CN107194092A - The determination method of peripheral flow field length in the analysis of mima type microrelief Simulation of Wind Field - Google Patents
The determination method of peripheral flow field length in the analysis of mima type microrelief Simulation of Wind Field Download PDFInfo
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Abstract
The invention provides the determination method of peripheral flow field length in a kind of analysis of mima type microrelief Simulation of Wind Field, wherein, this method comprises the following steps：It is determined that the shape on continuous mountain peak Zhong Meizuo mountain peaks；Multiple air monitoring points are set in the top on every mountain peak, Simulation of Wind Field analysis is carried out, determines the wind speed at each air monitoring point；According to the wind speed at each air monitoring point, the similarity factor of wind profile between adjacent two mountain peaks is determined successively；When similarity factor is less than or equal to convergence tolorence, each mountain peak is defined as peripheral flow field length on continuous mountain peak arragement direction apart from sum by previous seat mountain peak in adjacent two mountain peaks and before.In the present invention, Simulation of Wind Field analysis can be convenient for, is conducive to the calculating of computer, the degree of accuracy that peripheral flow field length is calculated can be effectively improved, and then Simulation of Wind Field precision of analysis is ensure that, simple landform is applicable not only to, complicated landform is applied also for.
Description
Technical field
Prevented and reduced natural disasters technical field the present invention relates to equipment for power transmission and distribution, in particular to a kind of mima type microrelief Simulation of Wind Field
The determination method of peripheral flow field length in analysis.
Background technology
With the continuous improvement of computer software and hardware computing capability, mima type microrelief region wind is obtained by fluid emulation analysis
The application of field characteristic is increasingly easy to realize.In fluid emulation analysis is carried out, due to that can not know that mima type microrelief region becomes a mandarin side
True section at boundary, so, often assume that the arrives stream wind speed section of infinite point is obeyed and power exponent is used under A~D class landforms
The wind profile curve that rate mode is obtained.Wind is behind some mountain peaks, and wind profile is basicly stable, and now wind field is stabilization
Wind field, the result for the Simulation of Wind Field analysis that such mima type microrelief region is obtained is just more accurate, it is thus necessary to determine that peripheral flow field
Length, so that the wind field stablized behind peripheral flow field.In general, the longer the better in peripheral flow field, so, entering
During sector-style simulation analysis, the grid in the analog peripherals flow field produced increases, and the hardware resource of computer is limited, and grid increases
Computer can be caused to calculate more inaccurate, or even can not calculated, have impact on the result of simulation analysis.And under normal circumstances, it is determined that
The method of peripheral flow field length is determined according to the conclusion of associated fluid, but can not be applicable for complicated landform.
The content of the invention
In consideration of it, the present invention proposes a kind of determination method of peripheral flow field length in mima type microrelief Simulation of Wind Field analysis, purport
Easily occur calculating the problem of inaccurate and complicated landform can not be applicable solving the existing method for determining peripheral flow field length.
The present invention proposes a kind of determination method of peripheral flow field length in mima type microrelief Simulation of Wind Field analysis, and this method includes
Following steps：It is determined that the shape on continuous mountain peak Zhong Meizuo mountain peaks；Multiple air monitoring points are set in the top on every mountain peak, carried out
Simulation of Wind Field is analyzed, and determines the wind speed at each air monitoring point；According to the wind speed at each air monitoring point, adjacent two are determined successively
The similarity factor of wind profile between seat mountain peak；When similarity factor is less than or equal to convergence tolorence, before in adjacent two mountain peaks
One mountain peak and before each mountain peak are defined as peripheral flow field length on continuous mountain peak arragement direction apart from sum.
Further, in above-mentioned mima type microrelief Simulation of Wind Field analysis in the determination method of peripheral flow field length, it is determined that continuous mountain
The step of shape on peak Zhong Meizuo mountain peaks, further comprises：It is determined that in continuous mountain peak mountain peak quantity n；Set up every mountain shape
Model, and set the height H on every mountain peak and positioned at every mountain peak mid-height and close to the position of mountain peak starting point with rising
Initial point on continuous mountain peak arragement direction apart from Lh。
Further, in above-mentioned mima type microrelief Simulation of Wind Field analysis in the determination method of peripheral flow field length, every mountain peak shape
The model of shape is SIN function model.
Further, in above-mentioned mima type microrelief Simulation of Wind Field analysis in the determination method of peripheral flow field length, on every mountain peak
Top multiple air monitoring points are set, carry out Simulation of Wind Field analysis, the step of determining the wind speed at each air monitoring point enters one
Step includes：And according to the quantity n on mountain peak in continuous mountain peak, the height H on every mountain peak and positioned at every mountain peak mid-height lean on
The position of nearly mountain peak starting point and starting point on continuous mountain peak arragement direction apart from LhDetermine computational fields；Enter in computational fields
Row mesh generation；Multiple air monitoring points, also, every mountain are set in the preset height above every mountain peak summit and summit
The relative position all same that each air monitoring point at peak is set；Set turbulence model, turbulence intensity, the wind profile shape that becomes a mandarin and rise
Become a mandarin wind speed at the foot of the hill of beginning mountain peak, carries out Simulation of Wind Field analysis, determines the wind speed at each air monitoring point.
Further, in above-mentioned mima type microrelief Simulation of Wind Field analysis in the determination method of peripheral flow field length, according to continuous mountain
The quantity n on mountain peak in peak, the height H on every mountain peak and described it is located at every mountain peak mid-height and close to mountain peak starting
Position and the starting point of point on continuous mountain peak arragement direction apart from LhIn the step of determining computational fields, computational fields are length
Cube computational fields, the length of computational fields is more than or equal to 8nLh, the width of computational fields is more than or equal to 4Lh, the height of computational fields is more than etc.
In 2H.
Further, in above-mentioned mima type microrelief Simulation of Wind Field analysis in the determination method of peripheral flow field length, on every mountain peak
Multiple air monitoring points, also, the setting of the air monitoring point on every mountain peak are set in the preset height above summit and summit
In the step of position all same, from the summit on every mountain peak to every mountain peak above preset height at pre-determined distance
Air monitoring point is set.
Further, in above-mentioned mima type microrelief Simulation of Wind Field analysis in the determination method of peripheral flow field length, according to each described
In wind speed at air monitoring point, the step of similarity factor of wind profile between adjacent two mountain peaks is determined successively, according to public affairs
FormulaCalculate the similarity factor of wind profile between two neighboring mountain peak | | P | |, in formula, Zj
For each air monitoring point set above every mountain peak, NZFor the sum of the air monitoring point set above every mountain peak, Ui+1
(Zj) it is i+1 seat mountain peak ZjWind speed at individual air monitoring point, Ui(Zj) it is i-th mountain peak ZjAt individual air monitoring point
Wind speed.
In the present invention, by determining the shape on continuous mountain peak, Simulation of Wind Field analysis is convenient for, beneficial to the meter of computer
Calculate, it is ensured that the degree of accuracy of wind speed at air monitoring point, then by calculating the similar system of wind profile between adjacent two mountain peaks
Number, and unstable flow field is determined with convergence tolorence according to similarity factor, and then determine the peripheral flow field in unstable flow field
Length, the degree of accuracy that peripheral flow field length is calculated can be effectively improved, and then ensure that the standard of Simulation of Wind Field analysis result
True property, is applicable not only to simple landform, applies also for complicated landform, solves the existing method for determining peripheral flow field length easy
Occur calculating the problem of inaccurate and complicated landform can not be applicable.
Brief description of the drawings
By reading the detailed description of hereafter preferred embodiment, various other advantages and benefit is common for this area
Technical staff will be clear understanding.Accompanying drawing is only used for showing the purpose of preferred embodiment, and is not considered as to the present invention
Limitation.And in whole accompanying drawing, identical part is denoted by the same reference numerals.In the accompanying drawings：
Fig. 1 is the stream of the determination method of peripheral flow field length during mima type microrelief Simulation of Wind Field provided in an embodiment of the present invention is analyzed
Cheng Tu；
During Fig. 2 analyzes for mima type microrelief Simulation of Wind Field provided in an embodiment of the present invention in the determination method of periphery flow field length,
Determine the flow chart of mountain shape step；
During Fig. 3 analyzes for mima type microrelief Simulation of Wind Field provided in an embodiment of the present invention in the determination method of periphery flow field length,
The structural representation on single seat mountain peak；
During Fig. 4 analyzes for mima type microrelief Simulation of Wind Field provided in an embodiment of the present invention in the determination method of periphery flow field length,
Determine the flow chart of wind speed step at air monitoring point；
During Fig. 5 analyzes for mima type microrelief Simulation of Wind Field provided in an embodiment of the present invention in the determination method of periphery flow field length,
Mima type microrelief Simulation of Wind Field analyzes Wind Field structural representation.
