Method, device and equipment for determining cae performance of sleeper structure and storage medium
By acquiring the damage parameters of the sleeper structure, determining the material information for CAE performance analysis, setting the static stress-stiffness analysis conditions, and training the CAE analysis model using the Hpermesh algorithm, the problem of low accuracy in CAE performance analysis of sleeper structures was solved, achieving more efficient analysis results.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- DONGFENG LIUZHOU MOTOR
- Filing Date
- 2022-11-29
- Publication Date
- 2026-05-01
AI Technical Summary
In the existing technology, the accuracy of CAE performance analysis of sleeper structures is low, and it cannot effectively evaluate the performance of sleeper structures that are not cracked or deformed.
By acquiring the damage parameters of the sleeper structure, determining the material information for CAE performance analysis, setting the static stress-stiffness analysis conditions for the upper and lower sleepers, and training the CAE analysis model using the Hpermesh algorithm, the CAE performance analysis of the sleeper structure is carried out.
It improves the accuracy of CAE performance analysis of sleeper structures and reduces development cycle and cost.
Smart Images

Figure CN115730390B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of vehicle technology, and in particular to a method, apparatus, equipment, and storage medium for determining the CAE performance of sleeper structures. Background Technology
[0002] As an integral part of a vehicle, the sleeper berth structure provides unprecedented convenience for drivers in their daily lives. For example, it provides a place for drivers to lie down and rest when they are fatigued. Therefore, the CAE performance of the sleeper berth structure has a direct impact on the driver's comfort and safety. Currently, the CAE performance of the sleeper berth structure is determined based on reliability tests conducted on sleeper berth structures that have cracked or deformed. However, the analysis of sleeper berth structures that have cracked or deformed includes all possible sleeper berth damage scenarios, which makes the accuracy of the final analysis of the sleeper berth structure's CAE performance relatively low.
[0003] The above content is only used to help understand the technical solution of the present invention and does not represent an admission that the above content is prior art. Summary of the Invention
[0004] The main objective of this invention is to provide a method, apparatus, device, and storage medium for determining the CAE performance of sleeper structures, aiming to solve the technical problem of low accuracy in the existing technology for analyzing the CAE performance of sleeper structures.
[0005] To achieve the above objectives, the present invention provides a method for determining the CAE performance of a sleeper structure, the method comprising the following steps:
[0006] Obtain damage parameters of the sleeper structure located inside the vehicle;
[0007] Determine CAE performance analysis material information based on the damage parameters of the sleeper structure;
[0008] Based on the damage parameters of the sleeper structure and the material information from the CAE performance analysis, set the static stress-stiffness analysis conditions for the upper sleeper and the lower sleeper.
[0009] The CAE performance of the sleeper structure was analyzed based on the static stress-stiffness analysis conditions of the upper berth and the lower berth.
[0010] Optionally, CAE performance analysis material information is determined based on the damage parameters of the sleeper structure, including:
[0011] Material damage parameters are obtained based on the damage parameters of the sleeper structure.
[0012] The material to be analyzed is determined based on the material damage parameters, and the material to be analyzed includes a first material to be analyzed and a second material to be analyzed.
[0013] A safety factor analysis was performed on the first material to be analyzed to obtain the safety value of the yield limit stress.
[0014] A safety factor analysis was performed on the second material to be analyzed to obtain the safety value of the tensile ultimate stress.
[0015] CAE performance analysis material information is generated based on the first material to be analyzed, the yield strength stress safety value, the second material to be analyzed, and the tensile strength stress safety value.
[0016] Optionally, setting the static stress-stiffness analysis conditions for the upper berth and the lower berth based on the damage parameters of the berth structure and the CAE performance analysis material information includes:
[0017] Based on the damage parameters of the sleeper structure, the damage parameters of the upper sleeper and the lower sleeper are obtained;
[0018] Based on the damage parameters of the upper berth and the material information from the CAE performance analysis, set the static stress-stiffness analysis conditions for the upper berth;
[0019] Based on the lower berth damage parameters and the CAE performance analysis material information, set the static stress-stiffness analysis conditions for the lower berth.
[0020] Optionally, setting the static stress-stiffness analysis conditions for the upper berth based on the damage parameters of the upper berth and the material information from the CAE performance analysis includes:
[0021] Based on the damage parameters of the upper berth and the CAE performance analysis material information, determine the constraints of the first upper berth and the installation positions of each body-in-white and the constraints of the first upper berth.
