CN115525981B - Automobile impact test method and system based on virtual reality technology - Google Patents
Automobile impact test method and system based on virtual reality technology Download PDFInfo
- Publication number
- CN115525981B CN115525981B CN202211404433.4A CN202211404433A CN115525981B CN 115525981 B CN115525981 B CN 115525981B CN 202211404433 A CN202211404433 A CN 202211404433A CN 115525981 B CN115525981 B CN 115525981B
- Authority
- CN
- China
- Prior art keywords
- collision
- test
- automobile
- result
- fitting
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/15—Vehicle, aircraft or watercraft design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/20—Finite element generation, e.g. wire-frame surface description, tesselation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/04—Constraint-based CAD
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/10—Numerical modelling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Geometry (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Aviation & Aerospace Engineering (AREA)
- Automation & Control Theory (AREA)
- Computer Graphics (AREA)
- Software Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application discloses an automobile impact test method and system based on a virtual reality technology, belonging to the technical field of data processing, wherein the method comprises the following steps: basic information of a target automobile is acquired and obtained, and collision influence correlation rating is carried out; performing simplified screening on parts of the target automobile, and constructing an automobile fitting model; obtaining component connection attribute information and component material information, and carrying out automobile fitting model constraint; performing VR collision fitting based on the constrained automobile fitting model and set collision test data to obtain a plurality of collision contact nodes, performing collision fitting test in combination with the collision test data, and outputting a collision fitting test result; and generating a collision test result by combining the deviation data of the constructed region deformation proportion constraint value. The application solves the technical problems of long test period and low reliability of test results of the automobile impact test in the prior art, and achieves the technical effects of intelligently performing the collision fitting test, shortening the test period and reducing the test cost.
Description
Technical Field
The application relates to the technical field of data processing, in particular to an automobile impact test method and system based on a virtual reality technology.
Background
With the rapid development of Chinese economy, the automobile industry has become a pillar type industry in China, and with the improvement of the resident living standard in China and the promotion of new town, the automobile conservation volume has been increased year by year. Meanwhile, the road complexity is more and more complicated along with the increase of the number and the variety of the road driving automobiles. Therefore, the research on the passive safety of the automobile has very important significance for ensuring the trip safety of people.
At present, three methods of an empirical method, a test research method and a computer simulation method are mainly adopted in the research of the passive safety of the automobile. The empirical method relies mainly on the experience of the technical researchers who analyze a variety of conditions by summarizing and then extract viable protocols. The test research method is to evaluate the test result comprehensively and objectively according to the collision result by carrying out the real vehicle collision. The computer simulation method mainly combines computer calculation and mechanics theory to perform simulation on the automobile impact test, thereby completing virtual design.
However, the experience method cannot carry out fine quantitative evaluation on the passive safety through experience and intuition of technical researchers, the condition of the experimental research method in the test is close to the real working condition, the requirement on the number of parts is high, and the accuracy of the whole data can be reduced. The computer simulation method can realize simultaneous design among a plurality of development departments, simulate deformation conditions of the vehicle under the condition of being impacted, but the test data still have larger errors. In the prior art, the technical problems of long test period and low reliability of test results of the automobile impact test exist.
Disclosure of Invention
The application aims to provide an automobile impact test method and system based on a virtual reality technology, which are used for solving the technical problems of long test period and low reliability of test results of automobile impact tests in the prior art.
In view of the above problems, the application provides an automobile impact test method and system based on virtual reality technology.
In a first aspect, the present application provides an automobile impact testing method based on virtual reality technology, wherein the method includes: acquiring basic information of a target automobile, and performing collision influence correlation rating according to the basic information; performing component simplification screening of the target automobile according to the collision influence correlation rating result, and constructing an automobile fitting model based on the component simplification screening result; obtaining component connection attribute information and component material information according to the basic information, and carrying out constraint on the automobile fitting model through the component connection attribute information and the component material information; setting collision test data, and performing VR collision fitting based on the constrained automobile fitting model and the constrained collision test data to obtain a plurality of collision contact nodes; performing a collision fitting test of the automobile fitting model through the plurality of collision contact nodes and the collision test data, and outputting a collision fitting test result; and constructing a region deformation proportion constraint value according to the basic information, and generating a collision test result according to the collision fitting test result and deviation data of the region deformation proportion constraint value.
