the target noise contribution area to obtain a second grid model, and performing simulation analysis on the second grid model to output a target simulation result, wherein the second grid size is smaller than the first grid size; generating a wheelset design scheme based on the target simulation results.

[0035] Figure 1 The exemplary system architecture 100 to which the wheelset design scheme generation method, apparatus, device, storage medium and train of the present disclosure can be applied is schematically shown according to an embodiment of the present disclosure. It should be noted that: Figure 1What is shown is merely an example of a system architecture to which the embodiments of the present disclosure can be applied, in order to help those skilled in the art understand the technical content of the present disclosure, but it does not mean that the embodiments of the present disclosure cannot be used in other devices, systems, environments or scenarios.

[0036] like Figure 1 As shown, the system architecture 100 according to this embodiment may include a first terminal device 101, a second terminal device 102, a third terminal device 103, a network 104, a server 105, and a rail vehicle 106. The network 104 is used to provide a medium for communication links between the first terminal device 101, the second terminal device 102, the third terminal device 103, and the server 105. The network 104 may include various connection types, such as wired and / or wireless communication links, etc.

[0037] The user may use the first terminal device 101, the second terminal device 102, and the third terminal device 103 to interact with the server 105 through the network 104 to receive or send messages, etc. Various communication client applications may be installed on the first terminal device 101, the second terminal device 102, and the third terminal device 103, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, and / or social platform software, etc. (only for example).

[0038] The first terminal device 101, the second terminal device 102, and the third terminal device 103 may be various electronic devices having display screens and supporting web browsing, including but not limited to smart phones, tablet computers, laptop computers, desktop computers, and the like.

[0039] The server 105 may be a server that provides various services, such as a background management server (only as an example) that provides support for websites browsed by users using the first terminal device 101, the second terminal device 102, and the third terminal device 103. The background management server may analyze and process the received data such as user requests, and feed back the processing results (such as web pages, information, or data obtained or generated according to user requests) to the terminal device.

[0040] In the application scenario of the embodiment of the present disclosure, the user can use at least one of the first terminal device 101, the second terminal device 102, and the third terminal device 103 to initiate a request to the server 105 for obtaining the method for generating a wheelset design solution. In response to the above request, the server 105 can be used to execute the method for generating a wheelset design solution of the embodiment of the present disclosure, including: constructing a three-dimensional finite element model of the wheelset based on basic parameters of the target wheelset corresponding to the wheelset design task and pre-acquired wheelset characteristic parameters, wherein the basic parameters of the target wheelset are read from a pre-constructed wheelset basic parameter library; performing a first mesh division on the three-dimensional finite element model of the wheelset based on a first mesh size A first mesh model is obtained, and a simulation analysis is performed on the first mesh model to output an initial simulation result, wherein the initial simulation result includes a strength simulation result, a modal simulation result, and an acoustic radiation simulation result; based on the strength simulation result, the modal simulation result, and the acoustic radiation simulation result, a target stress contribution area and a target noise contribution area in the three-dimensional finite element model of the wheelset are determined; based on a second mesh size, a second mesh division is performed on the target stress contribution area and the target noise contribution area to obtain a second mesh model, and a simulation analysis is performed on the second mesh model to output a target simulation result, wherein the second mesh size is smaller than the first mesh size; based on the target simulation result, a wheelset design scheme is generated. The wheelset generated based on the wheelset design scheme can be applied to the rail vehicle 106.

[0041] It should be noted that the wheelset design scheme generation method provided in the embodiment of the present disclosure can generally be executed by the server 105. Accordingly, the wheelset design scheme generation system provided in the embodiment of the present disclosure can generally be set in the server 105. The wheelset design scheme generation method provided in the embodiment of the present disclosure can also be executed by a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105. Correspondingly, the wheelset design scheme generation system provided in the embodiment of the present disclosure can also be set in a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105. Alternatively, the wheelset design scheme generation method provided in the embodiment of the present disclosure can also be executed by the first terminal device 101, the second terminal device 102 or the third terminal device 103, or can also be executed by other terminal devices different from the first terminal device 101, the second terminal device 102 or the third terminal device 103. Correspondingly, the wheelset design scheme generation system provided in the embodiment of the present disclosure may also be arranged in the first terminal device 101, the second terminal device 102 or the third terminal device 103, or in other terminal devices different from the first terminal device 101, the second terminal device 102 or the third terminal device 103.

[0042] It should be understood that Figure 1 The number of terminal devices, networks, servers and rail vehicles in the embodiment is only for illustration. Any number of terminal devices, networks and servers may be provided according to the implementation requirements.

[0043] Figure 2 A flowchart of a method for generating a wheelset design solution according to an embodiment of the present disclosure is schematically shown.

[0044] like Figure 2 As shown, the method includes operations S201 to S205.

