CN105912809A - Structure steady design method with uncertain load action point position - Google Patents

Structure steady design method with uncertain load action point position Download PDF

Info

Publication number
CN105912809A
CN105912809A CN201610280539.6A CN201610280539A CN105912809A CN 105912809 A CN105912809 A CN 105912809A CN 201610280539 A CN201610280539 A CN 201610280539A CN 105912809 A CN105912809 A CN 105912809A
Authority
CN
China
Prior art keywords
rho
action point
sigma
load position
uncertain
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
Application number
CN201610280539.6A
Other languages
Chinese (zh)
Inventor
付志方
赵军鹏
王春洁
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beihang University
Original Assignee
Beihang University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Beihang University filed Critical Beihang University
Priority to CN201610280539.6A priority Critical patent/CN105912809A/en
Publication of CN105912809A publication Critical patent/CN105912809A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/13Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/23Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]

Abstract

The invention relates to a structure steady design method with an uncertain load action point position. The structure steady design method with the uncertain load action point position comprises the following steps: S1: establishing a continuous body structure steady optimization model; S2: according to a distribution form of the load action point position borne by the structure, and a Gaussian quadrature node position, selecting a plurality of foundation working conditions; S3: initializing a design variable; S4: carrying out finite element analysis on each foundation working condition to obtain a corresponding structure displacement vector; S5: calculating the mean value and the standard deviation of structural flexibility; S6: carrying out sensitivity analysis on the structure; S7: utilizing an asymptote method to update the design variable; and S8: judging whether a termination condition can be met or not, stopping iteration if the termination condition can be met, and otherwise, repeating S4 to S7 until an iteration termination condition is met. The structure steady design method has the advantages of being small in calculation amount, high in relative precision, and simple in implementation on the basis of a traditional topological optimization foundation.

Description

A kind of load position of action point uncertain structure robust design method
Technical field
The present invention relates to structural Topology Optimization technical field, particularly relate to a kind of uncertain structure of load position of action point Robust design method.
Background technology
Under normal circumstances, structural Topology Optimization completes under certain conditions, but this optimum structure is outside opposing Being likely to be comparison during boundary's disturbance fragile, therefore the structural Topology Optimization problem under research condition of uncertainty is necessary 's.There is all kinds of uncertainty in actual design process, as load is uncertain, material is uncertain, and manufacture process produces Physical dimension and border are uncertain.Load is uncertain is divided into again that magnitude of load is uncertain, loading direction is uncertain and load is made Uncertain with a position.The uncertain impact on structural system of load position of action point is relatively big, designs relative to deterministic optimization Method, it is considered to load position of action point probabilistic Robust Optimal Design method can obtain more stable structure.Load The technological difficulties of position of action point uncertain structure robust design method are that the calculating application point of how precise and high efficiency is uncertain The average of structural compliance and standard deviation and its sensitivity to design variable under load.
The optimization aim of random optimization design method of the prior art is that quality minimizes, and is constrained to load position the most true Fix the probability decision degree of flexibility.In prior art, probabilistic type optimum topology design method mainly processes load position of action point and is The structure of the continuous type under random case, its Optimized model is to minimize discrete topology weight under the constraint on flexibility and border Weighted sum.Above two method be mainly used in load position of action point uncertain under non-individual body topology based on reliability excellent Changing, and optimization is to be minimised as target with architecture quality, the probability that flexibility meets is constraint.
Prior art lacks based on load position of action point uncertain robustness topological optimization.But, Practical Project Middle load position of action point is uncertain the most common, and research load position of action point uncertain robustness topological optimization has very much must Want.
Summary of the invention
The technical problem to be solved is: how to provide a kind of uncertain robustness of load position of action point to open up Flutter optimization method.
For solving above-mentioned technical problem, the present invention proposes a kind of load position of action point uncertain structure based Robust Design Method, the method load position of action point uncertain structure robust design method includes:
S1: set up the sane Optimized model of Continuum Structure:
S2: the distribution form of the load position of action point born according to structure and Gaussian quadrature node location, choose Multiple bases operating mode;
S3: initialization design variable;
S4: each basis operating mode is carried out finite element analysis and obtains corresponding displacement structure vector;
S5: the average of computation structure flexibility and standard deviation;
S6: structure is carried out sensitivity analysis;
S7: utilize asymptote method to update design variable;
S8: judge whether to meet end condition, if meeting, then stops iteration;Otherwise repeat S4 to S7 until meeting iteration End condition.
Alternatively, the sane Optimized model of described Continuum Structure includes:
S.t.:Ku (ω)=f (ω) (ω ∈ Θ)
0≤ρ≤1
Wherein, J is that object function, μ (c) and σ (c) are respectively the average of structural compliance c and standard deviation, α and β be two non- Bear real number and meet alpha+beta=1;K is structure Bulk stiffness matrix, f (ω) and u (ω) be respectively load and the displacement of structure to Amount, ω is for representing the uncertainty of load position of action point;M is discrete number of unit, veAnd ρeIt is respectively the volume of unit And density, g is the inequality constraints of the sane Optimized model of Continuum Structure, and V is to calculate the volumetric usage obtained, V every timemaxFor Given material volume consumption;ρ is by ρe(e=1 ..., vector m) formed.
Alternatively, choose multiple bases operating mode described in include:
According to the probability-distribution function of load position of action point, find the Gaussian quadrature node of its correspondence, each point is executed Add load and set up a kind of operating mode, select n basis operating mode f1,…,fn
Wherein, n is the quadrature nodes of Gauss integration.
Alternatively, described initialization design variable includes:
Identical density is given by all of unit
Alternatively, described each basis operating mode is carried out finite element analysis obtain corresponding displacement structure vector and include:
To each basis operating mode f1,…,fnCarry out finite element finite meta analysis and obtain corresponding displacement structure vector u1,…, un
Alternatively, the average of described computation structure flexibility includes with standard deviation:
The average of structural compliance is:
The variance of structural compliance is:
Wherein, c (xi, ρ) and=f (xi)u(xi) represent load f (xi) at displacement components u (xi) upper power, xiRepresent i-th Operating loading position of action point, AiRepresent Gaussian quadrature coefficient.
Alternatively, described structure carried out sensitivity analysis include:
According to the expression formula of structural compliance average Yu variance, object function is for each unit density pePartial derivative be:
Retraining the sensitivity for each unit density is:
Alternatively, described utilize asymptote method update design variable include:
Approximate function according to the sensitivity information structure object function that sensitivity analysis obtains:
Wherein, ρ(k)For current iteration point,WithFor mobile asymptote, its Iteration is:
For design variable ρeCurrency,WithIt is respectively ρeBound;
This approximate function is utilized to replace the object function in former optimization problem to form optimization subproblem;
Design variable after utilizing Dual Method to solve this optimization subproblem and being updated.
Alternatively, described in judge whether to meet end condition, if meeting, then stop iteration, otherwise repeat S4 to S7 until Meet stopping criterion for iteration to include:
If iterations has reached maximum times or twice iteration variable density amount of various discrete unit is respectively less than given Value, then stop iteration;Otherwise continue iterative process.
The load position of action point uncertain structure robust design method that the present invention provides, based on known load effect The point regularity of distribution, regards by structural compliance as the function of position of action point as, uses displacement superposed principle and the Gauss of linear structure The flexibility average of quadrature formula computation structure and standard deviation, and object function is carried out sensitivity analysis.The method amount of calculation is little And relative accuracy is higher, implement the simplest on the basis of existing topological optimization.
Accompanying drawing explanation
By being more clearly understood from the features and advantages of the present invention with reference to accompanying drawing, accompanying drawing is schematic and should not manage Solve as the present invention is carried out any restriction, in the accompanying drawings:
Fig. 1 shows the stream of the load position of action point uncertain structure robust design method of one embodiment of the invention Journey schematic diagram;
Fig. 2 shows the foundation structure of one embodiment of the invention and border and load-up condition;
Fig. 3 a, Fig. 3 b, Fig. 3 c show three kinds of load position of action point distribution schematic diagrams of one embodiment of the invention;
Fig. 4 shows and does not considers the probabilistic optimum results of load position of action point;
Fig. 5 shows the consideration load position of action point sane optimum results of uncertain structure.
Detailed description of the invention
Below in conjunction with accompanying drawing, embodiments of the present invention is described in detail.
Fig. 1 shows the stream of the load position of action point uncertain structure robust design method of one embodiment of the invention Journey schematic diagram.As it is shown in figure 1, the load position of action point uncertain structure robust design method of this embodiment, including:
S1: set up the sane Optimized model of Continuum Structure:
S2: the distribution form of the load position of action point born according to structure and Gaussian quadrature node location, choose Multiple bases operating mode;
S3: initialization design variable;
S4: each basis operating mode is carried out finite element analysis and obtains corresponding displacement structure vector;
S5: the average of computation structure flexibility and standard deviation;
S6: structure is carried out sensitivity analysis;
S7: utilize asymptote method to update design variable;
S8: judge whether to meet end condition, if meeting, then stops iteration;Otherwise repeat S4 to S7 until meeting iteration End condition.
The load position of action point uncertain structure robust design method of the present embodiment, based on known load application point The regularity of distribution, regards by structural compliance as the function of position of action point as, uses the displacement superposed principle of linear structure and Gauss to ask The flexibility average of long-pending formula computation structure and standard deviation, and object function is carried out sensitivity analysis.The method amount of calculation little and Relative accuracy is higher, implements the simplest on the basis of existing topological optimization.
In the optional embodiment of one, the sane Optimized model of described Continuum Structure includes:
S.t.:Ku (ω)=f (ω) (ω ∈ Θ)
0≤ρ≤1
Wherein, J is that object function, μ (c) and σ (c) are respectively the average of structural compliance c and standard deviation, α and β be two non- Bear real number and meet alpha+beta=1;K is structure Bulk stiffness matrix, f (ω) and u (ω) be respectively load and the displacement of structure to Amount, ω is for representing the uncertainty of load position of action point;M is discrete number of unit, veAnd ρeIt is respectively the volume of unit And density, g is the inequality constraints of the sane Optimized model of Continuum Structure, and V is to calculate the volumetric usage obtained, V every timemaxFor Given material volume consumption;ρ is by ρe(e=1 ..., vector m) formed.
Foundation and the method for " the setting up the sane Optimized model of Continuum Structure " of the embodiment of the present invention be: in certain load Under the conditions of, the flexibility of structure is the least, and its ability bearing external applied load is the strongest.Under load position of action point condition of uncertainty, knot The flexibility of structure can change along with the change of load position, the mean μ (c) of structural compliance to be reduced during design structure, also The fluctuation that structural compliance to be reduced causes with load change, i.e. reduces the standard deviation sigma (c) of structural compliance.The present invention is with continuously The minimum target of weighted sum J=α μ (c)+β σ (c) of body structural compliance mean μ (c) and standard deviation sigma (c) sets up Optimized model, number Learn and express simple and physical significance definitely.
Further, choose multiple bases operating mode described in include:
According to the probability-distribution function of load position of action point, find the Gaussian quadrature node of its correspondence, each point is executed Add load and set up a kind of operating mode, select n basis operating mode f1,…,fn
Wherein, n is the quadrature nodes of Gauss integration.
Further, described initialization design variable includes:
Identical density is given by all of unit
Described each basis operating mode is carried out finite element analysis obtain corresponding displacement structure vector and include:
To each basis operating mode f1,…,fnCarry out finite element finite meta analysis and obtain corresponding displacement structure vector u1,…, un
Specifically, the average of described computation structure flexibility includes with standard deviation:
The average of structural compliance is:
The variance of structural compliance is:
Wherein, c (xi, ρ) and=f (xi)u(xi) represent load f (xi) at displacement components u (xi) upper power, xiRepresent i-th Operating loading position of action point, AiRepresent Gaussian quadrature coefficient.
Described structure carried out sensitivity analysis include:
According to the expression formula of structural compliance average Yu variance, object function is for each unit density pePartial derivative be:
Retraining the sensitivity for each unit density is:
Described utilize asymptote method update design variable include:
Approximate function according to the sensitivity information structure object function that sensitivity analysis obtains:
Wherein, ρ(k)For current iteration point,WithFor mobile asymptote, its Iteration is:
For design variable ρeCurrency,WithIt is respectively ρeBound;
This approximate function is utilized to replace the object function in former optimization problem to form optimization subproblem;
Design variable after utilizing Dual Method to solve this optimization subproblem and being updated.
Specifically, described in judge whether to meet end condition, if meeting, then stop iteration, otherwise repeat S4 to S7 until Meet stopping criterion for iteration to include:
If iterations has reached maximum times or twice iteration variable density amount of various discrete unit is respectively less than given Value, then stop iteration;Otherwise continue iterative process.
The load position of action point uncertain structure robust design method of the present embodiment, based on Gauss quadrature formula, will carry The uncertain topology optimization problem of lotus position of action point is converted into multi-state certainty topological optimization form, to a small amount of load working condition Carry out structural analysis and i.e. can get high precision solution;Theory of algorithm basis is simple herein, it is easy to implement and the scope of application is wider, can Being applicable to load position of action point is the uncertainty under various distribution.
It should be noted that the essence of the load position of action point uncertain structure robust design method of the embodiment of the present invention Degree, amount of calculation all quantity to Gaussian quadrature node is directly proportional;Generally, a small amount of quadrature node i.e. can reach precision and wants Ask.The present invention can simply be generalized to the based Robust Design of three-dimensional structure, therefore has higher to structure design in Practical Project Applicability.
The present invention is described below as a example by the robust design method of a concrete Two-dimension Continuum.As in figure 2 it is shown, F is concentrfated load size and Orientation.The length and width of this structure a size of 100 × 100, wherein structure lower end is fixed, and holds in upper end By uncertain load F=10N of position of action point.The uncertainty of load is represented by load position of action point x, and obeys uniformly Distribution, distributed area is [-8 ,+8].The Young's modulus of bar material is 1, and Poisson's ratio is 0.3, and it is 10000 that all materials amasss, and adopts With consistent per-unit system.This structure is carried out Robust Design Optimization so that it is at specified load position of action point condition of uncertainty Under the weighted sum of structural compliance average and standard deviation minimum.
The method specifically comprises the following steps that
S1: set up the sane Optimized model of structure:
S.t.:Ku (ω)=f (ω) (ω ∈ Θ)
0≤ρ≤1
Wherein J is average and standard deviation, α=0.8, β=0.2 that object function, μ (c) and σ (c) are respectively structural compliance; K is structure Bulk stiffness matrix, and f (ω) and u (ω) is respectively load and the motion vector of structure, and ω is used for representing load effect The uncertainty of some position;Vmax=2000 is given material volume consumption;ρ is the vector being made up of individual cell density.
S2: according to Gaussian integrating formula, chooses three quadrature nodes, i.e. load position of action point is respectively 43.80, and 50, 56.20, form three basic operating modes, such as Fig. 3 a, Fig. 3 b, Fig. 3 c, wherein, sized by x and direction determine but position of action point not Determine load fxActive position;fxFor the size of load at application point x.
S3: initialization design variable.The density taking each unit is 0.2.
S4: three basic operating modes are carried out finite element analysis and obtains corresponding displacement structure vector u1,u2,u3
The average of S5: structural compliance isThe variance of structural compliance is:
S6: carry out STRUCTURAL SENSITIVITY ANALYSIS INDESIGN.Object function is for ρePartial derivative be:
Retraining the sensitivity for design variable is:
S7: utilize asymptote method to update design variable;First the sensitivity obtained according to step 6 medium sensitivity analysis The approximate function of information structuring object function:
Wherein, x(k)For current iteration point,WithFor mobile asymptote, its Iteration is:
For design variable xeCurrency,WithIt is respectively xeBound;
Then utilize this near The object function in former optimization problem is replaced to form optimization subproblem like function;Dual Method is finally utilized to solve this optimization Problem and design variable after being updated.
S8: judge whether to meet end condition, if meeting, then stops iteration;Otherwise repeat step 4 to step 7 until Iteration ends.In this example, the condition of iteration ends is that the adjacent all cell densities of twice iteration are all less than 0.01 or iteration time Number is more than 300.
Having carried out the structure optimization under the conditions of two kinds in this example, wherein the first does not consider that uncertainty, i.e. certainty are excellent Change;The second utilizes the load position of action point uncertain structure robust design method of the present invention, wherein α=0.8, β=0.2. In the case of two kinds, the result of structure design is the most as shown in Figure 4 and Figure 5.As seen from the figure, it is considered to load position of action point is uncertain Property the structure lower end bifurcated that optimizes, the stability of this structure is apparently higher than the optimum results under the conditions of determining.This example changes every time In generation, has only to 3 basic operating modes are carried out structural analysis, and the average of structural compliance and variance calculate and needed for sensitivity analysis The motion vector wanted all obtains by the motion vector of above 3 basic operating modes is carried out linear operation, the most extra calculating Measuring the least, computational efficiency is the highest.It addition, the present invention is theoretical simple, it is convenient to implement.Therefore, the application present invention obtains optimum results Engineering practice is simple, workable, and optimum results is preferable.
The load position of action point uncertain structure robust design method that the present invention provides, based on known load effect The point regularity of distribution, regards by structural compliance as the function of position of action point as, uses displacement superposed principle and the Gauss of linear structure The flexibility average of quadrature formula computation structure and standard deviation, and object function is carried out sensitivity analysis.The method amount of calculation is little And relative accuracy is higher, implement the simplest on the basis of existing topological optimization.
Although being described in conjunction with the accompanying embodiments of the present invention, but those skilled in the art can be without departing from this Making various modifications and variations in the case of bright spirit and scope, such amendment and modification each fall within by claims Within limited range.

Claims (9)

1. a load position of action point uncertain structure robust design method, it is characterised in that including:
S1: set up the sane Optimized model of Continuum Structure:
S2: the distribution form of the load position of action point born according to structure and Gaussian quadrature node location, choose multiple Basis operating mode;
S3: initialization design variable;
S4: each basis operating mode is carried out finite element analysis and obtains corresponding displacement structure vector;
S5: the average of computation structure flexibility and standard deviation;
S6: structure is carried out sensitivity analysis;
S7: utilize asymptote method to update design variable;
S8: judge whether to meet end condition, if meeting, then stops iteration;Otherwise repeat S4 to S7 until meeting iteration ends Condition.
Load position of action point the most according to claim 1 uncertain structure robust design method, it is characterised in that institute State the sane Optimized model of Continuum Structure to include:
M i n x : J = α μ ( c ) + β σ ( c )
S.t.:Ku (ω)=f (ω) (ω ∈ Θ)
g = V - V m a x = Σ e = 1 m v e ρ e - V m a x ≤ 0 0 ≤ ρ ≤ 1
Wherein, J is average and the standard deviation that object function, μ (c) and σ (c) are respectively structural compliance c, α and β is that two non-negative are real Count and meet alpha+beta=1;K is structure Bulk stiffness matrix, and f (ω) and u (ω) is respectively load and motion vector, the ω of structure For representing the uncertainty of load position of action point;M is discrete number of unit, veAnd ρeIt is respectively the volume of unit and close Degree, g is the inequality constraints of the sane Optimized model of Continuum Structure, and V is to calculate the volumetric usage obtained, V every timemaxIt is given Material volume consumption;ρ is by ρe(e=1 ..., vector m) formed.
Load position of action point the most according to claim 2 uncertain structure robust design method, it is characterised in that institute State choose multiple basis operating mode include:
According to the probability-distribution function of load position of action point, find the Gaussian quadrature node of its correspondence, each applying is carried Lotus sets up a kind of operating mode, selects n basis operating mode f1,…,fn
Wherein, n is the quadrature nodes of Gauss integration.
Load position of action point the most according to claim 2 uncertain structure robust design method, it is characterised in that institute State initialization design variable to include:
Identical density is given by all of unit
Load position of action point the most according to claim 2 uncertain structure robust design method, it is characterised in that institute State and each basis operating mode is carried out finite element analysis obtain corresponding displacement structure vector and include:
To each basis operating mode f1,…,fnCarry out finite element finite meta analysis and obtain corresponding displacement structure vector u1,…,un
Load position of action point the most according to claim 2 uncertain structure robust design method, it is characterised in that institute The average stating computation structure flexibility includes with standard deviation:
The average of structural compliance is:
μ ( c ) = ∫ c ( x , ρ ) f ( x ) d x = Σ i n A i c ( x i , ρ ) ;
The variance of structural compliance is:
σ 2 ( c ) = ∫ c 2 ( x , ρ ) f ( x ) d x - μ 2 ( c ) = ∫ c 2 ( x , ρ ) f ( x ) d x - μ 2 ( c ) = Σ i n A i c 2 ( x i , ρ ) - μ 2 ( c )
Wherein, c (xi, ρ) and=f (xi)u(xi) represent load f (xi) at displacement components u (xi) upper power, xiRepresent i-th operating mode Load position of action point, AiRepresent Gaussian quadrature coefficient.
Load position of action point the most according to claim 2 uncertain structure robust design method, it is characterised in that institute State and structure is carried out sensitivity analysis include:
According to the expression formula of structural compliance average Yu variance, object function is for each unit density pePartial derivative be:
∂ J ∂ ρ e = α Σ i n A i ∂ c ( x i , ρ ) ∂ ρ e + β 1 2 σ 2 ∂ σ 2 ∂ ρ e = α Σ i n A i ∂ c ( x i , ρ ) ∂ ρ e + β 1 2 σ 2 ( ∂ ( Σ i n A i c 2 ( x i , ρ ) - μ 2 ( c ) ) ∂ ρ e ) = α Σ i n A i ∂ c ( x i , ρ ) ∂ ρ e + β 1 σ 2 ( Σ i n A i c ( x i , ρ ) ∂ c ( x i , ρ ) ∂ ρ e - μ ( c ) ∂ μ ( c ) ∂ ρ e )
Retraining the sensitivity for each unit density is:
∂ g ∂ ρ e = v e .
Load position of action point the most according to claim 2 uncertain structure robust design method, it is characterised in that institute State and utilize asymptote method renewal design variable to include:
Approximate function according to the sensitivity information structure object function that sensitivity analysis obtains:
f ( x ) ≈ f ( ρ ( k ) ) + Σ e = 1 m p e ( k ) ( 1 U e ( k ) - ρ e - 1 U e ( k ) - ρ e ( k ) ) + Σ e = 1 m q e ( k ) ( 1 ρ e - L e ( k ) - 1 ρ e ( k ) - L e ( k ) )
Wherein, ρ(k)For current iteration point,WithFor mobile asymptote, its Iteration is:
L e ( k ) = ρ e ( k ) - 0.1 ( ρ e max - ρ e min )
U e ( k ) = ρ e ( k ) + 0.1 ( ρ e max - ρ e min )
For design variable ρeCurrency,WithIt is respectively ρeBound;
p e ( k ) = m a x ( ( U e ( k ) - ρ e ( k ) ) 2 ∂ f / ∂ ρ e , 0 ) , q e ( k ) = m a x ( - ( ρ e ( k ) - L e ( k ) ) 2 ∂ f / ∂ ρ e , 0 ) ;
This approximate function is utilized to replace the object function in former optimization problem to form optimization subproblem;
Design variable after utilizing Dual Method to solve this optimization subproblem and being updated.
Load position of action point the most according to claim 2 uncertain structure robust design method, it is characterised in that institute State and judge whether to meet end condition, if meeting, then stopping iteration, otherwise repeating S4 to S7 until meeting stopping criterion for iteration bag Include:
If iterations has reached maximum times or twice iteration variable density amount of various discrete unit is respectively less than set-point, then Stop iteration;Otherwise continue iterative process.
CN201610280539.6A 2016-04-28 2016-04-28 Structure steady design method with uncertain load action point position Pending CN105912809A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610280539.6A CN105912809A (en) 2016-04-28 2016-04-28 Structure steady design method with uncertain load action point position

