CN110210057A - A kind of method and its system calculating wind load - Google Patents

A kind of method and its system calculating wind load Download PDF

Info

Publication number
CN110210057A
CN110210057A CN201910343018.4A CN201910343018A CN110210057A CN 110210057 A CN110210057 A CN 110210057A CN 201910343018 A CN201910343018 A CN 201910343018A CN 110210057 A CN110210057 A CN 110210057A
Authority
CN
China
Prior art keywords
wind
wind speed
speed
data
value
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201910343018.4A
Other languages
Chinese (zh)
Inventor
林德元
周刚
韩纪层
王飞
杨风利
韩军科
张宏杰
黄国
汪长智
洪毅成
蔡建宾
夏晓健
严康骅
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Electric Power Research Institute Co Ltd CEPRI
Electric Power Research Institute of State Grid Fujian Electric Power Co Ltd
Original Assignee
China Electric Power Research Institute Co Ltd CEPRI
Electric Power Research Institute of State Grid Fujian Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Electric Power Research Institute Co Ltd CEPRI, Electric Power Research Institute of State Grid Fujian Electric Power Co Ltd filed Critical China Electric Power Research Institute Co Ltd CEPRI
Priority to CN201910343018.4A priority Critical patent/CN110210057A/en
Publication of CN110210057A publication Critical patent/CN110210057A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/13Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Data Mining & Analysis (AREA)
  • Computer Hardware Design (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Evolutionary Computation (AREA)
  • Operations Research (AREA)
  • Algebra (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Evolutionary Biology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Architecture (AREA)
  • Civil Engineering (AREA)
  • Structural Engineering (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

A kind of method and its system calculating wind load, the wind speed type in the area is determined based on the air speed data in prediction of wind speed area;Maximum wind speed is determined based on the wind speed type and air speed data;The wind load at arbitrary height is calculated based on the Maximum wind speed;Prediction of extremum is carried out to different wind speed type, can accurately calculate different regions, different location, different height wind load, structure design can be allowed relatively reliable rationally, advise for the material and construction of structure, improve the service life of design.

