KR20140064660A - Apparatus and method for calculating wind load - Google Patents

Apparatus and method for calculating wind load Download PDF

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KR20140064660A
KR20140064660A KR1020130140102A KR20130140102A KR20140064660A KR 20140064660 A KR20140064660 A KR 20140064660A KR 1020130140102 A KR1020130140102 A KR 1020130140102A KR 20130140102 A KR20130140102 A KR 20130140102A KR 20140064660 A KR20140064660 A KR 20140064660A
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height
calculating
points
point
building
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KR1020130140102A
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최세휴
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경북대학교 산학협력단
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Priority to PCT/KR2013/010499 priority Critical patent/WO2014081171A1/en
Priority to US14/124,329 priority patent/US9864099B2/en
Publication of KR20140064660A publication Critical patent/KR20140064660A/en

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Abstract

The present invention relates to a wind load calculation apparatus and method. A wind load calculation apparatus according to an embodiment of the present invention includes a height information collection unit for collecting height information of a plurality of points in a region; A frequency distribution calculating unit for calculating a frequency distribution of the height of the plurality of points; And a parameter calculation unit for assigning the surface roughness to the rank of the frequency distribution and applying a weight based on the frequency distribution to the parameter set for each of the surface roughnesses to calculate the wind load, can do.

Figure P1020130140102

Description

[0001] APPARATUS AND METHOD FOR CALCULATING WIND LOAD [0002]

The present invention relates to a wind load calculation apparatus and method.

Wind design is one of the items to consider in structural design. Wind characteristics such as wind velocity or wind direction are influenced by the surrounding terrain. If the wind velocity is accelerated by the surrounding terrain, it can have a great influence on the safety of the structure. To account for the loads the wind exerts on the structure, the wind load at the design of the structure is calculated.

In calculating the wind load, the parameters used in the calculation of the wind load are determined according to the surface roughness, which represents the surface roughness. Conventionally, such surface roughness has been determined according to the subjective judgment of the designer, and there has been a problem that the parameters can not be objectively and reasonably estimated.

An object of the present invention is to provide a device and method for calculating a wind load capable of calculating an appropriate wind load by more objectively and rationally calculating a parameter used for calculating a wind load.

A wind load calculation apparatus according to an embodiment of the present invention includes a height information collection unit for collecting height information of a plurality of points in a region; A frequency distribution calculating unit for calculating a frequency distribution of the height of the plurality of points; And a parameter calculation unit for assigning the surface roughness to the rank of the frequency distribution and applying a weight based on the frequency distribution to the parameter set for each of the surface roughnesses to calculate the wind load, can do.

A method for calculating a wind load according to an embodiment of the present invention includes: collecting height information of a plurality of points in a region; Calculating a frequency distribution of the height of the plurality of points; Assigning the surface roughness to the rank of the frequency distribution; And calculating a parameter of the area by applying a weight based on the frequency distribution to a parameter set for each of the surface roughnesses so as to calculate a wind load.

The wind load calculation method according to an embodiment of the present invention may be implemented as a computer-executable program and recorded on a computer-readable recording medium.

According to the embodiment of the present invention, it is possible to prevent the parameters used for the wind load calculation from being improperly determined by the ground surface roughness judged by the designer.

According to an embodiment of the present invention, the parameter and the corresponding wind load can be objectively and reasonably calculated based on objective information of a region considered in calculating the wind load.

1 is a block diagram showing a wind load calculation apparatus according to an embodiment of the present invention.
FIGS. 2 and 3 are exemplary views showing a plurality of points in an area for collecting area and height information to be considered in calculating a wind load according to an embodiment of the present invention.
4 is an exemplary diagram illustrating a process of calculating height information of a plurality of points in an area according to an embodiment of the present invention.
5 is a frequency distribution diagram illustrating a frequency distribution of heights of a plurality of points in a region calculated according to an exemplary embodiment of the present invention.
FIG. 6 is a table exemplarily showing parameters set for each surface roughness according to an embodiment of the present invention.
7 is a flowchart illustrating a method for calculating a wind load according to an embodiment of the present invention.

