CN107391891A - A kind of high aspect ratio wing Optimization Design based on Model Fusion method - Google Patents
A kind of high aspect ratio wing Optimization Design based on Model Fusion method Download PDFInfo
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Abstract
The present invention discloses a kind of high aspect ratio wing Optimization Design based on Model Fusion method, belongs to aircraft global optimization design field.The present invention will optimize the Optimized model for being divided into structure subject and system-level Optimized model according to demand, and Complex Constraints are handled using penalty function method;High and low precision pneumatic structure model of coupling is established using pneumatic structure Coupling method technology;Generate high and low precision sample point respectively using test design method;Call high and low precision structure model of coupling to obtain high and low precision sample information respectively and store;Using Model Fusion method, agent model is established with low accuracy model information fusion by high-precision;Solution is optimized with optimization method based on current agent model, judge whether optimum results are credible according to the difference of the true response at optimal solution and the agent model value based on Model Fusion method, insincere, return reconfigures Fusion Model and optimizes solution, it is credible then to export optimal design result, complete optimization design.
Description
Technical field
The present invention relates to a kind of high aspect ratio wing Optimization Design based on Model Fusion method, it is total to belong to aircraft
Body design optimizing field.
Background technology
High aspect ratio wing has the characteristics that lift-drag ratio is big, wing internal volume is big, is widely used in High Altitude UAV, the sun
In the aircraft such as energy aircraft, large-scale intercontinental passenger plane.This kind of aircraft is in flight course, and high aspect ratio wing is by aerodynamic loading
Influence, recurring structure deformation, influence of the amplitude of deformation to aeroperformance be fairly obvious.Therefore, high aspect ratio wing is carried out
Need to consider pneumatic structure coupled problem during analysis design., can be by hydrodynamics and structural capacity for pneumatic structure coupled problem
Learn and independently solved as single subject, and interdisciplinary data interaction is realized by software scheduling techniques, iterative realizes coupling point
Analysis.To improve coupling analysis precision, frequently with high accuracy analysis method such as Fluid Mechanics Computation method (CFD) and finite element analysis
Method (FEA) carries out analysis and solution to two single subjects respectively.However, high accuracy analysis model is improving analysis precision and credible
Also the problem of calculating is time-consuming is brought while spending, although computer nowadays software and hardware technology has had significant progress,
High accuracy analysis model is called to complete an iteration solution still extremely time-consuming.Such as completed once using CFD model pneumatic imitative
True analysis needs a few hours even tens of hours.High aspect ratio wing optimization design is also the process to iterate, is being optimized
Thousands of times are generally required in journey and calls high-precision model of coupling, further increases design cost, causes optimization design efficiency
It is very low.
In order to better illustrate technical scheme, the pneumatic structure Coupling method technology being applied to is carried out below
It is specific to introduce.
Pneumatic structure Coupling method technology:
With the increase of wing aspect ratio, the flexibility of wing is continuously increased, the coupling between its aeroperformance and structural behaviour
It is also more obvious to close phenomenon.And the key of pneumatic structure Coupling method technology is then the pneumatic information transmission between structure subject.
In existing ripe pneumatic structure Coupling method technology, often realize aerodynamic analysis result to structure using three-dimensional interpolation method
Subject transmission, while according to the coordinate at control point on the front and rear edge of wing after deformation determine to update the geometric shape of wing, weight
Pneumatic subject analysis is newly carried out, completes transmission of the structure subject analysis result to pneumatic subject.On the other hand, in pneumatic structure coupling
Build jointly in mould, the density degree of pneumatic subject grid often controls the calculating cost and model essence of whole model of coupling
Degree.Mesh-density is increased, analysis model precision can be improved, but can also increase calculating cost simultaneously.On the contrary, reduce mesh-density
Computational accuracy can then be reduced and reduce calculating cost.
The flow chart of pneumatic structure model of coupling is as shown in figure 1, specific method step is as follows:
Step 1. uses the model parameterization technology based on UG secondary development, foundation/renewal wing parameterized model.Geometry
The parameter of model parameterization includes geometry designs variable aspect ratio, contraction coefficient, angle of sweep, aerofoil profile parameter and for quantificational expression
The coordinate information at the wing front and rear edge position control point of construction profile deflection.Geometric shape file is exported after the completion of parametrization to use
Used in subsequent analysis, generally step forms or igs forms.
Step 2. establishes aerodynamic analysis model using CFD.Input geometric shape file, aerodynamic analysis work information include horse
Conspicuous number, the angle of attack, output aerodynamic analysis result include lift, Resistance Pressure information and aerodynamic force distribution file.It can be entered using Gambit
Row grid drawing, aerodynamic analysis solution is carried out using Fluent.