[0045] In operation S201, a wheelset three-dimensional finite element model is constructed based on target wheelset basic parameters corresponding to the wheelset design task and pre-acquired wheelset characteristic parameters, wherein the target wheelset basic parameters are read from a pre-constructed wheelset basic parameter library.

[0046] In operation S202, based on the first grid size, a first grid division is performed on the three-dimensional finite element model of the wheelset to obtain a first grid model, and a simulation analysis is performed on the first grid model to output initial simulation results, wherein the initial simulation results include strength simulation results, modal simulation results, and acoustic radiation simulation results.

[0047] In operation S203 , a target stress contribution area and a target noise contribution area in the three-dimensional finite element model of the wheelset are determined based on the strength simulation results, the modal simulation results, and the sound radiation simulation results.

[0048] In operation S204, based on the second grid size, a second grid division is performed on the target stress contribution area and the target noise contribution area to obtain a second grid model, and a simulation analysis is performed on the second grid model to output a target simulation result, wherein the second grid size is smaller than the first grid size.

[0049] In operation S205 , a wheelset design solution is generated based on the target simulation result.

[0050] According to an embodiment of the present disclosure, in operation S201, the wheelset design task may be, for example, a wheelset whose design strength, stiffness, and noise all meet predetermined numerical conditions, for example, a wheelset that can simultaneously meet high strength requirements, low noise requirements, and lightweight requirements. The wheelset basic parameter library stores pre-acquired wheelset basic parameters. The wheelset basic parameters are used to characterize commonly used wheelset profiles and characteristic dimensions corresponding to the wheelset profiles. The wheelset basic parameters may include, for example, commonly used power wheelset profiles, non-power wheelset profiles, wheel diameters, wheel rim heights, tread shapes, and the like. Some of the wheelset basic parameters required to establish three-dimensional finite element models of different wheelsets may be the same, so when constructing a wheelset three-dimensional finite element model corresponding to the wheelset design task, the wheelset basic parameters commonly used in the past may be referred to, for example, the wheelset basic parameters corresponding to the wheelset design task, i.e., the target wheelset basic parameters, may be directly read from the wheelset basic parameter library. Furthermore, for different wheelset design tasks, another part of the basic parameters of the wheelset required for establishing the three-dimensional finite element model may be different. Therefore, the wheelset parameters corresponding to the wheelset design task, that is, the wheelset characteristic parameters, can be obtained in advance.

[0051] According to an embodiment of the present disclosure, by directly reading the target wheelset basic parameters corresponding to the wheelset design task from a pre-built wheelset basic parameter library, the efficiency of wheelset design can be improved, and the accuracy of the acquired wheelset basic parameters can be improved.

[0052] According to an embodiment of the present disclosure, based on the target wheelset basic parameters corresponding to the wheelset design task and the pre-acquired wheelset characteristic parameters, constructing a wheelset three-dimensional finite element model may be: inputting the target wheelset basic parameters and the wheelset characteristic parameters into a predetermined wheelset construction software, outputting wheelset profile characteristic points; generating a wheelset profile parameter table based on the wheelset characteristic points, and constructing a wheelset three-dimensional finite element model based on the wheelset profile parameter table. The wheelset profile characteristic points may include key points for characterizing the geometric shape of the wheelset, such as the highest point, the lowest point, the edge point of the tread, and the like.

[0053] According to the embodiment of the present disclosure, based on the target wheelset basic parameters corresponding to the wheelset design task and the pre-acquired wheelset characteristic parameters, the target wheelset basic parameters and the wheelset characteristic parameters are input into the predetermined wheelset construction software to construct the wheelset three-dimensional finite element model, thereby realizing the automatic parameterization of the wheelset three-dimensional finite element model. In this way, the efficiency of wheelset design can be improved, the manual workload can be reduced, and the demand for wheelset design task changes can be quickly responded to.

[0054] According to an embodiment of the present disclosure, in operation S202, after generating a three-dimensional finite element model of a wheelset, a simulation analysis may be performed on the three-dimensional finite element model of the wheelset, so that the wheelset design parameters may be optimized based on the simulation analysis results, so as to obtain a wheelset design scheme that meets the requirements of the wheelset design task. Specifically, the simulation analysis performed on the first mesh model may be, for example, strength simulation analysis, modal simulation analysis, and acoustic radiation simulation analysis performed on the first mesh model. The strength simulation results may be output through the strength simulation analysis, and the strength simulation results may be used to characterize the stress and strain state of the wheelset corresponding to the three-dimensional finite element model of the wheelset under static or dynamic loads; the modal simulation results may be output through the modal simulation analysis, and the modal simulation results are used to characterize the natural frequency and vibration mode of the wheelset, thereby determining the vibration mode of the wheelset; the acoustic radiation simulation results may be output through the acoustic radiation simulation analysis, and the acoustic radiation simulation results may characterize the noise generated by the wheelset during operation.

