CN106096108A - The optimization method of semi-mounted truck side wind stability based on agent model - Google Patents
The optimization method of semi-mounted truck side wind stability based on agent model Download PDFInfo
- Publication number
- CN106096108A CN106096108A CN201610391975.0A CN201610391975A CN106096108A CN 106096108 A CN106096108 A CN 106096108A CN 201610391975 A CN201610391975 A CN 201610391975A CN 106096108 A CN106096108 A CN 106096108A
- Authority
- CN
- China
- Prior art keywords
- model
- agent model
- sample
- side wind
- optimization method
- 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.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/30—Circuit design
- G06F30/36—Circuit design at the analogue level
- G06F30/367—Design verification, e.g. using simulation, simulation program with integrated circuit emphasis [SPICE], direct methods or relaxation methods
-
- 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
Abstract
The invention discloses a kind of semi-mounted truck side wind stability analysis optimization method based on agent model, concretely comprising the following steps of the method: choose the side skirt of semitrailer as optimization object, choose sample point, and the Car body model of each sample point is carried out stress and strain model, carry out Flow Field outside calculating；Obtain the air dynamic behaviour that sample pattern occurs to be had during different lateral deviation under effect of Side Wind；Simulation semitrailer riding stability under effect of Side Wind, obtains the lateral acceleration situation of change of sample pattern；Utilize the characteristic parameter of multiple sample point and the response value of lateral acceleration to build the agent model of cross-wind stability；The accuracy of agent model is verified.The body shape impact on the control stability of crosswind lower half trailer can be preferably analyzed by the optimization method of the present invention, the result reliability of this optimization method is high, the operating process suitability is extensive, can shorten the Vehicle Body Development cycle, obtain more preferable body shape result.
Description
Technical field
The invention belongs to automotive aerodynamics field and Automobile Body Modeling optimizes field, particularly relate to a kind of based on generation
The semi-mounted truck side wind stability analysis optimization method of reason model.
Background technology
Mostly the design of existing Automobile Body Modeling is to utilize computer-aided design, and the optimization carrying out body shape is main
Being dependent on experience and forefathers' summary to design experiences of designer, this traditional method for designing has a lot of shortcomings, not only
Construction cycle is longer, and design efficiency is relatively low, and cannot determine whether the model after optimization is optimal result.And considering sky
In the case of aerodynamics impact, the shape-designing of body of a motor car is increasingly complex, and the experiment condition of a lot of situations does not reach,
Also Automobile Body Modeling design and aerodynamic effects well cannot be taken into consideration and obtained more preferable vehicle configuration.
Summary of the invention
The technical problem to be solved be for above-mentioned prior art exist not enough provide one to calculate can
High by property, the optimization method of the semi-mounted truck side wind stability based on agent model in Vehicle Body Development cycle can be shortened.
The technical solution adopted in the present invention is: the optimization method of semi-mounted truck side wind stability based on agent model,
It is characterized in that: comprise the steps:
Step one, set up initial semitrailer threedimensional model；
Step 2, characteristic parameter for vehicle body geometric model choose the side skirt of semitrailer as optimization object, and foundation
The resemblance of side skirt chooses width W, and four parameters of length L, highly H and angle A describe its shape, obtain sample pattern；
Step 3, four structural parameters values of method offside skirt by sampling choose sample point；
Step 4, utilize ICEM software that sample pattern carries out vehicle body outside surface stress and strain model, and enter with FLUENT software
The calculating of row Flow Field outside；
Step 5, matlab is utilized to fit to respectively the sample pattern pneumatic six square phase coefficient under different lateral deviation angles
With the curve of side drift angle change, i.e. obtain the aerodynamic that sample pattern occurs to be had during different lateral deviation under effect of Side Wind
Characteristic；
Step 6, the pneumatic six square phase coefficient curve of representative sample model aerodynamic characteristic matching obtained are applied to
Trucksim simulates semitrailer riding stability under effect of Side Wind, obtains the lateral acceleration change feelings of sample pattern
Condition, and using the maximum of lateral acceleration as the response value of cross-wind stability；
Step 7, utilize the characteristic parameter of multiple sample point and the response value of lateral acceleration to build cross-wind stability
Agent model；
By technique scheme, the accuracy of agent model is verified, verify whether to meet the generation of performance requirement
Reason model, forwards step 2 to as no, by choosing new parameter size value, repeatedly rebuilds agent model；
By technique scheme, step one is specially and sets up initial semitrailer model in 3 d modeling software CATIA,
The sample pattern that in step 3, four structural parameters of offside skirt obtain also is set up in CATIA.