Other advantages and features of the present invention and methods of achieving them will become apparent with reference to the embodiments described below in detail with reference to the accompanying drawings. The present invention may, however, be embodied in many different forms and should not be construed as being limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the invention to those skilled in the art. Is provided to fully convey the scope of the invention to those skilled in the art, and the invention is only defined by the scope of the claims.

Unless defined otherwise, all terms (including technical or scientific terms) used herein have the same meaning as commonly accepted by the generic art in the prior art to which this invention belongs. Terms defined by generic dictionaries may be interpreted to have the same meaning as in the related art and / or in the text of this application, and may be conceptualized or overly formalized, even if not expressly defined herein I will not.

The terminology used herein is for the purpose of illustrating embodiments and is not intended to be limiting of the present invention. In the present specification, the singular form includes plural forms unless otherwise specified in the specification. As used herein, the terms' comprise 'and / or various forms of use of the verb include, for example,' including, '' including, '' including, '' including, Steps, operations, and / or elements do not preclude the presence or addition of one or more other compositions, components, components, steps, operations, and / or components. The term 'and / or' as used herein refers to each of the listed configurations or various combinations thereof.

It should be noted that the terms such as '~', '~ period', '~ block', 'module', etc. used in the entire specification may mean a unit for processing at least one function or operation. For example, a hardware component, such as a software, FPGA, or ASIC. However, '~ part', '~ period', '~ block', '~ module' are not meant to be limited to software or hardware. Modules may be configured to be addressable storage media and may be configured to play one or more processors. ≪ RTI ID = 0.0 >

Thus, by way of example, the terms 'to', 'to', 'to block', 'to module' refer to components such as software components, object oriented software components, class components and task components Microcode, circuitry, data, databases, data structures, tables, arrays, and the like, as well as components, Variables. The functions provided in the components and in the sections ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ' , '~', '~', '~', '~', And '~' modules with additional components.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings attached hereto.

As used herein, the term "structure" is intended to encompass a building, a workpiece, a building, a window, an outdoor advertisement, a bridge, etc. and means all objects placed in space and subjected to wind loads.

When designing the structure, calculate the design wind speed to calculate the wind load by wind. On the other hand, the design wind speed proposed in KBC 2009 can be calculated by the following equation:

Figure pat00001

As a parameter used to calculate the above equation design velocity, V 0 is the local base velocity, K zr is the coefficient of wind velocity height distribution, K zt is the importance factor of the terrain coefficient, I w is a structure for consideration younghyangreul terrain to be.

Considering the ground surface roughness at the point where the structure is located and the corresponding height of the atmospheric boundary layer starting point (Z b ), the reference height of the stony wind (Z g ) and the wind speed altitude distribution index (α), the wind speed altitude distribution coefficient (K zr ) Lt; / RTI >

Figure pat00002

In addition, the atmospheric boundary layer starting height (Z b ), the reference hard wind height (Z g ) and the wind speed altitude distribution index (α) are determined as shown in Table 2 according to the surface roughness.

Figure pat00003

The surface roughness proposed in KBC 2009 is classified as shown in Table 3 according to the surface condition of the surrounding area at the location where the structure is located.

Figure pat00004

The geomorphic coefficient (K zt ) is a factor that takes account of the wind speed addition by the topography, and is set to 1.0 in areas that do not affect the wind like flat land. However, in areas where a wind velocity premium is required, such as mountains, hills, and slopes, the terrain factor can be calculated by the following equation:

Figure pat00005

Figure pat00006

The basic wind speed (V 0 ) is the local wind velocity applied to the design wind speed as a default, and is the wind speed corresponding to the 100-year repetition period of the average wind speed for 10 minutes at the ground surface height of 10 m at the ground surface roughness C. The basic wind speed is calculated as follows according to the area where the structure is located. However, if the structure is located between the equi-velocity lines, the values between the equi-velocity lines can be interpolated.