On the other hand, the application also provides an automobile impact test system based on the virtual reality technology, wherein the system comprises: the impact correlation rating module is used for acquiring basic information of the target automobile and carrying out impact correlation rating according to the basic information; the fitting model construction module is used for carrying out component simplification screening of the target automobile according to the collision influence correlation rating result and constructing an automobile fitting model based on the component simplification screening result; the fitting model constraint module is used for obtaining component connection attribute information and component material information according to the basic information and carrying out automobile fitting model constraint through the component connection attribute information and the component material information; the contact node obtaining module is used for setting collision test data, and performing VR collision fitting based on the constrained automobile fitting model and the constrained collision test data to obtain a plurality of collision contact nodes; the test result output module is used for carrying out collision fitting test of the automobile fitting model through the plurality of collision contact nodes and the collision test data and outputting a collision fitting test result; and the test result generation module is used for constructing an area deformation proportion constraint value according to the basic information and generating a collision test result according to the collision fitting test result and deviation data of the area deformation proportion constraint value.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
according to the method, the response degree of each component to the collision is evaluated through collecting basic information of the target automobile, a collision influence correlation rating result is obtained, further, simplified screening is conducted on the components of the target automobile, an automobile fitting model is built based on the component simplified screening result, then component connection attribute information and component material information are obtained according to the basic information, the automobile fitting model is restrained, the collision test data are set, VR collision fitting is conducted on the automobile fitting model and the collision test data after restraint, the collision result is visually displayed to obtain a plurality of collision contact nodes, then collision fitting test is conducted on the automobile fitting model through the plurality of collision contact nodes and the collision test data, a collision fitting test result is obtained, further, a region deformation proportion constraint value is built according to the basic information, and the collision test result is obtained through integrating the collision fitting test result and deviation data of the region deformation proportion constraint value. The technical effects of shortening the period of impact test, improving the test efficiency and visually displaying the test result are achieved.
Drawings
In order to more clearly illustrate the application or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described below, it being obvious that the drawings in the description below are only exemplary and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of an automobile impact test method based on a virtual reality technology according to an embodiment of the present application;
fig. 2 is a schematic flow chart of generating a collision test result in an automobile impact test method based on a virtual reality technology according to an embodiment of the present application;
fig. 3 is a schematic flow chart of a collision fitting test through an automobile fitting model in an automobile impact testing method based on a virtual reality technology according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an automobile impact test system based on virtual reality technology according to the present application.
Reference numerals illustrate: the system comprises an influence correlation rating module 11, a fitting model construction module 12, a fitting model constraint module 13, a contact node obtaining module 14, a test result output module 15 and a test result generation module 16.
Detailed Description
The application provides an automobile impact test method and system based on a virtual reality technology, which solve the technical problems of long test period and low reliability of test results in the automobile impact test in the prior art. The method has the advantages of shortening the test period of the impact test, improving the feedback efficiency and providing reliable test results.
The technical scheme of the application obtains, stores, uses, processes and the like the data, which all meet the relevant regulations of national laws and regulations.
In the following, the technical solutions of the present application will be clearly and completely described with reference to the accompanying drawings, and it should be understood that the described embodiments are only some embodiments of the present application, but not all embodiments of the present application, and that the present application is not limited by the exemplary embodiments described herein. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application. It should be further noted that, for convenience of description, only some, but not all of the drawings related to the present application are shown.
Example 1
As shown in fig. 1, the present application provides an automobile impact test method based on virtual reality technology, wherein the method is applied to an automobile impact test system, and the method comprises:
step S100: acquiring basic information of a target automobile, and performing collision influence correlation rating according to the basic information;
step S200: performing component simplification screening of the target automobile according to the collision influence correlation rating result, and constructing an automobile fitting model based on the component simplification screening result;
specifically, the target automobile is any automobile for performing an automobile impact test. The basic information is used for describing the overall outline of the target automobile and reflecting the information of the automobile structure, parts and the like, and comprises the information of automobile types, driving modes, manufacturers, displacement, length, width, height, part connection modes, appearance structures and the like. The collision influence correlation rating is used for carrying out rating evaluation on the response degree of each part of the target automobile to the collision, so as to determine the degree of influence of the collision on each part in the collision test process. Furthermore, a screening basis is provided for the subsequent simplified screening of the components of the target automobile, the components with small collision response are simplified, and the main front collision stressed components are reserved, so that the number of the components in the fitting model is controlled, the excessive refinement of test data is avoided, and the accuracy of the whole data is reduced. The automobile fitting model is obtained by simulating the geometric structure of the target automobile according to the parameter information of the main components of the target automobile after the component simplification screening. The method achieves the technical effects of constructing the automobile fitting model, simplifying the parts with small response and further guaranteeing the overall accuracy of data.
For example, the impact correlation rating may be based on the stress of the vehicle during the crash test. The collision research data show that when a frontal collision test is carried out, the main stress parts of the automobile are arranged at the front part and the middle part of the automobile body, firstly, the bumper at the front part of the automobile body is subjected to plastic deformation, and then, stress is transmitted to the part from the front longitudinal beam at the middle part of the automobile body to the front coaming by utilizing structural continuity. Therefore, the impact association rating can be classified into a primary association rating, a secondary association rating, and a tertiary association rating, wherein the degree of response of the components of the primary association rating to the impact is highest, and the degree of response of the secondary association rating and the tertiary association rating is successively decreased. The components in the primary association level include front bumpers, front stringers, body, hood, fender, door, windshield, wheels, doors, and the like. The components in the secondary association level include seats, rear brackets, brake discs, transmissions, and the like. The components in the three-level association level include rear fenders, tail lights, rear fenders, door handles, rear view mirrors, and the like. And when the component simplification screening is carried out according to the collision influence correlation rating result, the components in the three-level correlation rating are screened out, and then the automobile fitting model is constructed according to the automobile components in the first-level correlation rating and the second-level correlation rating. The basic structure frame of the vehicle is built according to the data of the vehicle model, the vehicle wheelbase, the distance between the center of mass and the front axle, the distance between the front wheel and the rear wheel, the length, the width, the height and the like of the vehicle, and then the components in the primary association level and the secondary association level are added into the basic structure frame, so that the vehicle fitting model is obtained.
Step S300: obtaining component connection attribute information and component material information according to the basic information, and carrying out constraint on the automobile fitting model through the component connection attribute information and the component material information;
specifically, the component connection attribute information is information reflecting the connection modes of the whole vehicle component and the component, and the whole vehicle connection modes comprise various modes such as spot welding, riveting, hinging, bonding, rigid connection and the like. Because the welded nodes cannot influence the generation of other welding spots in the whole vehicle connection process, connection constraint is required to be carried out on the automobile fitting model according to the component connection attribute information. Preferably, the connection of the vehicle components can be distinguished by the type of component described, wherein the type of component is largely divided into a deformable body and a rigid body. The automobile door and the automobile body belong to deformable bodies, and can be directly connected in a spot welding mode when being connected; the rigid body and the deformable body are connected by adopting an Xtranode type; the rigid bodies are connected by adopting ConstRigidRBodi type. The component material information is actual material parameters of the component using material of the target automobile, including density, young's modulus, poisson's ratio, strain rate effect parameters, thickness, calculation integral mode and the like. For example, the front area of the automobile is mostly a sheet metal part, and a multi-linear elastic plastic material model is adopted, and the density is 7.8 -9 t/mm 3 The elastic modulus was 2.07GPa, the Poisson's ratio was 0.3, and the yield limit was 250MPa. And then, parameter constraint is carried out on the automobile fitting model according to the component connection attribute information and the component material information, so that the automobile fitting model accords with the actual state of the entity automobile, and the technical effects of providing the automobile fitting model with reliable similarity with the entity automobile for subsequent collision fitting test and improving the accuracy of a test result are achieved.
Step S400: setting collision test data, and performing VR collision fitting based on the constrained automobile fitting model and the constrained collision test data to obtain a plurality of collision contact nodes;
step S500: performing a collision fitting test of the automobile fitting model through the plurality of collision contact nodes and the collision test data, and outputting a collision fitting test result;
specifically, the collision test data is preset test parameters in the process of performing a collision test, including items of the collision test, a test vehicle collision speed, a collision angle, an overlapping rate, test dummy placement positions, placement number and the like, test dummy types, gender and the like. And then, according to the test parameter setting of VR collision fitting of the collision test data, adding the constrained automobile fitting model into a VR collider with the parameter setting completed, carrying out VR collision fitting, carrying out visual display on the deformation condition after automobile collision, and determining the plurality of collision contact nodes according to the deformation degree displayed in VR, thereby achieving the technical effects of visually determining the collision contact nodes and improving the accuracy of node determination.
Specifically, in the process of performing collision deformation analysis on the automobile, the collision fitting test result of the whole automobile can be obtained by selecting the collision contact node, namely the main deformation region node in the collision process, as an analysis test point and observing the deformation of the collision contact node. The collision fitting test result is obtained by performing a collision fitting test on the automobile fitting model according to collision test data and collecting deformation data of the plurality of collision contact nodes on the deformed automobile after collision. Therefore, the technical effect of avoiding the test result from being unable to converge due to excessive test data is achieved.
Further, as shown in fig. 2, step S500 of the embodiment of the present application further includes:
step S510: carrying out data analysis according to the collision test data to obtain collision source direction information;
step S520: performing rating adjustment of the collision influence associated rating result according to the collision source direction information to obtain an adjustment rating result;
step S530: according to the adjustment rating result, carrying out grid division on the automobile fitting model to obtain a grid division result;
step S540: and (3) passing a collision fitting test of the automobile fitting model with meshing results.
Further, step S530 of the embodiment of the present application further includes:
step S531: obtaining requirement test information of a user;
step S532: generating a grid division constraint value according to the requirement test information, wherein the grid division constraint value comprises a grid shape and a grid density value;
step S533: performing initial meshing of the automobile fitting model through the meshing constraint values;
step S534: and carrying out division adjustment on the initial grid division result through the adjustment rating result to obtain the grid division result.
Specifically, the collision test data is subjected to data analysis, the direction of a collision source is taken as an extraction tag, and the direction of a collision obstacle is extracted when the collision test is performed, so that the collision source direction information is obtained. The collision source direction information reflects the main stress direction of the automobile fitting model in the collision process, and along with the change of the stress direction, the deformation direction of the automobile fitting model is changed. And adjusting the rating of the impact related rating result according to the impact source direction information to obtain an adjusted rating result after re-rating the automobile part. For example, if the collision direction in the collision source direction information is the collision direction of the tail of the automobile, the tail of the automobile is the main stress part, so that the collision influence association rating of the rear fender, the tail lamp and the rear fender is adjusted from the three-level association rating to the one-level association rating, and the collision influence association rating of the front bumper and the front longitudinal beam is adjusted from the one-level association rating to the three-level association rating.
Specifically, under the condition of not influencing motion response, the vehicle body model is simplified, then grid division of different specifications is carried out on each component, and the accuracy of the subsequent numerical calculation analysis result is directly influenced for converting the automobile fitting model into finite elements and the size and the fineness of the grid division. The mesh size is divided according to the response degree of each automobile part in the adjustment rating result to the collision, namely the degree of deformation after the collision, the part with unobvious deformation is divided by adopting a larger size, and the part with obvious deformation is divided by adopting a smaller mesh size. When the automobile fitting model is subjected to grid division, an automatic division method is adopted, and grid division is performed according to the set size. And carrying out modification optimization for the second time. The division of grids is completed automatically, and in a frontal collision, the front area of the vehicle body is a main deformation area, the smaller grid size is required, the size is controlled between 10 mm and 15mm, and the minimum size cannot exceed 3mm. The deformation of the rear part of the vehicle body is not obvious, and the division is performed by adopting a larger size. Because the parts of the automobile collision are mostly sheet metal parts, the structure is irregular, and the thickness is far smaller than that of other two directions, the transition is carried out by adopting a quadrilateral BT shell unit and a triangular unit with higher calculation efficiency, and therefore, the mesh division of the automobile fitting model is completed.
Specifically, when grid division is performed, the grid division is constrained according to the requirement test information of the user, and the grid shape and the grid density value are mainly constrained. The requirement test information refers to requirements of users on grid quality, dividing precision and dividing efficiency. And balancing the dividing quality and the dividing efficiency according to the requirement test information, so as to obtain the grid dividing constraint value. The grid shape refers to the expression form of grids when the automobile fitting model is subjected to grid division, and the grid comprises quadrangles, triangles and the like. The grid density value refers to the number of grids in a unit area and reflects the size of the grid division size. And then, carrying out initial grid division according to the grid division constraint value, and then carrying out division adjustment according to the adjustment rating result to obtain the grid division result. The technical effect of laying a cushion for the follow-up finite element conversion of the model and ensuring the conversion accuracy is achieved.
Further, step S540 of the embodiment of the present application further includes:
step S541: the initial grid division result is preserved;
step S542: when new collision test data is executed, obtaining the new collision test data and the data deviation direction of the collision test data;
step S543: and adjusting the initial meshing result according to the data deviation direction, and executing a collision fitting test according to the automobile fitting model with the adjusted meshing result.
Specifically, the initial meshing result is stored, and when a new collision test task is executed, the initial meshing result is adjusted according to the deviation direction between the newly added collision test data and the collision test data. The data deviation direction reflects the degree of difference between the newly added collision test task and the collision test task, and comprises information such as a collision direction, a collision speed, a collision angle and the like. Preferably, the grid shape and the grid density of the initial grid division result are adjusted according to the data deviation direction so as to be in line with the newly added collision test data. The method has the advantages of improving the adjustability of the grid division result, shortening the grid division time, maximizing the utilization of resources, improving the processing efficiency and reducing the test period.
Step S600: and constructing a region deformation proportion constraint value according to the basic information, and generating a collision test result according to the collision fitting test result and deviation data of the region deformation proportion constraint value.
Further, as shown in fig. 3, step S600 of the embodiment of the present application further includes:
step S610: obtaining the deformation proportion of the first-stage region according to the region deformation proportion constraint value;
step S620: determining the deviation direction of the test result of the first-stage area according to the deviation data and the deformation proportion;
step S630: when the deviation data is smaller than the deformation proportion, generating a forward direction judgment value;
step S640: and generating the collision test result according to the deviation value of the deviation data and the forward direction judgment value.
Specifically, the reasonable automobile structure should have a better collision deformation energy absorption area, namely the deformation degree of the automobile after collision should be in a reasonable range, and the reasonable deformation degree of the automobile is quantitatively determined by constructing the area deformation proportion constraint value according to the basic information. When the regional grade division is carried out, the division is carried out according to the design principle of the vehicle, wherein the design principle of the vehicle is that the front end of the vehicle body is deformed and absorbs energy, and the passenger cabin is little or not deformed. Preferably, the vehicle is divided into three-level areas according to the design principle of the vehicle, wherein the first-level area is an area where a passenger cabin is located, the second-level area is the front end of the vehicle body, and the third-level area is the tail end of the vehicle body. After collision, the deformation ratio of the first-stage area is the highest and is the smallest, the deformation ratio of the second-stage area is larger than that of the first-stage area, and the deformation ratio of the third-stage area is larger than that of the first-stage area and smaller than that of the second-stage area. For example, the wheel base of the vehicle body is 3380mm, the length and width are 5630×1558×1780mm, the distance between the cockpit and the front bumper of the vehicle is 1653mm, the distance between the rear seat and the rear bumper of the vehicle is 1700mm, then according to the size parameter, the larger the distance between the rear seat and the front bumper is, the larger the deformation proportion is, the initial area deformation proportion constraint value corresponding to each area grade of the vehicle is determined to be 2:7:1, and further the proportion adjustment is performed according to the safety importance degree of each area, and the deformation proportion is minimum because the first-stage area is the passenger cabin, so that the area deformation proportion constraint value is 1:7:2.
