CN114936417A - Precompression analysis model construction method and system, readable storage medium and computer - Google Patents
Precompression analysis model construction method and system, readable storage medium and computer Download PDFInfo
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Abstract
The invention provides a method and a system for constructing a precompression analysis model, a readable storage medium and a computer, wherein the method comprises the following steps: performing CAE pre-pressing analysis on each key part of the vehicle to be tested by using the simulation model to obtain first analysis data and second analysis data; judging whether the second analysis data meet the preset requirements 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 the 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, and judging whether the third analysis data meets the preset requirement; and if the third analysis data meet the preset requirements, constructing a pre-pressing analysis model of the vehicle to be tested according to the optimized key components. The invention reduces the consumption of manpower and material resources, and simultaneously adapts to various vehicle types through the prepressing analysis model, thereby further reducing the waste of resources.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a method and a system for constructing a precompression analysis model, a readable storage medium and a computer.
Background
With the rapid development of the automobile industry and the improvement of the living standard of people, automobiles become an indispensable part of the life of people, and therefore, more and more people begin to pay attention to the safety performance of the automobiles.
The body is used as a main bearing part on an automobile, the compressive strength of the top plate of the body determines the quality of the safety performance of the automobile, and the current regulations require that the flat plate loading force of the top plate of the body is 3 times of the total prepared mass of the automobile and can not exceed 60000N at most, and the top plate of the body needs to be loaded on the left side and the right side; compared with a household vehicle, the height and the size of the vehicle body of a heavy vehicle are higher, the compression resistance and the bending resistance of the top plate of the vehicle body are relatively poor, and the analysis of the prepressing of the top plate of the vehicle body in the prior art cannot be designed for all vehicle types, so that a large amount of manpower and material resources are consumed in the design of the top plate of the vehicle body, and the resource waste is caused.
Disclosure of Invention
In view of the above, it is an object of the present invention to provide a method, system, readable storage medium and computer for constructing a precompression analysis model, so as to solve at least the deficiencies of the above-mentioned technologies.
The invention provides a construction method of a precompression analysis model, which comprises the following steps:
performing CAE pre-pressing analysis on each key component of the vehicle to be detected 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.
Further, before the step of performing CAE pre-pressure analysis on each key component of the vehicle to be tested, the method further includes:
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.
Further, before the step of determining whether the second analysis data meets the preset requirement, the method further includes:
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.
Further, after the step of determining whether the third analysis data meets the preset requirement, the method further includes:
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 after pre-pressing analysis of the optimized key components meet the preset requirement.
Further, the key components comprise an A column of the vehicle to be tested, a B column of the vehicle to be tested, a C column of the vehicle to be tested, a roof upright beam of the vehicle to be tested and a second roof cross beam of the vehicle to be tested.
The invention also provides a prepressing analysis model building system, which comprises:
the device comprises a first pre-pressing analysis module, a second pre-pressing analysis module and a control 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 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 does 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 meet 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.
Further, the system further comprises:
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.
Further, the system further comprises:
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.
Further, the system further comprises:
and the circulating module is used for re-executing the step of optimizing each key component according to the third analysis data and a preset data table if the third analysis data does not accord with the preset requirement until the data of the optimized key component after pre-pressing analysis accords with the preset requirement.
The present invention also proposes a readable storage medium on which a computer program is stored, which when executed by a processor implements the above-mentioned method for constructing a precompression analysis model.
The invention further provides a computer, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor implements the above-mentioned precompression analysis model construction method when executing the computer program.
According to the method, the system, the readable storage medium and the computer for building the pre-pressing analysis model, CAE pre-pressing analysis is carried out on each key part of the vehicle to be tested, when the obtained analysis data do not meet requirements, each key part is optimized according to the obtained analysis data and the preset data table to obtain the optimized key part, then CAE pre-pressing analysis is carried out on the optimized key part until the optimized key part meets the requirements, and the pre-pressing analysis model corresponding to the vehicle to be tested is built according to the key part meeting the requirements; the design of the top plate of the automobile body can be directly calculated through the pre-pressing analysis model, consumption of manpower and material resources is further reduced, meanwhile, various automobile types are adapted through the pre-pressing analysis model, and waste of resources is further reduced.
Drawings
FIG. 1 is a flowchart of a method for constructing a precompression analysis model according to a first embodiment of the present invention;
FIG. 2 is a flowchart of a precompression analysis model construction method in a second embodiment of the present invention;
FIG. 3 is a block diagram of a precompression analysis model building system according to a third embodiment of the present invention;
fig. 4 is a block diagram showing a computer according to a fourth embodiment of the present invention.
Description of the main element symbols:
| |
10 | |
12 |
| Processor with a memory having a plurality of |
20 | |
13 |
| |
30 | Second |
14 |
| First pre-pressure |
11 | |
15 |
The following detailed description will further illustrate the invention in conjunction with the above-described figures.
Detailed Description
To facilitate an understanding of the invention, the invention will now be described more fully with reference to the accompanying drawings. Several embodiments of the invention are presented in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
It will be understood that when an element is referred to as being "secured 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 the like as used herein are for illustrative purposes only.
Unless defined otherwise, 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 terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
Example one
Referring to fig. 1, a method for constructing a precompression analysis model in a first embodiment of the present invention is shown, and the method specifically includes steps S101 to S105:
s101, performing CAE pre-pressing analysis on each key component of a vehicle to be detected by using a preset simulation model to obtain first analysis data and second analysis data of each key component;
during specific implementation, various types of vehicle data are obtained according to a simulation experiment, various types of vehicle data are constructed into a simulation model, and various types of vehicle data are contained in the simulation model; acquiring data of each key component of a vehicle to be tested, inputting the data of each key component into the simulation model for CAE pre-pressing analysis, setting keywords DATABASE _ CROSS _ SECTION _ PLANE in a force transmission path between the key components in the simulation model, and outputting SECTION force of each key component, wherein the force transmission path is as follows: 1: column a, 2: first ceiling upright, 3: column B, 4: side wall upper threshold BC column section, 5: column C, 6: second ceiling upright, 7: first roof rail, 8 second roof rails, 9: a third ceiling beam, etc. Setting a keyword INTERFACE _ COMPONENT _ NODE and a keyword INTERFACE _ COMPONENT _ FILE at the positions of the lap joint at the upper end and the lap joint at the lower end of the B column, and outputting a NODE NODE time-displacement process result FILE; meanwhile, outputting a corresponding support reaction force of the top pressure plate by using a CAE prepressing analysis calculation result;
s102, judging whether the second analysis data meet preset requirements or not;
in specific implementation, the support reaction force of the top pressing plate is extracted, whether the support reaction force meets a preset requirement or not is judged (in the embodiment, the preset requirement is 3 times of the whole vehicle servicing quality), if the support reaction force meets the preset requirement, the structure of each key component of the vehicle to be tested is normal, and a pre-pressing analysis model of the vehicle to be tested is established according to each key component, so that the subsequent vehicles verify whether the structure of each key component meets the requirement or not through the pre-pressing analysis model.
S103, if the second analysis data do not meet 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;
in specific implementation, if the support force does not meet the preset requirement, extracting the section force of each key component in the force transmission path, and optimizing each key component according to the percentage empirical value through a preset data table, the section force of each key component and the support force to obtain a plurality of optimized key components.
It should be noted that, in this embodiment, the preset data table may be a ratio data table of the bearing capacity and the total stress value that each part of each vehicle type needs to bear when bearing a force, and is obtained by performing a simulation experiment and mathematical calculation on vehicles of each vehicle type; the standard data table of each part of various vehicle types can be provided by manufacturers when vehicles of various vehicle types leave a factory; of course, in some alternative embodiments, the preset data table may also be other data tables capable of identifying the existence of abnormality in the key component of the vehicle to be tested.
S104, 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 meet the preset requirement;
in specific implementation, the CAE pre-stress analysis is performed on each optimized critical component again by using the simulation model to obtain the output force of each optimized critical component, and the column B is taken as an example in the embodiment to describe in detail: establishing a B column strength design sub-model according to a B column model intercepted by the whole vehicle, and inputting boundary drive of the upper end lap joint and the lower end lap joint of the B column output in the step through a keyword such as INTERFACE _ LINKING _ EDGE; the B-pillar CROSS-sectional force is output by the keyword DATABASE _ CROSS _ SECTION _ plan. The sub-model is adopted to carry out variable design such as structure size, structure shape, part material thickness, part material grade and the like, the load-bearing performance of the B column is improved, the load-bearing requirement planned by the preset data table is met, a part meeting the load-bearing requirement in the preset data table is input into the simulation model to carry out CAE pre-pressing analysis, so that the output force of the part is obtained, and whether the output force meets the preset requirement or not is judged.
And S105, if the third analysis data meet the preset requirements, constructing a pre-compression analysis model of the vehicle to be tested according to the optimized key components.
In specific implementation, if the output force meets the preset requirement, it means that each optimized key component meets the standard, and a pre-pressure analysis model of the vehicle to be tested is constructed for each optimized key component, so that verification can be completed through the pre-pressure analysis model subsequently when other vehicles to be tested are subjected to the verification.
In summary, in the method for constructing a pre-compression analysis model in the above embodiment of the present invention, CAE pre-compression analysis is performed on each key part of the vehicle to be tested, when the obtained analysis data does not meet the requirement, each key component is optimized according to the obtained analysis data and the preset data table to obtain an optimized key component, CAE pre-compression analysis is performed on the optimized key component until the optimized key component meets the requirement, and a pre-compression analysis model corresponding to the vehicle to be tested is constructed according to the key component meeting the requirement; the design of the top plate of the automobile body can be directly calculated through the pre-pressing analysis model, consumption of manpower and material resources is further reduced, meanwhile, various automobile types are adapted through the pre-pressing analysis model, and waste of resources is further reduced.
Example two
Referring to fig. 2, a method for constructing a precompression analysis model in a second embodiment of the present invention is shown, and the method specifically includes steps S201 to S210:
s201, acquiring a plurality of CAD models of a standard vehicle in a design stage, and performing grid division on each CAD model in finite element software to construct a plurality of finite element models of the standard vehicle;
in specific implementation, a plurality of finite element models of a standard vehicle are constructed by acquiring a plurality of CAD models of sheet metal parts such as a body in white, a door and the like of the standard vehicle in a design stage and then performing mesh division on the CAD models through finite element software.
S202, combining the finite element models to obtain a simulation model of the standard vehicle;
in concrete implementation, vehicle data of the standard vehicle is obtained by performing a simulation experiment on the standard vehicle, and the obtained finite element models are combined with the vehicle data to construct a simulation model of the standard vehicle.
S203, performing CAE pre-pressing analysis on each key component of the vehicle to be tested by using the simulation model to obtain first analysis data and second analysis data of each key component;
in specific implementation, data of each key component of a vehicle to be tested is acquired, the data of each key component is input into the simulation model for CAE pre-compression analysis, a keyword is set in a force transmission path between each key component in the simulation model, DATABASE _ CROSS _ SECTION _ PLANE is set, and the SECTION force of each key component is output, wherein the force transmission path is as follows: 1: column a, 2: first ceiling upright, 3: column B, 4: threshold BC post section, 5 are enclosed to the side: column C, 6: second ceiling upright, 7: first roof rail, 8 second roof rails, 9: a third ceiling beam and the like. Setting a keyword INTERFACE _ COMPONENT _ NODE and a keyword INTERFACE _ COMPONENT _ FILE at the positions of the lap joint at the upper end and the lap joint at the lower end of the B column, and outputting a NODE NODE time-displacement process result FILE; meanwhile, outputting a corresponding support reaction force of the top pressure plate by using a CAE prepressing analysis calculation result;
s204, 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;
in specific implementation, a plurality of components of the standard vehicle and component parameters corresponding to the components are obtained, and bearing capacity analysis is performed on the components in sequence to obtain bearing capacity data of the components.
S205, constructing a mapping relation between each component parameter and each bearing capacity data to generate a corresponding data table;
in specific implementation, a mapping relation is established between the obtained bearing capacity data of each component and each component parameter, and a data table of the standard vehicle is created according to the ratio of the bearing capacity data of each component to the bearing capacity data of each component when the standard vehicle is stressed. Referring to the following table, the table is a data table of the bearing capacity of some parts:
| NO | name of component | Bearing capacity (%) |
| 1 | A |
20％ |
| 2 | First ceiling vertical beam | 40％ |
| 3 | B column | 60％ |
| 4 | Side wall upper threshold |
30％ |
| 5 | |
30％ |
| 6 | Second ceiling |
30％ |
| 7 | |
20％ |
| 8 | |
15％ |
| 9 | Third ceiling beam | 5％ |
It should be noted that, in this embodiment, the data table is a ratio data table of the bearing capacity and the total stress value that each part of each vehicle type needs to bear when bearing a force, and is obtained by performing a simulation experiment and mathematical calculation on vehicles of each vehicle type; the standard data table of each part of various vehicle types can also be provided by manufacturers according to the delivery of the vehicles of various vehicle types; of course, in some alternative embodiments, the preset data table may also be other data tables capable of identifying the existence of abnormality in the key component of the vehicle to be tested.
S206, judging whether the second analysis data meet preset requirements or not;
in specific implementation, the support reaction force of the top pressing plate is extracted, whether the support reaction force meets a preset requirement or not is judged (in the embodiment, the preset requirement is 3 times of the whole vehicle servicing quality), if the support reaction force meets the preset requirement, the structure of each key component of the vehicle to be tested is normal, and a pre-pressing analysis model of the vehicle to be tested is established according to each key component, so that the subsequent vehicles verify whether the structure of each key component meets the requirement or not through the pre-pressing analysis model.
S207, if the second analysis data do not meet 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;
in a specific implementation, if the support reaction force does not meet a preset requirement, extracting the cross-sectional force of each key component in the force transmission path, and optimizing each key component according to a percentage empirical value through the data table, the cross-sectional force of each key component and the support reaction force to obtain a plurality of optimized key components.
S208, 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;
in specific implementation, the CAE precompression analysis is performed on each optimized critical component by using the simulation model to obtain the output force of each optimized critical component, and the column B is taken as an example in the embodiment to describe in detail: establishing a B column strength design sub-model according to a B column model intercepted by the whole vehicle, and inputting boundary drive of the upper end lap joint and the lower end lap joint of the B column output in the step through a keyword such as INTERFACE _ LINKING _ EDGE; the B-pillar CROSS-sectional force is output by the key word DATABASE CROSS SECTION segment plan. The sub-model is adopted to carry out variable design such as structure size, structure shape, part material thickness, part material grade and the like, the load-bearing performance of the B column is improved, the load-bearing requirement planned by the preset data table is met, a part meeting the load-bearing requirement in the preset data table is input into the simulation model to carry out CAE pre-pressing analysis, so that the output force of the part is obtained, and whether the output force meets the preset requirement or not is judged.
S209, if the third analysis data meet the preset requirements, constructing a pre-pressing analysis model of the vehicle to be tested according to each optimized key component;
and S210, if the third analysis data does 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 after pre-pressing analysis meets the preset requirement.
In specific implementation, if the output force meets the preset requirement, it means that each optimized key component meets the standard, and a pre-pressure analysis model of the vehicle to be tested is constructed for each optimized key component, so that verification can be completed through the pre-pressure analysis model subsequently when other vehicles to be tested are subjected to the verification.