Description

A kind of method and its system calculating wind load
Technical field
The present invention relates to Wind load calculatings and field of structural design, and in particular to it is a kind of calculate wind load method and its be System.
Background technique
In the 1930s, people are distributed to predict Maximum wind speed using symmetrical bell-shaped Gaussian, the method is based on parent The tail portion of distribution establishes the limit mode of maximum (or minimum) value probability distribution of given sample, with Fisher and Tippett The research of early stage has biggish difference.The discovery of three types the extreme value distribution rule has also greatly pushed common engineering probability The development of method.Jenkinson thinks that 3 kinds of the extreme value distributions that Fisher and Tippett are proposed can use unified generalized extreme value Distribution is to express.Gumbel is then highly recommended using relatively simple extremum I distributing and is carried out relevant analysis.
In the 1960s, some countries using extreme value analysis method come predictive designs wind speed, mainly using extreme value type I Distribution, return period concept also propose in this period.A.G.Davenport the 1960s using Probability Statistics Theory as Important contribution is made that on the basis of modern wind load.
20th century 70 to the eighties tropical cyclone of Australia's generation is obtained using Gumbel approximating method and Europe is sent out A series of raw high wind wind speed are far beyond fitting result, so that the content in terms of following two seems particularly important:
Generally there are the influences of sampling error for sample data in (1) 50 year.
(2) data classification is carried out according to different storm types.
There are certain differences for different local climate conditions, might have multiple storm phenomenon within the scope of 1 year and go out Existing, coastal area frequency of occurrence is likely more obviously.Therefore, only choosing maximum wind velocity is that the method that sample carries out extreme value analysis is deposited In biggish limitation.If increasing sample size using the period more shorter than year, this may violate extreme value analysis The independent statistics of kind data.For example, being that just not can guarantee within one day this important item of the statistical independence of extreme value sample with the period Part.Therefore it is designed that there are limitations using single wind speed.
The fluctuation range of wind load is big and occurrence frequency is high, and the broken activity of earthquake is stronger but its occurrence frequency is lower. All in all, the two is substantially suitable to the damage capability of works.Therefore, wind load is to cause to damage to works with seismic (seismal The big main environment load of bad two, it can be seen that the calculating of wind load has consequence in structure design.Wind load meter Can be regarded as structure design in important unit, how reasonably to determine design wind speed, how to be deposited according to Different climate condition, area Difference, accurately calculate wind load, and calculate at the different height of shaft tower itself, the wind load of position height, And different material and structure are used to works according to different wind loads, it is current problem to be solved.
Summary of the invention
In order to solve the limitation being designed in the prior art using single wind speed, the present invention considers different wind Fast condition, and the relationship of different wind friction velocity lower return periods and wind speed can be obtained, design wind speed determining in Wind load calculating is mentioned For reference, therefore the present invention provides a kind of methods and its system for calculating wind load.
Present invention provide the technical scheme that
A kind of method of Structure Calculation wind load, which comprises
The wind speed type in the area is determined based on the air speed data in prediction of wind speed area;
Maximum wind speed is determined based on the wind speed type and air speed data;
The wind load at arbitrary height is calculated based on the Maximum wind speed;
The wind speed type includes: weather wind and typhoon.
Preferably, the air speed data based on prediction of wind speed area determines wind speed type, comprising:
Obtain the air speed data in the prediction of wind speed area;
It is compared based on air speed data same day meteorological diagram corresponding with the air speed data;
The wind speed type of the air speed value is determined based on the comparing result.
It is preferably, described that wind load is calculated based on the Maximum wind speed, comprising:
Based on the Maximum wind speed and atmospheric density rated wind pressure;
The calculation formula that the wind pressure brings wind load into is obtained into wind load.
Preferably, the calculation formula of the wind load is as follows:
WK=β z × μ s × μ z × Wo