Embodiment
The exemplary embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although showing the disclosure in accompanying drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
Limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure
Complete conveys to those skilled in the art.It should be noted that in the case where not conflicting, embodiment in the present invention and
Feature in embodiment can be mutually combined.Describe the present invention in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
Referring to Fig. 1, Fig. 1 for peripheral flow field length in true mima type microrelief Simulation of Wind Field analysis provided in an embodiment of the present invention really
Determine the flow chart of method.As illustrated, the determination method of peripheral flow field length includes following step in the analysis of mima type microrelief Simulation of Wind Field
Suddenly：
Mountain shape determines step S1, it is determined that the shape on continuous mountain peak Zhong Meizuo mountain peaks.
Specifically, in mima type microrelief Simulation of Wind Field analysis is carried out, the quantity on many mountain peaks should be first determined, many mountain peaks are successively
Continuous arrangement, forms unbroken mountain range, is easy to preferably carry out Wind Analysis.Continuous mountain peak Zhong Gezuo mountain peaks be head and the tail successively
It is connected, then continuous mountain peak is in strip.The total quantity on mountain peak in continuous mountain peak should be first determined, and determine the shape on every mountain peak.
When it is implemented, the shape in each seat mountain peak should be identical, then the shape on wherein one mountain peak need to be only determined.
Wind speed determines step S2, sets multiple air monitoring points in the top on every mountain peak, carries out Simulation of Wind Field analysis, really
Wind speed at fixed each air monitoring point.
Specifically, multiple air monitorings are respectively provided with the preset height above summit to every mountain peak on every mountain peak
Quantity and position all same that each air monitoring point above point, also, every mountain peak is set.Reset in Simulation of Wind Field analysis
Required other specification, starts Simulation of Wind Field analysis.
Similarity factor determines step S3, according to the wind speed at each air monitoring point, determines successively between adjacent two mountain peaks
The similarity factor of wind profile.
Specifically, according to formulaCalculate wind profile between adjacent two mountain peaks
Similarity factor | | P | |, in formula, ZjFor each air monitoring point set above every mountain peak, NZFor the wind set above every mountain peak
The sum of slowdown monitoring point, Ui+1(Zj) it is i+1 seat mountain peak ZjWind speed at individual air monitoring point, Ui(Zj) it is i-th mountain peak
ZjWind speed at individual air monitoring point.
Peripheral flow field length determines step S4, when similarity factor is less than or equal to convergence tolorence, by adjacent two mountain peaks
Previous seat mountain peak and before each mountain peak are defined as peripheral flow field length on continuous mountain peak arragement direction apart from sum.
Specifically, epskRepresent convergence tolorence.When it is implemented, convergence tolorence epsk, can be according to relevant regulations for constant
To determine.Work as similarity factor | | P | | less than or equal to convergence tolorence epskWhen, determine in adjacent two mountain peaks after previous seat mountain peak
Wind field be steady flow condition, the wind field before previous seat mountain peak and previous seat mountain peak is unstable flow field, peripheral flow field
Length is the length in unstable flow field.Because continuous mountain peak is arranged in strip, so, continuous mountain peak arragement direction is length
The direction of strip.In adjacent two mountain peaks previous seat mountain peak and before distance of each mountain peak on continuous mountain peak arragement direction it
With, each mountain peak in as adjacent two mountain peaks before previous seat mountain peak and previous seat mountain peak on strip direction it is vertical away from
From sum, its vertical range sum is defined as peripheral flow field length.The flow field that wind field is stablized after peripheral flow field.
As can be seen that in above-described embodiment, by determining the shape on continuous mountain peak, being convenient for Simulation of Wind Field analysis, profit
In the calculating of computer, it is ensured that the degree of accuracy of wind speed at air monitoring point, then by calculating wind speed between adjacent two mountain peaks
The similarity factor of section, and unstable flow field is determined with convergence tolorence according to similarity factor, and then determine to be in unsteady flow
The length in the peripheral flow field of field, can effectively improve the degree of accuracy that peripheral flow field length is calculated, and then ensure that Simulation of Wind Field
Precision of analysis, is applicable not only to simple landform, applies also for complicated landform, solves the peripheral flow field of existing determination
The method of length easily occurs calculating the problem of inaccurate and complicated landform can not be applicable.
Referring to Fig. 2, Fig. 2 is the determination of peripheral flow field length during mima type microrelief Simulation of Wind Field provided in an embodiment of the present invention is analyzed
In method, the flow chart of mountain shape step is determined.As illustrated, to determine that step S1 further comprises as follows for above-mentioned mountain shape
Step：
Step S11, it is determined that in continuous mountain peak mountain peak quantity n.
Specifically, when carrying out Simulation of Wind Field analysis, the quantity on mountain peak in continuous mountain peak is set according to actual needs.
Step S12, sets up the model of every mountain shape, and sets the height H on every mountain peak and positioned at every mountain peak height
Spend half and close to the position of mountain peak starting point and starting point on continuous mountain peak arragement direction apart from Lh。
Specifically, the shape on continuous mountain peak Zhong Meizuo mountain peaks is identical, therefore, the mould of every mountain shape of foundation
Type is also identical.In the present embodiment, the model of every mountain shape is SIN function model, by the shape on every mountain peak
It is expressed as with parametrization equation：In formula, x is each position in every mountain peak even
The distance of the distance mountain peak starting point on continuous mountain peak arragement direction, z is the height at each position in every mountain peak, and H is every
The total height on mountain peak, LhFor positioned at every mountain peak mid-height and close to the mountain peak starting point position and starting point on continuous mountain
Distance on peak arragement direction.Because the shape on every mountain peak is identical, so, with any one mountain in continuous mountain peak
Exemplified by peak, and the mountain peak is designated as monomer mountain peak, x be in monomer mountain peak each position on continuous mountain peak arragement direction with the list
The distance between body mountain peak starting point, z is the height at each position in monomer mountain peak, and H is the total height on monomer mountain peak, its
In, zmax=H, LhFor positioned at monomer mountain peak mid-height and close to the position of monomer mountain peak starting point and monomer mountain peak starting point
Distance on continuous mountain peak arragement direction, the overall height H on every monomer mountain peak is identical, LhIt is also identical.Referring to
The shape on monomer mountain peak is shown in Fig. 3, figure.Each position is on continuous mountain peak arragement direction in the monomer mountain peak that X-axis is represented
The distance between with the monomer mountain peak starting point, what Z axis was represented is the height at each position in monomer mountain peak.Due to monomer mountain
The shape at peak meets SIN function, so the shape on monomer mountain peak is on vertical axis at the summit of monomer mountain peak or so pair
Claim, then the position of monomer mountain peak mid-height there are two, will be close to monomer mountain peak starting point, (left side shown in Fig. 3 is monomer mountain
The original position at peak) position as first position, will be far from the position of monomer mountain peak starting point as the second place, this first
Position is designated as L with distance of the monomer mountain peak starting point on continuous mountain peak arragement directionh, then the second place and the starting of monomer mountain peak
Distance of the point on continuous mountain peak arragement direction is 3Lh, distance of the monomer mountain peak on continuous mountain peak arragement direction is 4Lh。
The height H on every mountain peak and positioned at every mountain peak mid-height and close to the position of mountain peak starting point and starting point
On continuous mountain peak arragement direction apart from LhThe different numerical value of setting can be carried out according to actual conditions, the present embodiment is to this
Any limitation is not done.The gradient on every mountain peak isAccording to SIN function model parametrization equation and setting it is every
Seat mountain peak height H, apart from LhThe shape on every mountain peak is determined with the gradient on every mountain peak.Further according to mountain peak quantity, it is determined that even
Total shape on continuous mountain peak.
When it is implemented, the model of every mountain shape can using other models, as long as can model determine list
The shape on body mountain peak, the present embodiment does not do any limitation to this.
As can be seen that in the present embodiment, the shape on continuous mountain peak Zhong Meizuo mountain peaks is represented with SIN function, it is easy to determine
The shape on continuous mountain peak, is easy to follow-up Simulation of Wind Field to analyze, simple and convenient.
Referring to Fig. 4, Fig. 4 is the determination of peripheral flow field length during mima type microrelief Simulation of Wind Field provided in an embodiment of the present invention is analyzed
In method, the flow chart of wind speed step at air monitoring point is determined.As illustrated, at above-mentioned determination air monitoring point wind speed step
Suddenly, i.e., wind speed determines step S2, further comprises following steps：
Computational fields determine sub-step S21, according to the quantity n on mountain peak in continuous mountain peak, the height H on every mountain peak and are located at
Every mountain peak mid-height and close to the position of mountain peak starting point and starting point on continuous mountain peak arragement direction apart from LhReally
Determine computational fields.
Specifically, it needs to be determined that computational fields in Simulation of Wind Field analysis, because continuous mountain peak is in strip, so computational fields
For the computational fields of rectangular-shape, the length of computational fields is more than or equal to 8nLh, the width of computational fields is more than or equal to 4Lh, the height of computational fields
Degree is more than or equal to 2H.Certainly, computational fields can also be other shapes, when it is implemented, can be determined according to actual conditions,
The present embodiment is not intended to be limited in any to this.The length, width and height of computational fields can also according to the quantity n on actual conditions combination mountain peak, every
The height H on mountain peak and apart from LhIt is determined that other ranges of choice, the present embodiment is not intended to be limited in any to this.
Mesh generation sub-step S22, carries out mesh generation in computational fields.
Specifically, the relevant regulations in being analyzed in the computational fields that above-mentioned steps S21 is determined according to Simulation of Wind Field are divided
Grid, wherein, the grid in mesh generation is the wind speed of an air bolus in each grid representation wind field for modeling wind field
Situation.
Air monitoring point sets sub-step S23, sets multiple in the preset height above every mountain peak summit and summit
Air monitoring point, also, the relative position all same of each air monitoring point setting on every mountain peak.
Specifically, from the summit on every mountain peak to every mountain peak above preset height at pre-determined distance set
Air monitoring point, i.e., set first air monitoring point at the summit on every mountain peak, then mountain peak top every default
Distance just sets an air monitoring point.The relative position all same that each air monitoring point on every mountain peak is set, that is,
Say, the height that each air monitoring point on every mountain peak is set is corresponding, for example：The is set at summit on every mountain peak
One air monitoring point, then sets air monitoring at the height such as 10m, 20m, 30m ... respectively above corresponding mountain peak
Point.Also, the quantity all same that the air monitoring point on every mountain peak is set.When it is implemented, preset height and with it is default away from
From can be determined according to actual conditions, the present embodiment does not do any limitation to this.
Airspeedometer operator step S24, setting turbulence model, turbulence intensity, the wind profile shape that becomes a mandarin and the starting mountain peak foot of the hill
Place becomes a mandarin wind speed, carries out Simulation of Wind Field analysis, determines the wind speed at each air monitoring point.
Specifically, become a mandarin wind at turbulence model turbulence model, turbulence intensity, the wind profile shape that becomes a mandarin and the starting mountain peak foot of the hill
Speed can be set according to actual conditions or actual demand.The wind profile shape that becomes a mandarin can be used under A~D class landforms
One kind is chosen in the wind profile curve that power exponent rate mode is obtained to become a mandarin wind profile shape.In the present embodiment, turbulence model
For RNS turbulence models, turbulence intensity is set as 2%, and the wind profile shape that becomes a mandarin obeys the wind profile under B class landforms.Wind field exists
The wind speed of each position is entirely different above every mountain peak and mountain peak, and continuous mountain need to be only determined when starting Simulation of Wind Field analysis
The wind speed that becomes a mandarin at the foot of the hill on mountain peak is originated in peak.When it is implemented, in Simulation of Wind Field analysis, at each air monitoring point
Wind speed be to be drawn by CFD scannings, also, the wind speed at each air monitoring point for drawing of CFD scannings is wind speed prison
The mean wind speed of measuring point.
As can be seen that in the present embodiment, determining that the parameter set in step S1 determines Simulation of Wind Field point according to mountain shape
The volume of computational fields in analysis, then the grid division in computational fields, can efficiently reduce the grid of division, it is ensured that mesh generation
Rationally, reduce the workload of computer, it is ensured that the degree of accuracy that computer is calculated, also, each wind is obtained by Simulation of Wind Field analysis
Wind speed at slowdown monitoring point, it can be ensured that the accuracy of wind speed at each air monitoring point, so ensure that adjacent two mountain peaks it
Between wind profile similarity factor calculate accuracy, so as to ensure that the accurate of peripheral flow field length.
The determination method of peripheral flow field length in the analysis of mima type microrelief Simulation of Wind Field is discussed in detail below by specific example：
(1) referring to Fig. 3, the SIN function model on monomer mountain peak is set up, the height H on monomer mountain peak is set as 300m, set
Positioned at monomer mountain peak mid-height and close to the position of mountain peak starting point and distance of the starting point on continuous mountain peak arragement direction
LhFor 100m, the gradient on monomer mountain peakParametrization equation in SIN function model determines single
The shape on body mountain peak.
(2) referring to Fig. 5, it is determined that in continuous mountain peak mountain peak quantity n=10,10 monomer mountain peaks head and the tail are sequentially connected,
Form continuous hills and mountains model.
(3) setup algorithm length of field is 8nLh=8 × 10 × 100=800m, the width of computational fields is 4Lh=4 × 100=
400m, the height of computational fields is 2H=2 × 300=600m, determines the computational fields of rectangular-shape.
(4) mesh generation is carried out in the computational fields of above-mentioned determination, is specially：Press close to below the 1m height on mountain peak, use
0.1m grid height, 1m mesh width and 2m Gridding length, are divided based on hexahedral mesh near wall flow field；
1m is to the grid between 10m height, using 0.2m grid height, 1m mesh width and 2m Gridding length, based on six faces
Volume mesh is divided near wall flow field；10m is to the grid between 50m height, using 0.3m grid height, 1m grid
The Gridding length of width and 2m, is divided based on hexahedral mesh near wall flow field；50m is to the net between 200m height
Lattice, using 1m grid height, 1m mesh width and 2m Gridding length, are carried out based on hexahedral mesh near wall flow field
Divide；200m is to the grid between 600m height, using 10m grid height, 1m mesh width and 2m Gridding length, base
Near wall flow field is divided in hexahedral mesh.
(5) wherein at the summit on any mountain peak set first air monitoring point, then every 10m height at this
The top of mountain peak summit sets an air monitoring point, until stopping setting air monitoring point at the top 400m of mountain peak summit.
Specifically, each air monitoring point is designated as Zj, the position that air monitoring point is set is followed successively by：Z1=300m (at the summit on mountain peak),
Z2=310m, Z3=320m ... ..Zj=700m (above the summit of mountain peak at 400m), determines the wind speed set above every mountain peak
The total N of monitoring pointZ.The relative position all same that each air monitoring point on 10 mountain peaks is set, the i.e. summit on every mountain peak
Place set first air monitoring point, then every 10m height the mountain peak summit top set an air monitoring point,
Until stopping setting air monitoring point at the top 400m of mountain peak summit.Also, set above the Zhong Meizuo mountain peaks of 10 mountain peaks
The total N of air monitoring pointZAlso all same.
(6) turbulence model uses RNS turbulence models, and turbulence intensity is set as 2%, and the wind profile shape that becomes a mandarin is with obeying B classes
The wind speed that become a mandarin at wind profile under looks, the starting mountain peak foot of the hill originates the wind speed that become a mandarin at the 10m height of mountain peak and is set as 10m/s,
Start Simulation of Wind Field analysis.
(7) each seat mountain peak in continuous mountain peak is designated as Hi, wind profile is designated as Pi, each wind speed prison during Simulation of Wind Field is analyzed
Measuring point ZjThe wind speed at place, substitutes into formulaIn, Ui+1(Zj) it is i+1 seat mountain peak ZjIndividual wind
Wind speed at slowdown monitoring point, Ui(Zj) it is i-th mountain peak ZjWind speed at individual air monitoring point, calculates adjacent two mountain peaks
Between wind profile similarity factor | | P | |.Take convergence tolorence epskFor 0.005, wind profile between adjacent seats mountain peak is judged
Similarity factor | | P | | with convergence tolorence epskBetween size, if similarity factor | | P | | more than convergence tolorence epskRepresent not
The condition of convergence is met, continues the similarity factor of wind profile between next group of adjacent two mountain peak of calculating | | P | | with convergence tolorence
epskBetween size, until similarity factor | | P | | less than or equal to convergence tolorence epskExpression meets the condition of convergence, stops calculating.
For example：The similarity factor of wind profile between First mountain peak and second mountain peak | | P | | more than convergence tolorence epsk, represent not
The condition of convergence is met, continues to calculate the similarity factor of wind profile between second mountain peak and the 3rd mountain peak | | P | |, if the phase
Like coefficient | | P | | more than convergence tolorence epsk, the sufficient condition of convergence with thumb down continues to calculate the 3rd mountain peak and the 4th mountain peak
Between wind profile similarity factor | | P | |, and judge similarity factor | | P | | whether less than or equal to convergence tolorence epsk, repeat
Said process, up to the similarity factor of wind profile between i-th mountain peak and i+1 seat mountain peak | | P | | hold less than or equal to convergence
Poor epsk, it is determined that i+1 seat mountain peak and wind field afterwards will include i-th mountain peak to stablize wind field before i-th mountain peak
It is defined as peripheral flow field length apart from sum on continuous mountain peak arragement direction, i.e.,Under
Face is for example, table 1 is the similarity factor of wind profile between the two neighboring mountain peak calculated | | P | |.
Table 1 is the similarity factor of wind profile between two neighboring mountain peak | | P | |.
The similarity factor of wind profile between the 6th mountain peak and the 7th mountain peak is can be seen that according to table 1 | | P | | it is
0.004,0.004 is less than convergence tolorence 0.005, then the wind field after the 7th mountain peak is stablizes wind field, by the 1st mountain peak to the 6th
Seat mountain peak is defined as peripheral flow field length on continuous mountain peak arragement direction apart from sum, i.e.,
In summary, in the present embodiment, by determining the shape on continuous mountain peak, Simulation of Wind Field analysis is convenient for, is beneficial to
The calculating of computer, it is ensured that the degree of accuracy of wind speed at air monitoring point, then by calculating adjacent two mountain peaks between wind speed cut open
The similarity factor in face, and unstable flow field is determined with convergence tolorence according to similarity factor, and then determine to be in unstable flow field
Peripheral flow field length, the degree of accuracy that peripheral flow field length is calculated can be effectively improved, and then ensure that Simulation of Wind Field point
The accuracy of result is analysed, simple landform is applicable not only to, applies also for complicated landform.
Obviously, those skilled in the art can carry out the essence of various changes and modification without departing from the present invention to the present invention
God and scope.So, if these modifications and variations of the present invention belong to the scope of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to comprising including these changes and modification.
Claims (7)
1. a kind of determination method of peripheral flow field length in mima type microrelief Simulation of Wind Field analysis, it is characterised in that comprise the following steps：
It is determined that the shape on continuous mountain peak Zhong Meizuo mountain peaks；
Multiple air monitoring points are set in the top on every mountain peak, Simulation of Wind Field analysis is carried out, determines at each air monitoring point
Wind speed；
According to the wind speed at each air monitoring point, the similarity factor of wind profile between adjacent two mountain peaks is determined successively；
When the similarity factor is less than or equal to convergence tolorence, by previous seat mountain peak in adjacent two mountain peaks and each mountain peak exists before
It is defined as peripheral flow field length apart from sum on the arragement direction of continuous mountain peak.
2. the determination method of peripheral flow field length in mima type microrelief Simulation of Wind Field analysis according to claim 1, its feature exists
In, it is described determine continuous mountain peak Zhong Meizuo mountain peaks shape the step of further comprise：
It is determined that in continuous mountain peak mountain peak quantity n；
The model of every mountain shape is set up, and sets the height H on every mountain peak and positioned at every mountain peak mid-height and close
The position of the mountain peak starting point and the starting point on continuous mountain peak arragement direction apart from Lh。
3. the determination method of peripheral flow field length in mima type microrelief Simulation of Wind Field analysis according to claim 2, its feature exists
In the model of every mountain shape is SIN function model.
4. the determination method of peripheral flow field length in mima type microrelief Simulation of Wind Field analysis according to claim 2, its feature exists
In the top on every mountain peak sets multiple air monitoring points, carries out Simulation of Wind Field analysis, determines at each air monitoring point
Wind speed the step of further comprise：
According to the quantity n on mountain peak in continuous mountain peak, the height H on every mountain peak and described it be located at every mountain peak mid-height and lean on
The position of the nearly mountain peak starting point and the starting point on continuous mountain peak arragement direction apart from LhDetermine computational fields；
Mesh generation is carried out in the computational fields；
Multiple air monitoring points are set in the preset height above every mountain peak summit and summit, also, every mountain peak is each
The relative position all same that air monitoring point is set；
Become a mandarin wind speed at setting turbulence model, turbulence intensity, the wind profile shape that becomes a mandarin and the starting mountain peak foot of the hill, carries out Simulation of Wind Field
Analysis, determines the wind speed at each air monitoring point.
5. the determination method of peripheral flow field length in mima type microrelief Simulation of Wind Field analysis according to claim 4, its feature exists
In, the quantity n on mountain peak in the continuous mountain peak of basis, every mountain peak height H and described be located at every mountain peak mid-height
And close to the mountain peak starting point position and the starting point on continuous mountain peak arragement direction apart from LhDetermine computational fields
The step of in,
The computational fields are cuboid computational fields, and the length of the computational fields is more than or equal to 8nLh, the width of the computational fields is more than
Equal to 4Lh, the height of the computational fields is more than or equal to 2H.
6. the determination method of peripheral flow field length in mima type microrelief Simulation of Wind Field analysis according to claim 4, its feature exists
In, multiple air monitoring points are set in the preset height above every mountain peak summit and summit, also, every mountain peak
In the step of set location all same of air monitoring point,
Air monitoring point is being set at pre-determined distance in preset height above from the summit on every mountain peak to every mountain peak.
7. the determination method of peripheral flow field length in mima type microrelief Simulation of Wind Field analysis according to claim 1, its feature exists
In the wind speed according at each air monitoring point determines the similar system of wind profile between adjacent two mountain peaks successively
In several steps,
According to formulaCalculate the similarity factor of wind profile between two neighboring mountain peak | | P
| |, in formula, ZjFor each air monitoring point set above every mountain peak, NZFor the air monitoring point of setting above every mountain peak
Sum, Ui+1(Zj) it is i+1 seat mountain peak ZjWind speed at individual air monitoring point, Ui(Zj) it is i-th mountain peak ZjIndividual wind speed prison
Wind speed at measuring point.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112163259A (en) * | 2020-09-27 | 2021-01-01 | 西南交通大学 | Method for determining equivalent wind speed ratio of wind profile of typical railway infrastructure |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20120077192A (en) * | 2010-12-30 | 2012-07-10 | 쎄딕(주) | Method for automatic analysis of wind field by computational fluid dynamics |
| CN103699804A (en) * | 2013-12-31 | 2014-04-02 | 西安热工研究院有限公司 | Method for monitoring power output deviation in real time during running of wind turbines |
| CN105405164A (en) * | 2015-09-21 | 2016-03-16 | 河海大学 | Terrain reformation method of complex-terrain wind farm |
| CN105512413A (en) * | 2015-12-15 | 2016-04-20 | 北京市建筑设计研究院有限公司 | Modeling method applicable to numerical wind tunnel simulation of mountainous building |
| CN105911467A (en) * | 2016-04-21 | 2016-08-31 | 华电电力科学研究院 | Wind turbine generator set power curve examination and assessment method under complex terrain |
-
2017
- 2017-05-27 CN CN201710389452.7A patent/CN107194092B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20120077192A (en) * | 2010-12-30 | 2012-07-10 | 쎄딕(주) | Method for automatic analysis of wind field by computational fluid dynamics |
| CN103699804A (en) * | 2013-12-31 | 2014-04-02 | 西安热工研究院有限公司 | Method for monitoring power output deviation in real time during running of wind turbines |
| CN105405164A (en) * | 2015-09-21 | 2016-03-16 | 河海大学 | Terrain reformation method of complex-terrain wind farm |
| CN105512413A (en) * | 2015-12-15 | 2016-04-20 | 北京市建筑设计研究院有限公司 | Modeling method applicable to numerical wind tunnel simulation of mountainous building |
| CN105911467A (en) * | 2016-04-21 | 2016-08-31 | 华电电力科学研究院 | Wind turbine generator set power curve examination and assessment method under complex terrain |
Non-Patent Citations (3)
| Title |
|---|
| 张宏杰 等: "垭口地貌要素对风速分布规律影响的风洞试验研究", 《实验流体力学》 * |
| 梁思超: "复杂地形风资源特性的数值模拟研究", 《中国博士学位论文全文数据库》 * |
| 王珺: "山区风特性参数与自锚式悬索桥的静风稳定性研究", 《中国优秀硕士学位论文全文数据库》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112163259A (en) * | 2020-09-27 | 2021-01-01 | 西南交通大学 | Method for determining equivalent wind speed ratio of wind profile of typical railway infrastructure |
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