Step 3. establishes structure subject analysis model using FEA methods, carries out pre-treatment using Patran, Nastran makees
For post processing.Geometric shape file is inputted, material properties are carried out using PCL language, cell attribute definition and aerodynamic force load
Deng correlation analysis optimal setting.The SQP optimizers carried in Nastran can realize that structure subject optimizes.Final output structure point
Analysis structure includes maximum stress and the coordinate information at maximum displacement and wing front and rear edge control point.
If step 4. analysis for the first time repeats then by the control point coordinate information input model parameterized module after deformation
Step 2,3,4, if non-first time is analyzed, relative shift is calculated, shown in relative shift η calculating such as formula (1).When relative
Displacement is less than 0.01, and iteration terminates, and exports now aerodynamic analysis result, including lift-drag ratio, quality, maximum stress, dominant bit
Shifting and the optimum results of structure subject variable;When relative shift is more than 0.01, then repeat step 1,2,3,4, until relative
Displacement is less than 0.01, and iteration terminates.
I represents ith analysis in formula (1), and i-1 represents the last analysis of ith analysis.
The content of the invention
The problem of cost is too high is calculated during in high aspect ratio wing process of optimization, considering pneumatic structure coupling,
A kind of high aspect ratio wing Optimization Design based on Model Fusion method disclosed by the invention, technical problems to be solved are
In the case where ensureing precision, consider that pneumatic structure coupled problem realizes the effectively optimizing design of high aspect ratio wing, have such as
Lower advantage:Effective integration is carried out to high and low precision analysis model information using Model Fusion method, makes full use of low accuracy model
The precision of information assurance Fusion Model, the call number of high accuracy analysis model is reduced, so as to reduce calculating cost, improve great Zhan
Optimization design efficiency of the string than wing.
The purpose of the present invention is achieved through the following technical solutions.
A kind of high aspect ratio wing Optimization Design based on Model Fusion method disclosed by the invention, will according to design
Selection initial reference aerofoil profile and wing associated shape parameter are asked, determines design conditions;The excellent of structure subject is established according to demand
Change model and system-level Optimized model, and use penalty function method processing Complex Constraints;Built using pneumatic structure Coupling method technology
Found high and low precision high aspect ratio wing pneumatic structure model of coupling;Generate high and low precision respectively using test design method
Sample point;High and low precision high aspect ratio wing pneumatic structure model of coupling is called to obtain high and low precision sample information respectively
And store;Using Model Fusion method, merged high-precision with low accuracy model information, establish agent model implementation model
Precision and the comprehensive coordination for calculating cost;Solution is optimized using optimization method based on current agent model, according to optimal solution
The true response at place judges whether optimum results are credible with the difference of the agent model value based on Model Fusion method, if can not
Believe that then return reconfigures Fusion Model and optimize solution, optimal design result is exported if credible, that is, complete to consider pneumatically
Structure Coupling problem realizes the effectively optimizing design of high aspect ratio wing.
A kind of high aspect ratio wing Optimization Design based on Model Fusion method disclosed by the invention, including following step
Suddenly:
Step 1:According to design requirement, initial reference aerofoil profile and wing associated shape parameter are selected, determines design conditions.
Described design conditions include Mach number and the angle of attack.
Step 2:The Optimized model of structure subject and system-level Optimized model are established according to demand.
Step 2.1:The Optimized model of structure subject is established according to demand.
In order to while structural strength is ensured, quality be reduced to greatest extent, to machine during structural analysis
Each construction package of the wing carries out dimensionally-optimised.Design variable include skin thickness, web thickness, flange radius, web thickness,
Flange radius;Optimization aim is that architecture quality is minimum;Constraints constrains to meet that maximum stress constraint deforms with maximum displacement.
The optimization of structure subject is realized in structure subject analysis model.
Step 2.2:System-level Optimized model is established according to demand.
It is design variable that geometry design parameter is selected in system-level optimization, described design variable include aspect ratio, contraction coefficient,
Angle of sweep, and its bound is determined according to demand;Maximum, the minimum optimization aim of architecture quality, constraints bag with lift-drag ratio
It is constant less than displacement allowable and wing area less than allowable stress, structure maximum displacement to include structure maximum stress.
Step 3:High and low precision high aspect ratio wing pneumatic structure coupling point is established using pneumatic structure Coupling method technology
Analyse model.Pneumatic subject mesh-density is the principal element for calculating cost and computational accuracy, therefore is made in aerodynamic analysis model
Low precision analysis model is established with coarse grid, high-precision analysis model is established using refined net.
Realize that computational accuracy with calculating the coordination of cost, is built by the density degree of pneumatic subject mesh-density in step 3
Found the pneumatic structure model of coupling of high and low precision.
Step 4:N is generated respectively using test design methodhIndividual high-precision sample point and NlIndividual low precision sample point.Sample
Point quantity and system-level optimization design variable dimension nvIt is related.Need to include all high-precision samples in wherein low precision sample point
Point.
To realize the high efficiency for the high aspect ratio wing optimization design for considering pneumatic structure coupled problem, described in step 4
Test design method preferably use Latin hypercube experimental design method.
Sample point quantity preferably takes N depending on theory analysis, experiment or empirical valueh=(nv+3)*(nv+ 2), 4Nh≤Nl
≤6Nh。
Step 5:High and low precision high aspect ratio wing pneumatic structure model of coupling in invocation step 3, obtain step 4
In NhAnd NlModel response at sample point, store high and low precision sample point information.
Step 6:High and low precision sample point information is merged using Model Fusion method, establishes agent model.It is described
Agent model be the Fusion Model y that is made up of the agent model of correction model and the agent model of error models(x)。
The concrete methods of realizing of step 6 is as follows:
Step 6.1:According to high-precision sample and corresponding low precision sample information, low essence is obtained using least square method
Shown in the modifying factor such as formula (2) for spending high aspect ratio wing pneumatic structure coupling analysis sample point:
Wherein:NhFor high-precision high aspect ratio wing pneumatic structure coupling analysis sample point number;yh(xi) it is high-precision gas
The response of dynamic structure coupling analysis model, yl(xi) be low precision pneumatic structure model of coupling response, described sound
It should be worth including lift-drag ratio, architecture quality, structure maximum stress, structure maximum displacement;ρ0、ρ1For the coupling point of low precision pneumatic structure
The modifying factor of model sample point is analysed, each response has modifying factor corresponding to oneself.
Step 6.2:Using the modifying factor of the low precision pneumatic structure model of coupling sample point in step 6.1 to institute
There is low precision pneumatic structure model of coupling sample point to be modified, based on revised low precision pneumatic structure coupling analysis
Model sample information uses Kriging method construct agent models, the correction model of low precision pneumatic structure model of coupling
yl s(x) it is expressed as:
yl s(x)=ρ0+ρ1yl(x) (3)
Wherein yl(x) it is the response of low precision pneumatic structure model of coupling sample point, using formula (3) to all low
Precision pneumatic structure model of coupling sample points evidence, which is modified, obtains repairing for low precision pneumatic structure model of coupling
Positive model yl s(x).Low precision pneumatic structure model of coupling correction model y is completed using Kriging methodsl s(x) agency
Model ys s(x) construct.
Step 6.3:High-precision pneumatic structure coupling analysis model sample point and low precision in step 6.2 in calculation procedure 5
Error amount δ (x between the correction model of pneumatic structure model of couplingi), error amount δ (xi) obtained by formula (4) calculating:
δ(xi)=yh(xi)-yl s(xi)=yh(xi)-[ρ0+ρ1yl(xi)]) i=1,2,3 ... Nh) (4)
Based on control information δ (xi), using Kriging methods, complete the agent model δ of error models(x) construction.
Step 6.4:Build the agent model y by the correction model in step 6.2s s(x) with step 6.3 in error model
Agent model δs(x) the Fusion Model y of compositions(x), as shown in formula (5):
ys(x)=ys s(x)+δs(x) (5)
Described Fusion Model ys(x) it is the agent model of high-precision pneumatic structure coupling analysis model.
Step 7:Based on the Fusion Model y established in step 6s(x), using the complexity in penalty function process problem about
Beam, system optimization problem solving is carried out using optimized algorithm, obtains being based on present fusion model ys(x) optimal solution
Shown in described penalty function such as formula (6):
F (x)=f (x)+MP (x) M > 0
Wherein:F (x) is the optimization aim after processing, and f (x) is original optimization aim, and M is penalty factor, and P (x) is constraint
Degree of running counter to, gi(x) it is inequality constraints, hi(x) it is equality constraint, m is inequality constraints number, and l is constraint total number.
The preferred genetic algorithm of system optimization problem solving is carried out in step 7 using optimized algorithm to solve.
Step 8:High-precision high aspect ratio wing pneumatic structure model of coupling in invocation step 3, obtain step 7
In agent model optimal solutionThe true response at place.Calculate the true response of optimal solution and the difference of agent model value
Value, judges whether the optimum results are credible according to size of the difference.Return to step 4 if insincere, increase low precision high aspect ratio
Wing aerodynamic structure coupling analysis model sample point quantity, repeat step 5,6,7,8, until believable optimum results are obtained, if
It is credible then to export optimal design result, that is, complete to consider that the effectively optimizing of the high aspect ratio wing of pneumatic structure coupled problem is set
Meter.
Beneficial effect:
Need to consider that pneumatic structure coupled problem causes process of optimization to calculate when the 1st, designing for high aspect ratio wing
The problem of cost is difficult to bear, a kind of high aspect ratio wing optimization design side based on Model Fusion method disclosed by the invention
Method, realize analysis model precision with calculating the comprehensive coordination of cost by mesh density control.
2nd, a kind of high aspect ratio wing Optimization Design based on Model Fusion method disclosed by the invention, uses model
Fusion method merges high and low accuracy model efficient information, while design accuracy requirement is met, reduces high accuracy analysis mould
The calling amount of type, reduce and calculate cost, improve the design efficiency of high aspect ratio wing.
3rd, a kind of high aspect ratio wing Optimization Design based on Model Fusion method disclosed by the invention, using penalizing letter
Several modes is handled Complex Constraints problem, realizes the succinct of process of optimization and facility.
4th, a kind of high aspect ratio wing Optimization Design based on Model Fusion method disclosed by the invention, use are optimal
The reliability that the difference of true response and the agent model value of solution carries out optimal result judges, complete the renewal of Optimizing Flow with
Iteration.
5th, a kind of high aspect ratio wing Optimization Design based on Model Fusion method disclosed by the invention, utilize
Kriging agent model methods, the construction of the agent model of correction model and the agent model of error model is efficiently completed, is entered
And high and low accuracy model information is set more effectively to merge.
6th, a kind of high aspect ratio wing Optimization Design based on Model Fusion method disclosed by the invention, uses heredity
Algorithm optimizes solution, can avoid occurring the situation without solution in Optimization Solution, improve the solution of Optimum design of engineering structure problem
Feasibility.
Brief description of the drawings
Fig. 1 is high aspect ratio wing pneumatic structure coupling analysis flow chart;
Fig. 2 is the high aspect ratio wing Optimization Design flow chart for considering pneumatic structure coupling;
Fig. 3 is the high and low precision grid comparison diagram of pneumatic subject,
Wherein Fig. 3 a are high accuracy analysis model meshes, and Fig. 3 b are low precision analysis model meshes;
Fig. 4 is Model Fusion method flow diagram;
Embodiment
In order to which technical scheme and advantage is better described, set below by the optimization of specific high aspect ratio wing
Example is counted, and the present invention will be further described with form with reference to accompanying drawing, embodiment is as follows.
A kind of high aspect ratio wing Optimization Design based on Model Fusion method disclosed in the present embodiment, flow chart is such as
Shown in Fig. 2, specific implementation step is as follows:
Step 1:It is flight Mach number Ma=that laminar flow airfoil NACA64A816, which is chosen, as the initial aerofoil profile of benchmark, design conditions
0.64, angle of attack=2 ° wing shapes are determined by the initial value of system variable, specific as shown in table 2.
Step 2:The Optimized model of structure subject and system-level Optimized model are established according to demand.
Step 2.1:The Optimized model of structure subject is established according to demand.
Each construction package progress to wing in the Optimized model of structure subject is dimensionally-optimised.Select each wing box
Skin thickness (Tskin), the web thickness (T of each ribrib), the flange radius (R of each ribrib), the web of each spar
Thickness (Tspar), the flange radius (R up and down of each sparspar), as structure subject optimization design variable.Constraints includes
Structure maximum stress σmaxLess than allowable stress 100MPa, structure maximum displacement δmaxLess than displacement 900mm allowable.Structure optimization mesh
The architecture quality W for being designated as wing is minimum.The optimization of structure subject is realized in structure subject analysis model.Model of structural optimization is such as
Shown in following formula (7).
Wherein, xstrucFor structure subject optimization design variable, xstruc lbAnd xstruc ubRespectively structure design variable is upper
Limit and lower limit, design variable value are as shown in table 1.
The structure design variable of table 1 and excursion
Step 2.2:System-level Optimized model is established according to demand.
It is design variable that geometry design parameter is selected in system-level optimization, and described geometry design parameter includes aspect ratio, root
Tip ratio, angle of sweep, and its bound is determined according to demand, as shown in table 2;To tie lift-drag ratio D/L maximums, architecture quality W is minimum
For optimization aim, constraints includes structure maximum stress σmaxLess than allowable stress 100MPa, structure maximum displacement δmaxIt is less than
Displacement 900mm and wing area allowable it is constant it is constant be 50.17m2.Shown in system-level Optimized model such as formula (8).
Min F (X)=1/2 × Cweight+1/2×CD/L
s.t.σmax≤100Mpa (8)
δmax≤900mm
Xlb≤X≤Xub
S=50.17m2
F (X) is complex optimum target, obtained by two optimization aim architecture quality W and lift-drag ratio D/L linear weighted functions,
The weight of two optimization aims is identical in this example is taken as 1/2.Because the order of magnitude of each target differs, using first
The architecture quality W of beginning wingbaselineWith the lift-drag ratio (D/L) of initial wingbaselineRespectively to optimization aim architecture quality with rising
Resistance ratio does normalized, the object function response C after being normalizedweightAnd CD/L.X is design variable, XlbAnd XubPoint
Not Wei design variable bound, specific value is as shown in table 2.
The system level design variable of table 2 and excursion
Step 3:High high aspect ratio wing aerodynamic structure coupling analysis model is established using pneumatic structure Coupling method technology
With low precision high aspect ratio wing pneumatic structure model of coupling.In this step, adjusted and realized by grid drawing density
The differentiation of high and low precision analysis model.In the present embodiment, high-precision mesh-density is twice of low precision, as shown in Figure 3.
In structure subject analysis model, the FEM model cell attribute definition of structure subject is as shown in table 3, is carried using Nastran
SQP optimizers complete structure subject optimization, its Optimized model be step 2.1 in structure subject Optimized model described in.
The FEM model cell attribute of table 3
Step 4:High-precision model sample point and low accuracy model sample are generated using Latin hypercube experimental design method
Point.In the present invention, calculate cost and time calculating is calculated with CPU.By experiment statisticses, each high accuracy analysis model needs about
20 minutes, the calculating cost of each low precision analysis model was about 3 minutes.30 high-precision samples are generated for Model Fusion method
This point and 130 low precision sample points.In order to carry out efficiency comparative, while generate 50 high-precision sample points and (calculate cost about
For 30 high accuracy analysis and 130 low precision analysis sums) it is used to construct the agent model using conventional method.
It is direct for Kriging methods are used alone in the implementation case that above-mentioned use conventional method constructs agent model
Construct the agent model of high-precision high aspect ratio wing pneumatic structure model of coupling.
Step 5:High and low precision high aspect ratio wing pneumatic structure model of coupling in invocation step 3, obtain step 4
In 30 high-precision sample points and 130 low precision sample points at model response, store high and low precision high aspect ratio machine
Wing pneumatic structure model of coupling sample point information.In order to carry out efficiency comparative, 50 need to be obtained simultaneously and is based on for construction
Model response at the high-precision sample point of the agent model of conventional method.
Step 6:Using Model Fusion method by 30 high-precision sample point information in step 5 and 130 low precision samples
This information is merged, and establishes the high-precision great Zhan strings wing aerodynamic structure coupling analysis model based on Model Fusion method
Agent model.Its particular flow sheet is as shown in Figure 4.It is meanwhile direct based on conventional method using 50 high-precision sample point information
Construct the agent model of high-precision great Zhan strings wing aerodynamic structure coupling analysis model.
Step 7:The agent model that Model Fusion method is established and conventional method method structure are utilized based on what step 6 was established
The agent model made, is optimized using genetic algorithm.The mode of penalty function is used for the Complex Constraints in the optimization problem
Handled, penalty factor is taken as 1000.Respectively obtain optimal solution based on Model Fusion method and based on conventional method most
Excellent solution.
Step 8:High-precision high aspect ratio wing pneumatic structure model of coupling in invocation step 3, obtain step 7
In agent model optimal solutionThe true response at place.Calculate the true response of optimal solution and the difference of agent model value
Value, judges whether the optimum results are credible according to size of the difference.Return to step 4 if insincere, increase low precision high aspect ratio
Wing aerodynamic structure coupling analysis model sample point quantity, repeat step 5,6,7,8, until believable optimum results are obtained, if
It is credible then to export optimal design result, that is, complete to consider that the effectively optimizing of the high aspect ratio wing of pneumatic structure coupled problem is set
Meter.
Statistical system optimum results are as shown in table 4, and structure subject optimum results are as shown in table 5.
The three-dimensional wing system optimization result of table 4
Table 4 is observed, contrast uses the Optimum Design Results of two methods, it is possible to find lift-drag ratio has smaller improvement, but structure
Mass change is obvious.Using the Optimization Design in the present invention, quality reduces by 54%, and matter in the optimum results of conventional method
Amount only reduces by 4%.The use of the complex optimum desired value after the normalization after the inventive method is 0.7258, much smaller than identical meter
It is counted as the optimum results of this lower conventional method.Simultaneously using real goal value during Optimization Design of the present invention and agent model value
Difference it is smaller, illustrate the present invention Optimization Design there is higher precision.Contrasted by experimental result, draw this hair
For bright method compared to conventional method, not only model accuracy is higher in the case of identical calculations cost, and optimizes with more preferable
Design result.Therefore, using a kind of high aspect ratio wing Optimization Design based on Model Fusion method proposed by the present invention
Precision can ensured simultaneously by carrying out high aspect ratio wing optimization design, the calling amount of high accuracy analysis model be reduced, so as to drop
Low calculating cost, improve the optimization design efficiency of high aspect ratio wing.
The three-dimensional wing structure optimization result of table 5
Visible according to foregoing specific high aspect ratio wing Optimal Example analysis, the present invention can realize expected invention mesh
, compared to traditional high aspect ratio wing Optimization Design, the present invention is favorably improved high aspect ratio wing optimization design
As a result with designing quality;On the other hand, it is related to the optimization problem of high aspect ratio wing high accuracy analysis model, the present invention can also be big
The optimization efficiency improved greatly, optimization design cost is reduced, shorten the optimization design cycle.
Above-described specific descriptions, the purpose, technical scheme and beneficial effect of invention are carried out further specifically
It is bright, the specific embodiment that the foregoing is only the present invention is should be understood that, for explaining the present invention, is not used to limit this
The protection domain of invention, within the spirit and principles of the invention, any modification, equivalent substitution and improvements done etc. all should
Within protection scope of the present invention.
Claims (7)
- A kind of 1. high aspect ratio wing Optimization Design based on Model Fusion method, it is characterised in that:Comprise the following steps,Step 1:According to design requirement, initial reference aerofoil profile and wing associated shape parameter are selected, determines design conditions;Step 2:The Optimized model of structure subject and system-level Optimized model are established according to demand;Step 3:High and low precision high aspect ratio wing pneumatic structure coupling analysis mould is established using pneumatic structure Coupling method technology Type;Pneumatic subject mesh-density is the principal element for calculating cost and computational accuracy, therefore using thick in aerodynamic analysis model Grid establishes low precision analysis model, and high-precision analysis model is established using refined net;Step 4:N is generated respectively using test design methodhHigh-precision sample point and NlIndividual low precision sample point;Sample point quantity With system-level optimization design variable dimension nvIt is related;Need to include all high-precision sample points in wherein low precision sample point;Step 5:High and low precision high aspect ratio wing pneumatic structure model of coupling in invocation step 3, obtain the N in step 4h And NlModel response at sample point, store high and low precision sample point information;Step 6:High and low precision sample point information is merged using Model Fusion method, establishes agent model;Described generation Reason model is the Fusion Model y being made up of the agent model of correction model and the agent model of error models(x);Step 7:Based on the Fusion Model y established in step 6s(x), using the Complex Constraints in penalty function process problem, use Optimized algorithm carries out system optimization problem solving, obtains being based on present fusion model ys(x) optimal solutionShown in described penalty function such as formula (6):<mrow> <mtable> <mtr> <mtd> <mtable> <mtr> <mtd> <mrow> <mi>F</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>=</mo> <mi>f</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>+</mo> <mi>M</mi> <mi>P</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> </mrow> </mtd> <mtd> <mrow> <mi>M</mi> <mo>></mo> <mn>0</mn> </mrow> </mtd> </mtr> </mtable> </mtd> </mtr> <mtr> <mtd> <mrow> <mi>P</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>=</mo> <munderover> <mi>&Sigma;</mi> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>m</mi> </munderover> <mrow> <mo>(</mo> <mi>max</mi> <mo>(</mo> <mrow> <mn>0</mn> <mo>,</mo> <msub> <mi>g</mi> <mi>i</mi> </msub> <msup> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mn>2</mn> </msup> </mrow> <mo>)</mo> <mo>)</mo> </mrow> <mo>+</mo> <munderover> <mi>&Sigma;</mi> <mrow> <mi>i</mi> <mo>=</mo> <mi>m</mi> <mo>+</mo> <mn>1</mn> </mrow> <mi>l</mi> </munderover> <msub> <mi>h</mi> <mi>i</mi> </msub> <msup> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mn>2</mn> </msup> </mrow> </mtd> </mtr> </mtable> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>1</mn> <mo>)</mo> </mrow> </mrow>Wherein:F (x) is the optimization aim after processing, and f (x) is original optimization aim, and M is penalty factor, and P (x) runs counter to for constraint Degree, gi(x) it is inequality constraints, hi(x) it is equality constraint, m is inequality constraints number, and l is constraint total number;Step 8:High-precision high aspect ratio wing pneumatic structure model of coupling in invocation step 3, obtain in step 7 The optimal solution of agent modelThe true response at place;Calculate the true response of optimal solution and the difference of agent model value, root Judge whether the optimum results are credible according to size of the difference;Return to step 4 if insincere, increase low precision high aspect ratio wing gas Dynamic structure coupling analysis model sample point quantity, repeat step 5,6,7,8, until believable optimum results are obtained, if credible Optimal design result is exported, that is, completes to consider the effectively optimizing design of the high aspect ratio wing of pneumatic structure coupled problem.
- 2. a kind of high aspect ratio wing Optimization Design based on Model Fusion method as claimed in claim 1, its feature It is:Step 2 concrete methods of realizing is,Step 2.1:The Optimized model of structure subject is established according to demand;In order to while structural strength is ensured, quality be reduced to greatest extent, to wing during structural analysis Each construction package carries out dimensionally-optimised;Design variable includes skin thickness, web thickness, flange radius, web thickness, flange Radius;Optimization aim is that architecture quality is minimum;Constraints constrains to meet that maximum stress constraint deforms with maximum displacement;Structure The optimization of subject is realized in structure subject analysis model;Step 2.2:System-level Optimized model is established according to demand;It is design variable that geometry design parameter is selected in system-level optimization, and described design variable includes aspect ratio, contraction coefficient, sweepback Angle, and its bound is determined according to demand;Maximum, the minimum optimization aim of architecture quality with lift-drag ratio, constraints include knot Structure maximum stress is less than allowable stress, structure maximum displacement is less than displacement allowable and wing area is constant.
- 3. a kind of high aspect ratio wing Optimization Design based on Model Fusion method as claimed in claim 1 or 2, it is special Sign is:Computational accuracy is realized by the density degree of pneumatic subject mesh-density in step 3 and calculates the coordination of cost, is established The pneumatic structure model of coupling of high and low precision.
- 4. a kind of high aspect ratio wing Optimization Design based on Model Fusion method as claimed in claim 3, its feature It is:The concrete methods of realizing of step 6 is as follows:Step 6.1:According to high-precision sample and corresponding low precision sample information, it is big to obtain low precision using least square method Shown in the modifying factor such as formula (2) of aspect ratio wing aerodynamic structure coupling analysis sample point:<mrow> <mi>min</mi> <mi> </mi> <mi>L</mi> <mrow> <mo>(</mo> <msub> <mi>&rho;</mi> <mn>0</mn> </msub> <mo>,</mo> <msub> <mi>&rho;</mi> <mn>1</mn> </msub> <mo>)</mo> </mrow> <mo>=</mo> <munderover> <mo>&Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <msup> <mi>N</mi> <mi>h</mi> </msup> </munderover> <msup> <mrow> <mo>&lsqb;</mo> <msub> <mi>&rho;</mi> <mn>0</mn> </msub> <mo>+</mo> <msub> <mi>&rho;</mi> <mn>1</mn> </msub> <msup> <mi>y</mi> <mi>l</mi> </msup> <mrow> <mo>(</mo> <msub> <mi>x</mi> <mi>i</mi> </msub> <mo>)</mo> </mrow> <mo>-</mo> <msup> <mi>y</mi> <mi>h</mi> </msup> <mrow> <mo>(</mo> <msub> <mi>x</mi> <mi>i</mi> </msub> <mo>)</mo> </mrow> <mo>&rsqb;</mo> </mrow> <mn>2</mn> </msup> <mo>,</mo> <mrow> <mo>(</mo> <mi>i</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>2</mn> <mo>,</mo> <mn>3</mn> <mo>...</mo> <msup> <mi>N</mi> <mi>h</mi> </msup> <mo>)</mo> </mrow> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>2</mn> <mo>)</mo> </mrow> </mrow>Wherein:NhFor high-precision high aspect ratio wing pneumatic structure coupling analysis sample point number;yh(xi) it is high-precision pneumatic knot The response of structure model of coupling, yl(xi) be low precision pneumatic structure model of coupling response, described response Including lift-drag ratio, architecture quality, structure maximum stress, structure maximum displacement;ρ0、ρ1For low precision pneumatic structure coupling analysis mould The modifying factor of type sample point, each response have modifying factor corresponding to oneself;Step 6.2:Using the modifying factor of the low precision pneumatic structure model of coupling sample point in step 6.1 to all low Precision pneumatic structure model of coupling sample point is modified, based on revised low precision pneumatic structure model of coupling Sample information uses Kriging method construct agent models, the correction model y of low precision pneumatic structure model of couplingl s(x) It is expressed as:yl s(x)=ρ0+ρ1yl(x) (3)Wherein yl(x) it is the response of low precision pneumatic structure model of coupling sample point, using formula (3) to all low precision Pneumatic structure model of coupling sample points evidence is modified the amendment mould for obtaining low precision pneumatic structure model of coupling Type yl s(x);Low precision pneumatic structure model of coupling correction model y is completed using Kriging methodsl s(x) agent model ys s(x) construct;Step 6.3:High-precision pneumatic structure coupling analysis model sample point and low precision in step 6.2 are pneumatic in calculation procedure 5 Error amount δ (x between the correction model of structure coupling analysis modeli), error amount δ (xi) obtained by formula (4) calculating:δ(xi)=yh(xi)-yl s(xi)=yh(xi)-[ρ0+ρ1yl(xi)] (i=1,2,3 ... Nh) (4)Based on control information δ (xi), using Kriging methods, complete the agent model δ of error models(x) construction;Step 6.4:Build the agent model y by the correction model in step 6.2s s(x) generation of the error model and in step 6.3 Manage model δs(x) the Fusion Model y of compositions(x), as shown in formula (5):ys(x)=ys s(x)+δs(x) (5)Described Fusion Model ys(x) it is the agent model of high-precision pneumatic structure coupling analysis model.
- 5. a kind of high aspect ratio wing Optimization Design based on Model Fusion method as claimed in claim 4, its feature It is:To realize the high efficiency for the high aspect ratio wing optimization design for considering pneumatic structure coupled problem, the examination described in step 4 Test design method and use Latin hypercube experimental design method.
- 6. a kind of high aspect ratio wing Optimization Design based on Model Fusion method as claimed in claim 5, its feature It is:Sample point quantity takes N depending on theory analysis, experiment or empirical value in step 4h=(nv+3)*(nv+ 2), 4Nh≤Nl ≤6Nh。
- 7. a kind of high aspect ratio wing Optimization Design based on Model Fusion method as claimed in claim 6, its feature It is:Carrying out system optimization problem solving using optimized algorithm in step 7 selects genetic algorithm to solve.
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Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0271561A4 (en) * | 1986-06-02 | 1989-10-27 | Grumman Aerospace Corp | Transonic wing design procedure. |
US5039032A (en) * | 1988-11-07 | 1991-08-13 | The Boeing Company | High taper wing tip extension |
US6553333B1 (en) * | 2000-05-31 | 2003-04-22 | The United States Of America As Represented By The Secretary Of The Air Force | System and method for calculating aerodynamic performance of tilting wing aircraft |
CN101944141A (en) * | 2010-08-18 | 2011-01-12 | 北京理工大学 | High-efficiency global optimization method using adaptive radial basis function based on fuzzy clustering |
CN102682173A (en) * | 2012-05-13 | 2012-09-19 | 北京理工大学 | Optimization design method based on self-adaptive radial basis function surrogate model for aircraft |
CN103473424A (en) * | 2013-09-23 | 2013-12-25 | 北京理工大学 | Optimum design method for aircraft system based on sequence radial basis function surrogate model |
CN105678015A (en) * | 2016-02-04 | 2016-06-15 | 北京航空航天大学 | Non-probabilistic reliability pneumatic structure coupling optimization design method for hypersonic velocity three-dimensional wing |
CN105843073A (en) * | 2016-03-23 | 2016-08-10 | 北京航空航天大学 | Method for analyzing wing structure aero-elasticity stability based on aerodynamic force uncertain order reduction |
CN106529093A (en) * | 2016-12-15 | 2017-03-22 | 北京航空航天大学 | Pneumatic/structure/static aeroelasticity coupling optimizing method for high-aspect-ratio wing |
-
2017
- 2017-09-05 CN CN201710790069.2A patent/CN107391891B/en active Active
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0271561A4 (en) * | 1986-06-02 | 1989-10-27 | Grumman Aerospace Corp | Transonic wing design procedure. |
US5039032A (en) * | 1988-11-07 | 1991-08-13 | The Boeing Company | High taper wing tip extension |
US6553333B1 (en) * | 2000-05-31 | 2003-04-22 | The United States Of America As Represented By The Secretary Of The Air Force | System and method for calculating aerodynamic performance of tilting wing aircraft |
CN101944141A (en) * | 2010-08-18 | 2011-01-12 | 北京理工大学 | High-efficiency global optimization method using adaptive radial basis function based on fuzzy clustering |
CN102682173A (en) * | 2012-05-13 | 2012-09-19 | 北京理工大学 | Optimization design method based on self-adaptive radial basis function surrogate model for aircraft |
CN103473424A (en) * | 2013-09-23 | 2013-12-25 | 北京理工大学 | Optimum design method for aircraft system based on sequence radial basis function surrogate model |
CN105678015A (en) * | 2016-02-04 | 2016-06-15 | 北京航空航天大学 | Non-probabilistic reliability pneumatic structure coupling optimization design method for hypersonic velocity three-dimensional wing |
CN105843073A (en) * | 2016-03-23 | 2016-08-10 | 北京航空航天大学 | Method for analyzing wing structure aero-elasticity stability based on aerodynamic force uncertain order reduction |
CN106529093A (en) * | 2016-12-15 | 2017-03-22 | 北京航空航天大学 | Pneumatic/structure/static aeroelasticity coupling optimizing method for high-aspect-ratio wing |
Non-Patent Citations (7)
Title |
---|
JOAQUIM R. R. A. MARTINS ET AL: "High-Fidelity Aero-Structural Design Optimization of a Supersonic Business Jet", 《43RD AIAA/ASME/ASCE/AHS/ASC STRUCTURES,STRUCTURAL DYNAMICS, AND MATERIALS CONFERENCE》 * |
MARTINS J ET AL: "Aero-structural wing design optimization using high-fidelity sensitivity analysis", 《CEAS CONFERENCE ON MULTIDISCIPLINARY AIRCRAFT DESIGN OPTIMIZATION》 * |
S.RAJAGOPAL ET AL: "Multidisciplinary Design Optimization of an UAV Wing Using Kriging Based Multi-Object Genetic Algorithm", 《50TH AIAA/ASME/ASCE/AHS/ASC STRUCTURES,STRUCTURAL DYNAMICS, AND MATERIALS CONFERENCE》 * |
刘克龙等: "基于高精度模型的机翼气动结构多学科设计优化方法", 《中国科技论文在线》 * |
朱华光等: "机翼气动结构多学科设计优化研究", 《北京理工大学学报》 * |
李昱霖等: "高速飞行器气动热结构耦合分析及优化设计", 《弹箭与制导学报》 * |
龙腾等: "基于计算试验设计与代理模型的飞行器近似优化策略探讨", 《机械工程学报》 * |
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