[0055] By performing strength simulation analysis, modal simulation analysis, and acoustic radiation simulation analysis on the first mesh model, the stress-strain state, vibration mode, and noise condition of the first mesh model can be comprehensively analyzed, thereby facilitating the subsequent generation of a wheelset design scheme based on the simulation results that meets the requirements in terms of strength, stiffness, and noise performance and can achieve lightweight.

[0056] According to an embodiment of the present disclosure, in operation S203, the target stress contribution area may be an area in the first mesh model where stress is relatively concentrated, for example, an area where the stress value is greater than a preset stress threshold. The target noise contribution area may be an area in the first mesh model that contributes the most to noise. Specifically, the area in the first mesh model where stress is relatively concentrated may be determined based on the strength simulation results; and the area in the first mesh model that contributes the most to noise may be determined based on the sound radiation simulation results.

[0057] According to an embodiment of the present disclosure, in operation S204, for areas where stress is more concentrated and areas where noise contributes the most, fatigue cracks are more likely to occur, reducing the fatigue life of the wheelset, so these key areas need to be calculated with higher precision. For example, a second mesh division can be performed on the target stress contribution area and the target noise contribution area to obtain a second mesh model, and the second mesh model can be simulated and analyzed to output the target simulation results. By performing a second mesh division on the target stress contribution area and the target noise contribution area, the target stress contribution area and the target noise contribution area can be meshed, thereby improving the calculation accuracy of the above-mentioned target stress contribution area and the target noise contribution area. Specifically, the second mesh model can be simulated and analyzed by the sub-model method.

[0058] According to an embodiment of the present disclosure, by performing a second grid division on the target stress contribution area and the target noise contribution area to obtain a second grid model, and performing simulation analysis on the second grid model, grid refinement calculation of the target stress contribution area and the target noise contribution area, which are key areas that will significantly affect the fatigue life of the wheelset, can be achieved, thereby improving the calculation accuracy to obtain more accurate calculation results; by performing grid refinement calculation only on the target stress contribution area and the target noise contribution area, rather than performing grid refinement calculation on all areas in the three-dimensional finite element model of the wheelset, the total number of grids in the three-dimensional finite element model of the wheelset can be controlled and the calculation cost can be saved.

[0059] According to an embodiment of the present disclosure, in operation S205, after generating the target simulation result, the wheelset design parameters can be optimized based on the target simulation result, so that based on the optimized wheelset design parameters, a wheelset whose strength index, noise level index and weight index all meet the preset numerical conditions can be obtained, thereby obtaining a wheelset design scheme.

[0060] According to an embodiment of the present disclosure, by reading the target wheelset basic parameters from a pre-constructed wheelset basic parameter library and accurately determining the wheelset basic parameters required for constructing a three-dimensional finite element model of the wheelset, the accuracy of the acquired wheelset basic parameters can be improved, and the efficiency of wheelset design can be improved; by performing a first grid division on the three-dimensional finite element model of the wheelset based on a first grid size to obtain a first grid model, a global analysis can be performed on the three-dimensional finite element model of the wheelset to determine a target stress contribution area and a target noise contribution area; by performing a second grid division on the target stress contribution area and the target noise contribution area based on a second grid size to obtain a second grid model, and further performing simulation analysis on the second grid model, the target stress contribution area and the target noise contribution area can be accurately calculated, thereby, while controlling the number of grids in the second grid model and saving calculation costs, the calculation accuracy of key areas such as the target stress contribution area and the target noise contribution area can be improved, and automated simulation analysis of the three-dimensional finite element model of the wheelset can be achieved.

[0061] Figure 3 A flowchart for generating a wheelset design solution based on target simulation results according to an embodiment of the present disclosure is schematically shown.

[0062] like Figure 3 As shown, the method includes operations S301 to S304.

[0063] In operation S301, it is determined that the wheelset has an optimizable structure.

[0064] In operation S302, parameters to be optimized corresponding to the optimizable structure of the wheelset are obtained.

[0065] In operation S303, based on the parameters to be optimized, a multi-objective genetic algorithm is used to determine the wheelset optimization parameters.

[0066] In operation S304, a wheelset design solution is generated based on the wheelset optimization parameters.

[0067] According to the embodiments of the present disclosure, in operation S301 to operation S302, since not all design parameters of the structure of the wheelset can be adjusted, it is necessary to first determine the optimizable structure of the wheelset. For example, for the parts of the wheelset that contact the track, such as the wheel tread, wheel hub, and axle interface, their dimensions and other design parameters are usually not adjustable, and the optimizable structure of the wheelset may include, for example, wheel spokes, axle transition structures, etc., wherein the axle transition structure may include, for example, structures such as wheel seats, gear seats, and brake disc seats. The parameters to be optimized corresponding to the optimizable structure of the wheelset may include the size parameters of the optimizable structure of the wheelset, such as spoke thickness, spoke width, axle diameter, etc.