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610280539.6A CN105912809A (en) 2016-04-28 2016-04-28 Structure steady design method with uncertain load action point position

Publications (1)

Publication Number Publication Date
CN105912809A true CN105912809A (en) 2016-08-31

Family

ID=56753287

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610280539.6A Pending CN105912809A (en) 2016-04-28 2016-04-28 Structure steady design method with uncertain load action point position

Country Status (1)

Country Link
CN (1) CN105912809A (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107515963A (en) * 2017-07-17 2017-12-26 北京航空航天大学 A kind of bi-material layers Continuum Structure Multidisciplinary systems Topology Optimization Method based on uncertain but bounded
CN107944078A (en) * 2017-10-25 2018-04-20 上海交通大学 The sane implementation method of body structure based on irregular probability distribution
CN108009345A (en) * 2017-11-29 2018-05-08 大连交通大学 Structural topological optimization method based on equivalent mobile load method
CN108021779A (en) * 2018-01-23 2018-05-11 广州大学 The optimization design and manufacture method of a kind of origami structure
CN108984885A (en) * 2018-07-05 2018-12-11 中国船舶工业集团公司第七0八研究所 A kind of loading deck plate design method based under Permanent deformability

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103136428A (en) * 2013-03-12 2013-06-05 上海交通大学 Vehicle body structure steady design method based two uncertain saloon cars
CN103412997A (en) * 2013-08-14 2013-11-27 北京航空航天大学 Method for designing stable truss structure under uncertain load
CN103425831A (en) * 2013-08-06 2013-12-04 西北工业大学 Structural topology-shape combined optimization method based on multi-arc-section curve under pressure load
CN105426640A (en) * 2015-12-28 2016-03-23 西北工业大学 Penalty function based multi-assembly structure system layout optimization design method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103136428A (en) * 2013-03-12 2013-06-05 上海交通大学 Vehicle body structure steady design method based two uncertain saloon cars
CN103425831A (en) * 2013-08-06 2013-12-04 西北工业大学 Structural topology-shape combined optimization method based on multi-arc-section curve under pressure load
CN103412997A (en) * 2013-08-14 2013-11-27 北京航空航天大学 Method for designing stable truss structure under uncertain load
CN105426640A (en) * 2015-12-28 2016-03-23 西北工业大学 Penalty function based multi-assembly structure system layout optimization design method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
GUEST,JAMES K ET AL: "《Structural optimization under uncertain loads and nodal locations》", 《COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING》 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107515963A (en) * 2017-07-17 2017-12-26 北京航空航天大学 A kind of bi-material layers Continuum Structure Multidisciplinary systems Topology Optimization Method based on uncertain but bounded
CN107944078A (en) * 2017-10-25 2018-04-20 上海交通大学 The sane implementation method of body structure based on irregular probability distribution
CN108009345A (en) * 2017-11-29 2018-05-08 大连交通大学 Structural topological optimization method based on equivalent mobile load method
CN108021779A (en) * 2018-01-23 2018-05-11 广州大学 The optimization design and manufacture method of a kind of origami structure
CN108984885A (en) * 2018-07-05 2018-12-11 中国船舶工业集团公司第七0八研究所 A kind of loading deck plate design method based under Permanent deformability
CN108984885B (en) * 2018-07-05 2023-05-16 中国船舶工业集团公司第七0八研究所 Loading deck plate design method based on permission permanent deformation

Similar Documents

Publication Publication Date Title
CN105912809A (en) Structure steady design method with uncertain load action point position
Wang et al. Global and local surrogate-assisted differential evolution for expensive constrained optimization problems with inequality constraints
CN111414658B (en) Rock mass mechanical parameter inverse analysis method
Planken et al. Computing all-pairs shortest paths by leveraging low treewidth
Li et al. A generalized approach to construct benchmark problems for dynamic optimization
Li et al. Differential evolution for prediction of longitudinal dispersion coefficients in natural streams
Liu et al. Sequential optimization using multi-level cokriging and extended expected improvement criterion
CN106446432B (en) A kind of solution the optimal of material large deformation transports non-mesh method
Oelz et al. Derivation of a model for symmetric lamellipodia with instantaneous cross-link turnover
De Sousa et al. Generalized extremal optimization: An application in heat pipe design
Choi et al. Hierarchical bayesian inverse reinforcement learning
Lu et al. Parallel mesh adaptation for high-order finite element methods with curved element geometry
Jalili et al. Design optimization of truss structures with continuous and discrete variables by hybrid of biogeography‐based optimization and differential evolution methods
Wang et al. A restart univariate estimation of distribution algorithm: sampling under mixed Gaussian and Lévy probability distribution
Costa et al. Algorithmic approaches to reconfigurable assembly systems
Meetei A survey: swarm intelligence vs. genetic algorithm
Xie et al. Efficient mesh motion using radial basis functions with volume grid points reduction algorithm
CN110096838A (en) A kind of helicopter flow field numerical value Parallel Implicit method for solving based on N-S equation
Alimo et al. Optimization combining derivative-free global exploration with derivative-based local refinement
Epshteyn et al. Active reinforcement learning
Barmak et al. An entropy based theory of the grain boundary character distribution
Pintea et al. Hybrid ant models with a transition policy for solving a complex problem
Grassi et al. Resource aware multifidelity active learning for efficient optimization
Krischer et al. Active-learning combined with topology optimization for top-down design of multi-component systems
Gilmour Nonlinear model evaluation: $\iota $ shadowing, probabilistic prediction and weather forecasting

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: 20160831

RJ01 Rejection of invention patent application after publication