CN109376496A - Cold-pressing quality steel sectional dimension of members optimization system and method, information data processing terminal - Google Patents
Cold-pressing quality steel sectional dimension of members optimization system and method, information data processing terminal Download PDFInfo
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Abstract
The invention belongs to Computer-aided Design Technology field, a kind of cold-pressing quality steel sectional dimension of members optimization system and method, information data processing terminal, input module, background and format for input data are disclosed；Output module, for realizing the conversion of input data.By optimizing the area of section of available ultimate bearing capacity maximum value, the ultimate bearing capacity equally provided in turn, can with optimization its corresponding cross-sectional area component cold-pressing quality steel.The present invention saves steel using amount in cold-pressing quality steel work progress by being optimized for designer, increases economic efficiency；It is optimized using the GAs Toolbox that MATLAB is carried, searching target function value can be optimized and speed is fast；The accuracy of data is high；It is easy to operate understandable, using genetic algorithm gui interface, operation setting is carried out directly above；System stability is good, can accurately obtain a result in the process of running, and when a problem occurs, the reason of mistake occurs in display.
Description
Technical field
The invention belongs to Computer-aided Design Technology field more particularly to a kind of cold-pressing quality steel sectional dimension of members optimization systems
System and method, information data processing terminal.
Background technique
Currently, the prior art commonly used in the trade is such that University Of Shantou's Huang Ji Zhuo research shows that part, entirety and distortion
The bearing capacity of buckling can change along with the variation of sectional dimension.The researchers such as Wang Haiming take cold bending thin wall Z-shape steel component
Crimping angle be 90 ° with 45 °, find crimping angle variation, so that Z-shape steel section attribute is changed, and can change
Become the constraint relationship between crimping and the edge of a wing, makes component distortional buckling bearing capacity that corresponding change occur therewith.Bian Zhongtao is to clod wash
Thin-walled Z-shape steel is when cross sectional shape parameter changes, the situation of change of analysis limit bearing capacity, and by limited software with
And Abaqus emulation compares analysis.Ye Zhiming team of Shanghai University is obtained by optimizing area size to Z-shaped purline
Good effect of optimization is arrived.Existing technology is much all held using obtaining its corresponding limit from a known sectional dimension
Power is carried, or many a sectional dimensions in the range of enumerating are calculated one by one, so that analysis obtains wherein optimal section
Face, the result obtained in this way take time and effort, mainly many without using optimization algorithm combination MATLAB or other advanced languages
The calculation procedure of speech is programmed to find Optimum cross section；There are also the optimization skills in this patent such very forward position also especially set out
Art is exactly in the ignorant situation of sectional dimension, optimization to be gone to find corresponding to minimum area for providing ultimate bearing capacity
Optimum cross section size is above-mentioned to be all not involved with.
The prior art passes through related to calculating cold-bending profile steel component bearing capacity from North America specification (AISI S100-2007)
Direct strength method formula, but formula only only has common C, Z-type, and other shapes do not have；Program introduces MATALB heredity
In the optimization process of algorithm, since genetic algorithm is to find almost optimal reference value, so being obtained when each suboptimization carries out
The result is that very close to；Optimization to C, Z-type carries out under conditions of being in axis pressure and simple bending freely-supported, can't carry out
Clamped optimization.
In conclusion problem of the existing technology is:
(1) prior art passes through related to calculating cold-bending profile steel component carrying from North America specification (AISI S100-2007)
The direct strength method formula of power, but formula only only has common C, Z-type, other shapes do not have.It's not true for other shapes,
Such as the shapes such as L, U words to be applied, it can only lean on that constantly experiment obtains or ability finite element carries out approximate solution, but these shapes
The shape use very wide, only a small amount unlike C, Z-type application.
(2) program is introduced into the optimization process of MATALB genetic algorithm, since genetic algorithm is to find almost optimal ginseng
Examine value, thus each suboptimization carry out when, it is obtaining the result is that very close to, but problem be user do not know in the case where,
Also can obtain optimal result to continue operation many times, result almost be can be ignored in fact, error very little.
(3) it to the optimization of C, Z-type is carried out in axis pressure and when simple bending freely-supported under conditions of, can't carried out clamped
Optimization.When problem is to carry out clamped calculating, can only lean on constantly experiment obtain or ability finite element carry out approximate solution.
Solve the difficulty and meaning of above-mentioned technical problem: direct strength method is North America specification, by scientific research personnel by very
It tests obtained data more, and is combined using steel construction principle etc., the steel construction of the empirical equation summed up, North America is all
Using it as standard, result that formula obtains is with experiment very close to and obtaining North America or even global approval.With regard to C, Z-type
Direct strength formula has just spent many times and energy, their utilizations are relatively more mainly in cold-pressing quality steel, other shapes phase
To fewer, so not studied.From genetic algorithm as can be seen that genetic algorithm is a kind of approximate optimum algorithm, also cry
Stochastic Optimization Algorithms, its each solution is near-optimization, it cannot be guaranteed that being global optimum.These features determine hereditary calculation
Each result of method is probably different from, but the error very little between each result optimized.Clamped to boundary sets
It sets, its local distortion's buckling formula does not have, and the formula of freely-supported is all largely to test etc. to obtain by external scientific research personnel
Approximate formula constantly inquire into for later scientific research personnel and be studied for the research of clamped aspect.
Summary of the invention
In view of the problems of the existing technology, the present invention provides a kind of cold-pressing quality steel sectional dimension of members optimization system and sides
Method, information data processing terminal.
The invention is realized in this way a kind of cold-pressing quality steel sectional dimension of members optimization system, the cold-pressing quality steel member section
Dimensionally-optimised system includes:
Input module, background and format for input data；
Output module, for realizing the conversion of input data.
The input module further comprises:
Data background unit is configured for sectional dimension parameter to be arranged according to sectional dimension；
Data format unit, the data unit for being arranged in the length and sectional dimension of component, label.
The output module further comprises:
Export background cell, target function value, sectional dimension for output data；
Error and recovery unit, for prompting next line prompt the reason of mistake occur；
Recovery unit, for modifying mistake；
It seeks help query unit, for being putd question to.
Another object of the present invention is to provide a kind of clod washes using the cold-pressing quality steel sectional dimension of members optimization system
Steel member cross-sectional size optimization method, the cold-pressing quality steel sectional dimension of members optimization method the following steps are included:
Step 1, data background, sectional dimension parameter bound are configured according to sectional dimension；A. MATLAB is being opened
Problem on genetic algorithm interface is configured principal function file@Pkfun9001 is weaved into, and is put into Fitness
In function；Number of variables fills in 5, because being 5 independents variable.
B. constraint setting is being carried out on the interface Constraints: the ratio distribution first between sectional dimension parameter
A in Linear inequalities is (- 100800；100-2000；001-120；0-1300；01-500；0-10200；
010-500)；B is (0；0；0；0；0；0；0)；Then the Lower in sectional dimension parameter bound is 30,18,2.5,2.0,
90；Upper is 600,300,100,6.8,90；Then in nonlinear restriction function file Nonlinear constraint
Function fills out@PKcon9001；[123], which finally can be filled in, in Integer variable indices indicates in independent variable
First, two, three data are integer type
Step 2 illustrates the length 1500mm of component, area be 1300mm2 when optimize and sectional dimension in
Data unit millimeter, label mm；
Step 3 exports background: value 255925N, the sectional dimension 226--88--29--2.825 of objective function；
Step 4, error will appear the prompt of English reminding Error running optimization next line and mistake occur
The reason of；After modifying correctly, Start button is pressed；
Step 5, inquiry of seeking help, click are putd question to.
Another object of the present invention is to provide a kind of calculating for realizing the cold-pressing quality steel sectional dimension of members optimization method
Machine program.
Another object of the present invention is to provide a kind of information for realizing the cold-pressing quality steel sectional dimension of members optimization method
Data processing terminal.
Another object of the present invention is to provide a kind of computer readable storage mediums, including instruction, when it is in computer
When upper operation, so that computer executes the cold-pressing quality steel sectional dimension of members optimization method.
In conclusion advantages of the present invention and good effect are as follows: in clod wash steel member under cross-sectional area same case,
By optimizing the area of section of available ultimate bearing capacity maximum value, the ultimate bearing capacity equally provided in turn, Ke Yiyou
Dissolve the component cold-pressing quality steel of its corresponding cross-sectional area.The present invention was constructed by being optimized for designer in cold-pressing quality steel
Steel using amount is saved in journey, is increased economic efficiency；It is optimized using the GAs Toolbox that MATLAB is carried, can optimize and seek
It looks for target function value and speed is fast；The accuracy of data is high, and programming uses Silvestre N, Camotim D, Britain's steel knot
Structure specification, the calculation formula inside U.S.'s norm of steel structure；It is easy to operate understandable, using genetic algorithm gui interface, directly upper
Face carries out operation setting；System stability is good, can accurately obtain a result in the process of running, when a problem occurs, shows
The reason of existing mistake.
Input section size of the present invention carries out about it by " Code for design of steel structures " _ (GB50017-2014) regulation
Beam, value range export sectional dimension in addition to thickness accuracy is 3 after decimal point, other are all without decimal point；With heredity
When algorithmic tool case optimizes, needs to wait tens seconds time, can just obtain a result；Operation is very simple, understandable.
Detailed description of the invention
Fig. 1 is cold-pressing quality steel sectional dimension of members optimization system structural schematic diagram provided in an embodiment of the present invention；
In figure: 1, input module；1-1, data background unit；1-2, data format unit；2, output module；2-1, output
Background cell；2-2, error and recovery unit；2-3, recovery unit；2-4, query unit of seeking help.
Fig. 2 is cold-pressing quality steel sectional dimension of members optimization method flow chart provided in an embodiment of the present invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to embodiments, to the present invention
It is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not used to
Limit the present invention.
The present invention optimizes ultimate bearing capacity of the light gauge cold-formed steel shape in unstable failure, and unstability is broadly divided into three kinds of buckling moulds
Formula, respectively local buckling, distortional buckling, complete buckling will fully consider in optimization process and be likely to occur these three bucklings
Influence of the mode to ultimate bearing capacity；Optimization is applied in clod wash steel member under cross-sectional area same case, passes through optimization
The area of section of available ultimate bearing capacity maximum value, the ultimate bearing capacity equally provided in turn can its be right with optimization
The component cold-pressing quality steel for the cross-sectional area answered.It can be saved in cold-pressing quality steel work progress for designer in this way by optimizing
Steel using amount is saved, is increased economic efficiency.
Application principle of the invention is explained in detail with reference to the accompanying drawing.
As shown in Figure 1, cold-pressing quality steel sectional dimension of members optimization system provided in an embodiment of the present invention include: input module 1,
Output module 2.
Input module 1, background and format for input data；
Output module 2, for realizing the conversion of input data.
Input module 1 further comprises:
Data background unit 1-1 is configured for sectional dimension parameter to be arranged according to sectional dimension；
Data format unit 1-2, the data unit for being arranged in the length and sectional dimension of component, label etc..
Output module 2 further comprises:
Export background cell 2-1, target function value, sectional dimension for output data；
Error and recovery unit 2-2, for prompting next line prompt the reason of mistake occur；
Recovery unit 2-3, for modifying mistake；
Query unit of seeking help 2-4, for being putd question to.
As shown in Fig. 2, cold-pressing quality steel sectional dimension of members optimization method provided in an embodiment of the present invention the following steps are included:
S201: data background, sectional dimension parameter bound are configured according to sectional dimension；
S202: illustrate the data unit in the length and sectional dimension of component, label；
S203: output background: value, the sectional dimension of objective function；
S204: error will appear the prompt of English reminding next line and the reason of mistake occurs；After modifying correctly, press
Start button；
S205: inquiry of seeking help, click are putd question to.
Cold-pressing quality steel sectional dimension of members optimization method provided in an embodiment of the present invention specifically includes the following steps:
Step 1, data background, sectional dimension parameter bound are configured according to sectional dimension；A. MATLAB is being opened
Problem on genetic algorithm interface is configured principal function file@Pkfun9001 is weaved into, and is put into Fitness
In function；Number of variables fills in 5, because being 5 independents variable.
B. constraint setting is being carried out on the interface Constraints: the ratio distribution first between sectional dimension parameter
A in Linear inequalities is (- 100800；100-2000；001-120；0-1300；01-500；0-10200；
010-500)；B is (0；0；0；0；0；0；0)；Then the Lower in sectional dimension parameter bound is 30,18,2.5,2.0,
90；Upper is 600,300,100,6.8,90；Then in nonlinear restriction function file Nonlinear constraint
Function fills out@PKcon9001；[123], which finally can be filled in, in Integer variable indices indicates in independent variable
First, two, three data are integer type
Step 2 illustrates the length 1500mm of component, area be 1300mm2 when optimize and sectional dimension in
Data unit millimeter, label mm；
Step 3 exports background: value 255925N, the sectional dimension 226--88--29--2.825 of objective function；
Step 4, error will appear the prompt of English reminding Error running optimization next line and mistake occur
The reason of；After modifying correctly, Start button is pressed；
Step 5, inquiry of seeking help, click are putd question to.
Application principle of the invention is further described combined with specific embodiments below.
1, it defines
Genetic algorithm: genetic algorithm (Genetic Algorithm) is to simulate the natural selection of Darwinian evolutionism
It is a kind of side by simulating natural evolution process searches optimal solution with the computation model of the biological evolution process of genetic mechanisms
Method.Genetic algorithm is may be a population (population) of potential disaggregation since the problem that represents, an and population
Then it is made of the individual (individual) of the certain amount by gene (gene) coding.Each individual is actually chromosome
(chromosome) entity of feature is had.Main carriers of the chromosome as inhereditary material, i.e., the set of multiple genes, in
It is certain assortment of genes that portion, which shows (i.e. genotype), it determines the external presentation of the shape of individual, as dark hair is characterized in
What certain assortment of genes by controlling this feature in chromosome determined.Therefore, it is needing to realize from phenotype to base at the beginning
Because of mapping, that is, coding work of type.Since the work for copying gene to encode is very complicated, often simplified, such as binary coding,
After population primary generates, according to the principle of the survival of the fittest and the survival of the fittest, produced by generation (generation) evolution more next
Better approximate solution, it is a according to fitness (fitness) size selection (selection) individual in Problem Areas in every generation
Body, and be combined intersection (crossover) by means of the genetic operator of natural genetics (genetic operators) and become
Different (mutation), produces the population for representing new disaggregation.This process will lead to the same rear life of kind of images of a group of characters natural evolution
Environment is more adaptive to than former generation for population, and the optimum individual in last reign of a dynasty population can be used as and ask by decoding (decoding)
Inscribe approximate optimal solution.
Local buckling: the intersection between plate keeps straight line and shape is there is no changing and deviating, local buckling half
Wavelength degree is the smallest for comparing other two kinds of bucklings, but many isometric bucklings half can be showed in component length
Wave.In order to avoid influence of the appearance to element bearing capacity of local buckling, its width-thickness ratio can be limited.General local buckling goes out
It is existing, component can't be made to generate destruction at the beginning, since plate can generate film effect, rear yield strength is very big, moreover it is possible to continue
Carrying, geometrical defect influences it smaller.
Complete buckling: component in axis pressure, buckling mode include three kinds, respectively be bending, torsion and torsional,
And component then generally only generates torsional in simple bending.What complete buckling cross sectional shape change without, only
Mobile variation is carried out with a kind of overall profile, can be taken as rigid body mobile to treat, therefore Post-Bucking Strength very little, once hair
Raw complete buckling cannot continue to carry, and reached the ultimate bearing capacity of component, the destruction certain to component has just been produced, to geometry
Defective effect is very big.The half-wave length that complete buckling shows in component length is longest in three buckling patterns.
Distortional buckling: seam width is excessively narrow, and the edge of a wing by less than its constraint, thus the assembly on the edge of a wing and crimping plate
It rotates and changes around the intersection point of the edge of a wing and web together, but the angle between plate remains unchanged.Half-wavelength when distortional buckling
Degree is between local buckling and complete buckling, and geometrical defect is affected to it, to keep Post-Bucking Strength not high.It is surrendering
In the case that intensity is relatively high, the probability that distortional buckling occurs is very high, and What is more, in the component having, even if critical part
Buckling Loads are less than distortion, but the principal element that control member destroys is still as caused by distortional buckling, with local buckling without
It closes.
Ultimate bearing capacity: the work load of structure is taken as a part of ultimate load by limit Design.Thus, structure
Ultimate bearing capacity be the concept drawn from the thought of " limit Design ".
The ultimate bearing capacity of structure refers to the maximum capacity that can bear external load before structure is collapsed completely.Its size with
Lower factor is related: material property: ultimate strength, stress-strain relation etc.；The rigidity and geometric dimension of structure and component: area,
Moments of inertia etc.；Structure state in which: construction stage, operation stage etc.；The load form that structure is born: dead load, combined load etc.；
The load path of load.Different construction methods, different load forms and load path, structural ultimate bearing capacity is different, i.e. the limit
Bearing capacity is not a definite value.Ultimate bearing capacity state, which refers to, reaches maximum load capacity corresponding to structure or structural elements, occurs
Fatigue rupture is not suitable for continuing the deformation of carrying.
2 running environment
2.1 hardware device
The above model of CPU frequency 1.7GHz inside saves as 2G or more, hard-disk capacity is 80G or more；
2.2 support software
Operating system is 8.1 or more Windows, MATLAB R2013a or more.
3 operation instructions
3.1 installations and initialization
The program write is stored in MATLAB with function M filename, the heredity in tool box carried using MATLAB
The setting of algorithm, function file and some data is configured in GAs Toolbox, begins to optimize after the completion.
3.2 input
3.2.1 data background
The constraint of sectional dimension parameter comes from " Code for design of steel structures " (GB50017-2014)；Bound can oneself root
It is configured according to sectional dimension；
3.2.2 data format
The length and the data unit in sectional dimension, label etc. of component are described in a program.
3.2.3 input citing:
Constraint condition: A=[- 100800；100-2000；001-120；0-1300；01-500；0-10200；010-500]；
B=[0；0；0；0；0；0；0]；Geometry constraint conditions are as follows: b/t≤50,80≤h/t≤200, d/t≤12,1/5≤d/b≤1/3,
Optimize area.
Bound: lb=[30,18,2.5,2.0,90]；Ub=[600,300,100,6.8,90]；
Corresponding constraint interval limit is taken as [h, b, d, t, θ]=[40,30,5,2.0,90], and the upper limit in section is taken as
[500,300,50,6.0,90], 90 represent crimping angle as 90 degree.
3.3 output
3.3.1 exporting background:
Objective function value (value of objective function)
Final point (sectional dimension)
3.3.2 exporting example:
With the data for the output that the data that 3.2.3 is inputted obtain:
Objective function value (value of objective function): 255925N
Final point (sectional dimension): 226--88--29--2.825
3.4 errors and recovery
Error English reminding Error running can occur in the literary frame of Run solver and view result
Optimization. there is the reason of mistake in next line prompt.
Restore: after modifying correctly, pressing the Start button in the literary frame of Run solver and view result.
3.5 seek help inquiry
There is Help button in the interface Optimization Tool, can click and be putd question to.
4 operation explanations
4.1 table
C, Z-type light gauge cold-formed steel shape component takes length 1500mm in axis pressure and simple bending, being further divided to two kinds of feelings respectively
Condition: the first is in the case where knowing cross-sectional area, and optimization obtains the corresponding area of section of greatest limit bearing capacity；Second
Kind is the corresponding ultimate bearing capacity of the smallest area of section of optimization in the case where knowing ultimate bearing capacity.
4.2 operating procedures:
4.2.1 8 kinds of different operation results are shared, the compiled program of each is saved into function file name, such as c-type
In axis pressure, when knowing area of section, greatest limit bearing capacity is found in optimization.
Problem of the first step on opening MATLAB genetic algorithm interface is configured handle and weaves into principal function file@
PKfun1009Z001 is put into Fitness function；Number of variables fills in 5, becomes certainly because being 5
Amount.
Second step is carrying out constraint setting on the interface Constraints: the ratio point first between sectional dimension parameter
A in cloth Linear inequalities is (- 100800；100-2000；001-120；0-1300；01-500；0-10200；
010-500)；B is (0；0；0；0；0；0；0)；Then the Lower in sectional dimension parameter bound is 30,18,2.5,2.0,
90；Upper is 600,300,100,6.8,90；Then in nonlinear restriction function file Nonlinear constraint
Function fills out@PKcon1009Z001；[123], which finally can be filled in, in Integer variable indices indicates from change
First in amount, two, three data are integer type.
Third step is pressed the button of Start, is just run on the interface of Run solver and view results,
Current iteration is existing the number of iterations；Objective function value (objective function is obtained after operation
Value) it is some value, this value is approximate optimal solution, because being to use genetic algorithm, when optimizing operation each time
Different values will be generated, but is all approximate optimal solution.
Step 4: Final point is exactly the value i.e. sectional dimension parameter of independent variable: 273--127--31--
3.409, this sectional dimension is the parameter of near-optimization, because being to use genetic algorithm, optimizes operation each time
Shi Douhui generates different parameters, but is all approximate optimized parameter solution.
By this four steps just c-type when axis is pressed, when knowing area of section, optimization is found and has shown that greatest limit is held
Carry power, and so on it can be concluded that other 7 kinds target function values.
The first situation is in the case where knowing cross-sectional area, and optimization obtains the corresponding section of greatest limit bearing capacity
Area；In first, two, three steps are the same, in addition to the function file in the first, two step is different.
C, the principal function file of Z-type axis pressure is respectively Pkfun9001, Pkfun9001Z；Constraint function file is respectively
Pkcon9001, Pkcon9001Z；
C, the principal function file of Z-type simple bending is respectively PkfunCwan9001, PkfunCwan9001Z；Constraint function file
Respectively PkconCwan9001, PkconCwan9001Z.
Second situation is in the case where knowing ultimate bearing capacity, and the corresponding limit of the smallest area of section of optimization is held
Carry power；In first, two, three steps are the same, in addition to the function file in the first, two step is different.
C, the principal function file of Z-type axis pressure is respectively Pkfun1009001, Pkfun1009Z001；Constraint function file point
It Wei not Pkcon1009001, Pkcon1009Z001；
C, the principal function file of Z-type simple bending is respectively PkfunCwan1009001, PkfunCwan1009Z001；Constrain letter
Number file is respectively PkconCwan1009001, PkconCwan1009Z001；
The parameter operated above can need to be configured according to oneself.Such as the length of light gauge cold-formed steel shape component, it bends
Intensity is taken, the parameters such as modulus of shearing can be modified in a program, the bound of sectional dimension, the constraint condition of sectional dimension
According to the requirement of light gauge cold-formed steel shape specification, oneself can be constrained on this basis according to requirement of engineering in further progress.
The program run below can be configured the resistance coefficient of compression member according to the needs in oneself engineering, be
Obtain more safe and reliable data.Such as following examples:
The ultimate bearing capacity that % is obtained, design value can be obtained by being multiplied by phiP or phiM (resistance coefficient of compression member)；%
Pressure design value, PPPP=-min (phiP*Pl, phiP*Pd), wherein (setting phiP=0.85)；MMMM=-min (phiM*Ml,
PhiM*Md), wherein (setting phiM=0.9: the resistance coefficient of compression member)
4.3 startings or recovery process
After end of run, to be run next time, run can by Clear Results clear up it is pervious as a result,
And be configured according to being run for task, it is provided with and is run by Start button, wait result.
(appearing in can be to point out that such as finding the limit when area is identical holds in screenshot in corresponding program for mass data
Carry power maximum relative to Optimum cross section size, similarly when ultimate bearing capacity is the same, find area minimum relative to most
Excellent sectional dimension)；
When same area is 1300mm2, the optimal ultimate bearing capacity of optimization is 255925N, and corresponding sectional dimension is
Web height is 226mm, flange width 88mm, flange length 29mm, with a thickness of 2.825mm；
When identical ultimate bearing capacity is 415000N, it is 295mm that optimization minimum area sectional dimension, which is web height,
Flange width is 96mm, flange length 30mm, with a thickness of 3.686mm；
When same area is 1800mm2, the optimal ultimate bearing capacity of optimization is 57358079Nm, corresponding section ruler
Very little is 409-93-31-2.739；
Identical ultimate bearing capacity be 45000000Nm constantly, optimization minimum area sectional dimension be 422-84-28-
2.363；
When same area is 1200mm2, the optimal ultimate bearing capacity of optimization is 30948337Nm in C, Z, corresponding
Sectional dimension be 338-69-23-2.299.
In cold-pressing quality steel engineering construction, the unstability of component is primarily present three kinds of main buckling patterns, part, and distortion is whole
Body flexion limit bearing capacity can help us in engineering construction, not only save material by finding out these three ultimate bearing capacities
Material, and guarantee quality safety, it is not in building accident caused by component failure.To asking the limit of component to hold in reality
Carrying power, mainly still empirically or theoretically formula substitutes into one by one, more troublesome cumbersome, can have an impact to project progress, consumes
When effort etc..The present invention is optimized using algorithm is lost, and is carried out programming by theoretical formula and such as mentioned
For an area, optimal sectional dimension can be found, in engineering, as long as the general area that input needs, program can be certainly
Oneself searches out the Optimum cross section size for greatest limit bearing capacity；One ultimate bearing capacity is equally such as provided, it can also be to seek
Look for the smallest Optimum cross section size of area.One same area can only be set during both methods is more real, but much cut
Face size can combine this area, that ultimate bearing capacity maximum when area is identical, has no idea, can only set one on earth
A sectional dimension obtains the corresponding ultimate bearing capacity of a sectional dimension with theoretical formula method, have in this way it is thousands of, tens of thousands of kinds
Sectional dimension combination Deng more than, it is impossible to all go to try one by one；If equally giving a ultimate bearing capacity, that has
This available ultimate bearing capacity of the combination of a variety of sectional dimensions, is that sectional dimension minimum on earth, material saving? no
Method goes to have a try one by one, and the present invention, which can provide, finds Optimum cross section size.
In the above-described embodiments, can come wholly or partly by software, hardware, firmware or any combination thereof real
It is existing.When using entirely or partly realizing in the form of a computer program product, the computer program product include one or
Multiple computer instructions.When loading on computers or executing the computer program instructions, entirely or partly generate according to
Process described in the embodiment of the present invention or function.The computer can be general purpose computer, special purpose computer, computer network
Network or other programmable devices.The computer instruction may be stored in a computer readable storage medium, or from one
Computer readable storage medium is transmitted to another computer readable storage medium, for example, the computer instruction can be from one
A web-site, computer, server or data center pass through wired (such as coaxial cable, optical fiber, Digital Subscriber Line (DSL)
Or wireless (such as infrared, wireless, microwave etc.) mode is carried out to another web-site, computer, server or data center
Transmission).The computer-readable storage medium can be any usable medium or include one that computer can access
The data storage devices such as a or multiple usable mediums integrated server, data center.The usable medium can be magnetic Jie
Matter, (for example, floppy disk, hard disk, tape), optical medium (for example, DVD) or semiconductor medium (such as solid state hard disk Solid
State Disk (SSD)) etc..
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.
Claims (7)
1. a kind of cold-pressing quality steel sectional dimension of members optimization system, which is characterized in that cold-pressing quality steel sectional dimension of members optimization system
System includes:
Input module, background and format for input data；
Output module, for realizing the conversion of input data.
2. cold-pressing quality steel sectional dimension of members optimization system as described in claim 1, which is characterized in that the input module is into one
Step includes:
Data background unit is configured for sectional dimension parameter to be arranged according to sectional dimension；
Data format unit, the data unit for being arranged in the length and sectional dimension of component, label.
3. cold-pressing quality steel sectional dimension of members optimization system as described in claim 1, which is characterized in that the output module is into one
Step includes:
Export background cell, target function value, sectional dimension for output data；
Error and recovery unit, for prompting next line prompt the reason of mistake occur；
Recovery unit, for modifying mistake；
It seeks help query unit, for being putd question to.
4. a kind of cold-pressing quality steel sectional dimension of members using cold-pressing quality steel sectional dimension of members optimization system described in claim 1 optimizes
Method, which is characterized in that the cold-pressing quality steel sectional dimension of members optimization method the following steps are included:
Step 1, data background, sectional dimension parameter bound are configured according to sectional dimension；It is calculated opening MATLAB heredity
Problem on method interface is configured principal function file@Pkfun9001 is weaved into, and is put into Fitness function；
Number of variables fills in 5, because being 5 independents variable；Constraint setting is carried out on the interface Constraints: first
The A in ratio distribution Linear inequalities between first sectional dimension parameter is (- 100 80 0；1 0 0 -200
0；0 0 1 -12 0；0 -1 3 0 0；0 1 -5 0 0；0 -1 0 20 0；0 1 0 -50 0)；B is (0；0；0；0；0；0；
0)；Then the Lower in sectional dimension parameter bound is 30,18,2.5,2.0,90；Upper is 600,300,100,
6.8,90；Then@PKcon9001 is filled out in nonlinear restriction function file Nonlinear constraint function；Finally
First, two in [123] expression independent variable is filled in Integer variable indices, three data are integer type
Step 2 illustrates the length 1500mm of component, area be 1300mm2 when optimize and sectional dimension in number
According to unit millimeter, label mm；
Step 3 exports background: value 255925N, the sectional dimension 226--88--29--2.825 of objective function；
Step 4, error will appear the prompt of English reminding Error running optimization next line and the original of mistake occur
Cause；After modifying correctly, Start button is pressed；
Step 5, inquiry of seeking help, click are putd question to.
5. a kind of computer program for realizing cold-pressing quality steel sectional dimension of members optimization method described in claim 4.
6. a kind of information data processing terminal for realizing cold-pressing quality steel sectional dimension of members optimization method described in claim 4.
7. a kind of computer readable storage medium, including instruction, when run on a computer, so that computer is executed as weighed
Benefit require 4 described in cold-pressing quality steel sectional dimension of members optimization method.
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