[0022] The upper sleeper area is divided into several independent upper sleeper areas;
[0023] The weight is averaged in a number of independent areas of the upper berth based on the first upper berth constraint and the installation position of each body-in-white, and the first seating conditions are set according to the first upper berth constraint.
[0024] The yield stiffness requirements and material stiffness requirements of the upper berth are determined based on the damage parameters of the upper berth and the material information obtained from the CAE performance analysis.
[0025] Based on the first working condition, the average weight loaded in several independent areas of the upper berth, the yield stiffness requirement of the upper berth, and the material stiffness requirement of the upper berth, a static stress-stiffness analysis working condition for the upper berth is generated.
[0026] Optionally, setting the static stress-stiffness analysis conditions for the upper berth based on the damage parameters of the upper berth and the material information from the CAE performance analysis includes:
[0027] The second upper berth constraint and the installation positions of each body-in-white and the second upper berth constraint are determined based on the damage parameters of the upper berth and the CAE performance analysis material information.
[0028] A separate area for the target upper berth is defined from the upper berth area;
[0029] The loading weights set in the target upper berth independent area and upper berth area according to the second upper berth constraint and the installation positions of each body-in-white, and the rollover condition set according to the upper berth area;
[0030] Based on the rollover condition, the load weight set in the target upper bunk independent area and upper berth area, the yield stiffness requirement of the upper berth, and the material stiffness requirement of the upper berth, a static stress-stiffness analysis condition for the upper berth is generated.
[0031] Optionally, setting the static stress-stiffness analysis conditions for the lower berth based on the lower berth damage parameters and the CAE performance analysis material information includes:
[0032] The lower berth constraints and the installation positions of each body-in-white are determined based on the lower berth damage parameters and the CAE performance analysis material information.
[0033] The lower berth area is divided into several independent lower berth areas;
[0034] The weight is averaged in a number of independent areas of the lower berth based on the lower berth constraints and the installation positions of each body-in-white, and a second seating condition is set according to the lower berth constraints.
[0035] Based on the lower berth damage parameters and the CAE performance analysis material information, set the lower berth yield stiffness requirements and lower berth material stiffness requirements;
[0036] Based on the second working condition, the average weight loaded in several independent areas of the lower berth, the yield stiffness requirement of the lower berth, and the material stiffness requirement of the lower berth, a static stress-stiffness analysis working condition for the lower berth is generated.
[0037] Optionally, the step of analyzing the CAE performance of the sleeper structure based on the static stress-stiffness analysis conditions of the upper berth and the lower berth includes:
[0038] The Hpermesh algorithm was used to train the target sleeper CAE analysis model based on the target 3D digital model and historical sleeper static stress-stiffness analysis data.
[0039] The static stress-stiffness analysis of the upper berth was conducted using the target berth CAE analysis model to obtain the static stress-stiffness performance of the upper berth.
[0040] The static stress-stiffness analysis of the lower berth was conducted using the target berth CAE analysis model to obtain the static stress-stiffness performance of the lower berth.
[0041] The CAE performance of the sleeper structure is obtained based on the static stress-stiffness performance of the upper berth and the static stress-stiffness performance of the lower berth.
[0042] Furthermore, to achieve the above objectives, the present invention also proposes a CAE performance determination device for a sleeper structure, the CAE performance determination device for the sleeper structure comprising:
[0043] The acquisition module is used to acquire damage parameters of the sleeper structure located inside the vehicle;
[0044] The determination module is used to determine CAE performance analysis material information based on the damage parameters of the sleeper structure;
[0045] The setting module is used to set the static stress-stiffness analysis conditions for the upper berth and the lower berth based on the damage parameters of the berth structure.
[0046] The analysis module is used to analyze the CAE performance of the sleeper structure based on the static stress-stiffness analysis conditions of the upper berth and the lower berth.
[0047] Furthermore, to achieve the above objectives, the present invention also proposes a CAE performance determination device for sleeper structures, the CAE performance determination device for sleeper structures comprising: a memory, a processor, and a CAE performance determination program for sleeper structures stored in the memory and executable on the processor, the CAE performance determination program for sleeper structures being configured to implement the CAE performance determination method for sleeper structures as described above.
[0048] Furthermore, to achieve the above objectives, the present invention also proposes a storage medium storing a CAE performance determination program for a sleeper structure, wherein the CAE performance determination program for the sleeper structure, when executed by a processor, implements the CAE performance determination method for the sleeper structure as described above.
[0049] The CAE performance determination method for sleeper berth structures proposed in this invention involves: acquiring damage parameters of the sleeper berth structure located inside the vehicle; determining CAE performance analysis material information based on the damage parameters; setting static stress-stiffness analysis conditions for the upper and lower berths based on the damage parameters and the CAE performance analysis material information; and analyzing the CAE performance of the sleeper berth structure based on these conditions. By determining the CAE performance analysis material based on the damage parameters of the sleeper berth structure located inside the vehicle, and then performing analyses on the set static stress-stiffness analysis conditions for the upper and lower berths respectively, the accuracy of CAE performance analysis of sleeper berth structures can be effectively improved, while reducing development cycle and cost. Attached Figure Description
[0050] Figure 1 This is a schematic diagram of the CAE performance determination device for the sleeper structure of the hardware operating environment involved in the embodiments of the present invention;
[0051] Figure 2 This is a flowchart illustrating the first embodiment of the CAE performance determination method for the sleeper structure of the present invention.
[0052] Figure 3 This is a flowchart illustrating the second embodiment of the CAE performance determination method for the sleeper structure of the present invention.
[0053] Figure 4 This is a schematic diagram of the functional modules of the CAE performance determination device for the sleeper structure of the present invention in the first embodiment.
[0054] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation
[0055] It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.
[0056] Reference Figure 1 , Figure 1 This is a schematic diagram of the CAE performance determination device for the sleeper structure of the hardware operating environment involved in the embodiments of the present invention.
[0057] like Figure 1As shown, the CAE performance determination device for this sleeper structure may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to establish communication between these components. The user interface 1003 may include a display screen and an input unit such as a keyboard; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wireless-Fidelity (Wi-Fi) interface). The memory 1005 may be a high-speed random access memory (RAM) or a stable non-volatile memory (NVM), such as a disk drive. The memory 1005 may also optionally be a storage device independent of the aforementioned processor 1001.
[0058] Those skilled in the art will understand that Figure 1 The structure shown does not constitute a limitation on the CAE performance determination equipment for sleeper structures and may include more or fewer components than shown, or combine certain components, or have different component arrangements.
[0059] like Figure 1 As shown, the memory 1005, which serves as a storage medium, may include an operating system, a network communication module, a user interface module, and a CAE performance determination program for a sleeper structure.
[0060] exist Figure 1 In the CAE performance determination device for the sleeper structure shown, the network interface 1004 is mainly used for data communication with the network integrated platform workstation; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and memory 1005 in the CAE performance determination device for the sleeper structure of the present invention can be set in the CAE performance determination device for the sleeper structure. The CAE performance determination device for the sleeper structure calls the CAE performance determination program for the sleeper structure stored in the memory 1005 through the processor 1001 and executes the CAE performance determination method for the sleeper structure provided in the embodiment of the present invention.
[0061] Based on the above hardware structure, an embodiment of the CAE performance determination method for the sleeper structure of the present invention is proposed.
[0062] Reference Figure 2 , Figure 2 This is a flowchart illustrating the first embodiment of the CAE performance determination method for the sleeper structure of the present invention.
[0063] In the first embodiment, the CAE performance determination method for the sleeper structure includes the following steps:
[0064] Step S10: Obtain the damage parameters of the sleeper structure located inside the vehicle.
[0065] It should be noted that the execution subject in this embodiment is a CAE performance determination device for a sleeper structure, but it can also be other devices that can achieve the same or similar functions, such as a CAE performance controller. This embodiment does not limit this, and in this embodiment, a CAE performance controller is used as an example for explanation.
[0066] It should be understood that damage parameters refer to the parameters after damage occurs to various parts of the sleeper structure, which is located at the front of the vehicle. These damage parameters include parameters such as cracking of the sleeper slab, cracking of the sleeper frame, and deformation and bending of the sleeper skeleton.
[0067] Step S20: Determine the CAE performance analysis material information based on the damage parameters of the sleeper structure.
[0068] It is understood that CAE performance analysis material information refers to the material information used to set the CAE performance analysis conditions. This CAE performance analysis material information includes, but is not limited to, the safe value of the yield strength stress of iron, and the safe value of the tensile strength stress of plastics or wood. The CAE performance analysis conditions include static stress-stiffness analysis conditions and dynamic stress analysis conditions.
[0069] Further, step S20 includes: obtaining material damage parameters based on the damage parameters of the sleeper structure; determining the material to be analyzed based on the material damage parameters, the material to be analyzed including a first material to be analyzed and a second material to be analyzed; performing a safety factor analysis on the first material to be analyzed to obtain a safe value for the yield strength stress; performing a safety factor analysis on the second material to be analyzed to obtain a safe value for the tensile strength stress; and generating CAE performance analysis material information based on the first material to be analyzed, the safe value for the yield strength stress, the second material to be analyzed, and the safe value for the tensile strength stress.
[0070] It should be understood that material damage parameters refer to the damage parameters of materials in various parts of the sleeper structure. For example, cracking of the sleeper board corresponds to wood damage parameters, and cracking of the sleeper frame corresponds to iron damage parameters. Then, the material to be analyzed is determined based on the material damage parameters. The material to be analyzed includes, but is not limited to, iron, plastic, or wood. The first material to be analyzed is iron, and the second material to be analyzed is plastic or wood. Then, a safety factor analysis is performed on the first material to be analyzed to obtain the safe value of the yield strength stress. For example, the safe value of the yield strength stress of iron is greater than or equal to 2. A safety factor analysis is also performed on the second material to be analyzed to obtain the safe value of the tensile strength stress. For example, the safe value of the tensile strength stress is greater than or equal to 2. Then, CAE performance analysis material information is generated based on the first material to be analyzed, the safe value of the yield strength stress, the second material to be analyzed, and the safe value of the tensile strength stress.
[0071] Step S30: Set the static stress-stiffness analysis conditions for the upper berth and the lower berth based on the damage parameters of the sleeper structure and the CAE performance analysis material information.
[0072] It should be understood that the static stress-stiffness analysis case for the upper berth refers to the case in which static stress-stiffness analysis is performed on the upper berth of the sleeper structure. Similarly, the static stress-stiffness analysis case for the lower berth refers to the case in which static stress-stiffness analysis is performed on the lower berth of the sleeper structure. Both the static stress-stiffness analysis cases for the upper and lower berths are set based on the damage parameters of the sleeper structure and the material information from CAE performance analysis.
[0073] Step S40: Analyze the CAE performance of the sleeper structure based on the static stress-stiffness analysis conditions of the upper berth and the lower berth.
[0074] Understandably, CAE performance can be used to assess the static stress-stiffness performance of a sleeper structure. Specifically, after obtaining the static stress-stiffness analysis conditions for the upper and lower sleepers, the CAE performance of the sleeper structure is obtained by analyzing these conditions separately.
[0075] Further, step S40 includes: training a target sleeper CAE analysis model using the Hpermesh algorithm based on historical sleeper berth static stress-stiffness analysis data and historical lower sleeper berth static stress-stiffness analysis data from the target 3D digital model; analyzing the upper sleeper berth static stress-stiffness analysis data using the target sleeper CAE analysis model to obtain the upper sleeper berth static stress-stiffness performance; analyzing the lower sleeper berth static stress-stiffness analysis data using the target sleeper CAE analysis model to obtain the lower sleeper berth static stress-stiffness performance; and obtaining the CAE performance of the sleeper structure based on the upper sleeper berth static stress-stiffness performance and the lower sleeper berth static stress-stiffness performance.
[0076] It should be understood that historically, the static stress-stiffness analysis data for sleeper berths refers to the static stress-stiffness analysis data for the upper sleeper berth of mature models. Similarly, historical static stress-stiffness analysis data for lower sleeper berths refers to the static stress-stiffness analysis data for the lower sleeper berth of mature models. Then, the target sleeper berth CAE analysis model is trained based on the target 3D digital model using the Hpermesh algorithm. When the performance of the target sleeper berth CAE analysis model is greater than the preset performance threshold, the static stress-stiffness analysis of the lower sleeper berth is analyzed separately using the target sleeper berth CAE analysis model to obtain the static stress-stiffness performance of the lower sleeper berth, and the static stress-stiffness analysis of the upper sleeper berth is analyzed to obtain the static stress-stiffness performance of the upper sleeper berth. Then, the CAE performance of the sleeper berth structure is obtained based on the static stress-stiffness performance of the lower and upper sleeper berths. When it is less than the preset performance threshold, the 3D digital model is improved based on the digital model improvement opinions, and the target CAE analysis model is iteratively updated.
[0077] This embodiment obtains damage parameters of the sleeper structure located inside the vehicle; determines CAE performance analysis material information based on the damage parameters; sets up static stress-stiffness analysis conditions for the upper and lower berths based on the damage parameters and the CAE performance analysis material information; and analyzes the CAE performance of the sleeper structure based on these conditions. By determining the CAE performance analysis material based on the damage parameters of the sleeper structure inside the vehicle, and then performing analyses on the set upper and lower berth static stress-stiffness analysis conditions respectively, the accuracy of CAE performance analysis of the sleeper structure can be effectively improved, while reducing development cycle and cost.
[0078] In one embodiment, such as Figure 3 The second embodiment of the CAE performance determination method for the sleeper structure of the present invention, based on the first embodiment, includes step S30, which includes:
[0079] Step S301: Obtain the damage parameters of the upper berth and the lower berth based on the damage parameters of the berth structure.
[0080] It should be understood that the damage parameters of the sleeper structure include parameters when the upper berth is damaged and parameters when the lower berth is damaged, such as cracked wooden boards in the upper berth and cracked supports in the lower berth.
[0081] Step S302: Set the static stress-stiffness analysis conditions for the upper berth based on the damage parameters of the upper berth and the material information from the CAE performance analysis.
[0082] Understandably, after obtaining the damage parameters of the upper berth, the static stress-stiffness analysis conditions of the upper berth are set based on the damage parameters and material information from CAE performance analysis.
[0083] Further, step S302 includes: determining the first upper berth constraint and the installation positions of each body-in-white and the first upper berth constraint based on the upper berth damage parameters and the CAE performance analysis material information; dividing the upper berth area into a number of independent upper berth areas; setting the average weight loaded in the number of independent upper berth areas based on the first upper berth constraint and the installation positions of each body-in-white, and setting the first seating condition based on the first upper berth constraint; determining the upper berth yield stiffness requirement and the upper berth material stiffness requirement based on the upper berth damage parameters and the CAE performance analysis material information; generating the upper berth static stress-stiffness analysis condition based on the first seating condition, the average weight loaded in the number of independent upper berth areas, the upper berth yield stiffness requirement, and the upper berth material stiffness requirement.
[0084] It should be understood that the first set of seating conditions includes, but is not limited to, left-side seating, middle-side seating, right-side seating, and upper berth seating. The left-side, middle-side, and right-side seating conditions are obtained by simulating a person sitting on the upper berth while the vehicle travels on a road with significant vertical bumps. The upper berth seating condition is obtained by simulating a person's upper body supporting themselves on the berth. After obtaining the entire upper berth area, it is divided into several independent upper berth areas, such as the first area, the second area, the third area, and the fourth area. The width of the fourth area can be 400mm, and the average weight loaded in each of the several independent upper berth areas can be: 2*75KG in the Z-direction direction in the first area under the left-side seating condition; and... Under the following conditions: In the second zone, an average Z-axis load of 2*75KG was applied, with the right-side seat and upper berth conditions; in the third zone, an average Z-axis load of 2*75KG was applied, with the upper berth conditions; and in the fourth zone, an average Z-axis load of 75KG was applied. Then, based on the upper berth damage parameters and CAE performance analysis material information, the yield stiffness requirements and material stiffness requirements for the upper berth were determined. For example, the yield stiffness requirement for the upper berth was a safety factor greater than that of a mass-produced mature vehicle model, for example, a safety factor greater than 2. The material stiffness requirements for the upper berth included: for iron, the deformation under stress was less than that of a mass-produced mature vehicle model, for example, a deformation under stress less than 2mm; and for plastic or wood, the deformation under stress was less than that of a mass-produced mature vehicle model, for example, a deformation under stress less than 6mm.
[0085] Further, the step of setting the static stress-stiffness analysis condition for the upper berth based on the upper berth damage parameters and the CAE performance analysis material information includes: determining the second upper berth constraint and the installation positions of each body-in-white and the second upper berth constraint based on the upper berth damage parameters and the CAE performance analysis material information; dividing the upper berth area into a target upper berth independent area; setting the load weight in the target upper berth independent area and the upper berth area respectively based on the second upper berth constraint and the installation positions of each body-in-white; and setting a rollover condition based on the upper berth area; generating the upper berth static stress-stiffness analysis condition based on the rollover condition, the load weight set in the target upper berth independent area and the upper berth area, the upper berth yield stiffness requirement, and the upper berth material stiffness requirement.
[0086] Understandably, the width of the target upper bunk independent area can be 1 / 3 of the length of the entire upper bunk sling. After setting the rollover condition and the installation positions of each body-in-white and the second upper bunk constraint, the load weight in the target upper bunk independent area and the upper bunk area is determined. For example, in the rollover condition, a Z-direction weight of 2*75KG is applied to the upper bunk area and an X-direction weight of 75KG is applied to the target upper bunk independent area. Then, the upper bunk static stress-stiffness analysis condition is generated according to the upper bunk yield stiffness requirement and the upper bunk material stiffness requirement.
[0087] Step S303: Set the static stress-stiffness analysis conditions for the lower berth based on the lower berth damage parameters and the CAE performance analysis material information.
[0088] It should be understood that after obtaining the damage parameters of the lower berth, the static stress-stiffness analysis conditions of the lower berth are set according to the damage parameters of the lower berth and the material information from CAE performance analysis.
[0089] Further, step S303 includes: determining the lower berth constraints and the installation positions of each body-in-white and the lower berth constraints based on the lower berth damage parameters and the CAE performance analysis material information; dividing the lower berth area into a number of independent lower berth areas; setting the average weight loaded in the number of independent lower berth areas based on the lower berth constraints and the installation positions of each body-in-white, and setting a second seating condition based on the lower berth constraints; setting the lower berth yield stiffness requirement and lower berth material stiffness requirement based on the lower berth damage parameters and the CAE performance analysis material information; generating a lower berth static stress-stiffness analysis condition based on the second seating condition, the average weight loaded in the number of independent lower berth areas, the lower berth yield stiffness requirement, and the lower berth material stiffness requirement.
[0090] Understandably, the second seating configuration includes, but is not limited to, left-side seating, middle-side seating, right-side seating, and upper berth footing. The left-side, middle-side, and right-side seating configurations are obtained by simulating a person sitting on the lower berth while the vehicle travels on a road with significant vertical bumps. The lower berth configuration is obtained by simulating a person stepping onto the upper berth. After obtaining the entire upper berth area, it is divided into several independent lower berth areas, such as Area 1, Area 2, Area 3, and Area 4. Then, in the left-side seating configuration, an average Z-axis load of 2*75KG is applied to Area 3; in the middle-side seating configuration, an average Z-axis load of 2*75KG is applied to Area 2. Under the conditions of 5KG weight and right-side sitting, and the upper berth condition, an average Z-direction load of 2*75KG is applied in the first zone. Under the condition of stepping on the upper berth, an average Z-direction load of 75KG is applied in the fourth zone. Then, the yield stiffness requirements and material stiffness requirements of the lower berth are set. For example, the yield stiffness requirement of the lower berth is that the safety factor is greater than that of a mass-produced mature vehicle model, for example, the safety factor is greater than 2. The material stiffness requirements of the lower berth include: the material stiffness requirement of iron is that the deformation under stress is less than that of a mass-produced mature vehicle model, for example, the deformation under stress is less than 2mm; the material stiffness requirement of plastic or wood is that the deformation under stress is less than that of a mass-produced mature vehicle model, for example, the deformation under stress is less than 6mm.
[0091] This embodiment obtains the damage parameters of the upper and lower berths based on the damage parameters of the sleeper structure; sets the static stress-stiffness analysis conditions for the upper berth based on the damage parameters of the upper berth and the CAE performance analysis material information; sets the static stress-stiffness analysis conditions for the lower berth based on the damage parameters of the lower berth and the CAE performance analysis material information. Through this method, after obtaining the damage parameters of the sleeper structure, the damage parameters are divided into upper and lower berth damage parameters. Then, the static stress-stiffness analysis conditions for the upper and lower berths are set based on the upper berth damage parameters, thereby effectively improving the accuracy of setting the analysis conditions for each location.
[0092] Furthermore, this embodiment of the invention also proposes a storage medium storing a CAE performance determination program for a sleeper structure. When the CAE performance determination program for the sleeper structure is executed by a processor, it implements the steps of the CAE performance determination method for the sleeper structure as described above.
[0093] Since this storage medium adopts all the technical solutions of all the above embodiments, it has at least all the beneficial effects brought about by the technical solutions of the above embodiments, which will not be repeated here.
[0094] In addition, refer to Figure 4 This invention also proposes a CAE performance determination device for sleeper berth structures, the CAE performance determination device for sleeper berth structures comprising:
[0095] The acquisition module 10 is used to acquire damage parameters of the sleeper structure located inside the vehicle.
[0096] The determination module 20 is used to determine CAE performance analysis material information based on the damage parameters of the sleeper structure.
[0097] The setting module 30 is used to set the static stress-stiffness analysis conditions for the upper berth and the lower berth based on the damage parameters of the berth structure.
[0098] Analysis module 40 is used to analyze the CAE performance of the sleeper structure based on the static stress-stiffness analysis conditions of the upper berth and the lower berth.
[0099] This embodiment obtains damage parameters of the sleeper structure located inside the vehicle; determines CAE performance analysis material information based on the damage parameters; sets up static stress-stiffness analysis conditions for the upper and lower berths based on the damage parameters and the CAE performance analysis material information; and analyzes the CAE performance of the sleeper structure based on these conditions. By determining the CAE performance analysis material based on the damage parameters of the sleeper structure inside the vehicle, and then performing analyses on the set upper and lower berth static stress-stiffness analysis conditions respectively, the accuracy of CAE performance analysis of the sleeper structure can be effectively improved, while reducing development cycle and cost.
[0100] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of this invention. In practical applications, those skilled in the art can select some or all of the workflow to achieve the purpose of this embodiment according to actual needs, and no restrictions are imposed here.
[0101] In addition, for technical details not described in detail in this embodiment, please refer to the CAE performance determination method of the sleeper structure provided in any embodiment of the present invention, which will not be repeated here.
[0102] Other embodiments or implementation methods of the CAE performance determination device for the sleeper structure described in this invention can be referred to the above-described method embodiments, and will not be repeated here.
[0103] Furthermore, it should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.
[0104] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.
[0105] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as read-only memory (ROM) / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, all-in-one platform workstation, or network device, etc.) to execute the methods described in the various embodiments of the present invention.
[0106] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.
Claims
1. A method for determining the CAE performance of a sleeper berth structure, characterized in that, The method for determining the CAE performance of the sleeper structure includes the following steps: Obtain damage parameters of the sleeper structure located inside the vehicle; Determine CAE performance analysis material information based on the damage parameters of the sleeper structure; The process of determining CAE performance analysis material information based on the damage parameters of the sleeper structure includes: Material damage parameters are obtained based on the damage parameters of the sleeper structure. The material to be analyzed is determined based on the material damage parameters. The material to be analyzed includes a first material to be analyzed and a second material to be analyzed, wherein the first material to be analyzed is iron and the second material to be analyzed is plastic or wood. A safety factor analysis was performed on the first material to be analyzed to obtain the safety value of the yield limit stress. A safety factor analysis was performed on the second material to be analyzed to obtain the safety value of the tensile ultimate stress. CAE performance analysis material information is generated based on the first material to be analyzed, the safe value of yield strength stress, the second material to be analyzed, and the safe value of tensile strength stress. Based on the damage parameters of the sleeper structure and the material information from the CAE performance analysis, set the static stress-stiffness analysis conditions for the upper sleeper and the lower sleeper. The CAE performance of the sleeper structure was analyzed based on the static stress-stiffness analysis conditions of the upper berth and the lower berth.
2. The CAE performance determination method for sleeper structures as described in claim 1, characterized in that, The step of setting static stress-stiffness analysis conditions for the upper berth and the lower berth based on the damage parameters of the berth structure and the material information from the CAE performance analysis includes: Based on the damage parameters of the sleeper structure, the damage parameters of the upper sleeper and the lower sleeper are obtained; Based on the damage parameters of the upper berth and the material information from the CAE performance analysis, set the static stress-stiffness analysis conditions for the upper berth; Based on the lower berth damage parameters and the CAE performance analysis material information, set the static stress-stiffness analysis conditions for the lower berth.
3. The CAE performance determination method for sleeper structures as described in claim 2, characterized in that, The step of setting the static stress-stiffness analysis conditions for the upper berth based on the damage parameters of the upper berth and the material information from the CAE performance analysis includes: Based on the damage parameters of the upper berth and the CAE performance analysis material information, determine the constraints of the first upper berth and the installation positions of each body-in-white and the constraints of the first upper berth. The upper sleeper area is divided into several independent upper sleeper areas; The weight is averaged in a number of independent areas of the upper berth based on the first upper berth constraint and the installation position of each body-in-white, and the first seating conditions are set according to the first upper berth constraint. The yield stiffness requirements and material stiffness requirements of the upper berth are determined based on the damage parameters of the upper berth and the material information obtained from the CAE performance analysis. Based on the first working condition, the average weight loaded in several independent areas of the upper berth, the yield stiffness requirement of the upper berth, and the material stiffness requirement of the upper berth, a static stress-stiffness analysis working condition for the upper berth is generated.
4. The CAE performance determination method for sleeper structures as described in claim 3, characterized in that, The step of setting the static stress-stiffness analysis conditions for the upper berth based on the damage parameters of the upper berth and the material information from the CAE performance analysis includes: The second upper berth constraint and the installation positions of each body-in-white and the second upper berth constraint are determined based on the damage parameters of the upper berth and the CAE performance analysis material information. A separate area for the target upper berth is defined from the upper berth area; The loading weights set in the target upper berth independent area and upper berth area according to the second upper berth constraint and the installation positions of each body-in-white, and the rollover condition set according to the upper berth area; Based on the rollover condition, the load weight set in the target upper bunk independent area and upper berth area, the yield stiffness requirement of the upper berth, and the material stiffness requirement of the upper berth, a static stress-stiffness analysis condition for the upper berth is generated.
5. The CAE performance determination method for a sleeper structure as described in claim 2, characterized in that, The step of setting the static stress-stiffness analysis conditions for the lower berth based on the lower berth damage parameters and the CAE performance analysis material information includes: The lower berth constraints and the installation positions of each body-in-white are determined based on the lower berth damage parameters and the CAE performance analysis material information. The lower berth area is divided into several independent lower berth areas; The weight is averaged in a number of independent areas of the lower berth based on the lower berth constraints and the installation positions of each body-in-white, and a second seating condition is set according to the lower berth constraints. Based on the lower berth damage parameters and the CAE performance analysis material information, set the lower berth yield stiffness requirements and lower berth material stiffness requirements; Based on the second working condition, the average weight loaded in several independent areas of the lower berth, the yield stiffness requirement of the lower berth, and the material stiffness requirement of the lower berth, a static stress-stiffness analysis working condition for the lower berth is generated.
6. The CAE performance determination method for a sleeper structure as described in any one of claims 1 to 5, characterized in that, The CAE performance analysis of the sleeper structure based on the static stress-stiffness analysis conditions of the upper berth and the lower berth includes: The Hpermesh algorithm was used to train the target sleeper CAE analysis model based on the target 3D digital model and historical sleeper static stress-stiffness analysis data. The static stress-stiffness analysis of the upper berth was conducted using the target berth CAE analysis model to obtain the static stress-stiffness performance of the upper berth. The static stress-stiffness analysis of the lower berth was conducted using the target berth CAE analysis model to obtain the static stress-stiffness performance of the lower berth. The CAE performance of the sleeper structure is obtained based on the static stress-stiffness performance of the upper berth and the static stress-stiffness performance of the lower berth.
7. A CAE performance determination device for a sleeper structure, characterized in that, The CAE performance determination device for the sleeper structure includes: The acquisition module is used to acquire damage parameters of the sleeper structure located inside the vehicle; The determination module is used to determine CAE performance analysis material information based on the damage parameters of the sleeper structure; The determining module is further configured to obtain material damage parameters based on the damage parameters of the sleeper structure; determine the material to be analyzed based on the material damage parameters, the material to be analyzed including a first material to be analyzed and a second material to be analyzed, wherein the first material to be analyzed is iron, and the second material to be analyzed is plastic or wood; perform a safety factor analysis on the first material to be analyzed to obtain a safe value for the yield strength stress; perform a safety factor analysis on the second material to be analyzed to obtain a safe value for the tensile strength stress; and generate CAE performance analysis material information based on the first material to be analyzed, the safe value for the yield strength stress, the second material to be analyzed, and the safe value for the tensile strength stress. The setting module is used to set the static stress-stiffness analysis conditions for the upper berth and the lower berth based on the damage parameters of the berth structure. The analysis module is used to analyze the CAE performance of the sleeper structure based on the static stress-stiffness analysis conditions of the upper berth and the lower berth.
8. A CAE performance determination device for a sleeper berth structure, characterized in that, The CAE performance determination device for the sleeper structure includes: a memory, a processor, and a CAE performance determination program for the sleeper structure stored in the memory and executable on the processor. The CAE performance determination program for the sleeper structure is configured to implement the CAE performance determination method for the sleeper structure as described in any one of claims 1 to 6.
9. A storage medium, characterized in that, The storage medium stores a CAE performance determination program for a sleeper structure, which, when executed by a processor, implements the CAE performance determination method for a sleeper structure as described in any one of claims 1 to 6.
Citation Information
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