Specifically, the deformation ratio of the first-stage region is obtained according to the region deformation ratio constraint value. And obtaining deviation data with inconsistent data by comparing deformation conditions of all areas in the collision fitting test result with the area deformation proportion constraint value. Wherein the deviation data reflects the difference between the fitting test results and the pre-planned data. And further, test deviation data of the first-stage area is obtained according to the deviation data, the test deviation data is compared with the deformation proportion, whether the deviation data is in the range of the deformation proportion or out of the range is judged, and therefore the deviation direction is judged. When the deviation data is smaller than the deformation proportion, the deviation data is in the deformation proportion range, and for the automobile impact test, the smaller the deformation is, the better the deviation data is, the deviation direction is correct, and the forward direction judgment value is obtained. And obtaining the collision test result according to the deviation value of the deviation data and the forward direction judgment value, wherein the deformation condition of the automobile impact test can meet the requirement. The technical effect of quantitatively analyzing the test result and improving the accuracy of the analysis result is achieved.
Further, step S600 of the embodiment of the present application further includes:
step S650: obtaining multi-level region data of a hierarchical region;
step S660: setting an area evaluation value of an initial area;
step S670: and carrying out deformation evaluation on all areas according to the multi-level area data, the area evaluation values and the deviation data, and generating a collision test result according to an evaluation result.
Specifically, after the region classification is performed on the automobile fitting model, the classification region is obtained and comprises the first-stage region, the second-stage region and the third-stage region. And the regional grades corresponding to different automobile parts are not identical, and the grading regions are obtained. The classification area is obtained by dividing different deformation requirements of different parts of the vehicle body. The multi-level region data is corresponding data of each level region in the hierarchical region, and comprises information such as region positions, components in the region and the like. The regional evaluation value of the initial region is obtained after the regions are scored according to the importance degree of the regions in the passive safety evaluation of the automobile before the collision fitting test is carried out on the regions of each level corresponding to the grading region, namely the first-level region, the second-level region and the third-level region. The first-stage area is an area for people to sit, the area evaluation value is 10, the second-stage area is a main stress part, the area evaluation value is 8, the third-stage area is mainly a structural support function, and the area evaluation value is 6. And performing deformation evaluation on all areas of the automobile fitting model according to the multi-level area data, the area evaluation value and the deviation data. Preferably, the area determination is performed according to the multi-level area data, the area evaluation value is used as a weight proportion, and the evaluation result is obtained by combining the deviation data. The deviation data of the first-stage area is 0.1% in an exemplary manner, which indicates that the deformation of the cockpit is very small at this time, and the deviation data of the second-stage area is 50% which indicates that the deformation of the front end of the automobile body is very obvious at this time, but the deformation of the cockpit is small at this time, so that a collision test result with high safety of the automobile body structure can be obtained. The comprehensive deformation evaluation is achieved, the deformation evaluation is carried out by combining a plurality of factors, and the technical effect of improving the accuracy of the test result is achieved.
Further, step S670 of the embodiment of the present application further includes:
step S671: building VR projection through the automobile fitting model, wherein the VR projection and the automobile fitting model have a point-to-point mapping relation;
step S672: adjusting the VR projection according to the positions of each point in the collision fitting result to obtain a collision VR projection;
step S673: and displaying a collision result through the collision VR projection.
Specifically, visual display is performed on the automobile fitting model based on immersion type virtual reality equipment VR, and a one-to-one correspondence between projection points and the automobile fitting model is established during projection, so that images can be ensured to accurately display the automobile fitting model. And adjusting the image of the VR projection according to the point-to-point mapping relation according to the moving positions of the points in the collision fitting result to obtain the collision VR projection. The VR projection shows the image condition of the automobile fitting model after the collision fitting test. Therefore, the technical effects of immersive and visual display of the collision result and enrichment of the display dimension of the collision result are achieved.