In summary, in the method for constructing a pre-compression analysis model in the above embodiment of the present invention, CAE pre-compression analysis is performed on each key part of the vehicle to be tested, when the obtained analysis data does not meet the requirement, each key component is optimized according to the obtained analysis data and the preset data table to obtain an optimized key component, CAE pre-compression analysis is performed on the optimized key component until the optimized key component meets the requirement, and a pre-compression analysis model corresponding to the vehicle to be tested is constructed according to the key component meeting the requirement; the design of the top plate of the automobile body can be directly calculated through the pre-pressing analysis model, consumption of manpower and material resources is further reduced, meanwhile, various automobile types are adapted through the pre-pressing analysis model, and waste of resources is further reduced.
EXAMPLE III
Referring to fig. 3, a precompression analysis model building system in a third embodiment of the present invention is shown, and includes:
the system comprises a first pre-pressure analysis module 11, a second pre-pressure analysis module and a third pre-pressure analysis module, wherein the first pre-pressure analysis module is used for performing CAE pre-pressure analysis on each key component of a vehicle to be detected by using a preset simulation model to obtain first analysis data and second analysis data of each key component;
the first judging module 12 is configured to judge whether the second analysis data meets a preset requirement;
a first optimization module 13, configured to, if the second analysis data does not meet a preset requirement, optimize each of the key components according to the first analysis data, the second analysis data, and a preset data table to obtain multiple optimized key components;
a second pre-compaction analysis module 14, configured to perform CAE pre-compaction analysis on each optimized key component again by using the simulation model to obtain third analysis data of each optimized key component, and determine whether the third analysis data meets the preset requirement;
and the building module 15 is configured to build 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.
In some optional embodiments, the system further comprises:
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.
In some optional embodiments, the system further comprises:
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.
In some optional embodiments, the system further comprises:
and the circulating module is used for re-executing the step of optimizing each key component according to the third analysis data and a preset data table if the third analysis data does not accord with the preset requirement until the data of the optimized key component after pre-pressing analysis accords with the preset requirement.
The functions or operation steps of the modules and units when executed are substantially the same as those of the method embodiments, and are not described herein again.
The implementation principle and the generated technical effect of the pre-compaction analysis model building system provided by the embodiment of the invention are the same as those of the method embodiment, and for brief description, corresponding contents in the method embodiment can be referred to where the system embodiment is not mentioned.
Example four
Referring to fig. 4, a computer according to a fourth embodiment of the present invention is shown, which includes a memory 10, a processor 20, and a computer program 30 stored in the memory 10 and executable on the processor 20, wherein the processor 20 implements the above-mentioned pre-compaction analysis model building method when executing the computer program 30.
The memory 10 includes at least one type of readable storage medium including a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, and the like. The memory 10 may in some embodiments be an internal storage unit of a computer, for example a hard disk of the computer. The memory 10 may also be an external storage device in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like. Further, the memory 10 may also include both an internal storage unit and an external storage device of the computer. The memory 10 may be used not only to store application software installed in a computer and various kinds 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 (ECU), a Central Processing Unit (CPU), a controller, a microcontroller, a microprocessor or other data Processing chip, and is configured to run program codes stored in the memory 10 or process data, such as executing an access restriction program.
It should be noted that the configuration shown in fig. 4 does not constitute a limitation of the computer, and in other embodiments the computer may include fewer or more components than those shown, or some components may be combined, or a different arrangement of components.
An embodiment of the present invention further provides a readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for constructing a pre-compaction analysis model as described above.
Those of skill in the art will understand that the logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be viewed as implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the 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, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent 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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| CN116502565A (en) * | 2023-06-27 | 2023-07-28 | 江铃汽车股份有限公司 | Air dam performance test method, system, storage medium and equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116502565A (en) * | 2023-06-27 | 2023-07-28 | 江铃汽车股份有限公司 | Air dam performance test method, system, storage medium and equipment |
| CN116502565B (en) * | 2023-06-27 | 2023-11-14 | 江铃汽车股份有限公司 | Air dam performance test method, system, storage medium and equipment |
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