Figure pat00007

The importance coefficient (I w ) is a coefficient indicating the safety factor according to the years of use of the structure, and is calculated as follows considering the importance of the structure:

Figure pat00008

The apparatus and method for calculating a wind load according to an embodiment of the present invention can calculate the frequency distribution by collecting height information of a plurality of points in a region to be considered in calculating a wind load. Then, a parameter for the area can be calculated by applying a weight to a parameter set for each surface roughness based on the frequency distribution. Then, the wind load for the area can be calculated using the calculated parameters.

1 is a block diagram showing a wind load calculation apparatus according to an embodiment of the present invention.

1, the wind load calculating apparatus 100 may include a height information collecting unit 11, a frequency distribution calculating unit 12, and a parameter calculating unit 13.

The height information collecting unit 11 can collect height information of a plurality of points in the area. Here, the region is a region to be considered when calculating the wind load, and may be a region located in the periphery of the structure. According to one embodiment, the region may be a region that falls within a range of 40 times the reference height H of the structure and within 3 km, of the region of 45 degrees with respect to the windward side of the structure.

Figures 2 and 3 are exemplary diagrams illustrating areas considered for wind load estimation and a plurality of points where height information is collected within the area in accordance with an embodiment of the present invention. As shown in FIGS. 2 and 3, the region 20 may have a sector shape that is divided into two halves by an air side line around the structure 21, but the shape and size of the region may be arbitrary Or the like. For example, the area may be a polygonal area including a triangle.

The center angle &thetas; of the sector may be 45 DEG, but may be smaller or larger depending on the embodiment. The radius d of the sector may have a smaller value of 40 times the reference height H of the structure 21 and 3 km.

The height information collecting unit 11 may collect height information of a plurality of points (points indicated by x in FIG. 2 and FIG. 3) in the area 20. FIG. As shown in FIG. 2, according to an embodiment of the present invention, the plurality of points may be uniformly distributed in the region 20. In FIG. However, as shown in FIG. 3, according to another embodiment of the present invention, the plurality of points may be non-uniformly distributed in the region 20.

According to an embodiment of the present invention, the height information collecting unit 11 may collect height information of the plurality of points from an electronic map including information on the area 20.

According to one embodiment, the data relating to the digital map may be stored in a storage unit included in the wind load calculation apparatus 100. In this case, the height information collecting unit 11 may collect height information of a plurality of points in the area 20 by retrieving data related to the digital map from the storage unit.

According to another embodiment, the data relating to the digital map may be stored in a server or an external storage device connected to the wind load calculation device via a network or the like. In this case, the height information collecting unit 11 retrieves the data related to the digital map from the server or the external storage device through the network or the data interface, and stores height information of a plurality of points in the area 20 Can be collected.

According to an embodiment of the present invention, the height information collection unit 11 may use at least one of a ground survey, a GPS survey, an aerial photogrammetry, a radar survey and a LiDAR survey, The height information of the plurality of points can be collected from the measured data.

According to an embodiment of the present invention, a plurality of points in the area 20 may correspond to a building located in the area. According to one embodiment, a plurality of points in the area 20 may correspond one-to-one to the in-area building. The height information collecting unit 11 may calculate the height of the building as the height information of the point when one point in the area 20 is located in the building.

According to another embodiment, some of the plurality of points in the area 20 may correspond to a ground or a surface where the building is not located. The height information collecting unit 11 can calculate the height of the point to be 0 when one point in the area 20 is located on the ground or the water surface.

According to an embodiment of the present invention, the height information collection unit 11 may extract buildings, elevation points, and reference points from an electronic map of the area. Then, a node corresponding to the generated node and the elevation point and the reference point located on the ground can be created by extracting the node from the center or outline of the building from the extracted building. The height of the point located in the building can be calculated by calculating the height of the building as the height information of the corresponding point and the height information of the point located on the ground or the water surface as 0.

According to an embodiment of the present invention, the height information collecting unit 11 may calculate the height of the building by multiplying the ground floor number of the building by a predetermined height. The height multiplied by the number of ground layers of the building may be 3 meters, but is not limited thereto and may be set higher or lower than 3 meters.

According to one embodiment of the present invention, the height information collecting unit 11 collects information using at least one of a ground survey, a GPS survey, an aerial photogrammetry, a radar survey and a LiDAR survey for the area One-to-one correspondence is made to the extracted building and ground data. The height of the point located in the building is calculated as the height of the building, and the point located on the ground Can be calculated as zero.

For example, referring to FIG. 4, when a building is located at a point 1 among a plurality of points in the area 20, the height information collecting unit 11 may collect the ground layer number information of the building. In Fig. 4, the number of the ground floor of the building located at point 1 is four. The height information collecting unit 11 may calculate the height information of the corresponding point by multiplying the ground layer number of the building by a preset height (for example, 3 meters). In this case, the height of point 1 in Fig. 4 can be calculated as 12 meters. Likewise, the height of point 2 can be calculated as 18 meters, and the height of point 3 as 0.

The frequency distribution calculating unit 12 may calculate a frequency distribution of the height of the plurality of points. For example, the frequency distribution calculating unit 12 may divide the heights of the plurality of points into a plurality of classes, and then calculate the frequency distribution of the points belonging to each class to compute the frequency distribution.

According to one embodiment, the number of classes may correspond to the number of classes of surface roughness. For example, if the ground surface roughness is classified into four classes, the frequency distribution calculating unit 12 can calculate the frequency distribution of the four points of the height of the plurality of points.

5 is an example of a frequency distribution diagram showing a frequency distribution of heights of a plurality of points calculated according to an embodiment of the present invention. As shown in FIG. 5, the height information of a plurality of points collected from the area 20 can be divided into four classes, and the illustrated frequency distribution diagram shows the frequency of points belonging to each class on the vertical axis.

The parameter calculating section (13) can assign the surface roughness to the rank of the frequency distribution. According to one embodiment, the parameter calculator 13 may assign the surface roughness according to the size of the class.

For example, referring to FIG. 5, the parameter calculation unit 13 assigns the surface roughness A having the largest roughness to the rank 4 having the largest height, and then assigns the roughest surface roughness A to the rank 3, the second roughest surface roughness B is assigned, then the second highest surface roughness class C 2 is assigned to the roughest surface roughness C, and the lowest height class 1 The surface roughness D with the lowest roughness can be assigned. In this embodiment, the height information of the point is divided into four classes, but it may be classified into two classes, three classes, or more classes according to the embodiment.

The parameter calculating unit 13 may calculate a parameter of the area 20 by applying a weight based on the frequency distribution to a parameter set for each surface roughness. According to an embodiment of the present invention, the parameter may be a parameter whose value is set differently for each surface roughness among the parameters used for calculating the wind load. For example, the parameter is wind speed high distribution coefficient (K zr), branched coefficient (K zt), turbulence intensity (I z), wind speed height distribution index (α), based on gyeongdopung height (Z g) and the atmospheric boundary layer starts height (Zb). & Lt ; / RTI >

According to one embodiment, the parameter calculating unit 13 calculates the relative degrees of each rank constituting the frequency distribution, and adds the values calculated by multiplying the values of the parameters set for each of the surface roughnesses by the relative degrees , The parameter value for the area can be calculated.

6 is a diagram exemplarily showing values of parameters set for each surface roughness according to an embodiment of the present invention.

6, the wind speed high distribution coefficient (K zr), branched coefficient (K zt), turbulence intensity (I z), wind speed height distribution index (α), based on gyeongdopung height (Z g) and starting Boundary Layer The height Z b may be set to a different value for each surface roughness.

In order to obtain a parameter value for the region 20, the parameter calculating unit 13 first calculates the relative frequency of each rank of the frequency distribution. For example, referring to the frequency distribution diagram shown in Fig. 5, the parameter calculation unit 13 can calculate the relative frequency of each class as follows:

Rank 1: Relative frequency 1 = 7/30? 0.23

Rank 2: Relative frequency 2 = 9/30 = 0.3

Rank 3: Relative frequency 3 = 10/30? 0.33

Rank 4: Relative frequency 4 = 4/30 ≒ 0. 13

Then, the parameter calculating unit 13 can calculate the parameter value of the area 20 by multiplying the value of the parameter set for each of the surface roughnesses by the relative degree and adding the obtained values. For example, area 20, wind speed high distribution coefficient (K zr), branched coefficient (K zt), turbulence intensity (I z), wind speed height distribution index (α), based on gyeongdopung height (Z g) and the Boundary Layer of The starting height (Z b ) can be calculated as:

K zr = 0.58 x 0.13 + 0.81 x 0.33 + 1.0 x 0.3 + 1.13 x 0.23 = 0.9026

K zt = 1.28 x 0.13 + 1.20 x 0.33 + 1.17 x 0.3 + 1.13 x 0.23 = 1.1733

I z = 0.23 x 0.13 + 0.22 x 0.33 + 0.19 x 0.3 + 0.15 x 0.23 = 0.1940

alpha = 0.33 x 0.13 + 0.22 x 0.33 + 0.15 x 0.3 + 0.10 x 0.23 = 0.1835

Z g = 500 x 0.13 + 400 x 0.33 + 300 x 0.3 + 250 x 0.23 = 344.5

Z b = 20 x 0.13 + 15 x 0.33 + 10 x 0.3 + 5 x 0.23 = 11.7

Referring again to FIG. 1, the wind load calculation apparatus 100 may further include a design wind speed calculation unit 14.

The design wind speed calculation unit 14 can calculate the design wind speed for the area 20 by using the parameters for the calculated area 20. According to one embodiment, the design wind speed calculation section 14 calculates or receives the basic wind speed V 0 , the wind speed altitude distribution coefficient K zr , the terrain coefficient K zt , and the importance coefficient I w necessary for calculating the design wind speed , It is possible to calculate the wind speed of the wind passing through the region 20 according to the above-described Equation (1).

The height information collection unit 11, the frequency distribution calculation unit 12, the parameter calculation unit 13, and the design wind speed calculation unit 14 described above execute a program for calculating a wind load to perform a wind load calculation operation, For example, a CPU. In addition, the program for calculating the wind load can be stored in a storage unit such as a memory, and the wind load calculation apparatus 100 can execute the program from the storage unit.

7 is a flowchart illustrating a method for calculating a wind load according to an embodiment of the present invention.

The method for calculating the wind load 200 according to an embodiment of the present invention can calculate a parameter for the area by applying a weight to a parameter set for each surface roughness based on a frequency distribution of heights of a plurality of points in the area have.

As shown in FIG. 7, the wind load calculation method 200 includes a step S21 of collecting height information of a plurality of points in the area, a step S22 calculating a frequency distribution of the height of the plurality of points, (S23) of assigning the surface roughness to the rank of the frequency distribution, and calculating a parameter for the region by applying a weight based on the frequency distribution to the parameter set for each of the surface roughnesses (S24) .

According to an embodiment of the present invention, the collecting step S21 may include collecting the height information from an electronic map including information on the area 20. [ The data on the digital map may be stored in a storage unit provided in the wind load calculation apparatus 100 according to an embodiment of the present invention or may be stored in an external storage device connected to the wind load calculation apparatus 100, And may be stored in a server connected to the wind load calculation device 100 via a network.

According to one embodiment of the present invention, the collecting step S21 is performed by using at least one of a ground survey, a GPS survey, an aerial photogrammetry, a radar survey and a LiDAR survey, And collecting height information of the plurality of points from the measured data.

According to an embodiment of the present invention, a plurality of points in the area 20 may correspond to a building located in the area. According to one embodiment, the collecting step S21 may calculate the height of the building as height information of the point when one point in the area 20 is located in the building.

On the other hand, some of the plurality of points in the area 20 may correspond to a ground or a surface where the building is not located. According to one embodiment, the collecting step S21 may calculate the height of the point to be 0 when one point in the area 20 is located on the ground or the water surface.

According to an embodiment of the present invention, the collecting step S21 may include extracting a building, a high point and a reference point from an electronic map of the area, extracting a nodal point from a center or an outline of the building from the extracted building A height of a point located on a building is calculated as a height of a building and a height of a point located on the ground is calculated as 0 .

According to an embodiment of the present invention, the height of the building can be calculated by multiplying the number of ground layers of the building by a predetermined height. The height multiplied by the number of ground layers of the building may be 3 meters, but is not limited thereto and may be set higher or lower than 3 meters.

According to one embodiment of the present invention, the collecting step S21 may comprise collecting (using) at least one of a ground survey, a GPS survey, an aerial photogrammetry, a radar survey and a LiDAR survey for the area Extracting the building and ground data by performing filtering from the three-dimensional point data, generating a point corresponding to the extracted building and the ground data one by one, calculating the height of the point located in the building as the height of the building, The height of the point may be calculated as zero.

The step S22 of calculating the frequency distribution is a step of calculating a frequency distribution of the height of the plurality of points. For example, the step S22 of calculating the frequency distribution may divide the heights of the plurality of points into a plurality of classes, and then calculate the frequency distribution of the points belonging to each class to calculate a frequency distribution.

According to one embodiment, the number of classes may correspond to the number of classes of surface roughness. For example, if the surface roughness is divided into four grades, the step S22 of calculating the frequency distribution may include calculating a frequency distribution of the four points of the height of the plurality of points . According to the embodiment, the height information of the point may be divided into not only four but also two, three or more classes.

According to an embodiment of the present invention, the step S23 of allocating the surface roughness may include allocating the surface roughness according to the size of the class. For example, in the step S23 of assigning the ground surface roughness, the larger the size of the class, the more rough surface roughness can be assigned.

According to an embodiment of the present invention, the step (S24) of calculating the parameters of the area includes a step of calculating the relative degrees of each class constituting the frequency distribution, and a step of calculating, And summing the values obtained by multiplying the numbers by the number.

(K zr ), the terrain coefficient (K zt ), the turbulence intensity (I z ), the wind speed altitude distribution index (?), And the standard The parameters such as the height of the hard wind (Z g ) and the height of the atmospheric boundary layer starting point (Z b ) are set differently for each surface roughness. An embodiment of the present invention may be applied to a method for determining a parameter value of a region 20 uniformly based on surface roughness by using information about heights of a plurality of points in the region 20, Numbers can be provided. In the embodiment of the present invention, the surface roughness is assigned to each rank of the frequency distribution, and the parameter values set for each of the surface roughnesses are multiplied by the weights of the respective ranks, Can be calculated.

According to an embodiment of the present invention, the wind load calculation method 200 may further include a step S25 of calculating a design wind speed of the area 20 using the calculated parameters.

The wind load calculation method 200 according to an embodiment of the present invention can be stored in a computer-readable recording medium that is manufactured as a program to be executed in a computer. The computer-readable recording medium includes all kinds of storage devices in which data that can be read by a computer system is stored. Examples of the computer-readable recording medium include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage, and the like.

In the above, a frequency distribution for the height of a plurality of points in a region to be considered in calculating a wind load is calculated, a parameter for the region is calculated by applying a weight to a parameter value set for each surface roughness based on the frequency distribution, A device and a method for calculating a wind load for calculating a wind load for the area using the parameters have been described.

According to the apparatus and method for calculating the wind load, parameter values and wind loads suitable for a corresponding area can be calculated based on objective information of the area instead of using uniformly set parameter values for each surface roughness. In addition, the wind load is inappropriately calculated by the surface roughness of the area determined by the subjective judgment of the designer, and the safety and economical efficiency of the structure can be prevented from deteriorating.

100: Wind load calculation device
11: height information collecting unit
12: Frequency distribution calculating section
13: Parameter calculation unit
14:

Claims (16)

A height information collecting unit for collecting height information of a plurality of points in the area;
A frequency distribution calculating unit for calculating a frequency distribution of the height of the plurality of points; And
And a parameter calculation unit for assigning a surface roughness to the rank of the frequency distribution and calculating a parameter of the area by applying a weight based on the frequency distribution to a parameter set for each of the surface roughnesses to calculate a wind load,
The height information collecting unit may include:
When the point is located on the building, the height of the building is calculated as height information of the point,
And calculates the height information of the point as 0 when the point is located on the ground or the water surface. The method according to claim 1,
The height information collecting unit may include:
An electronic map of the area; And
Data obtained by surveying the area using at least one of a ground survey, a GPS survey, an aerial photogrammetry, a radar survey and a LiDAR survey;
The height information of the point is collected from at least one of the plurality of points. The method according to claim 1,
The height information collecting unit may include:
A wind load calculation device for calculating a height of a building by multiplying the ground floor number of the building by a preset height. The method according to claim 1,
Wherein the plurality of points are uniformly distributed within the region. The method according to claim 1,
Wherein the parameter calculator comprises:
And the surface roughness is assigned according to the size of the class. The method according to claim 1,
Wherein the parameters include at least one of a wind speed altitude distribution coefficient, a terrain coefficient, a turbulence intensity, a wind speed altitude distribution index, a reference rough wind height and an atmospheric boundary layer start height. The method according to claim 1,
Wherein the parameter calculator comprises:
Calculating a relative frequency of each rank, and summing the calculated values by multiplying the parameter set for each of the ground surface roughnesses by the relative frequency. The method according to claim 1,
And a design wind speed calculation unit for calculating a design wind speed of the area using the calculated parameters. Collecting height information of a plurality of points in the area;
Calculating a frequency distribution of the height of the plurality of points;
Assigning the surface roughness to the rank of the frequency distribution; And
Calculating a parameter of the region by applying a weight based on the frequency distribution to a parameter set for each of the surface roughnesses in order to calculate a wind load,
Wherein the collecting comprises:
Calculating the height of the building as height information of the point when the point is located in the building; And
Calculating the height information of the point as 0 if the point is located on the ground or the water surface;
To calculate a wind load. 10. The method of claim 9,
Wherein the collecting comprises:
An electronic map of the area; And
Data obtained by surveying the area using at least one of a ground survey, a GPS survey, an aerial photogrammetry, a radar survey and a LiDAR survey;
Collecting height information of the point from at least one of the plurality of points. 10. The method of claim 9,
The step of estimating the height of the building as height information of the point includes:
And calculating a height of the building by multiplying the ground floor number of the building by a preset height. 10. The method of claim 9,
Wherein the plurality of points are uniformly distributed within the region. 10. The method of claim 9,
Wherein the assigning of the surface roughness comprises:
And assigning the surface roughness according to the size of the class. 10. The method of claim 9,
Wherein the parameter includes at least one of a wind speed altitude distribution coefficient, a terrain coefficient, a turbulence intensity, a wind speed altitude distribution index, a reference rough wind height, and an atmospheric boundary layer start height. 10. The method of claim 9,
The step of calculating the parameters of the region comprises:
Calculating a relative frequency of each class; And
Summing the calculated values by multiplying the parameter set for each of the surface roughnesses by the relative frequency;
To calculate a wind load. A recording medium on which a program for executing the wind load calculation method according to any one of claims 9 to 15 is recorded.
KR1020130140102A 2012-11-20 2013-11-18 Apparatus and method for calculating wind load KR20140064660A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20160036741A (en) * 2014-09-25 2016-04-05 경북대학교 산학협력단 Apparatus and method for calculating wind load considering topographic factor
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
KR20160036741A (en) * 2014-09-25 2016-04-05 경북대학교 산학협력단 Apparatus and method for calculating wind load considering topographic factor
CN111966955A (en) * 2020-08-20 2020-11-20 东南大学 Method for calculating wind load aiming at intelligent pole

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