CN114936417A - Precompression analysis model construction method and system, readable storage medium and computer - Google Patents

Abstract

The present invention provides a method, system, readable storage medium and computer for constructing a preload analysis model. The method includes: using a simulation model to perform CAE preload analysis on each key component of a vehicle to be tested, so as to obtain first analysis data and second Analyze the data; determine whether the second analysis data meets the preset requirements; if the second analysis data does not meet the preset requirements, optimize each key component according to the first analysis data, the second analysis data and the data table to obtain multiple optimized The key components of the Each optimized key component builds a preload analysis model of the vehicle to be tested. The invention reduces the consumption of manpower and material resources, and at the same time adapts various vehicle types through the preload analysis model, thereby further reducing the waste of resources.

Description

Preload analysis model construction method, system, readable storage medium and computer

technical field

The present invention relates to the technical field of data processing, and in particular, to a method, system, readable storage medium and computer for constructing a preload analysis model.

Background technique

With the rapid development of the automobile industry and the improvement of people's living standards, automobiles have become an indispensable part of people's lives. Therefore, more and more people have begun to pay attention to the safety performance of automobiles.

The car body is the main load-bearing part of the car, and the compressive strength of the roof plate of the car body determines the safety performance of the car, and the current regulations require that the plate loading force of the roof plate of the car body is 3 times the curb weight of the whole vehicle, and the maximum can not exceed 60000N, and The roof of the car body needs to be loaded on both sides; for the heavier model, the height of the car body is higher than that of a family car, and the compressive and bending resistance of the roof plate for the car body is relatively poor. The preload analysis of the top plate cannot be designed for all car models, which leads to the consumption of a lot of manpower and material resources in the design of the top plate of the car body, resulting in a waste of resources.

SUMMARY OF THE INVENTION

Based on this, the purpose of the present invention is to provide a method, system, readable storage medium and computer for constructing a preload analysis model, so as to at least solve the deficiencies in the above technologies.

The present invention provides a method for constructing a preload analysis model, including:

Perform CAE preload analysis on each key component of the vehicle to be tested by using a preset simulation model to obtain first analysis data and second analysis data of each of the key components;

judging whether the second analysis data meets the preset requirements;

If the second analysis data does not meet the preset requirements, each of the key components is optimized according to the first analysis data, the second analysis data and the preset data table, so as to obtain a plurality of optimized key components part;

Perform CAE preload analysis on each of the optimized key components again by using the simulation model to obtain third analysis data of each of the optimized key components, and determine whether the third analysis data conforms to the preload set requirements;

If the third analysis data meets the preset requirements, a preload analysis model of the vehicle to be tested is constructed according to each of the optimized key components.

Further, before the step of performing CAE preload analysis on each key component of the vehicle to be tested, the method further includes:

Acquiring multiple CAD models of the standard vehicle in the design stage, and performing mesh division on each of the CAD models in finite element software to construct multiple finite element models of the standard vehicle;

The finite element models are combined to obtain a simulation model of the standard vehicle.

Further, before the step of judging whether the second analysis data meets the preset requirements, the method further includes:

Acquire multiple components of the standard vehicle and component parameters corresponding to each of the components, and analyze the bearing capacity of each of the components in turn to obtain the bearing capacity data of each of the components;

A mapping relationship is constructed between each of the component parameters and each of the bearing capacity data to generate a corresponding data table.

Further, after the step of judging whether the third analysis data meets the preset requirements, the method further includes:

If the third analysis data does not meet the preset requirements, the step of optimizing each of the key components is re-executed according to the third analysis data and the preset data table, until the optimized key components have passed the preset requirements. The data after pressure analysis meets the preset requirements.

Further, the key components include the A-pillar of the vehicle to be tested, the B-pillar of the vehicle to be tested, the C-pillar of the vehicle to be tested, the roof rail of the vehicle to be tested, and the The second roof rail of the vehicle.

The present invention also proposes a preload analysis model construction system, including:

a first preload analysis module, configured to perform CAE preload analysis on each key component of the vehicle to be tested by using a preset simulation model, so as to obtain first analysis data and second analysis data of each of the key components;

a first judging module for judging whether the second analysis data meets preset requirements;

The first optimization module is configured to optimize each of the key components according to the first analysis data, the second analysis data and the preset data table if the second analysis data does not meet the preset requirements, so as to Get multiple optimized key components;

The second preload analysis module is used to perform CAE preload analysis again on each of the optimized key components by using the simulation model, so as to obtain third analysis data of each of the optimized key components, and to determine the Whether the third analysis data meets the preset requirements;

A construction module, configured to construct a preload analysis model of the vehicle to be tested according to each of the optimized key components if the third analysis data meets the preset requirements.

Further, the system also includes:

a first acquisition module, configured to acquire multiple CAD models of the standard vehicle in the design stage, and perform mesh division on each of the CAD models in finite element software, so as to construct multiple finite element models of the standard vehicle;

The combination module is used for combining the finite element models to obtain the simulation model of the standard vehicle.

Further, the system also includes:

The second acquisition module is used to acquire a plurality of components of the standard vehicle and the component parameters corresponding to each of the components, and to analyze the bearing capacity of each of the components in turn, so as to obtain the bearing capacity data of each of the components;

The generating module is configured to construct a mapping relationship between each of the component parameters and each of the bearing capacity data to generate a corresponding data table.

Further, the system also includes:

A cycle module, configured to re-execute the step of optimizing each of the key components according to the third analysis data and the preset data table, if the third analysis data does not meet the preset requirements, until the optimized The data of the key components after the preload analysis meets the preset requirements.

The present invention also provides a readable storage medium on which a computer program is stored, and when the program is executed by a processor, the above-mentioned method for constructing a preload analysis model is implemented.

The present invention also provides a computer, comprising a memory, a processor, and a computer program stored on the memory and running on the processor, and the processor implements the above-mentioned preload analysis model when the processor executes the computer program build method.

The preload analysis model construction method, system, readable storage medium and computer in the present invention perform CAE preload analysis on each key part of the vehicle to be tested. When the obtained analysis data does not meet the requirements, according to the obtained analysis Data and preset data sheets are used to optimize each key component to obtain the optimized key components, and then perform CAE preload analysis on the optimized key components until the optimized key components meet the requirements. The preload analysis model corresponding to the vehicle to be tested is constructed; the design of the roof plate for the body can be directly calculated by the preload analysis model, which further reduces the consumption of manpower and material resources, and at the same time, the preload analysis model is used to adapt to various types of vehicles , further reducing the waste of resources.

Description of drawings

1 is a flowchart of a method for constructing a preload analysis model in a first embodiment of the present invention;

2 is a flowchart of a method for constructing a preload analysis model in a second embodiment of the present invention;

3 is a structural block diagram of a preload analysis model building system in a third embodiment of the present invention;

FIG. 4 is a structural block diagram of a computer in a fourth embodiment of the present invention.

Description of main component symbols:

memory 10 Judgment module 12 processor 20 The first optimization module 13 Computer program 30 The second preload analysis module 14 The first preload analysis module 11 building blocks 15

The following specific embodiments will further illustrate the present invention in conjunction with the above drawings.

Detailed ways

In order to facilitate understanding of the present invention, the present invention will be described more fully hereinafter with reference to the related drawings. Several embodiments of the invention are presented in the accompanying drawings. However, the present invention may be embodied in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.

It should be noted that when an element is referred to as being "fixed to" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and similar expressions are used herein for illustrative purposes only.

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terms used herein in the description of the present invention are for the purpose of describing specific embodiments only, and are not intended to limit the present invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.

Example 1

Please refer to FIG. 1, which shows a method for constructing a preload analysis model in the first embodiment of the present invention, and the method specifically includes steps S101 to S105:

S101, using a preset simulation model to perform CAE preload analysis on each key component of the vehicle to be tested, to obtain first analysis data and second analysis data of each of the key components;

In the specific implementation, various types of vehicle data are obtained according to the simulation experiment, and a simulation model is constructed from the various types of vehicle data, and the simulation model includes various types of vehicle data; each key component of the vehicle to be tested is obtained. and input the data of each key component into the simulation model for CAE preload analysis, set the keyword *DATABASE_CROSS_SECTION_PLANE in the force transmission path between the key components in the simulation model, and output the cross section of each key component Force, the force transmission path is: 1: A column, 2: The first ceiling beam, 3: B column, 4: The BC column section of the upper sill of the side wall, 5: C column, 6: The second ceiling beam, 7 : The first roof beam, 8 The second roof beam, 9: The third roof beam and other parts. Set the keyword *INTERFACE_COMPONENT_NODE and the keyword *INTERFACE_COMPONENT_FILE to the position of the lap joint at the upper end of the B-pillar and the lap joint at the lower end of the B-pillar to output the NODE node time-displacement history result file; at the same time, the CAE preload analysis calculation result outputs the corresponding support reaction of the top plate. force;

S102, judging whether the second analysis data meets a preset requirement;

In the specific implementation, the support reaction force of the top pressing plate is extracted, and it is judged whether the support reaction force meets the preset requirement (in this embodiment, the preset requirement is 3 times the curb weight of the vehicle), if The reaction force meets the preset requirements, which means that the structure of each key component of the vehicle to be tested is normal, and a preload analysis model of the vehicle to be tested is constructed according to each key component, so that subsequent vehicles of this type can pass through the test vehicle. The preload analysis model verifies whether the structure of its key components meets the requirements.

S103, if the second analysis data does not meet the preset requirements, optimize each of the key components according to the first analysis data, the second analysis data and the preset data table, so as to obtain multiple optimized key components;

In the specific implementation, if the support reaction force does not meet the preset requirements, then extract the cross-sectional force of each key component in the above-mentioned force transmission path, and use the preset data table, the cross-sectional force of each key component, and the support and reaction force above. Each key component is optimized according to the percentage experience value to obtain multiple optimized key components.

It should be noted that, in this embodiment, the preset data table may be a data table of the ratio of the bearing capacity to the total force value that each component of each type of vehicle needs to bear when subjected to force. It can also be obtained from the simulation experiments and mathematical calculations of the vehicles of various types; it can also be the standard data sheet of each component of various types of vehicles, which is provided by the manufacturer when the vehicles of various types of vehicles leave the factory; of course, in some optional embodiments, the preset The data sheet can also be other data sheets that can identify the abnormality of the key components of the vehicle to be tested.

S104: Perform CAE preload analysis again on each of the optimized key components by using the simulation model, to obtain third analysis data of each of the optimized key components, and determine whether the third analysis data complies with all the optimized key components. the preset requirements;

In specific implementation, the above-mentioned simulation model is used to perform CAE preload analysis again on the above-mentioned optimized key components to obtain the output force of each optimized key component. In this embodiment, the B-pillar is used as an example to describe in detail: The B-pillar model intercepted by the whole vehicle is used to establish the B-pillar strength design sub-model. Through the keyword *INTERFACE_LINKING_EDGE, the input is driven by the boundary of the B-pillar upper lap joint and the B-pillar lower lap joint output in the above steps; output through the keyword *DATABASE_CROSS_SECTION_PLANE B-pillar section force. The above-mentioned sub-model is used to design variables such as structural size, structural shape, part material thickness, and part material grade, so as to improve the bearing performance of the B-pillar and meet the bearing requirements of the above preset data table planning, which will meet the above preset data table. The components required to carry the load are input into the above-mentioned simulation model for CAE preload analysis to obtain the output force of the component, and determine whether the output force meets the above-mentioned preset requirements.

S105 , if the third analysis data meets the preset requirements, construct a preload analysis model of the vehicle to be tested according to each of the optimized key components.

During specific implementation, if the output force meets the above-mentioned preset requirements, it means that each optimized key component meets the standard, and each optimized key component is used to construct a preload analysis model of the vehicle to be tested, so that subsequent For other vehicles to be tested, the preload analysis model can be used to complete the verification.

To sum up, in the method for constructing a preload analysis model in the above-mentioned embodiments of the present invention, CAE preload analysis is performed on each key part of the vehicle to be tested. Set the data sheet to optimize each key component to obtain the optimized key component, and then perform CAE preload analysis on the optimized key component until the optimized key component meets the requirements, and build the to-be-to-be based on the key components that meet the requirements. The preload analysis model corresponding to the vehicle is measured; the design of the roof plate for the body can be directly calculated by the preload analysis model, which further reduces the consumption of manpower and material resources. Waste of small resources.