By technique scheme, step 3 uses optimization Latin Hypercube Sampling method to extract in each parameter size range
Multiple variable sample points, and be combined different sample points setting up at least 10 sample geometric models.
By technique scheme, step 4 is particularly as follows: to calculate at crosswind respectively when calculating the Flow Field outside of sample pattern
The lower semitrailer of effect occurs 0 degree, 5 degree, 10 degree, 15 degree, 20 degree, 25 degree, 30 degree, the aerodynamic characteristic of 35 degree of different lateral deviation angles,
Obtaining the pneumatic six square phase coefficient under different angles, described pneumatic six square phase coefficient includes resistance coefficient, sideway force coefficient, lift
Coefficient, side force moment coefficient, yaw moment coefficient, pitching moment coefficient.
By technique scheme, described step 7 particularly as follows: draw the structural parameters of side skirt according to the agent model built
And the relation between lateral acceleration.
By technique scheme, the accuracy of agent model is verified method particularly includes: from four parameters of side skirt
The parameter point that in the design space of variable, optional three test sample points are thought is analyzed, and by analysis result and agent model
The result of the lateral acceleration obtained contrasts, thus verifies the accuracy of agent model.
Step 9, agent model to the side skirt dimensional parameters obtained with lateral acceleration relation are optimized, and choose side
Wind stability preferable side skirt parameter.
Acquired by the present invention have the beneficial effect that present invention semi-mounted based on agent model truck side wind stability analyze excellent
Change method so that Automobile Modeling Design is organically combined with aerodynamic effects, under considering side wind action, by semitrailer
Aerodynamic characteristic and riding stability carry out coupling analysis, the vehicle body of semitrailer is carried out moulding optimization and obtains semitrailer crosswind behaviour
The Automobile Body Modeling that handing stability is optimum, is more beneficial for solving during Automobile body shape-designing under effect of Side Wind experiment condition not
The problem of foot, the optimum results reliability of this optimization method is high, the strong construction cycle shortening body of a motor car with develop into
This.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the present invention.
Fig. 2 is the initial three-dimensional car model set up in CATIA software.
Fig. 3 is the top view of the optimization object side skirt chosen.
Fig. 4 is the axonometric drawing of the optimization object side skirt chosen.
Detailed description of the invention
The invention will be further described below in conjunction with the accompanying drawings.
As it is shown in figure 1, present embodiments provide a kind of semi-mounted truck side wind stability analysis optimization based on agent model
Method, comprises the following steps:
Step one, set up initial semitrailer threedimensional model, utilize CATIA to set up initial semitrailer threedimensional model such as figure
Shown in 2；
Step 2, characteristic parameter for vehicle body geometric model choose the side skirt of semitrailer as optimization object, and foundation
The resemblance of side skirt chooses width W, and four parameters of length L, highly H and angle A carry out dimensionally-optimised.(such as Fig. 3,4 institutes
Show) for initial side skirt, W, L, H, and A, value be respectively 30mm, 2870mm, 400mm, and 0 degree, wherein the taking of angle A
Value change changes counterclockwise relative to initial angle, according to the form factor of semitrailer, sets the value model of W, L, H and A
Enclosing respectively 0～50mm, 0～3200mm, 300～600mm, 0 °～45 °, wherein value type is integer；
Step 3, four structural parameters values of method offside skirt by sampling choose sample point, select in design process
The number taking variable-value sample point is typically based on the complexity of computation model, the number of design factor and level, computer
The comprehensive conditions such as simulation calculation ability take in, it is possible to choosing different algorithms is sampled, and the present invention uses optimization to draw
Fourth hypercube sampling approach extracts 5 variable sample points in each parameter size range, and is combined different sample points
Set up 15 sample geometric models；
Step 4, utilize ICEM software that sample pattern carries out vehicle body outside surface stress and strain model, and enter with FLUENT software
The calculating of row Flow Field outside, under calculating respectively in effect of Side Wind when calculating the Flow Field outside of sample pattern, semitrailer occurs 0 degree, and 5
Degree, 10 degree, 15 degree, 20 degree, 25 degree, 30 degree, the aerodynamic characteristic of 35 degree of different lateral deviation angles, obtain pneumatic six under different angles
Component coefficient includes resistance coefficient, sideway force coefficient, lift coefficient, side force moment coefficient, yaw moment coefficient, pitching moment system
Number；
Step 5, matlab is utilized to fit to respectively the sample pattern pneumatic six square phase coefficient under different lateral deviation angles
With the curve of side drift angle change, i.e. obtain the aerodynamic that sample pattern occurs to be had during different lateral deviation under effect of Side Wind
Characteristic；
Step 6, the pneumatic six square phase coefficient curve of representative sample model aerodynamic characteristic matching obtained is applied to
Simulating semitrailer riding stability under effect of Side Wind in trucksim, this is the pneumatic spy of semitrailer under considering effect of Side Wind
In the case of property can change along with crosswind angle, the coupling that the aerodynamic characteristic of semitrailer is combined with riding stability
Analysis method, it is possible to closer to semitrailer state by aerodynamic effects under effect of Side Wind, draws the most partly
The analog result of the riding stability under trailer crosswind, obtains the lateral acceleration of the sample pattern change feelings under effect of Side Wind
Condition, and using the maximum of lateral acceleration as the response value of cross-wind stability；
Step 7, utilizes the characteristic parameter of multiple sample point and the response value of lateral acceleration to build cross-wind stability
Agent model, can draw the relation between characteristic parameter and the lateral acceleration of side skirt according to the agent model built；
Step 8, verifies the accuracy of agent model, method particularly includes: from the design of four parametric variables of side skirt
The parameter point that in space, optional three test sample points are thought is analyzed, and analysis result and agent model are obtained lateral
The result of acceleration contrasts, thus verifies the accuracy of agent model, thus judges that whether agent model returns；
Step 9, is optimized the agent model of the side skirt dimensional parameters obtained with lateral acceleration relation, chooses side
Wind stability preferable side skirt parameter.
Claims (6)
1. the optimization method of semi-mounted truck side wind stability based on agent model, it is characterised in that: comprise the steps:
Step one, set up initial semitrailer threedimensional model；
Step 2, characteristic parameter for vehicle body geometric model choose the side skirt of semitrailer as optimization object, and according to side skirt
Resemblance choose width W, four parameters of length L, highly H and angle A describe its shape, obtain sample pattern；
Step 3, four structural parameters values of method offside skirt by sampling choose sample point；
Step 4, utilize ICEM software that sample pattern carries out vehicle body outside surface stress and strain model, and outside carrying out with FLUENT software
The calculating in flow field；
Step 5, matlab is utilized to fit to respectively with side the sample pattern pneumatic six square phase coefficient under different lateral deviation angles
The curve of drift angle change, i.e. obtains sample pattern and occurs the aerodynamic being had during different lateral deviation special under effect of Side Wind
Property；
Step 6, the pneumatic six square phase coefficient curve of representative sample model aerodynamic characteristic matching obtained are applied to trucksim
Middle simulation semitrailer riding stability under effect of Side Wind, obtains the lateral acceleration situation of change of sample pattern, and by side
To the maximum of acceleration as the response value of cross-wind stability；
Step 7, utilize the characteristic parameter of multiple sample point and the response value of lateral acceleration to build the agency of cross-wind stability
Model；
Step 8, accuracy to agent model are verified, verify whether to meet the agent model of performance requirement, such as no turn
To step 2, by choosing new parameter size value, repeatedly rebuild agent model；
Step 9, agent model to the side skirt dimensional parameters obtained with lateral acceleration relation are optimized, and choose crosswind steady
Qualitative good side skirt parameter.