[0068] According to an embodiment of the present disclosure, in operation S303, a multi-objective genetic algorithm is used to determine the optimization parameters of the wheelset, so as to obtain a wheelset design scheme that can achieve lightweight while meeting the requirements of strength, stiffness and noise.

[0069] According to an embodiment of the present disclosure, in operation S304, after determining the wheelset optimization parameters, a damping technology matching the wheelset optimization parameters may be determined, thereby obtaining a wheelset design solution.

[0070] According to an embodiment of the present disclosure, by first determining the optimizable structure of the wheelset and optimizing the parameters to be optimized corresponding to the optimizable structure of the wheelset, rather than optimizing the parameters corresponding to the entire structure of the wheelset, the amount of calculation can be reduced and the calculation efficiency can be improved.

[0071] According to an embodiment of the present disclosure, specifically, based on the parameters to be optimized, determining the wheelset optimization parameters using a multi-objective genetic algorithm includes: establishing an objective function based on the wheelset mass and modal frequency; establishing constraints based on the fatigue strength curve; based on the objective function and the constraints, optimizing the parameters to be optimized using a multi-objective genetic algorithm, and outputting the wheelset optimization parameters.

[0072] According to the embodiment of the present disclosure, in order to further achieve lightweighting of the wheelset while meeting the requirements of fatigue strength and noise, the wheelset mass and modal frequency can be used as the objective function, and the fatigue strength curve can be used as the constraint condition to establish a multi-objective optimization model. Automatic optimization calculation is performed through a multi-objective genetic algorithm to output the wheelset optimization parameters. Among them, the fatigue strength curve can be, for example, the Goodman fatigue strength curve (Haigh-Goodman fatigue strength curve).

[0073] According to the embodiments of the present disclosure, based on the multi-objective genetic algorithm, the parameters to be optimized corresponding to the wheelset optimizable structure are optimized, the resonance frequency of the main radiated noise can be avoided, the wheelset stiffness can be improved, and the vibration level of the spoke plate surface can be reduced, thereby reducing the structural sound radiation noise; through the constraints of the fatigue strength curve, the wheelset mass can be reduced while meeting the strength requirements, so as to achieve lightweight wheelset. Therefore, by establishing an objective function according to the wheelset mass and modal frequency; establishing constraints according to the fatigue strength curve; and optimizing the parameters to be optimized based on the objective function and constraints, the multi-objective genetic algorithm can be used to automatically achieve multi-objective optimization of the wheelset, and a wheelset design scheme that meets the requirements of strength, stiffness, and noise and can achieve lightweight at the same time can be generated.

[0074] According to an embodiment of the present disclosure, specifically, generating a wheelset design scheme based on wheelset optimization parameters includes: reading target damping information that matches the wheelset optimization parameters from a pre-built damping information library; generating a wheelset design scheme based on the wheelset optimization parameters and the target damping information.

[0075] According to an embodiment of the present disclosure, the pre-built damping information library stores commonly used damping information, such as commonly used damping parameters, damping types, damping materials, etc. The target damping information matching the wheelset optimization parameters can be directly read from the damping information library to determine the target damping technology corresponding to the wheelset optimization parameters. The wheelset design solution can include the target damping technology and the wheelset optimization parameters.

[0076] According to the embodiments of the present disclosure, the target damping information matching the wheelset optimization parameters is read from the pre-built damping information library, and it is no longer necessary to manually spend a lot of time to determine the appropriate damping technology, thereby improving the efficiency of wheelset design and the accuracy of wheelset design. In addition, after determining the wheelset optimization parameters, the wheelset noise can be further reduced by matching the damping information that is compatible with the wheelset optimization parameters based on the wheelset optimization parameters.

[0077] According to the embodiments of the present disclosure, after generating a wheelset design scheme, it is possible to evaluate whether the wheelset design scheme has achieved the expected design goal. If the wheelset design scheme has not achieved the expected design goal, the wheelset design scheme can be re-optimized, for example, the wheelset optimizable structure can be re-determined; or the parameters to be optimized corresponding to the wheelset optimizable structure can be re-determined; the objective function can be re-established, or the constraints can be re-established. Thus, through iterative optimization, the accuracy of the wheelset design scheme can be improved, and a lightweight target wheelset design scheme with strength and stiffness that meet the requirements can be obtained.

[0078] Furthermore, when the wheelset design scheme is iteratively optimized to obtain the target wheelset design scheme, the damping information corresponding to the target wheelset design scheme can be stored in a pre-built damping information library, and the wheelset optimization parameters corresponding to the target wheelset design scheme can be stored in a pre-built wheelset basic parameter library. Thus, when the wheelset design is performed again in the future, the wheelset optimization parameters and damping information corresponding to the target wheelset design scheme can be read from the wheelset basic parameter library and the damping information library, so that the wheelset optimization parameters and damping information corresponding to the target wheelset design scheme can be referred to to generate the next wheelset design scheme.

[0079] According to an embodiment of the present disclosure, when a wheelset design scheme achieves the expected design goal, the wheelset optimization parameters corresponding to the wheelset design scheme can be directly stored in a wheelset basic parameter library.

[0080] Figure 4 A flowchart of a method for generating a wheelset design solution according to another embodiment of the present disclosure is schematically shown.

[0081] like Figure 4 As shown, the method includes operations S401 to S408.

[0082] In operation S401, basic parameters of a target wheelset are read from a pre-built wheelset basic parameter library.

[0083] In operation S402, a wheelset profile parameter table is generated based on the wheelset feature points, and reference wheelset parameters are read from the wheelset profile parameter table to construct a wheelset three-dimensional finite element model. The reference wheelset parameters may include wheel rim height, wheel rim thickness, and the like.

[0084] In operation S403, simulation analysis is performed to output strength simulation results, modal simulation results, and acoustic radiation simulation results.

[0085] In operation S404 , mesh refinement is performed on the target stress contribution region and the target noise contribution region by using a sub-model method.

[0086] In operation S405, based on the objective function and the constraints, the parameters to be optimized are optimized using a multi-objective genetic algorithm, and the wheelset optimization parameters are output.

[0087] In operation S406, a wheelset design solution is generated based on the wheelset optimization parameters and target damping information.

[0088] In operation S407, it is determined whether the wheelset design scheme meets the predetermined design goal. If the wheelset design scheme does not meet the predetermined design goal, the optimization parameters are optimized again based on the objective function and the constraints using a multi-objective genetic algorithm, thereby iteratively optimizing the optimization parameters.

[0089] In operation S408, when the wheelset design scheme meets the predetermined design target, the wheelset optimization parameters are stored in the wheelset basic parameter library, and the target damping information is stored in the damping information library.

[0090] According to an embodiment of the present disclosure, the above-mentioned wheelset design scheme generation method also includes: obtaining at least one set of historical wheelset basic parameter sets, the historical wheelset basic parameter sets including at least one of the following: historical wheelset profile parameters, historical wheelset size parameters, historical wheelset classification parameters, historical wheelset material parameters; based on the historical wheelset basic parameter sets, constructing a wheelset basic parameter library.

[0091] According to the embodiments of the present disclosure, wheelsets can generally be divided into powered wheelsets and non-powered wheelsets, wherein powered wheelsets are equipped with gearbox devices, and non-powered wheelsets are generally equipped with axle-mounted brake discs; axles can generally be divided into solid axles and hollow axles according to the axle type; wheels are generally divided into different forms according to the tread form, spoke plate type, presence or absence of pin holes, etc. The basic parameters of historical wheelsets commonly used in a predetermined historical period can be obtained, for example, the profiles and sizes of commonly used powered wheelsets and non-powered wheelsets can be obtained, and a basic parameter set of historical wheelsets can be obtained, and a basic parameter library of wheelsets can be constructed based on the basic parameter set of historical wheelsets.

[0092] According to the embodiments of the present disclosure, by constructing a wheelset basic parameter library, the target wheelset basic parameters corresponding to the wheelset design task can be directly and accurately read from the wheelset basic parameter library without spending a lot of time to determine the target wheelset basic parameters, thereby improving the efficiency and accuracy of wheelset design and reducing manual workload.

[0093] According to an embodiment of the present disclosure, the above-mentioned wheelset design scheme generation method also includes: obtaining at least one historical damping information, the historical damping information includes at least one of the following: historical damping parameters, historical damping types, historical damping materials; based on the historical damping information, constructing a damping information library.

[0094] According to the embodiments of the present disclosure, the damping information commonly used in a predetermined historical period can be obtained to obtain historical damping information. For example, the damping technology commonly used in a predetermined historical period can be obtained, such as dynamic vibration absorbers, constrained damping, damping rings, damping blocks, etc., and the corresponding historical damping parameters, historical damping types, and historical damping materials can also be obtained.

[0095] According to the embodiments of the present disclosure, by constructing a damping information library, the target damping information that matches the wheelset optimization parameters can be directly read from the damping information library without spending a lot of time screening and determining the target damping information. As a result, the wheelset design efficiency can be further improved, and the damping information can be accurately matched to improve the accuracy of the wheelset design.

[0096] Figure 5 A block diagram of a wheelset design scheme generating device according to an embodiment of the present disclosure is schematically shown.

[0097] like Figure 5 As shown, the wheelset design scheme generating device 500 includes a first building module 510 , a first simulation analysis module 520 , a determination module 530 , a second simulation analysis module 540 and a generating module 550 .

[0098] The first construction module 510 is used to construct a wheelset three-dimensional finite element model based on target wheelset characteristic parameters corresponding to the wheelset design task and pre-acquired wheelset basic parameters, wherein the target wheelset characteristic parameters are read from a pre-constructed wheelset characteristic parameter library. In one embodiment, the first construction module 510 can be used to perform the operation S201 described above, which will not be described in detail herein.

[0099] The first simulation analysis module 520 is used to perform a first mesh division on the wheelset three-dimensional finite element model based on the first mesh size to obtain a first mesh model, and to perform simulation analysis on the first mesh model to output initial simulation results, wherein the initial simulation results include strength simulation results, modal simulation results, and acoustic radiation simulation results. In one embodiment, the first simulation analysis module 520 can be used to perform the operation S202 described above, which will not be described in detail herein.

[0100] The determination module 530 is used to determine the target stress contribution area and the target noise contribution area in the three-dimensional finite element model of the wheelset based on the strength simulation results, the modal simulation results, and the sound radiation simulation results. In one embodiment, the determination module 530 can be used to perform the operation S203 described above, which will not be repeated here.

[0101] The second simulation analysis module 540 is used to perform a second mesh division on the target stress contribution area and the target noise contribution area based on the second mesh size to obtain a second mesh model, and perform simulation analysis on the second mesh model to output a target simulation result, wherein the second mesh size is smaller than the first mesh size. In one embodiment, the second simulation analysis module 540 can be used to perform the operation S205 described above, which will not be described in detail herein.

[0102] The generation module 550 is used to generate a wheelset design solution based on the target simulation result. In one embodiment, the generation module 550 can be used to perform the operation S205 described above, which will not be described in detail here.

[0103] According to an embodiment of the present disclosure, the generating module includes a first determining submodule, an acquiring submodule, a second determining submodule and a generating submodule.

[0104] The first determination submodule is used to determine the wheelset optimizable structure; the acquisition submodule is used to obtain the parameters to be optimized corresponding to the wheelset optimizable structure; the second determination submodule is used to determine the wheelset optimization parameters based on the parameters to be optimized using a multi-objective genetic algorithm; the generation submodule is used to generate a wheelset design plan based on the wheelset optimization parameters.

[0105] According to an embodiment of the present disclosure, the second determining submodule includes: a first establishing unit, a second establishing unit and an output unit.

[0106] The first establishing unit is used to establish the objective function according to the wheelset mass and the modal frequency; the second establishing unit is used to establish the constraint conditions according to the fatigue strength curve; the output unit is used to optimize the parameters to be optimized based on the objective function and the constraint conditions using a multi-objective genetic algorithm and output the wheelset optimization parameters.

[0107] According to an embodiment of the present disclosure, the generating submodule includes a reading unit and a generating unit.

[0108] The reading unit is used to read the target damping information matching the wheelset optimization parameters from a pre-built damping information library, where the target damping information includes at least one of the following: target damping parameters, target damping type, and target damping material; the generating unit is used to generate a wheelset design scheme based on the wheelset optimization parameters and the target damping information.

[0109] According to an embodiment of the present disclosure, the wheelset design scheme generating device further includes a first acquisition module and a second construction module.

[0110] The first acquisition module is used to acquire at least one set of historical wheelset basic parameter sets, and the historical wheelset basic parameter sets include at least one of the following: historical wheelset profile parameters, historical wheelset size parameters, historical wheelset classification parameters, and historical wheelset material parameters; the second construction module is used to construct a wheelset basic parameter library based on the historical wheelset basic parameter sets.

[0111] According to an embodiment of the present disclosure, the wheelset design scheme generating device further includes a second acquisition module and a third construction module.

[0112] The second acquisition module is used to acquire at least one historical damping information; the third construction module is used to construct a damping information library based on the historical damping information.

[0113] According to the embodiments of the present invention, any one or more of the modules, submodules, units, and subunits, or at least part of the functions of any one of them can be implemented in one module. According to the embodiments of the present invention, any one or more of the modules, submodules, units, and subunits can be split into multiple modules for implementation. According to the embodiments of the present invention, any one or more of the modules, submodules, units, and subunits can be at least partially implemented as hardware circuits, such as field programmable gate arrays (FPGAs), programmable logic arrays (PLAs), systems on chips, systems on substrates, systems on packages, application specific integrated circuits (ASICs), or can be implemented by hardware or firmware in any other reasonable way of integrating or packaging circuits, or can be implemented in any one of the three implementation methods of software, hardware, and firmware, or in any appropriate combination of any of them. Alternatively, according to the embodiments of the present invention, one or more of the modules, submodules, units, and subunits can be at least partially implemented as computer program modules, and when the computer program modules are run, the corresponding functions can be performed.

[0114] For example, any multiple of the first building module 510, the first simulation analysis module 520, the determination module 530, the second simulation analysis module 540, and the generation module 550 can be combined in one module / unit / sub-unit for implementation, or any one of the modules / units / sub-units can be split into multiple modules / units / sub-units. Alternatively, at least part of the functions of one or more of these modules / units / sub-units can be combined with at least part of the functions of other modules / units / sub-units and implemented in one module / unit / sub-unit. According to an embodiment of the present disclosure, at least one of the first building module 510, the first simulation analysis module 520, the determination module 530, the second simulation analysis module 540, and the generation module 550 can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application specific integrated circuit (ASIC), or can be implemented by hardware or firmware such as any other reasonable way of integrating or packaging the circuit, or implemented in any one of the three implementation methods of software, hardware, and firmware, or in any appropriate combination of any of them. Alternatively, at least one of the first construction module 510, the first simulation analysis module 520, the determination module 530, the second simulation analysis module 540 and the generation module 550 may be at least partially implemented as a computer program module, which may perform corresponding functions when executed.

[0115] It should be noted that the data processing system part in the embodiments of the present disclosure corresponds to the data processing method part in the embodiments of the present disclosure. The description of the data processing system part specifically refers to the data processing method part, which will not be repeated here.

[0116] Figure 6 A block diagram of an electronic device suitable for implementing the method described above according to an embodiment of the present disclosure is schematically shown. Figure 6 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0117] like Figure 6 As shown, the electronic device 600 according to an embodiment of the present disclosure includes a processor 601, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 602 or a program loaded from a storage part 608 to a random access memory (RAM) 603. The processor 601 may include, for example, a general-purpose microprocessor (such as a CPU), an instruction set processor and / or a related chipset and / or a special-purpose microprocessor (for example, an application-specific integrated circuit (ASIC)), etc. The processor 601 may also include an onboard memory for caching purposes. The processor 601 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present disclosure.

[0118] In RAM 603, various programs and data required for the operation of electronic device 600 are stored. Processor 601, ROM 602 and RAM 603 are connected to each other via bus 604. Processor 601 performs various operations of the method flow according to the embodiment of the present disclosure by executing the program in ROM 602 and / or RAM 603. It should be noted that the program can also be stored in one or more memories other than ROM 602 and RAM 603. Processor 601 can also perform various operations of the method flow according to the embodiment of the present disclosure by executing the program stored in one or more memories.

[0119] According to an embodiment of the present disclosure, the electronic device 600 may further include an input / output (I / O) interface 605, which is also connected to the bus 604. The electronic device 600 may further include one or more of the following components connected to the input / output (I / O) interface 605: an input portion 606 including a keyboard, a mouse, etc.; an output portion 607 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage portion 608 including a hard disk, etc.; and a communication portion 609 including a network interface card such as a LAN card, a modem, etc. The communication portion 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to the input / output (I / O) interface 605 as needed. A removable medium 611, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 610 as needed, so that a computer program read therefrom is installed into the storage portion 608 as needed.

[0120] According to an embodiment of the present disclosure, the method flow according to an embodiment of the present disclosure can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a computer-readable storage medium, and the computer program contains a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 609, and / or installed from the removable medium 611. When the computer program is executed by the processor 601, the above-mentioned functions defined in the system of the embodiment of the present disclosure are executed. According to an embodiment of the present disclosure, the system, equipment, device, module, unit, etc. described above can be implemented by a computer program module.

[0121] The present disclosure also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments; or may exist independently without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the method according to the embodiment of the present disclosure is implemented.

[0122] According to an embodiment of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium. For example, it may include, but is not limited to: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, apparatus, or device.

[0123] For example, according to an embodiment of the present disclosure, the computer-readable storage medium may include the ROM 602 and / or the RAM 603 described above and / or one or more memories other than the ROM 602 and the RAM 603 .

[0124] An embodiment of the present disclosure also includes a computer program product, which includes a computer program, and the computer program contains a program code for executing the method provided by the embodiment of the present disclosure. When the computer program product runs on an electronic device, the program code is used to enable the electronic device to implement the wheelset design scheme generation method provided by the embodiment of the present disclosure.

[0125] When the computer program is executed by the processor 601, the above functions defined in the system / device of the embodiment of the present disclosure are executed. According to the embodiment of the present disclosure, the system, device, module, unit, etc. described above can be implemented by a computer program module.

[0126] In one embodiment, the computer program may rely on tangible storage media such as optical storage devices, magnetic storage devices, etc. In another embodiment, the computer program may also be transmitted and distributed in the form of signals on a network medium, and downloaded and installed through the communication part 609, and / or installed from a removable medium 611. The program code contained in the computer program may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0127] According to an embodiment of the present disclosure, the program code for executing the computer program provided by the embodiment of the present disclosure can be written in any combination of one or more programming languages. Specifically, these computing programs can be implemented using high-level process and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, Java, C++, python, "C" language or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on the remote computing device, or entirely on the 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 through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, using an Internet service provider to connect through the Internet).

[0128] The flowcharts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram may represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box may also occur in an order different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart, can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions. It can be understood by those skilled in the art that the features recorded in the various embodiments of the present disclosure can be combined and / or combined in a variety of ways, even if such a combination or combination is not explicitly recorded in the present disclosure. In particular, without departing from the spirit and teaching of the present disclosure, the features described in the various embodiments of the present disclosure may be combined and / or combined in a variety of ways. All of these combinations and / or combinations fall within the scope of the present disclosure.

[0129] The embodiments of the present disclosure are described above. However, these embodiments are only for illustrative purposes and are not intended to limit the scope of the present disclosure. Although the embodiments are described above, this does not mean that the measures in the various embodiments cannot be used in combination to advantage. Without departing from the scope of the present disclosure, those skilled in the art may make a variety of substitutions and modifications, which should all fall within the scope of the present disclosure.

Claims

1. A method for generating a wheelset design scheme, comprising: Based on the target wheelset basic parameters corresponding to the wheelset design task and the pre-acquired wheelset characteristic parameters, a wheelset three-dimensional finite element model is constructed, wherein the target wheelset basic parameters are read from a pre-constructed wheelset basic parameter library; Based on the first grid size, performing a first grid division on the three-dimensional finite element model of the wheelset to obtain a first grid model, and performing simulation analysis on the first grid model to output initial simulation results, wherein the initial simulation results include strength simulation results, modal simulation results, and acoustic radiation simulation results; Determine a target stress contribution area and a target noise contribution area in the three-dimensional finite element model of the wheelset based on the strength simulation results, the modal simulation results, and the sound radiation simulation results; Based on a second grid size, performing a second grid division on the target stress contribution area and the target noise contribution area to obtain a second grid model, and performing simulation analysis on the second grid model to output a target simulation result, wherein the second grid size is smaller than the first grid size; Based on the target simulation results, a wheelset design solution is generated.

2. The method according to claim 1, wherein: The generating of a wheelset design scheme based on the target simulation result comprises: Determine the wheelset to optimize the structure; Obtaining parameters to be optimized corresponding to the wheelset optimizable structure; Based on the parameters to be optimized, a multi-objective genetic algorithm is used to determine the wheelset optimization parameters; Based on the wheelset optimization parameters, a wheelset design solution is generated.

3. The method according to claim 2, wherein: Determining the wheelset optimization parameters by using a multi-objective genetic algorithm based on the parameters to be optimized includes: Establishing objective function based on wheelset mass and modal frequency; Establish constraints based on fatigue strength curves; Based on the objective function and the constraint conditions, the parameters to be optimized are optimized using the multi-objective genetic algorithm, and the wheelset optimization parameters are output.

4. The method according to claim 2, wherein: The generating of a wheelset design scheme based on the wheelset optimization parameters comprises: Reading target damping information matching the wheelset optimization parameters from a pre-built damping information library; The wheelset design solution is generated based on the wheelset optimization parameters and the target damping information.

5. The method according to claim 1, wherein: The method further comprises: Acquire at least one set of historical wheelset basic parameter sets, wherein the historical wheelset basic parameter sets include at least one of the following: historical wheelset profile parameters, historical wheelset size parameters, historical wheelset classification parameters, and historical wheelset material parameters; Based on the historical wheelset basic parameter set, the wheelset basic parameter library is constructed.

6. The method according to claim 5, wherein: The method further comprises: Acquire at least one historical damping information, wherein the historical damping information includes at least one of the following: a historical damping parameter, a historical damping type, and a historical damping material; The damping information library is constructed based on the historical damping information.

7. A wheelset design scheme generating device, comprising: A first construction module is used to construct a three-dimensional finite element model of a wheelset based on target wheelset characteristic parameters corresponding to the wheelset design task and pre-acquired wheelset basic parameters, wherein the target wheelset characteristic parameters are read from a pre-constructed wheelset characteristic parameter library; A first simulation analysis module, configured to perform a first mesh division on the three-dimensional finite element model of the wheelset based on a first mesh size to obtain a first mesh model, perform simulation analysis on the first mesh model, and output an initial simulation result, wherein the initial simulation result includes a strength simulation result, a modal simulation result, and an acoustic radiation simulation result; A determination module, used to determine a target stress contribution area and a target noise contribution area in the three-dimensional finite element model of the wheelset based on the strength simulation result, the modal simulation result, and the sound radiation simulation result; a second simulation analysis module, configured to perform a second mesh division on the target stress contribution area and the target noise contribution area based on a second mesh size to obtain a second mesh model, perform simulation analysis on the second mesh model, and output a target simulation result, wherein the second mesh size is smaller than the first mesh size; and A generation module is used to generate a wheelset design solution based on the target simulation results.

8. An electronic device comprising: one or more processors; a storage device for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors are caused to execute the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having executable instructions stored thereon, which, when executed by a processor, enables the processor to implement the method according to any one of claims 1 to 6.

10. A rail train, comprising: The electronic device as claimed in claim 8.

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