Embodiment 2

Please refer to FIG. 2 , which shows a method for constructing a preload analysis model in the second embodiment of the present invention. The method specifically includes steps S201 to S210:

S201, acquiring multiple CAD models of a standard vehicle in the design stage, and performing mesh division on each of the CAD models in finite element software to construct multiple finite element models of the standard vehicle;

In the specific implementation, by obtaining multiple CAD models of sheet metal parts such as the body-in-white and doors of the standard vehicle in the design stage, and then meshing each CAD model through finite element software, to construct multiple CAD models of the standard vehicle A finite element model, in this embodiment, the standard vehicles are various types of standard vehicles, and are not limited to a certain type of vehicle.

S202, combining the finite element models to obtain a simulation model of the standard vehicle;

In the specific implementation, the vehicle data is obtained by performing a simulation experiment on the above-mentioned standard vehicle, and the obtained multiple finite element models are combined with the vehicle data to construct a simulation model of the standard vehicle. It can be understood that in this The simulation model contains various types of vehicle data.

S203, using the simulation model to perform CAE preload analysis on each key component of the vehicle to be tested, to obtain first analysis data and second analysis data of each of the key components;

In the specific implementation, the data of each key component of the vehicle to be tested is obtained, and the data of each key component is input into the simulation model for CAE preload analysis, and the force transmission path between the key components in the simulation model Set the keyword *DATABASE_CROSS_SECTION_PLANE, and output the section force of each key component. The force transmission path is: 1: A column, 2: The first ceiling beam, 3: B column, 4: BC column section on the side wall upper sill, 5 : C-pillar, 6: Second roof beam, 7: First roof beam, 8: Second roof beam, 9: Third roof beam and other parts. Set the keyword *INTERFACE_COMPONENT_NODE and the keyword *INTERFACE_COMPONENT_FILE to the position of the lap joint at the upper end of the B-pillar and the lap joint at the lower end of the B-pillar to output the NODE node time-displacement history result file; at the same time, the CAE preload analysis calculation result outputs the corresponding support reaction of the top plate. force;

S204, acquiring a plurality of components of the standard vehicle and component parameters corresponding to each of the components, and performing a bearing capacity analysis on each of the components in turn to obtain bearing capacity data of each of the components;

During specific implementation, a plurality of components of the standard vehicle and the component parameters corresponding to each component are acquired, and the bearing capacity analysis of each component is performed in turn to obtain bearing capacity data of each component.

S205, building a mapping relationship between each of the component parameters and each of the bearing capacity data to generate a corresponding data table;

In specific implementation, a mapping relationship is constructed between the bearing capacity data of each component obtained above and the parameters of each component, and the ratio of the bearing capacity of each component to the standard vehicle under stress creates a data table of the standard vehicle. Please refer to the table below for load capacity data sheets for selected components:

NO Part Name Bearing capacity (%) 1 A-pillar 20% 2 The first ceiling beam 40% 3 B pillar 60% 4 Side wall upper sill BC column section 30% 5 C-pillar 30% 6 Second ceiling beam 30% 7 first roof beam 20% 8 second ceiling beam 15% 9 third ceiling beam 5%

It should be noted that, in this embodiment, the data table is a data table of the ratio of the bearing capacity to the total force value that each component of each type of vehicle needs to bear when subjected to force. It can also be obtained from simulation experiments and mathematical calculations; it can also be a standard data sheet for each component of various types of vehicles, which is provided by the manufacturer when the vehicle leaves the factory; of course, in some optional embodiments, the preset data sheet It can also be other data sheets that can identify the abnormality of the key components of the vehicle under test.

S206, judging whether the second analysis data meets preset requirements;

In the specific implementation, the support reaction force of the top pressing plate is extracted, and it is judged whether the support reaction force meets the preset requirement (in this embodiment, the preset requirement is 3 times the curb weight of the vehicle), if The reaction force meets the preset requirements, which means that the structure of each key component of the vehicle to be tested is normal, and a preload analysis model of the vehicle to be tested is constructed according to each key component, so that subsequent vehicles of this type can pass through the test vehicle. The preload analysis model verifies whether the structure of its key components meets the requirements.

S207, if the second analysis data does not meet the preset requirements, optimize each of the key components according to the first analysis data, the second analysis data and the preset data table, so as to obtain multiple optimized key components;

In the specific implementation, if the reaction force does not meet the preset requirements, the section force of each key component in the above-mentioned force transmission path is extracted, and the section force of each key component is obtained through the above-mentioned data table, the section force of each key component and the above-mentioned The supporting reaction force optimizes each key component according to the percentage experience value, so as to obtain multiple optimized key components.

S208: Perform CAE preload analysis again on each of the optimized key components by using the simulation model to obtain third analysis data of each of the optimized key components, and determine whether the third analysis data conforms to all the optimized key components. the preset requirements;

In specific implementation, the above-mentioned simulation model is used to perform CAE preload analysis again on the above-mentioned optimized key components to obtain the output force of each optimized key component. In this embodiment, the B-pillar is used as an example to describe in detail: The B-pillar model intercepted by the whole vehicle is used to establish the B-pillar strength design sub-model. Through the keyword *INTERFACE_LINKING_EDGE, the input is driven by the boundary of the B-pillar upper lap joint and the B-pillar lower lap joint output in the above steps; output through the keyword *DATABASE_CROSS_SECTION_PLANE B-pillar section force. The above-mentioned sub-model is used to design variables such as structural size, structural shape, part material thickness, and part material grade, so as to improve the bearing performance of the B-pillar and meet the bearing requirements of the above preset data table planning, which will meet the above preset data table. The components required to carry the load are input into the above-mentioned simulation model for CAE preload analysis to obtain the output force of the component, and determine whether the output force meets the above-mentioned preset requirements.

S209, if the third analysis data meets the preset requirements, construct a preload analysis model of the vehicle to be tested according to each of the optimized key components;

S210, if the third analysis data does not meet the preset requirements, re-execute the step of optimizing each of the key components according to the third analysis data and the preset data table, until the optimized key components are The data after preload analysis meets the preset requirements.

During specific implementation, if the output force meets the above-mentioned preset requirements, it means that each optimized key component meets the standard, and each optimized key component is used to construct a preload analysis model of the vehicle to be tested, so that subsequent For other vehicles to be tested, the preload analysis model can be used to complete the verification.

To sum up, in the method for constructing a preload analysis model in the above-mentioned embodiments of the present invention, CAE preload analysis is performed on each key part of the vehicle to be tested. Set the data sheet to optimize each key component to obtain the optimized key component, and then perform CAE preload analysis on the optimized key component until the optimized key component meets the requirements, and build the to-be-to-be based on the key components that meet the requirements. The preload analysis model corresponding to the vehicle is measured; the design of the roof plate for the body can be directly calculated by the preload analysis model, which further reduces the consumption of manpower and material resources. Waste of small resources.

Embodiment 3

Another aspect of the present invention also proposes a preload analysis model construction system, please refer to FIG. 3 , which shows the preload analysis model construction system in the third embodiment of the present invention, including:

The first preload analysis module 11 is used to perform CAE preload analysis on each key component of the vehicle to be tested by using a preset simulation model, so as to obtain first analysis data and second analysis data of each of the key components;

a first judging module 12, configured to judge whether the second analysis data meets the preset requirements;

The first optimization module 13 is configured to optimize each of the key components according to the first analysis data, the second analysis data and the preset data table if the second analysis data does not meet the preset requirements, to obtain multiple optimized key components;

The second preload analysis module 14 is configured to perform CAE preload analysis again on each of the optimized key components by using the simulation model, so as to obtain third analysis data of each of the optimized key components, and to determine all the optimized key components. whether the third analysis data meets the preset requirements;

The building module 15 is configured to build a preload analysis model of the vehicle to be tested according to each of the optimized key components if the third analysis data meets the preset requirements.

In some optional embodiments, the system further includes:

a first acquisition module, configured to acquire multiple CAD models of the standard vehicle in the design stage, and perform mesh division on each of the CAD models in finite element software, so as to construct multiple finite element models of the standard vehicle;

The combination module is used for combining the finite element models to obtain the simulation model of the standard vehicle.

In some optional embodiments, the system further includes:

The second acquisition module is used to acquire a plurality of components of the standard vehicle and the component parameters corresponding to each of the components, and to analyze the bearing capacity of each of the components in turn, so as to obtain the bearing capacity data of each of the components;

The generating module is configured to construct a mapping relationship between each of the component parameters and each of the bearing capacity data to generate a corresponding data table.

In some optional embodiments, the system further includes:

A cycle module, configured to re-execute the step of optimizing each of the key components according to the third analysis data and the preset data table, if the third analysis data does not meet the preset requirements, until the optimized The data of the key components after the preload analysis meets the preset requirements.

The functions or operation steps implemented by the foregoing modules and units when executed are substantially the same as those in the foregoing method embodiments, and will not be repeated here.

The preload analysis model construction system provided by the embodiment of the present invention has the same implementation principle and technical effect as the foregoing method embodiment. For the sake of brief description, for the part not mentioned in the system embodiment, reference may be made to the foregoing method embodiment. corresponding content.

Embodiment 4

The present invention also proposes a computer, please refer to FIG. 4 , which shows a computer in a fourth embodiment of the present invention, including a memory 10 , a processor 20 , and a computer stored on the memory 10 and available on the processor 20 The running computer program 30, when the processor 20 executes the computer program 30, implements the above-mentioned method for constructing a preload analysis model.

The memory 10 includes at least one type of readable storage medium, including flash memory, hard disk, multimedia card, card-type memory (eg, SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, and the like. The memory 10 may in some embodiments be an internal storage unit of a computer, such as a hard disk of the computer. In other embodiments, the memory 10 may also be an external storage device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card (Flash Card), and the like. Further, the memory 10 may also include both an internal storage unit of the computer and an external storage device. The memory 10 can be used not only to store application software installed in the computer and various types of data, but also to temporarily store data that has been output or will be output.

In some embodiments, the processor 20 may be an electronic control unit (Electronic Control Unit, ECU for short, also known as a trip computer), a central processing unit (Central Processing Unit, CPU), a controller, a microcontroller, a microprocessor or Other data processing chips are used to run program codes or process data stored in the memory 10, such as executing access restriction programs and the like.

It should be pointed out that the structure shown in FIG. 4 does not constitute a limitation on the computer. In other embodiments, the computer may include fewer or more components than the one shown in the figure, or combine some components, or different components layout.

An embodiment of the present invention also provides a readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the above-mentioned method for constructing a preload analysis model is implemented.

Those skilled in the art will appreciate that logic and/or steps represented in flowcharts or otherwise described herein, for example, may be considered an ordered listing of executable instructions for implementing logical functions, may be embodied in in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device), or Used in conjunction with these instruction execution systems, apparatus or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport the program for use by or in connection with an instruction execution system, apparatus, or apparatus.

More specific examples (non-exhaustive list) of computer readable media include the following: electrical connections with one or more wiring (electronic devices), portable computer disk cartridges (magnetic devices), random access memory (RAM), Read Only Memory (ROM), Erasable Editable Read Only Memory (EPROM or Flash Memory), Fiber Optic Devices, and Portable Compact Disc Read Only Memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program may be printed, as the paper or other medium may be optically scanned, for example, followed by editing, interpretation, or other suitable medium as necessary process to obtain the program electronically and then store it in computer memory.

It should be understood that various parts of the present invention may be implemented in hardware, software, firmware or a combination thereof. In the above-described embodiments, various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented by any one or a combination of the following techniques known in the art: Discrete logic circuits, application specific integrated circuits with suitable combinational logic gates, Programmable Gate Arrays (PGA), Field Programmable Gate Arrays (FPGA), etc.

The technical features of the above-described embodiments can be combined arbitrarily. For the sake of brevity, all possible combinations of the technical features in the above-described embodiments are not described. However, as long as there is no contradiction between the combinations of these technical features, All should be regarded as the scope described in this specification.

The above-mentioned embodiments only represent several embodiments of the present application, and the descriptions thereof are specific and detailed, but should not be construed as a limitation on the scope of the invention patent. It should be pointed out that for those skilled in the art, without departing from the concept of the present application, several modifications and improvements can be made, which all belong to the protection scope of the present application. Therefore, the scope of protection of the patent of the present application shall be subject to the appended claims.

Claims (10)

1. A method for constructing a precompression analysis model is characterized by comprising the following steps:

performing CAE pre-pressing analysis on each key component of the vehicle to be tested by using a preset simulation model to obtain first analysis data and second analysis data of each key component;

judging whether the second analysis data meets a preset requirement or not;

if the second analysis data do not meet the preset requirements, optimizing each key component according to the first analysis data, the second analysis data and a preset data table to obtain a plurality of optimized key components;

performing CAE pre-pressing analysis on each optimized key component by using the simulation model again to obtain third analysis data of each optimized key component, and judging whether the third analysis data meets the preset requirement;

and if the third analysis data meet the preset requirements, constructing a pre-compression analysis model of the vehicle to be tested according to each optimized key component.

2. The preload analysis model building method according to claim 1, wherein before the step of CAE preload analysis of each key component of the vehicle under test, the method further comprises:

acquiring a plurality of CAD models of a standard vehicle in a design stage, and meshing each CAD model in finite element software to construct a plurality of finite element models of the standard vehicle;

and combining the finite element models to obtain a simulation model of the standard vehicle.

3. The method for building a precompression analysis model as claimed in claim 1, wherein before the step of determining whether the second analysis data meets a preset requirement, the method further comprises:

acquiring a plurality of components of a standard vehicle and component parameters corresponding to the components, and sequentially analyzing the bearing capacity of the components to obtain the bearing capacity data of the components;

and constructing a mapping relation between each component parameter and each bearing capacity data to generate a corresponding data table.

4. The modeling method of analyzing preload according to claim 1, wherein after the step of determining whether the third analysis data meets the preset requirement, the method further comprises:

and if the third analysis data do not meet the preset requirement, re-executing the step of optimizing each key component according to the third analysis data and a preset data table until the data of the optimized key components subjected to pre-pressing analysis meet the preset requirement.

5. The method for building a pre-compaction analysis model according to claim 1, wherein the key components include an a-pillar of the vehicle to be tested, a B-pillar of the vehicle to be tested, a C-pillar of the vehicle to be tested, a roof upright of the vehicle to be tested, and a second roof cross-member of the vehicle to be tested.

6. A pre-compaction analysis model building system, comprising:

the device comprises a first pre-pressing analysis module, a second pre-pressing analysis module and a third pre-pressing analysis module, wherein the first pre-pressing analysis module is used for performing CAE pre-pressing analysis on each key component of a vehicle to be tested by using a preset simulation model so as to obtain first analysis data and second analysis data of each key component;

the first judgment module is used for judging whether the second analysis data meets the preset requirement or not;

the first optimization module is used for optimizing each key component according to the first analysis data, the second analysis data and a preset data table to obtain a plurality of optimized key components if the second analysis data do not meet preset requirements;

the second pre-pressing analysis module is used for performing CAE pre-pressing analysis on each optimized key component by using the simulation model again to obtain third analysis data of each optimized key component and judging whether the third analysis data meets the preset requirement or not;

and the building module is used for building a pre-compression analysis model of the vehicle to be tested according to each optimized key component if the third analysis data meets the preset requirement.

7. The preload analysis model building system according to claim 6, further comprising:

the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring a plurality of CAD models of a standard vehicle in a design stage and meshing the CAD models in finite element software to construct a plurality of finite element models of the standard vehicle;

and the combination module is used for combining the finite element models to obtain the simulation model of the standard vehicle.

8. The preload analysis model building system according to claim 6, further comprising:

the second acquisition module is used for acquiring a plurality of components of a standard vehicle and component parameters corresponding to the components, and sequentially carrying out bearing capacity analysis on the components to obtain bearing capacity data of the components;

and the generating module is used for constructing a mapping relation between each component parameter and each bearing capacity data so as to generate a corresponding data table.

9. A readable storage medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the preload analysis model construction method according to any one of claims 1 to 5.

10. A computer comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the preload analysis model construction method according to any one of claims 1 to 5 when executing the computer program.

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