The optimization method of semi-mounted truck side wind stability based on agent model the most according to claim 1, its feature exists
In: step one is specially and sets up initial semitrailer model in 3 d modeling software CATIA, four, offside skirt knot in step 3
The sample pattern that structure parameter obtains also is set up in CATIA.
The optimization method of semi-mounted truck side wind stability based on agent model the most according to claim 1 and 2, its feature
It is: step 3 uses optimization Latin Hypercube Sampling method to extract multiple variable sample point in each parameter size range, and
It is combined different sample points setting up at least 10 sample geometric models.
The optimization method of semi-mounted truck side wind stability based on agent model the most according to claim 1 and 2, its feature
Be: step 4 particularly as follows: calculate sample pattern Flow Field outside time to calculate respectively in effect of Side Wind under semitrailer occur 0
Degree, 5 degree, 10 degree, 15 degree, 20 degree, 25 degree, 30 degree, the aerodynamic characteristic of 35 degree of different lateral deviation angles, obtain the gas under different angles
Dynamic six square phase coefficient, described pneumatic six square phase coefficient includes resistance coefficient, sideway force coefficient, lift coefficient, side force moment coefficient,
Yaw moment coefficient, pitching moment coefficient.
The optimization method of semi-mounted truck side wind stability based on agent model the most according to claim 1 and 2, its feature
It is: described step 7 is particularly as follows: draw according to the agent model built between structural parameters and the lateral acceleration of side skirt
Relation.
The optimization method of semi-mounted truck side wind stability based on agent model the most according to claim 1 and 2, its feature
It is: in described step 8, the accuracy of agent model is verified method particularly includes: from four parametric variables of side skirt
The parameter point that in design space, optional three test sample points are thought is analyzed, and analysis result and agent model are obtained
The result of lateral acceleration contrasts, thus verifies the accuracy of agent model.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610391975.0A CN106096108A (en) | 2016-06-06 | 2016-06-06 | The optimization method of semi-mounted truck side wind stability based on agent model |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610391975.0A CN106096108A (en) | 2016-06-06 | 2016-06-06 | The optimization method of semi-mounted truck side wind stability based on agent model |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106096108A true CN106096108A (en) | 2016-11-09 |
Family
ID=57447633
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610391975.0A Pending CN106096108A (en) | 2016-06-06 | 2016-06-06 | The optimization method of semi-mounted truck side wind stability based on agent model |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106096108A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110231179A (en) * | 2019-06-19 | 2019-09-13 | 中汽研（天津）汽车工程研究院有限公司 | A kind of vehicle cross-wind stability test method |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110175366A1 (en) * | 2010-01-19 | 2011-07-21 | Johann Steinlechner | Low-profile power-generating wind turbine |
| CN104331536A (en) * | 2014-09-26 | 2015-02-04 | 湖南工业大学 | Low-resistance and low-noise collaborative design optimizing method of vehicle body |
| CN104765916A (en) * | 2015-03-31 | 2015-07-08 | 西南交通大学 | Dynamics performance parameter optimizing method of high-speed train |
| CN104898414A (en) * | 2015-03-31 | 2015-09-09 | 西南交通大学 | Key parameter identification method for high-speed train dynamics performance design |
-
2016
- 2016-06-06 CN CN201610391975.0A patent/CN106096108A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110175366A1 (en) * | 2010-01-19 | 2011-07-21 | Johann Steinlechner | Low-profile power-generating wind turbine |
| CN104331536A (en) * | 2014-09-26 | 2015-02-04 | 湖南工业大学 | Low-resistance and low-noise collaborative design optimizing method of vehicle body |
| CN104765916A (en) * | 2015-03-31 | 2015-07-08 | 西南交通大学 | Dynamics performance parameter optimizing method of high-speed train |
| CN104898414A (en) * | 2015-03-31 | 2015-09-09 | 西南交通大学 | Key parameter identification method for high-speed train dynamics performance design |
Non-Patent Citations (3)
| Title |
|---|
| 董光平等: "《侧风下半挂货车侧移特性的分析与优化》", 《汽车工程》 * |
| 贺桂敏: "《某集装箱货车高速侧风气动特性优化研究》", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
| 龚旭等: "《基于代理模型的集装箱载货车侧风下气动阻力的优化》", 《汽车工程》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110231179A (en) * | 2019-06-19 | 2019-09-13 | 中汽研（天津）汽车工程研究院有限公司 | A kind of vehicle cross-wind stability test method |
| CN110231179B (en) * | 2019-06-19 | 2021-04-23 | 中汽研（天津）汽车工程研究院有限公司 | Vehicle crosswind stability test method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107491616B (en) | Structure finite element parametric modeling method suitable for grid configuration control surface | |
| CN105205248B (en) | A kind of design method of the vehicle terrain trafficability simulation analysis component based on ODE physical engines | |
| Tomac et al. | From geometry to CFD grids—an automated approach for conceptual design | |
| CN107247830A (en) | A kind of automotive suspension K＆C characteristics tolerance optimization method and system | |
| CN105243243A (en) | Car body aerodynamic modeling optimization method based on free deformation technology | |
| CN103777911A (en) | Self-adaptive layering method in 3D (three-dimensional) printing | |
| Wang et al. | Dynamic coupling analysis of the aerodynamic performance of a sedan passing by the bridge pylon in a crosswind | |
| Walker et al. | Wing design utilizing topology optimization and additive manufacturing | |
| CN104462725B (en) | A kind of light weight optimal design method of veneer punching press lower control arm | |
| CN108595755A (en) | A kind of fast modeling method of new mars exploration aircraft Control-oriented | |
| Ogawa et al. | Quantitative representations of aerodynamic effects on handling response and flat ride of vehicles | |
| CN103177165A (en) | Coach body structure design system, coach side overturning simulation test system and method | |
| CN107368660B (en) | A kind of analysis method of predetermined period lattice material yield surface | |
| CN103366056A (en) | Machine part cylindricity error measuring method based on finite element analysis | |
| CN106096108A (en) | The optimization method of semi-mounted truck side wind stability based on agent model | |
| CN106777850A (en) | A kind of automobile component design method based on simplified assessment | |
| CN107256656B (en) | A kind of servo-actuated what comes into a driver's automobile driving simulator lag synthesis correction method | |
| Slotnick et al. | Navier-Stokes analysis of a high wing transport high-lift configuration with externally blown flaps | |
| Su et al. | Coupling analysis of transient aerodynamic and dynamic response of cars in overtaking under crosswinds | |
| Bodea et al. | The aerodynamic study of a body truck | |
| CN112100942B (en) | Method for constructing nonlinear turbulence model for capturing vortex system of passenger car | |
| Li et al. | Study on the aerodynamic performance of the high-speed train head with symmetrical and asymmetric nose shape | |
| Han et al. | Adjoint method for aerodynamic shape improvement | |
| Jia et al. | Generation of parametric aircraft models from a cloud of points | |
| Ragheb et al. | Rear wing spoiler effects on vehicle stability and aerodynamic performance |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20161109 |
|
| RJ01 | Rejection of invention patent application after publication |