In summary, the automobile impact test method based on the virtual reality technology provided by the application has the following technical effects:
1. according to the embodiment of the application, basic information of a target automobile is acquired, basic data is provided for subsequent analysis of collision test conditions of the target automobile, then collision influence correlation rating is carried out according to each component condition contained in the basic information, screening components are simplified according to collision influence correlation rating results, analysis data reduction is realized, the aim of data non-convergence is avoided, a basic frame of an automobile fitting model is constructed through component information in the screening results, the connection condition of each component in the automobile fitting model is restrained by combining component connection attribute information and component material information, so that the automobile fitting model is close to the condition of a real automobile, then VR collision fitting is carried out according to collision test data, a plurality of collision contact nodes are obtained according to the visual display result, collision fitting test of the automobile fitting model is carried out according to the collision test data, a region deformation proportion constraint value is constructed according to the structure of the automobile in the basic information and the importance of each region, and a collision test result is obtained according to the deviation data of the collision fitting test result and the region deformation proportion constraint value. The technical effects of improving the accuracy of the automobile impact test and shortening the test period are achieved.
2. According to the embodiment of the application, the collision test data are subjected to data analysis, the collision source direction in the data is extracted, the collision response degree of each part of the automobile fitting model is further determined according to the actual collision direction, the collision influence correlation rating result is adjusted, the automobile fitting model is subjected to grid division according to the adjustment rating result, the grid division result is obtained, and the collision fitting test of the automobile fitting model with the grid division result is performed. The method achieves the technical effects of improving the accuracy of collision fitting test and improving the accuracy of model to finite element conversion through grid division.
Example two
Based on the same inventive concept as the automobile impact test method based on the virtual reality technology in the foregoing embodiment, as shown in fig. 4, the present application further provides an automobile impact test system based on the virtual reality technology, where the system includes:
the impact correlation rating module 11 is used for acquiring basic information of the target automobile, and performing impact correlation rating according to the basic information;
the fitting model construction module 12 is used for carrying out component simplification screening of the target automobile according to the collision influence correlation rating result, and constructing an automobile fitting model based on the component simplification screening result;
the fitting model constraint module 13 is used for obtaining component connection attribute information and component material information according to the basic information, and performing the automobile fitting model constraint through the component connection attribute information and the component material information;
the contact node obtaining module 14 is configured to set collision test data, and perform VR collision fitting based on the constrained automobile fitting model and the collision test data to obtain a plurality of collision contact nodes;
the test result output module 15 is used for performing a collision fitting test of the automobile fitting model through the plurality of collision contact nodes and the collision test data, and outputting a collision fitting test result;
the test result generation module 16 is configured to construct an area deformation ratio constraint value according to the basic information, and generate a collision test result according to the collision fitting test result and deviation data of the area deformation ratio constraint value.
Further, the system further comprises:
the deformation proportion obtaining unit is used for obtaining the deformation proportion of the first-stage region according to the region deformation proportion constraint value;
the deviation direction judging unit is used for judging the deviation direction of the test result of the first-stage area according to the deviation data and the deformation proportion;
a determination value generation unit configured to generate a forward direction determination value when the deviation data is in a smaller proportion relative to the deformation proportion;
and the collision test result generating unit is used for generating the collision test result according to the deviation value of the deviation data and the forward direction judging value.
Further, the system further comprises:
a region data obtaining unit for obtaining multi-level region data of the hierarchical region;
an evaluation value setting unit for setting an area evaluation value of the initial area;
and the deformation evaluation unit is used for performing deformation evaluation on all areas according to the multi-level area data, the area evaluation values and the deviation data and generating a collision test result according to an evaluation result.
Further, the system further comprises:
the direction information obtaining unit is used for carrying out data analysis according to the collision test data to obtain collision source direction information;
the rating adjustment unit is used for performing rating adjustment on the collision influence related rating result according to the collision source direction information to obtain an adjustment rating result;
the grid division result obtaining unit is used for carrying out grid division on the automobile fitting model according to the adjustment rating result to obtain a grid division result;
and the collision fitting test unit is used for passing a collision fitting test of the automobile fitting model with meshing results.
Further, the system further comprises:
the system comprises a demand test information acquisition unit, a demand test information acquisition unit and a data processing unit, wherein the demand test information acquisition unit is used for acquiring demand test information of a user;
the grid division constraint value generation unit is used for generating grid division constraint values according to the requirement test information, wherein the grid division constraint values comprise grid shapes and grid density values;
the initial grid division unit is used for carrying out initial grid division on the automobile fitting model through the grid division constraint value;
the division adjusting unit is used for carrying out division adjustment on the initial grid division result through the adjustment rating result to obtain the grid division result.
Further, the system further comprises:
the result reservation unit is used for reserving results of the initial grid division results;
a data deviation direction obtaining unit for obtaining the newly added crash test data and the data deviation direction of the crash test data when the newly added crash test data is executed;
and the fitting test execution unit is used for adjusting the initial meshing result according to the data deviation direction and executing a collision fitting test according to the automobile fitting model with the adjusted meshing result.
Further, the system further comprises:
the VR projection construction unit is used for constructing VR projections through the automobile fitting model, wherein the VR projections and the automobile fitting model have a point-to-point mapping relation;
the collision VR projection obtaining unit is used for adjusting the VR projection according to the positions of each point in the collision fitting result to obtain collision VR projection;
and the collision result display unit is used for displaying the collision result through the collision VR projection.