In formula, WK is wind load;β z is the wind pulse at height z;μ s is wind load system number;μ z is the change of wind pressure height Change coefficient;Wo is wind pressure.
It is preferably, described that Maximum wind speed is determined based on the wind speed type and air speed data, comprising:
The parameter of storm wind return period wind speed formula is set according to wind speed type, air speed data;
The wind speed during prediction is calculated based on the storm wind return period wind speed formula for setting parameter;
Maximum wind speed is selected from the wind speed calculated result.
It is preferably, described to select Maximum wind speed from the wind speed calculated result, comprising:
If there are a kind of wind speed in the prediction area, Maximum wind speed directly is selected from the wind speed calculated result;
If there are a variety of wind speed in the prediction area, every kind of wind speed accounting specific gravity is calculated based on air speed data, is based on institute It states specific gravity and determines wind speed type, using the corresponding wind speed calculated result of the wind speed type as Maximum wind speed.
Preferably, described that the parameter of storm wind return period wind speed formula is set according to wind speed type, air speed data, packet It includes:
Storm data are selected from air speed data, and are based on the storm data calculation of wind speed average value;
The scale factor and shape system numerical value of the predictor formula that storm reappears are determined based on the wind speed average value;
Wherein, the parameter of the storm wind return period wind speed formula: scale factor and form factor.
Preferably, described that storm data are selected from air speed data, and it is based on the storm data calculation of wind speed average value, Include:
Based on the wind speed type, minimum basic air speed value is set;
M basic air speed value is obtained based on the minimum basic air speed value and preset m-1 step-length;
Based on each basic air speed value, select the air speed data for being greater than the basic air speed value as institute from air speed data The corresponding storm data of basic air speed value are stated, and calculate the difference of each storm data and the basic wind speed, and then according to institute Some differences obtain the corresponding wind speed average value of the basic wind speed.
Preferably, the ratio that predictor formula that the storm that pre-establishes reappears is determined based on the wind speed average value because Son and shape system numerical value, comprising:
The m group wind speed average value determined based on m basic air speed value draws curve graph;
Slope value and values of intercept based on the curve graph calculated curve;
Expression formula based on the slope value and values of intercept and the content ratio factor and the expression formula containing form factor, Determine scale factor and shape system numerical value.
Preferably, the predictor formula that the storm reappears is as follows:
Vr=v0+a[1-(nr-b)]/b
In formula, VrFor the wind speed of time span of forecast r, r is in (1 ..., R) range;R is storm time span of forecast;B is shape system Number;A is scale factor;v0For minimum basic air speed value;N is the storm number based on minimum basic air speed value.
Preferably, the expression formula containing form factor is as follows:
In formula, b is form factor.
Preferably, the expression formula of the content ratio factor is as follows:
In formula, a is scale factor;B is form factor.
A kind of system that wind load is calculated based on Maximum wind speed, the system comprises:
Type block: for determining the wind speed type in the area based on the air speed data in prediction of wind speed area;
Determining module: for determining Maximum wind speed based on the wind speed type and air speed data;
Computing module: for calculating wind load based on the Maximum wind speed;
The wind speed type includes: weather wind and typhoon.
Preferably, the type block, comprising: acquiring unit, comparison unit and determination unit;
The acquiring unit, for obtaining the air speed data in the prediction of wind speed area;
The comparison unit, for being carried out based on air speed data same day meteorological diagram corresponding with the air speed data Comparison;
The determination unit, for determining the wind speed type of the air speed value based on the comparing result.
Compared with prior art, the invention has the benefit that
1, technical solution provided by the invention determines the wind speed class in the area based on the air speed data in prediction of wind speed area Type;Maximum wind speed is determined based on the wind speed type and air speed data;The wind at arbitrary height is calculated based on the Maximum wind speed Load;Prediction of extremum is carried out to different wind speed types, can accurately calculate different regions, different location, different height The wind load of degree can allow structure design relatively reliable rationally, advise for the material and construction of structure, improve the fortune of design The row service life.
2, technical solution provided by the invention, using the difference of different regions weather conditions as starting point, and can be reasonable The unified consideration of a variety of wind conditions can be realized to be suitable for different application environments to weather wind and typhoon well Unify the prediction under considering under the prediction of completion Maximum wind speed and weather wind and typhoon wind friction velocity under wind conditions.
Detailed description of the invention
Fig. 1 is that the present invention calculates wind load method structural schematic diagram;
Fig. 2 is wind speed and return period curve of the invention.
Specific embodiment
For a better understanding of the present invention, the contents of the present invention are done further with example with reference to the accompanying drawings of the specification Explanation.
Embodiment 1:
There are certain differences for different local climate conditions, might have multiple storm phenomenon within the scope of 1 year and go out Existing, coastal area frequency of occurrence is likely more obviously.Therefore, only choosing maximum wind velocity is that the method that sample carries out extreme value analysis is deposited In biggish limitation.If increasing sample size using the period more shorter than year, this may violate extreme value analysis The independent statistics of kind data.For example, being that just not can guarantee within one day this important item of the statistical independence of extreme value sample with the period Part." surmounting value method " is a kind of method only with data relevant to prediction of extremum.It uses all wind speed both be from Relatively independent storm, and it is above a specific minimum critical wind speed v0, this wind speed may have in 1 year it is multiple, Possible one does not all have.This method provides a kind of new thinking to solve above-mentioned limitation.It can by surmounting value method In view of different wind friction velocities, and the relationship of different wind friction velocity lower return periods and wind speed can be obtained.To in Wind load calculating Determine that design wind speed provides reference.
Wind load is that air is flowed to pressure caused by engineering structure, size and wind speed it is square directly proportional.
As shown in Figure 1, steps are as follows:
Step 1: the wind speed type in the area is determined based on the air speed data in prediction of wind speed area;
Step 2: Maximum wind speed is determined based on the wind speed type and air speed data;
Step 3: the wind load at arbitrary height is calculated based on the Maximum wind speed;
It is embodied as follows:
Step 1: the wind speed type in the area is determined based on the air speed data in prediction of wind speed area;
Data screening.According to the air speed data in database, and separates name and save.
Data source classification.The value of above-mentioned statistics and the data of same day meteorological diagram are checked, confirm the air speed value It is generated by typhoon or weather wind, and by two kinds of wind speed type cases Classifying Sums.
Integrate multistation point data.Their unifications are arranged make good wind and typhoon two by the data of sorting-out in statistics website respectively Class.
Wind speed amendment.For the influence for excluding other disturbing factors, the modifying factor of each website is obtained by wind tunnel test, it will Weather wind data is corrected to the wind speed of open field at 10m.
Step 2: Maximum wind speed is determined based on the wind speed type and air speed data;
Wind speed basic value is set.According to the wind conditions and design requirement of this area, wind speed several different is set It is worth based on value, it is denoted as v respectively0, v1, v2Deng.
Determine minimum windspeed v0With minimum storm frequency n.Referring to design experiences, a minimum windspeed v is set0It is every Year surmounts value, and this value is compared with all values, obtains minimum storm frequency n.
Calculation of wind speed deviation and overgauge mean value.By the basic value v of the wind speed under different storms and setting0Carry out wind speed Difference calculates (V-v0), it selects positive wind speed deviation and calculates average value.
It repeats the above steps.By basic value v0Successively it is substituted for v1, v2Deng, calculate corresponding storm number λ, difference and Positive mean value.
Draw line chart.According to it is being calculated above as a result, between drawing basics value and average degree of transcendence relationship song Line chart.
Determine scale factor a and form factor b.Pass through following formula:
Return period is the wind speed V of RRAre as follows:
VR=v0+a[1-(nR)-b]/b (1-2)
In formula (1-2), form factor b is usually positive value (0.1 or so).When R is gradually increased to very big, VRIt is upper Limit then gradually levels off to v0+(a/b)。
When b=0, substituting into formula (1-2) can be obtained:
VR=v0+aln(nR) (1-3)
According to above-mentioned formula, relatively independent storm can be calculated and be judged, but be not difficult to find out in formula, (1-2) and (1-3) has certain similitude.In order to guarantee the accuracy calculated, when maximum critical wind velocity is arranged, should at least protect It demonstrate,proves 10 times and the above wind speed is greater than maximum critical wind velocity.According to above-mentioned the characteristics of surmounting value method, in addition to can satisfy traditional pole The reproduction of value wind speed is gone except being predicted, additionally it is possible to according to the prediction for carrying out mixing wind the characteristics of the wind speed of different regions, according to this Which kind of Maximum wind speed is method can use as design wind speed, between different regions according to regional wind speed accounting specific gravity to determine The design of optimization and the rationalization of structure provides new thinking.
In the prediction for Maximum wind speed, mutually independent data are all made of during prediction.It is accurate for prediction Property, the wind speed used is both needed to wind speed at the beginning of amendment goes out open field to 10m.Using the present invention, can accurately predict not With the Maximum wind speed under wind friction velocity.
The wind conditions that different areas is faced also have larger difference, when carrying out structure design, only consider a certain leading The wind speed of effect is possible to will cause some problems.Using the present invention, on the one hand single Maximum wind speed can be carried out accurate On the other hand prediction can also comprehensively consider the different wind friction velocities faced, provide for structure design and more fully refer to.
According to the design requirement of different regions, the present invention provides one more comprehensively for the calculating of structure designed wind load Its Extreme Value Wind Prediction method.Can be according to the wind speed feature of different regions, choosing single mainly wind speed, can also as design wind speed Multiple wind speed are comprehensively considered as design wind speed.
Step 3: the wind load at arbitrary height is calculated based on the Maximum wind speed;
It is described that wind load is calculated based on the Maximum wind speed, comprising:
Based on the Maximum wind speed and atmospheric density rated wind pressure;
The calculation formula that the wind pressure brings wind load into is obtained into wind load.
The calculation formula of the wind load is as follows:
WK=β z × μ s × μ z × Wo
In formula, WK is wind load;β z is the wind pulse at height z;μ s is wind load system number;μ z is the change of wind pressure height Change coefficient;Wo is wind pressure.It for a wide range of design of wind speed environments complexity, can use the contents of the present invention, carry out same wind speed Under the conditions of carry out gradient distribution, Scoped design being capable of more effectively save the cost.Such as southeastern coast somewhere, mainly occur For weather wind and typhoon.Large area can be involved using the exhibition of typhoon forecast Maximum wind speed in coastal typhoon according to the demand of design Open up meter;And mixing wind speed completion wind load calculating can be used involving smaller part then according to typhoon;It is more from far-off regions then can be with Weather wind Maximum wind speed is foundation.
Embodiment 2:
The Data Summary of each website in the coastal area table 1-1
According to the introduction and mentality of designing of the above method, the simulation application of this method is carried out to Chinse Coastal Area.China Coastal area belongs to the maritime monsoon climate in typical subtropical zone close to the tropic of cancer.Its climatic characteristic be temperature it is higher and Dry, no severe cold, the summer lacks heat, and Water Resources are abundant.Due to the influence of locating geographical environment and weather, the ground disaster day Gas is frequent, and the disasters caused by a windstorm such as typhoon also occur often.In Area In The Coast of Southeast China, maximum wind velocity generally occurs in weather wind and platform Wind passes through under two ways.Since nineteen fifty, daily in 4 of Area In The Coast of Southeast China different website separate records Fitful wind size is denoted as website 1,2,3,4 respectively.The airspeedometer of this four websites is all positioned in the lesser open field of interference, solely Vertical work.It is shown by data for many years, wind speed is very low (average greater than the ratio that each website of the typhoon of 21m/s occurs It is about 1 time annual), it is shown in Table 1-1, this data illustrates that the appearance of typhoon can not necessarily bring extreme value fitful wind.Table 1-2 is for southeastern coast The maximum wind velocity of area's record, the accounting example generally left and right generated by typhoon.
The maximum wind velocity of table 1-2 coastal area of southeastern China somewhere 1950-1999 record
Date Website Wind speed (m/s) Type
January 18 nineteen eighty-three 4 43.2 Weather wind
On December 20th, 1974 2 41.7 Typhoon
Nineteen fifty-three September 9 days 1 40.1 Weather wind
On November 26th, 1988 3 39.6 Typhoon
On January 13rd, 1984 3 38.1 Typhoon
On October 25th, 1978 4 37.0 Typhoon
On July 4th, 1961 1 36.5 Weather wind
On March 27th, 1976 4 36.0 Typhoon
On November 19th, 1989 3 36.0 Typhoon
July 8 nineteen fifty-two 1 35.0 Weather wind
On August 12nd, 1958 4 35.0 Weather wind
On January 28th, 1987 4 35.0 Typhoon
On August 10th, 1994 3 35.0 Weather wind
Carry out the extreme value analysis of data below, main shown in steps are as follows:
(1) data screening.According to the air speed data in database, air speed value of the statistical data greater than 21m/s is simultaneously separated Name saves.
(2) data source is classified.The value of above-mentioned statistics and the data of same day meteorological diagram are checked, confirm the wind speed Value is generated by typhoon or weather wind, and by two kinds of wind speed type cases Classifying Sums.
(3) multistation point data is integrated.They are uniformly organized by sorting-out in statistics a, b, c, the data of tetra- websites of d respectively Two class of weather wind and typhoon.
(4) wind speed is corrected.For the influence for excluding other disturbing factors, the modifying factor of each website is obtained by wind tunnel test Son corrects weather wind data to the wind speed of open field at 10m.
(5) data are analyzed.According to summarizing acquired results.It analyzes " surmounting value ", return period two types wind speed can be obtained Between relationship.
(6) formula (1-2) is determined:
VR=v0+a[1-(nR)-b]/b (1-3)
Wherein a --- scale factor;
B --- form parameter;
v0--- basic value, southeastern coast somewhere this select wind speed for 21m/s;
N --- annual wind speed is more than v after integrating the data of weather wind and typhoon0Fitful wind proportion mean value.
The data analysis result of the two kinds of wind in southeastern coast somewhere is as follows:
For weather wind, n takes 23.4, obtains
For typhoon, n takes 0.97, obtains
A certain Maximum wind speed is given, then it is R that the return period can be obtained according to formula1And R2Different wind regime combination under weight Current Rc, it is as follows:
It can be set up when the Maximum wind speed of (1-6) based on two kinds of different wind regime is mutually indepedent in formula.
According to formula (1-6), formula (1-4) and (1-5) are substituted into the joint that can be obtained two kinds of wind and surmount a certain given wind speed Probability, as a result as follows:
In conjunction with the above content analyzed and calculate, by formula (1-5), (1-6) and (1-7) is drawn in Fig. 2.As shown in Figure 2, Weather wind intersected at substantially 30 years return periods with typhoon;It mixes curve early period wind speed return period and weather wind is close, but it is poor Away from gradually widening, in long return period section gradually close to typhoon, last difference very little.
Embodiment 3:
Based on same inventive concept, the present invention also provides a kind of systems for calculating wind load, which is characterized in that described System includes:
Type block: for determining the wind speed type in the area based on the air speed data in prediction of wind speed area;
Determining module: for determining Maximum wind speed based on the wind speed type and air speed data;
Computing module: for calculating the wind load at arbitrary height based on the Maximum wind speed;
The wind speed type includes: weather wind and typhoon.
The type block, comprising: acquiring unit, comparison unit and determination unit;
The acquiring unit, for obtaining the air speed data in the prediction of wind speed area;
The comparison unit, for being carried out based on air speed data same day meteorological diagram corresponding with the air speed data Comparison;
The determination unit, for determining the wind speed type of the air speed value based on the comparing result.
Obviously, described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on the present invention In embodiment, all other implementation obtained by those of ordinary skill in the art without making creative efforts Example, shall fall within the protection scope of the present invention.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the application, which can be used in one or more, The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces The form of product.
The application is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present application Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates, Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one The step of function of being specified in a box or multiple boxes.
The above is only the embodiment of the present invention, are not intended to restrict the invention, all in the spirit and principles in the present invention Within, any modification, equivalent substitution, improvement and etc. done, be all contained in apply pending scope of the presently claimed invention it It is interior.

Claims (14)

1. a kind of method for calculating wind load, which is characterized in that the described method includes:
The wind speed type in the area is determined based on the air speed data in prediction of wind speed area;
Maximum wind speed is determined based on the wind speed type and air speed data;
The wind load at arbitrary height is calculated based on the Maximum wind speed;
The wind speed type includes: weather wind and typhoon.
2. the method as described in claim 1, which is characterized in that the air speed data based on prediction of wind speed area determines wind speed Type, comprising:
Obtain the air speed data in the prediction of wind speed area;
It is compared based on air speed data same day meteorological diagram corresponding with the air speed data;
The wind speed type of the air speed value is determined based on the comparing result.
3. the method as described in claim 1, which is characterized in that described to calculate wind load based on the Maximum wind speed, comprising:
Based on the Maximum wind speed and atmospheric density rated wind pressure;
The calculation formula that the wind pressure brings wind load into is obtained into wind load.
4. method as claimed in claim 3, which is characterized in that the calculation formula of the wind load is as follows:
WK=β z × μ s × μ z × Wo
In formula, WK is wind load;β z is the wind pulse at height z;μ s is wind load system number;μ z is wind pressure height change system Number;Wo is wind pressure.
5. the method as described in claim 1, which is characterized in that described to determine extreme value based on the wind speed type and air speed data Wind speed, comprising:
The parameter of storm wind return period wind speed formula is set according to wind speed type, air speed data;
The wind speed during prediction is calculated based on the storm wind return period wind speed formula for setting parameter;
Maximum wind speed is selected from the wind speed calculated result.
6. method as claimed in claim 5, which is characterized in that it is described to select Maximum wind speed from the wind speed calculated result, Include:
If there are a kind of wind speed in the prediction area, Maximum wind speed directly is selected from the wind speed calculated result;
If there are a variety of wind speed in the prediction area, every kind of wind speed accounting specific gravity is calculated based on air speed data, is based on the ratio Wind speed type is determined again, using the corresponding wind speed calculated result of the wind speed type as Maximum wind speed.
7. method as claimed in claim 5, which is characterized in that it is described according to wind speed type, air speed data to the storm wind return period The parameter of wind speed formula is set, comprising:
Storm data are selected from air speed data, and are based on the storm data calculation of wind speed average value;
The scale factor and shape system numerical value of the predictor formula that storm reappears are determined based on the wind speed average value;
Wherein, the parameter of the storm wind return period wind speed formula are as follows: scale factor and form factor.
8. the method for claim 7, which is characterized in that it is described that storm data are selected from air speed data, and it is based on institute State storm data calculation of wind speed average value, comprising:
Based on the wind speed type, minimum basic air speed value is set;
M basic air speed value is obtained based on the minimum basic air speed value and preset m-1 step-length;
Based on each basic air speed value, select the air speed data for being greater than the basic air speed value as the base from air speed data The corresponding storm data of plinth air speed value, and the difference of each storm data and the basic wind speed is calculated, and then according to all Difference obtains the corresponding wind speed average value of the basic wind speed.
9. method according to claim 8, which is characterized in that described to determine the wind pre-established based on the wind speed average value The scale factor and shape system numerical value of the predictor formula reappeared cruelly, comprising:
The m group wind speed average value determined based on m basic air speed value draws curve graph;
Slope value and values of intercept based on the curve graph calculated curve;
Expression formula based on the slope value and values of intercept and the content ratio factor and the expression formula containing form factor determine Scale factor and shape system numerical value.
10. method as claimed in claim 9, which is characterized in that the predictor formula that the storm reappears is as follows:
Vr=v0+a[1-(nr-b)]/b
In formula, VrFor the wind speed of time span of forecast r, r is in (1 ..., R) range;R is storm time span of forecast;B is form factor;A is Scale factor;v0For minimum basic air speed value;N is the storm number based on minimum basic air speed value.
11. method as claimed in claim 10, which is characterized in that the expression formula containing form factor is as follows:
In formula, b is form factor.
12. method as claimed in claim 11, which is characterized in that the expression formula of the content ratio factor is as follows:
In formula, a is scale factor;B is form factor.
13. a kind of system for calculating wind load based on Maximum wind speed, which is characterized in that the system comprises:
Type block: for determining the wind speed type in the area based on the air speed data in prediction of wind speed area;
Determining module: for determining Maximum wind speed based on the wind speed type and air speed data;
Computing module: for calculating wind load based on the Maximum wind speed;
The wind speed type includes: weather wind and typhoon.
14. system as claimed in claim 13, which is characterized in that the type block, comprising: acquiring unit, comparison unit And determination unit;
The acquiring unit, for obtaining the air speed data in the prediction of wind speed area;
The comparison unit, for being carried out pair based on air speed data same day meteorological diagram corresponding with the air speed data Than;
The determination unit, for determining the wind speed type of the air speed value based on the comparing result.
CN201910343018.4A 2019-04-26 2019-04-26 A kind of method and its system calculating wind load Pending CN110210057A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910343018.4A CN110210057A (en) 2019-04-26 2019-04-26 A kind of method and its system calculating wind load

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910343018.4A CN110210057A (en) 2019-04-26 2019-04-26 A kind of method and its system calculating wind load

Publications (1)

Publication Number Publication Date
CN110210057A true CN110210057A (en) 2019-09-06

Family

ID=67786539

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910343018.4A Pending CN110210057A (en) 2019-04-26 2019-04-26 A kind of method and its system calculating wind load

Country Status (1)

Country Link
CN (1) CN110210057A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111882456A (en) * 2020-07-31 2020-11-03 武汉理工大学 Overhead distribution line risk assessment method based on load effect randomness
CN111966955A (en) * 2020-08-20 2020-11-20 东南大学 Method for calculating wind load aiming at intelligent pole

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111882456A (en) * 2020-07-31 2020-11-03 武汉理工大学 Overhead distribution line risk assessment method based on load effect randomness
CN111966955A (en) * 2020-08-20 2020-11-20 东南大学 Method for calculating wind load aiming at intelligent pole

Similar Documents

Publication Publication Date Title
Tudurí et al. The environments of significant convective events in the western Mediterranean
Landsea Climate variability of tropical cyclones: past, present and future
Yonetani et al. Simulated changes in the frequency of extremes and regional features of seasonal/annual temperature and precipitation when atmospheric CO2 is doubled
CN104182594A (en) Method for drawing power system wind area graph
CN110210057A (en) A kind of method and its system calculating wind load
Harris et al. Gust factors: Meteorologically stratified climatology, data artifacts, and utility in forecasting peak gusts
CN109740195A (en) A kind of appraisal procedure of extreme value typhoon wind velocity distributing paremeter model and design typhoon wind speed based on weather station observation data
Wong et al. Estimation of aerosol sources and aerosol transport pathways using AERONET clustering and backward trajectories: a case study of Hong Kong
He et al. Impact of parameterized physical processes on simulated tropical cyclone characteristics in the community atmosphere model
KR20160022421A (en) Hybrid seasonal prediction of the Western North Pacific Tropical Cyclone Activity
Dai et al. The outflow–rainband relationship induced by environmental flow around tropical cyclones
Jia et al. Introducing TC intensity into the DSAEF_LTP model and simulating precipitation of super‐typhoon Lekima (2019)
Mendes et al. Air quality forecast by statistical methods: application to Portugal and Macao
Liu et al. Variations in the power dissipation index in the East Asia region
Gramcianinov et al. Impact of extratropical cyclone intensity and speed on the extreme wave trends in the Atlantic Ocean
CN110222865A (en) A kind of prediction technique and its system of Maximum wind speed
CN111427101B (en) Thunderstorm strong wind grading early warning method, system and storage medium
Miller et al. A preliminary assessment of using spatiotemporal lightning patterns for a binary classification of thunderstorm mode
Frederiksen et al. The influence of the Indian Ocean/Indonesian SST gradient on the Australian winter rainfall and circulation in an atmospheric GCM
Béguin et al. Tropopause level Rossby wave breaking in the Northern Hemisphere: A feature-based validation of the ECHAM5-HAM climate model
Chen et al. Extreme snow events along the coast of the northeast United States: Analysis of observations and HiRAM simulations
Shirai et al. Relative contribution of transport/surface flux to the seasonal vertical synoptic CO2 variability in the troposphere over Narita
Yu et al. Interannual variability of the summer wind energy over China: A comparison of multiple datasets
Yun-qi et al. Experiments with the improved dynamical-statistical-analog ensemble forecast model for landfalling typhoon precipitation over South China
Liao et al. Observational study on the characteristics of the boundary layer during changes in the intensity of tropical cyclones landing in Guangdong, China

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
CB03 Change of inventor or designer information
CB03 Change of inventor or designer information

Inventor after: Lin Deyuan

Inventor after: Hong Yicheng

Inventor after: Cai Jianbin

Inventor after: Xia Xiaojian

Inventor after: Yan Kanghua

Inventor after: Zhou Gang

Inventor after: Han Jiceng

Inventor after: Wang Fei

Inventor after: Yang Fengli

Inventor after: Han Junke

Inventor after: Zhang Hongjie

Inventor after: Huang Guo

Inventor after: Wang Changzhi

Inventor before: Lin Deyuan

Inventor before: Hong Yicheng

Inventor before: Cai Jianbin

Inventor before: Xia Xiaojian

Inventor before: Yan Kanghua

Inventor before: Zhou Gang

Inventor before: Han Jiceng

Inventor before: Wang Fei

Inventor before: Yang Fengli

Inventor before: Han Junke

Inventor before: Zhang Hongjie

Inventor before: Huang Guo

Inventor before: Wang Changzhi

SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination