CN109460582A - Flow direction downstream based on particle swarm algorithm gets higher miter gate's lock head optimum structure design method of journey gallery - Google Patents
Flow direction downstream based on particle swarm algorithm gets higher miter gate's lock head optimum structure design method of journey gallery Download PDFInfo
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Abstract
The invention discloses a kind of, and the flow direction downstream based on particle swarm algorithm gets higher miter gate's lock head optimum structure design method of journey gallery, including following procedure: S1, it determines that the primary entity for miter gate's lock head structure that flow direction gets higher journey gallery downstream is constituted, obtains the parameter of each primary entity；S2 determines the threedimensional model of lock head structure according to the parameter of each primary entity, FEM meshing is carried out to lock head structure, so as to subsequent carry out finite element analysis；S3, determine optimization design variable, the value of Different Optimization design variable is obtained using particle swarm optimization algorithm, finite element analysis computation volume of concrete is based on according to the value of the optimization design variable of acquisition, to reach the minimum objective function of volume of concrete and meet constraint condition, optimal optimization design variate-value is determined.The present invention quickly acquires optimal solution by particle swarm optimization algorithm, and computational efficiency is high.
Description
Technical field
The present invention relates to Aided Locked Design technical fields, and in particular to a kind of flow direction downstream based on particle swarm algorithm gets higher journey
Miter gate's lock head optimum structure design method of gallery.
Background technique
The superiority such as inland waterway has freight volume big, and at low cost, capital expenditure is few, and comprehensive benefit is big, and environmental pollution is few.
Ship lock is main navigation structure, and the superiority and inferiority of the size of ship lock scale and discharge capacity, navigation lock disposal and each class formation
To control action be played to full navigation channel.If the design of ship lock scale and all kinds of structures is improper, it is difficult to remedy, unless building again
Second line or Third-Line Shiplock cause the very big wasting of resources.
Structure optimization is the designing technique to grow up in the late four decades, uses optimization method in structure design,
Designing quality can be improved and accelerate desin speed.Optimization design is to seek preferably or most reasonable design scheme, and optimization side
Method is to reach the means of this purpose.It is best although excessively huge due to expending resource for most of realistic problems
Design is but not necessarily able to achieve, and sometimes it is also contemplated that the problem of computational efficiency, thus it is excellent in Aided Locked Design should to carry out structure
Change and calculate, reduce cost of investment, abundanter economic benefit is created for country.
Typically, since structure is complicated for lock head, design method traditional at present is first to be drafted according to engineering experience
Then structure size carries out the displacement of three-dimensional finite element integrated stress and calculates, verifies the reasonability of structure.Traditional optimization process one
As be that 4~5 groups of reasonable schemes of structure size are drafted by engineering experience, then select preferably design side by scheme comparison
Case.Due to being limited by different designers experience, determining final scheme is frequently not ideal optimal case, and only feasible
Scheme, and the design cycle is long, and working efficiency is low.Thus it is badly in need of a kind of computational efficiency height and accurate optimization design side
Method.
Summary of the invention
It is an object of the invention to overcome deficiency in the prior art, a kind of stream downstream based on particle swarm algorithm is provided
To the miter gate's lock head optimum structure design method for getting higher journey gallery, computational efficiency is high.
In order to solve the above technical problems, the present invention provides a kind of, the flow direction downstream based on particle swarm algorithm gets higher journey gallery
Miter gate's lock head optimum structure design method, including following procedure:
S1 determines that the primary entity for miter gate's lock head structure that flow direction gets higher journey gallery downstream is constituted, obtains each substantially real
The parameter of body；
S2 determines the threedimensional model of lock head structure according to the parameter of each primary entity, carries out finite element net to lock head structure
Lattice divide, so as to subsequent carry out finite element analysis；
S3 determines optimization design variable, obtains the value of Different Optimization design variable, root using particle swarm optimization algorithm
It is based on finite element analysis computation volume of concrete according to the value of the optimization design variable of acquisition, to reach the minimum mesh of volume of concrete
Scalar functions and meet constraint condition, determines optimal optimization design variate-value.
Preferably, miter gate's lock head structure that flow direction gets higher journey gallery downstream includes that bottom plate, gallery, baffle pier, gate open
Closed chamber, valve well and valve opening and closing room and six primary entities of empty van.
Preferably, the dimensional parameters of empty van primary entity are chosen as design variable.
Preferably, empty van primary entity includes empty van one, empty van two, empty van three, empty van four and base plate interior empty van, is chosen
The length of the length of empty van one, the width of empty van one, one crest level of empty van, two bottom elevation of empty van, two crest level of empty van, empty van three
Degree, the length of empty van four, the bottom elevation of empty van three, four, the length of base plate interior empty van, the width of base plate interior empty van, bottom plate
Internal empty van bottom elevation and base plate interior empty van crest level totally 12 optimization design variables.
Preferably, constraint condition includes geometrical constraint, stress constraint and scleronomic constraint.
Preferably, scleronomic constraint includes Against Sliding Stability, antidumping is stable and stability against floating constrains.
Compared with prior art, the beneficial effects obtained by the present invention are as follows being: the present invention is based on the streams downstream of particle swarm algorithm
To the miter gate's lock head Optimal Structure Designing system for getting higher journey gallery, it is not required to that there is computational efficiency by extensive matrix operation
The advantages of height, strong operability.And clearly show lock head structure optimization overall process.
Detailed description of the invention
Fig. 1 is the flow diagram of the method for the present invention；
Fig. 2 is the miter gate lock head plan view that flow direction gets higher journey gallery downstream；
Fig. 3 is the miter gate lock head elevation that flow direction gets higher journey gallery downstream；
Fig. 4 is the miter gate lock head sectional view that flow direction gets higher journey gallery downstream；
Fig. 5 is lock head empty van plan view；
Fig. 6 is lock head empty van elevation；
Fig. 7 lock head structure finite element schematic diagram.
Appended drawing reference: 1, bottom plate；2, gallery；3, baffle pier；4, gate opening/closing room；5, valve and valve opening and closing room；6,
Empty van；61, empty van one；62, empty van two；63, empty van three；64, empty van four；65, base plate interior empty van；.
Specific embodiment
The invention will be further described below in conjunction with the accompanying drawings.Following embodiment is only used for clearly illustrating the present invention
Technical solution, and not intended to limit the protection scope of the present invention.
A kind of miter gate's lock head structure optimization that flow direction gets higher journey gallery downstream based on particle swarm algorithm of the invention is set
Meter method, refering to what is shown in Fig. 1, including following procedure:
Step S1 determines that the primary entity for miter gate's lock head structure that flow direction gets higher journey gallery downstream is constituted, obtains each base
The parameter of this entity.
Downstream flow direction get higher miter gate's lock head structure of journey gallery referring to fig. 2 to shown in Fig. 4, can be broken down into bottom plate 1,
Gallery 2, baffle pier 3, gate opening/closing room 4, valve well and valve opening and closing room 5 and 6 six primary entities of empty van are constituted.According to reality
Border ship lock construction drawing determines geometric dimension, material parameter of structure itself of each primary entity of lock head structure etc..It is suitable
Water flow is located at downstream bottom plate boundary midpoint to the miter gate's lock head coordinate origin for getting higher journey gallery, and X is directed toward to from downstream
Trip, Z-direction, which flows vertically to, is directed toward lock head longitudinal axis, and Y-direction is vertically upward.If material parameter includes: elasticity modulus, the Poisson of concrete
Than, density；The elasticity modulus of basic rock mass, Poisson's ratio；Backfill cohesiveness, coefficient of friction, the density of sand gravel.
Step S2 determines the threedimensional model of lock head structure according to the parameter of each primary entity, carries out to lock head structure limited
First grid dividing determines the finite element grid data of each primary entity, so as to subsequent carry out finite element analysis.
It is imported in ABAQUS software according to the parameter of each primary entity, determines the threedimensional model of lock head structure, it is carried out
Finite element divides:
(1) according to lock head structure feature, it is cut with the horizontal plane of different elevations, obtains the truncation of corresponding elevation
Figure, truncation figure should be able to embody the geological structure and geometric modeling of lock head.
Practical lock head cut surface wants that complicated geometric modeling can be fully demonstrated, and will divide at each changes of section on elevation
Layer.Miter gate's lock head structure is divided into 13 layers on elevation in the embodiment of the present invention.First layer block is base plate interior empty van bottom
Space block between face and bottom plate bottom surface, all blocks are all solid concrete in plane, and above each layer is compared with first layer
Compared with only minusing the block at certain positions, flat shape is identical as the corresponding block of first layer, and only elevation direction coordinate is different.
(2) finite element mesh is carried out by plane problem to the truncation figure in step (1), forms the unit of plane problem
With node.
(3) corresponding flat unit in adjacent elevation truncation figure is connected as three-dimensional Rigid Body Element.
The grid portioning parameter and ratio of each primary entity (block) must be it is independent, to establish finite element grid
Data.It, can oneself every layer of block of regulation in automatic mesh gridding in order to achieve the purpose that freely to control grid density degree
The quantity of middle grid, but to consider the linking between block, that is to say, that block wants identical in the number of public edge direction.This
Mesh generation result is as shown in Figure 7 in embodiment.
Step S3 determines optimization design variable, obtains Different Optimization design variable using particle swarm optimization algorithm
Value is based on finite element analysis computation volume of concrete according to the value of the optimization design variable of acquisition, to reach volume of concrete most
Small is objective function, determines optimal optimization design variate-value.
Detailed process are as follows:
1) optimization design variable is determined
For being flowed to for the miter gate's lock head for getting higher journey gallery downstream, its optimization design variable is for describing and really
Determine lock head shape.Overall structure size is related with field geology conditions, and each size of water-carriage system gallery is by lock chamber and to draw
The water project situation in navigation channel has been determined lock throughput capacity and topographic and geologic condition and has been determined, gate opening/closing chamber size meets headstock gear
The requirement of placement, so choosing the dimensional parameters of empty van as design variable.
The parameter of hollow box portion is as optimization design variable.
X=[X1 X2 X3…Xn]T
In formula: n is optimization design variable number.
It includes empty van 1, empty van 2 62, empty van 3 63, sky that flow direction, which gets higher miter gate's lock head hollow box of journey gallery, downstream
Case 4 64 and base plate interior empty van 65, specific structure are shown referring to figs. 5 and 6.4 empty vans and bottom are chosen in the present embodiment
12 parameters of intralamellar part empty van primary entity are shown in Table 1 as optimization design variable, specific variable ginseng.Design variable is set
Value range when to consider relative positional relationship between each structure, it is ensured that in value range design variable no matter why
The unit sum of variation, miter gate's lock head grid model that flow direction gets higher journey gallery downstream will not become, the only grid of change
Size.According to lock head overall structure size and field geology conditions, 12 design parameters of hollow box portion can be calculated
Value range.
The preferred design variable of selection and corresponding value range are shown in Table 1.
1 optimization design variable of table and its variation range table
| Design variable | Design variable range (unit: rice) |
| The length L of empty van one7 | 6.0<L7<6.7 |
| The width B of empty van one7 | 6.0<B7<6.5 |
| One crest level H of empty van7 | 20.23<H7<21.03 |
| Two bottom elevation H of empty van18 | 15.33<H18<16.33 |
| Two crest level H of empty van19 | 18.43<H19<19.03 |
| The length L of empty van three9 | 7.7<L9<8.6 |
| The length L of empty van four2 | 7.7<L2<8.6 |
| The bottom elevation H of empty van three, four6 | 13.43<H6<15.33 |
| The length L of base plate interior empty van10 | 7.1<L10<8.66 |
| The width B of base plate interior empty van10 | 4.8<B10<5.75 |
| Base plate interior empty van bottom elevation H20 | 7.03<H20<8.83 |
| Base plate interior empty van crest level H21 | 11.83<H21<12.33 |
2) objective function and constraint condition are established
The present invention is carried out using miter gate's lock head structure that economic index gets higher journey gallery to flow direction downstream as objective function
Optimization design, i.e. objective function are to keep lock head volume of concrete minimum.The calculation formula of volume of concrete are as follows:
In formula: W is miter gate's lock head structural concrete total volume that flow direction gets higher journey gallery downstream； wiFor i-th of block
Volume；NK is the total block number of lock head structure.
The volume of empty van can be calculated using 12 parameters after optimization, and then lock head structure can be calculated and remove empty van knot
The concrete total volume that structure uses.
Optimization design variable also needs to meet constraint condition, to ensure that the lock head structure after optimizing is to stablize safety.About
Beam condition include the following:
(1) geometrical constraint
The some constraints determined when determining basic parameter according to ship lock drawing.Overall structure size has with field geology conditions
It closes, such as each size of culvert is by the water project situation of lock chamber and approach channel, has determined lock throughput capacity and landform
Geological conditions determines that gate opening/closing chamber size meets the requirement of headstock gear placement.
The size dimension of empty van need to meet the requirement of 1 size range of table.
(2) stress constraint
Under the various load actions of Shiplock Design Code defined, the principal stress of lock head should meet σ1≤[σ1]、σ3
≤[σ3].σ in formula1、σ3Respectively principal tensile stress and principal compressive stress (tensile stress is positive, and compression is negative), [σ1]、[σ3] it is corresponding
Feasible value, the allowable stress of variant operating condition can be different.
(3) scleronomic constraint condition
Against Sliding Stability should carry out shearing strength and Shear Strength checking computations:
1. shearing strength checks, it is calculated according to the following formula:
Wherein: KcFor soil matrix factor against sliding；∑ V is to act on whole load on wall to throw sliding surface normal direction
The summation (kN) of shadow；∑ H is to act on the summation (kN) that whole load tangentially projects sliding surface on wall, and f is antiskid friction
Coefficient (is selected) by specification regulation.
Shown in specification part the following table 2 of factor against sliding.
2 factor against sliding K of tablec
2. Shear Strength checks, factor against sliding should be calculated as follows
Wherein: K 'cThe batholith factor against sliding calculated for Shear；F ' is the antiskid of structure and ground contact surface
Coefficient of friction (is selected) by specification regulation；∑ V is to act on the summation (kN) that whole load projects sliding surface normal direction on wall；
C ' is the Shear cohesive strength (kPa) of structure and ground contact surface；A is the contact area (m of structure and ground2)；∑ H is effect
The summation (kN) that whole load tangentially projects sliding surface on wall.
3. antidumping Stability Checking Calculation, calculation formula are as follows:
Wherein: K0For soil matrix antidumping buckling safety factor；MRFor to calculate section front toe stabilizing moment (kNm) it
With the torque generated including uplift pressure；M0For to calculate section front toe the sum of tilting moment (kNm), including
The torque that osmotic pressure generates.
The specification of antidumping buckling safety factor see the table below shown in 3.
3 antidumping buckling safety factor K of table0
4. stability against floating checks, calculation formula are as follows:
Wherein: KfFor soil matrix stability against floating safety coefficient；V is downward vertical force summation (kN)；U is uplift pressure summation
(kN)。
Shown in specification part the following table 4 of stability against floating safety coefficient.
4 stability against floating safety coefficient K of tablef
| Hydraulic structure rank | Safety coefficient |
| 1、2 | ≥1.1 |
| 3、4、5 | ≥1.05 |
3) hollow box portion design parameter is optimized using particle swarm algorithm
(1) parameter of particle swarm algorithm: population S=50, Studying factors C is set1=C2=2, algorithm maximum number of iterations
Itmax=1000 or convergence precision ξ=0.01, the velocity interval [V of particlemin,Vmax]；The position X of random initializtion multiple spotiAnd
Speed ViIf the position X of i-th of particle at this timeiIndividual desired positions in certain when one-dimensional are the P of each particlewi, from individual
Global extremum is found out in value, recording the best values is gw。
(2) evaluate each particle: adaptive value based on finite element analysis computation particle (meets objective function and about
Beam condition), if being better than the current individual extreme value of the particle, by individual extreme value PwiIt is set as the position of the particleIf
It is best in the individual extreme value of all particles to be better than current global extremum, then by gwIt is set as the position of the particleIt updates
Global extremum.
(3) update of particle state: the speed of each particle and position are updated with following two formula.IfIt is set to Vmax；IfIt is set to Vmin。
Subscript i represents the jth dimension of i-th of particle, subscript j representation speed or position in formula, and subscript k represents the number of iterations,WithIt is i-th of particle P respectivelyiThe speed of jth dimension and position in kth time iteration；r1And r2It is between [0,1]
Random number；It is particle PiIn the coordinate of the individual extreme value of jth dimension；It is seat of the group in jth dimension global extremum
Mark.
(4) it checks whether to meet termination condition: if current the number of iterations has reached preset maximum times
Itmax or final result are less than the precision ξ requirement of predetermined convergence, then stop iteration, export optimal solution；Otherwise step (2) are gone to
It continues searching.
The present invention is based on the flow directions downstream of particle swarm algorithm to get higher miter gate's lock head optimum structure design method of journey gallery,
It is not required to that there is the advantages of computational efficiency is high, strong operability by extensive matrix operation；And clearly show that lock head structure is excellent
Change overall process.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, without departing from the technical principles of the invention, several improvements and modifications, these improvements and modifications can also be made
Also it should be regarded as protection scope of the present invention.
Claims (6)
1. a kind of flow direction downstream based on particle swarm algorithm gets higher miter gate's lock head optimum structure design method of journey gallery, special
Sign is, including following procedure:
S1 determines that the primary entity for miter gate's lock head structure that flow direction gets higher journey gallery downstream is constituted, obtains each primary entity
Parameter；
S2 determines the threedimensional model of lock head structure according to the parameter of each primary entity, carries out finite element grid to lock head structure and draws
Point；
S3 determines optimization design variable, obtains the value of Different Optimization design variable using particle swarm optimization algorithm, according to obtaining
The value of the optimization design variable obtained is based on finite element analysis computation volume of concrete, to reach the minimum target letter of volume of concrete
It counts and meets constraint condition, determine optimal optimization design variate-value.
2. miter gate's lock head knot that a kind of flow direction downstream according to claim 1 based on particle swarm algorithm gets higher journey gallery
Structure optimum design method, characterized in that it includes bottom plate, gallery, shunting that flow direction, which gets higher miter gate's lock head structure of journey gallery, downstream
Pier, gate opening/closing room, valve well and valve opening and closing room and six primary entities of empty van.
3. miter gate's lock head knot that a kind of flow direction downstream based on particle swarm algorithm according to claim 2 gets higher journey gallery
Structure optimum design method, characterized in that choose the dimensional parameters of empty van primary entity as design variable.
4. miter gate's lock head knot that a kind of flow direction downstream based on particle swarm algorithm according to claim 2 gets higher journey gallery
Structure optimum design method, characterized in that empty van primary entity includes empty van one, empty van two, empty van three, empty van four and base plate interior
Empty van chooses the length of empty van one, the width of empty van one, one crest level of empty van, two bottom elevation of empty van, two crest level of empty van, sky
The length of case three, the length of empty van four, the bottom elevation of empty van three, four, the length of base plate interior empty van, base plate interior empty van width
Degree, base plate interior empty van bottom elevation and base plate interior empty van crest level totally 12 optimization design variables.
5. miter gate's lock head knot that a kind of flow direction downstream based on particle swarm algorithm according to claim 1 gets higher journey gallery
Structure optimum design method, characterized in that constraint condition includes geometrical constraint, stress constraint and scleronomic constraint.
6. miter gate's lock head knot that a kind of flow direction downstream based on particle swarm algorithm according to claim 5 gets higher journey gallery
Structure optimum design method, characterized in that scleronomic constraint includes Against Sliding Stability, antidumping is stable and stability against floating constrains.
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| CN106202649A (en) * | 2016-06-29 | 2016-12-07 | 河海大学 | Consider concretion of soft foundation and the lock head Construction simulation method of concrete creep |
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| CN106202649A (en) * | 2016-06-29 | 2016-12-07 | 河海大学 | Consider concretion of soft foundation and the lock head Construction simulation method of concrete creep |
| CN106650016A (en) * | 2016-11-23 | 2017-05-10 | 上海交通大学 | Body side structure multi-working-condition collaborative optimization implementation method based on particle swarm optimization |
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