In this description, each embodiment is described in a progressive manner, and each embodiment focuses on the difference from other embodiments, and the foregoing virtual reality technology-based automobile impact test method and specific example in the first embodiment of fig. 1 are also applicable to the virtual reality technology-based automobile impact test system of this embodiment, and by the foregoing detailed description of the virtual reality technology-based automobile impact test method, those skilled in the art can clearly know that the virtual reality technology-based automobile impact test system in this embodiment is not described in detail herein for brevity of description. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. An automobile impact test method based on a virtual reality technology, which is characterized by being applied to an automobile impact test system, comprising the following steps:
acquiring basic information of a target automobile, and performing collision influence correlation rating according to the basic information, wherein the collision influence correlation rating is an influence degree evaluation grade on each part when the target automobile collides;
performing component simplification screening of the target automobile according to the collision influence correlation rating result, and constructing an automobile fitting model based on the component simplification screening result;
obtaining component connection attribute information and component material information according to the basic information, and carrying out constraint on the automobile fitting model through the component connection attribute information and the component material information;
setting collision test data, wherein the collision test data are preset test parameters in a collision test process, and performing VR collision fitting based on the constrained automobile fitting model and the collision test data to obtain a plurality of collision contact nodes;
performing a collision fitting test of the automobile fitting model through the plurality of collision contact nodes and the collision test data, and outputting a collision fitting test result;
and constructing an area deformation proportion constraint value according to the basic information, wherein the area deformation proportion constraint value is a normal structure deformation proportion constraint range after the automobile collides, and generating a collision test result according to the collision fitting test result and deviation data of the area deformation proportion constraint value.
2. The method of claim 1, wherein the method comprises:
obtaining the deformation proportion of the first-stage region according to the region deformation proportion constraint value;
determining the deviation direction of the test result of the first-stage area according to the deviation data and the deformation proportion;
when the deviation data is smaller than the deformation proportion, generating a forward direction judgment value;
and generating the collision test result according to the deviation value of the deviation data and the forward direction judgment value.
3. The method of claim 2, wherein the method further comprises:
obtaining multi-level region data of a hierarchical region;
setting an area evaluation value of an initial area;
and carrying out deformation evaluation on all areas according to the multi-level area data, the area evaluation values and the deviation data, and generating a collision test result according to an evaluation result.
4. The method of claim 1, wherein the method comprises:
carrying out data analysis according to the collision test data to obtain collision source direction information;
performing rating adjustment of the collision influence associated rating result according to the collision source direction information to obtain an adjustment rating result;
according to the adjustment rating result, carrying out grid division on the automobile fitting model to obtain a grid division result;
and (3) passing a collision fitting test of the automobile fitting model with meshing results.
5. The method of claim 4, wherein the method comprises:
obtaining requirement test information of a user;
generating a grid division constraint value according to the requirement test information, wherein the grid division constraint value comprises a grid shape and a grid density value;
performing initial meshing of the automobile fitting model through the meshing constraint values;
and carrying out division adjustment on the initial grid division result through the adjustment rating result to obtain the grid division result.
6. The method of claim 5, wherein the method comprises:
the initial grid division result is preserved;
when new collision test data is executed, obtaining the new collision test data and the data deviation direction of the collision test data;
and adjusting the initial meshing result according to the data deviation direction, and executing a collision fitting test according to the automobile fitting model with the adjusted meshing result.
7. The method of claim 1, wherein the method comprises:
building VR projection through the automobile fitting model, wherein the VR projection and the automobile fitting model have a point-to-point mapping relation;
adjusting the VR projection according to the positions of each point in the collision fitting result to obtain a collision VR projection;
and displaying a collision result through the collision VR projection.
8. An automobile impact test system based on virtual reality technology, the system comprising:
the impact correlation rating module is used for acquiring basic information of the target automobile and carrying out impact correlation rating according to the basic information, wherein the impact correlation rating is an impact degree evaluation grade on each part when the target automobile collides;
the fitting model construction module is used for carrying out component simplification screening of the target automobile according to the collision influence correlation rating result and constructing an automobile fitting model based on the component simplification screening result;
the fitting model constraint module is used for obtaining component connection attribute information and component material information according to the basic information and carrying out automobile fitting model constraint through the component connection attribute information and the component material information;
the contact node obtaining module is used for setting collision test data, wherein the collision test data are preset test parameters in a collision test process, and VR collision fitting is carried out based on the constrained automobile fitting model and the collision test data to obtain a plurality of collision contact nodes;
the test result output module is used for carrying out collision fitting test of the automobile fitting model through the plurality of collision contact nodes and the collision test data and outputting a collision fitting test result;
the test result generation module is used for constructing an area deformation proportion constraint value according to the basic information, wherein the area deformation proportion constraint value is a normal structure deformation proportion constraint value after the automobile collides, and a collision test result is generated according to the collision fitting test result and deviation data of the area deformation proportion constraint value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211404433.4A CN115525981B (en) | 2022-11-10 | 2022-11-10 | Automobile impact test method and system based on virtual reality technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211404433.4A CN115525981B (en) | 2022-11-10 | 2022-11-10 | Automobile impact test method and system based on virtual reality technology |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115525981A CN115525981A (en) | 2022-12-27 |
| CN115525981B true CN115525981B (en) | 2023-09-22 |
Family
ID=84704916
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211404433.4A Active CN115525981B (en) | 2022-11-10 | 2022-11-10 | Automobile impact test method and system based on virtual reality technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115525981B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20070050228A (en) * | 2005-11-10 | 2007-05-15 | (주)프레이맥스 | Simulation device and method for design optimization and record media recorded program for realizing the same |
| DE102013217792B3 (en) * | 2013-09-05 | 2014-12-24 | Deutsches Zentrum für Luft- und Raumfahrt e.V. | Method for testing a component of a vehicle and installation for vehicle component collision tests |
| CN110930521A (en) * | 2019-11-21 | 2020-03-27 | 哈尔滨理工大学 | Dynamic collision detection method and system applied to dimension reduction in virtual surgery |
| CN112560308A (en) * | 2020-12-08 | 2021-03-26 | 首钢集团有限公司 | Automobile crash test platform construction method and device based on finite elements |
| JP2021165663A (en) * | 2020-04-07 | 2021-10-14 | Ｊｆｅスチール株式会社 | Frontal collision test method for vehicle body side structure |
-
2022
- 2022-11-10 CN CN202211404433.4A patent/CN115525981B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20070050228A (en) * | 2005-11-10 | 2007-05-15 | (주)프레이맥스 | Simulation device and method for design optimization and record media recorded program for realizing the same |
| DE102013217792B3 (en) * | 2013-09-05 | 2014-12-24 | Deutsches Zentrum für Luft- und Raumfahrt e.V. | Method for testing a component of a vehicle and installation for vehicle component collision tests |
| CN110930521A (en) * | 2019-11-21 | 2020-03-27 | 哈尔滨理工大学 | Dynamic collision detection method and system applied to dimension reduction in virtual surgery |
| JP2021165663A (en) * | 2020-04-07 | 2021-10-14 | Ｊｆｅスチール株式会社 | Frontal collision test method for vehicle body side structure |
| CN112560308A (en) * | 2020-12-08 | 2021-03-26 | 首钢集团有限公司 | Automobile crash test platform construction method and device based on finite elements |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115525981A (en) | 2022-12-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107169164B (en) | Consider the simplified model modeling method suitable for automobile Earlier designs of collision operating condition | |
| CN106709151A (en) | Design method for vehicle body front-end structure with vehicle front surface 25% overlapping ratio collision | |
| Marzougui et al. | Development and validation of an NCAP simulation using LS-DYNA3D | |
| CN114239149B (en) | Commercial vehicle cab white body light weight method based on collision performance optimization | |
| Gepner et al. | Effectiveness of ECE R66 and FMVSS 220 standards in rollover crashworthiness assessment of paratransit buses | |
| Marzougui et al. | Development & validation of a finite element model for a mid-sized passenger sedan | |
| CN115525981B (en) | Automobile impact test method and system based on virtual reality technology | |
| CN113901585B (en) | Method for optimizing white body weight of commercial vehicle cab | |
| Korner | A method for evaluating occupant protection by correlating accident data with laboratory test data | |
| CN112651161B (en) | Rigidity calibration method based static head collision simulation method for automobile instrument panel suspension screen | |
| Augustitus et al. | Design through analysis of an experimental automobile structure | |
| Williams et al. | The frontal impact response of a spaceframe chassis sportscar | |
| Krishnamoorthy et al. | Design optimisation of passenger car hood panels for improved pedestrian protection | |
| CN113806971A (en) | SUV (vehicle speed Up Voltage) frontal collision test and analysis method based on vehicle finite element | |
| CN111551370A (en) | Vehicle impact analysis | |
| Nelson et al. | Improved side impact protection: Design optimisation for minimum harm | |
| Reichert et al. | Development of a 2015 Mid-Size Sedan Vehicle Model | |
| Zweep et al. | Evaluation of fleet systems model for vehicle compatibility | |
| Zhao et al. | Whole car side impact mode and response evaluation | |
| Mirza | Evaluation of Structural Damage of a Small Car Collision Under FMVSS Side Impact Regulations and Comparison of Injury Response when the Driver's Seat is Displaced Laterally Inward | |
| Küçük | Rollover Crashworthiness of a Multipurpose Coach | |
| Liu et al. | Multi-body modeling method for rollover using MADYMO | |
| Abdollahi et al. | The Simulation of Car Impact at Different Speeds by Abaqus and ANSYS Software, Study the Results, and Development of an Appropriate Analytical Relationship | |
| CN112945578A (en) | Automobile front collision verification method and device | |
| Untaroiu et al. | Development and validation of a headform impactor finite element model with application to vehicle hood design for pedestrian protection |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |