An equivalent static wind load analysis method and system for a power transmission tower under strong convective wind field

Abstract

This invention discloses a method and system for analyzing the equivalent static wind load of a transmission tower under strong convective wind fields, relating to the field of transmission tower calculation. The method includes: obtaining the gust wind pressure corresponding to the strong convective wind field at a preset standard height; determining the target wind speed height of the strong convective wind field based on the tower height data; constructing a wind pressure height variation coefficient reflecting the wind profile characteristics of the strong convective wind field using the target wind speed height; determining the dynamic amplification effect coefficient based on the dynamic response characteristics of the transmission tower under strong convective wind fields; and calculating the equivalent static wind load of the transmission tower by combining the wind pressure height variation coefficient, the dynamic amplification effect coefficient, the gust wind pressure, and the preset wind load shape coefficient, thereby improving the safety of transmission lines.

Description

Technical Field

[0001] This invention relates to the field of transmission tower technology, and in particular to a method and system for analyzing the equivalent static wind load of transmission towers under strong convective wind fields. Background Technology

[0002] Severe convective weather, including thunderstorms and squall lines, is an extreme weather phenomenon characterized by its sudden onset, short duration, and immense wind damage potential. Severe convective wind fields typically feature strong descending airflows that, upon contacting the near-surface, form strong horizontally diffused winds. Their vertical wind profiles, turbulent structures, and spatiotemporal evolution patterns differ significantly from traditional atmospheric boundary layer winds. These short-duration, strong winds pose a serious threat to tall structures such as power transmission towers.

[0003] Existing technologies mainly focus on equivalent static wind load studies for conventional atmospheric boundary layer wind fields. However, because the wind field characteristics of this research method do not match those of strong convective wind fields, it cannot accurately reflect the static load law under strong convective wind field conditions, making it difficult to meet the design requirements of transmission lines in extreme climate zones.

[0004] Therefore, how to quantitatively analyze the static load of transmission towers under strong convective wind conditions and improve the safety of transmission lines has become a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0005] This invention provides a method and system for analyzing the equivalent static wind load of transmission towers under strong convective wind fields, in order to solve the problem of how to combine the performance coefficients of multiple transmission towers to conduct in-depth research on the equivalent static wind load and improve the ability to quantify the characteristics of strong convective wind fields.

[0006] To address the aforementioned technical problems, embodiments of the present invention provide a method for analyzing the equivalent static wind load on transmission towers under strong convective wind fields, including: Obtain the gust wind pressure corresponding to the strong convective wind field at a preset standard height; The target wind speed height of the strong convective wind field is determined based on the tower height data of the transmission tower, and the wind pressure height variation coefficient reflecting the wind profile characteristics of the strong convective wind field is constructed using the target wind speed height. The dynamic amplification effect coefficient is determined based on the dynamic response characteristics of the transmission tower under strong convective wind fields. The equivalent static wind load of the transmission tower is calculated by combining the wind pressure height variation coefficient, the dynamic amplification effect coefficient, the gust wind pressure, and the preset wind load shape coefficient.

[0007] Furthermore, obtaining the gust wind pressure corresponding to the strong convective wind field at the preset standard height includes: Obtain the first extreme gust wind speed corresponding to the strong convective wind field at a preset standard height at a set time interval; The gust pressure is calculated using the first extreme gust wind speed.

[0008] Furthermore, determining the target wind speed height for the strong convective wind field based on the tower height data of the transmission tower includes: Based on the tower height data, establish a ratio relationship between the maximum wind speed height and the tower height; In a simulated strong convective wind field environment, the variation law of the tower top displacement response of different types of transmission towers with the ratio relationship was tested. The target wind speed height of the transmission tower under strong convective wind field is determined by using the relationship curve fitted by the aforementioned variation law.

[0009] Furthermore, the step of constructing a wind pressure height variation coefficient reflecting the wind profile characteristics of a strong convective wind field using the target wind speed height includes: Based on the target wind speed altitude, determine the maximum wind speed corresponding to the strong convective wind field; A vertical wind profile simulation was performed on a strong convective wind field, and a wind profile formula with the target wind speed height and the maximum wind speed as parameters was obtained by fitting the simulation results. The second extreme gust wind speed is determined using the aforementioned wind profile formula; The wind pressure height variation coefficient is constructed based on the first proportional relationship between the second extreme gust wind speed and the first extreme gust wind speed.

[0010] Furthermore, determining the dynamic amplification effect coefficient based on the dynamic response characteristics of the transmission tower under strong convective wind fields includes: Obtain the extreme values ​​of transient dynamic response and average response of the transmission tower under strong convective wind field; The dynamic amplification effect coefficient is determined based on the second proportional relationship between the extreme values ​​of the transient dynamic response and the extreme values ​​of the average response.

[0011] Furthermore, the process of simulating the vertical wind profile of the strong convective wind field includes: The WRF model is introduced to simulate the vertical wind profile of a strong convective wind field.

[0012] Furthermore, the dynamic amplification effect coefficient is calculated with the tower top displacement response as the target.

[0013] Another embodiment of the present invention provides an equivalent static wind load analysis system for transmission towers under strong convective wind fields, comprising: The wind pressure coefficient acquisition module is used to acquire the gust wind pressure corresponding to the strong convective wind field at a preset standard height. The height coefficient acquisition module is used to determine the target wind speed height of the strong convective wind field based on the tower height data of the transmission tower, and to construct a wind pressure height variation coefficient that reflects the wind profile characteristics of the strong convective wind field using the target wind speed height. The dynamic coefficient acquisition module is used to determine the dynamic amplification effect coefficient based on the dynamic response characteristics of the transmission tower under strong convective wind fields. The static wind load calculation module is used to calculate the equivalent static wind load of the transmission tower in conjunction with the wind pressure height variation coefficient, the dynamic amplification effect coefficient, the gust wind pressure, and the preset wind load shape coefficient.

[0014] Furthermore, the wind pressure coefficient acquisition module is specifically used for: Obtain the first extreme gust wind speed corresponding to the strong convective wind field at a preset standard height at a set time interval; The gust pressure is calculated using the first extreme gust wind speed.

[0015] Furthermore, the height coefficient acquisition module is specifically used for: Based on the tower height data, establish a ratio relationship between the maximum wind speed height and the tower height; In a simulated strong convective wind field environment, the variation law of the tower top displacement response of different types of transmission towers with the ratio relationship was tested. The target wind speed height of the transmission tower under strong convective wind field is determined by using the relationship curve fitted by the aforementioned variation law.

[0016] Furthermore, the height coefficient acquisition module is also used for: Based on the target wind speed altitude, determine the maximum wind speed corresponding to the strong convective wind field; A vertical wind profile simulation was performed on a strong convective wind field, and a wind profile formula with the target wind speed height and the maximum wind speed as parameters was obtained by fitting the simulation results. The second extreme gust wind speed is determined using the aforementioned wind profile formula; The wind pressure height variation coefficient is constructed based on the first proportional relationship between the second extreme gust wind speed and the first extreme gust wind speed.

[0017] Furthermore, the dynamic coefficient acquisition module is specifically used for: Obtain the extreme values ​​of transient dynamic response and average response of the transmission tower under strong convective wind field; The dynamic amplification effect coefficient is determined based on the second proportional relationship between the extreme values ​​of the transient dynamic response and the extreme values ​​of the average response.

[0018] Furthermore, the process of simulating the vertical wind profile of the strong convective wind field includes: The WRF model is introduced to simulate the vertical wind profile of a strong convective wind field.

[0019] Furthermore, the dynamic amplification effect coefficient is calculated with the tower top displacement response as the target.

[0020] Another embodiment of the present invention provides a computer device including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the method for analyzing the equivalent static wind load of a transmission tower under strong convective wind fields as described above.

[0021] In another embodiment of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing a computer program, wherein when the device containing the computer-readable storage medium executes the computer program, it implements the method for analyzing the equivalent static wind load of a transmission tower under strong convective wind fields as described above.

[0022] Compared with the prior art, the beneficial effects of the embodiments of the present invention are at least one of the following: This invention provides accurate data input for load calculation by obtaining gust wind pressure at a preset standard height, effectively reflecting the short-term impact characteristics of strong convective wind fields. By determining wind speed height based on the transmission tower height and constructing a wind pressure height variation coefficient, it accurately depicts the distribution law of wind speed increasing and then decreasing along the tower height in strong convective wind fields, improving the matching degree between load and strong convective wind fields. Based on the dynamic response characteristics of the transmission tower under strong convective wind fields, it determines the dynamic amplification effect coefficient, which can reasonably quantify vibration effects and improve the reliability of load calculation. Finally, by combining the above coefficients and wind load shape coefficients to calculate the equivalent static wind load, it achieves efficient analysis of transmission tower loads under strong convective wind fields, providing reliable support for the design of transmission lines to cope with extreme climates. Attached Figure Description

[0023] Figure 1 This is a schematic diagram of the process for analyzing the equivalent static wind load of a transmission tower under a strong convective wind field, according to one embodiment of the present invention. Figure 2 This is an embodiment of the present invention showing the tower top displacement response of various transmission towers in a strong convective wind field and... Z max / H relationship curve; Figure 3 This is a vertical cross-sectional comparison diagram of a strong convective wind field and an atmospheric boundary layer wind field in one embodiment of the present invention. Figure 4 This is a comparison diagram of the wind profile formula in one embodiment of the present invention with the vertical wind profile simulated by the WRF model, OBV model, Wood model and OB model at different times; Figure 5 This is a comparison of the equivalent static wind load curves of different tower sections of the same transmission tower under strong convective wind fields and atmospheric boundary layer wind fields in one embodiment of the present invention. Figure 6 This is a schematic diagram of the equivalent static wind load analysis system for transmission towers under strong convective wind fields in one embodiment of the present invention; Figure 7 This is a structural block diagram of a preferred embodiment of a computer device provided by the present invention. Detailed Implementation

[0024] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0025] In the description of this application, the terms "first," "second," "third," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Therefore, a feature defined with "first," "second," "third," etc., may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0026] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; they can refer to mechanical connections or electrical connections; they can refer to direct connections or indirect connections through an intermediate medium; and they can refer to the internal communication between two components. The terms "vertical," "horizontal," "left," "right," "upper," "lower," and similar expressions used herein are for illustrative purposes only and do not indicate or imply that the device or component referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as limiting the invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0027] In the description of this application, it should be noted that, unless otherwise defined, all technical and scientific terms used in this invention have the same meaning as commonly understood by one of ordinary skill in the art. The terminology used in this specification is for the purpose of describing specific embodiments only and is not intended to limit the invention. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0028] One embodiment of the present invention provides a method for analyzing the equivalent static wind load on transmission towers under strong convective wind fields. For details, please refer to [link / reference]. Figure 1 , Figure 1 The diagram shown is a flowchart illustrating the equivalent static wind load analysis method for transmission towers under strong convective wind fields in one embodiment of the present invention, including the following steps: S1. Obtain the gust pressure corresponding to the strong convective wind field at the preset standard height.

[0029] This embodiment aims to calculate the equivalent static wind load on a transmission tower under a strong convective wind field by combining multiple key coefficients. Based on this, this step calculates the gust wind pressure of the strong convective wind field at a preset standard height. Specifically, it first obtains the extreme gust wind speed of the strong convective wind field at the preset standard height at a set time interval, which is defined as the first extreme gust wind speed in this embodiment. Preferred, set standard height =10m; To more accurately reflect the time-varying characteristics of strong convective wind fields, gust speeds with shorter time intervals need to be specified to express the wind speed of strong convective wind fields. Preferably, 3s. Correspondingly, This can be provided from actual meteorological data.

[0030] Utilizing the first extreme gust wind speed It can create gust wind pressure and the first extreme gust wind speed The relationship between them is expressed as follows: In the formula, This refers to air density.

[0031] Based on this formula, the gust wind pressure can be calculated, which will be used as one of the key coefficients in calculating the equivalent static wind load.

[0032] S2. Determine the target wind speed height of the strong convective wind field based on the tower height data of the transmission tower, and use the target wind speed height to construct a wind pressure height variation coefficient that reflects the wind profile characteristics of the strong convective wind field.

[0033] This step aims to calculate another crucial coefficient—the wind pressure height variation coefficient. First, it's necessary to obtain the maximum wind speed height corresponding to the most unfavorable wind load response under strong convective wind conditions. Zmax Specifically, this embodiment will conduct simulation tests in a strong convective wind field environment, selecting 13 different types and heights of UHVDC transmission towers as test objects: 500kV-goblet-shaped angle steel tower - 45m high, 500kV-goblet-shaped angle steel tower - 55m high, 500kV-goblet-shaped angle steel tower - 65m high, 800kV-T-shaped angle steel tower - 42m high, 800kV-T-shaped angle steel tower - 52m high, 800kV- T-shaped angle steel tower - 62m high, 800kV T-shaped angle steel tower - 72m high, 800kV T-shaped angle steel tower - 82m high, 1000kV double-circuit steel pipe tower - 81.6m high, 1000kV double-circuit steel pipe tower - 90.6m high, 1000kV double-circuit steel pipe tower - 99.6m high, 1000kV double-circuit steel pipe tower - 110.1m high, 1000kV double-circuit steel pipe tower - 120.6m high.

[0034] In one implementation of the present invention, the maximum wind speed height is established based on the tower height data provided by the test object. Z max The ratio between the tower height H and the tower height H is... Z max / H defines the maximum wind speed altitude Z max The ratio between the tower height and the tower height H was used to test the variation of the tower top displacement response of different types of transmission towers in a simulated environment, based on the aforementioned tower height data. The relationship curve fitted using this variation pattern is shown in the figure. Figure 2 Its x-coordinate is Z max / H, where the vertical axis represents the displacement response at the top of the transmission tower. It can be seen that the extreme points of the displacement response at the top of these 13 types of transmission towers all fall within the range of / H. Z max If it appears around / H=0.85, then it can be considered... Z max =0.85H is the maximum wind speed height corresponding to the most unfavorable wind load response under a strong convective wind field. Based on this expression, the maximum wind speed height corresponding to transmission towers of different tower heights under a strong convective wind field can be determined, that is, the target wind speed height.

[0035] In obtaining Z max Next, the maximum wind speed corresponding to the strong convective wind field is calculated. In this embodiment, the maximum wind speed From the first extreme gust wind speed With maximum wind speed altitude Z max As jointly determined, the specific details are as follows: Next, a vertical wind profile simulation of the strong convective wind field was performed, and the maximum wind speed at height was obtained by fitting the data. Z max and maximum wind speed The formula for the wind profile with parameters is expressed as follows: In the formula, For strong convective wind fields at any height In The second extreme gust wind speed over time.

[0036] Understandably, strong convective wind fields differ from ordinary atmospheric boundary layer wind fields. One typical characteristic is that the wind speed in a strong convective wind field increases rapidly with altitude, reaches a maximum value, and then decreases, while the wind speed in an ordinary atmospheric boundary layer wind field increases logarithmically (or exponentially) with altitude. A comparison of the vertical profiles of the two wind fields can be seen in [the diagram]. Figure 3 As shown.

[0037] Based on the unique characteristics of strong convective wind fields, this embodiment preferably uses the WRF (Weather Research and Forecasting) model to simulate the most unfavorable vertical wind profile of the strong convective wind field to fit the wind profile formula. For example, the simulation of this formula determines... A comparison of the strong convective wind profiles simulated by WRF at different times (2s, 3s, 4s, 5s, 10s, 11s), the classic downburst OBV (Oseguera and Bowles / Vicroy) model, the Wood model, and the OB (Oseguera and Bowles) model is shown in [link to WRF simulation]. Figure 4 As shown.

[0038] It can be seen that, Figure 4 The vertical axis represents wind speed. V According to the maximum wind speed Normalized, with the x-axis representing height. Z According to the maximum wind speed height Z max The normalization of WRF1-2 / 3 / 4 / 5 / 10 / 11 represents the vertical wind profiles of the WRF simulation results at times 2s, 3s, 4s, 5s, 10s, and 11s. Figure 4 The data shows that the strong convective wind field simulated by WRF based on actual conditions still has relatively high wind speeds above the maximum wind speed height. Therefore, the second extreme gust wind speed obtained by fitting the WRF simulation results is... This can encompass the above vertical wind profile. Based on this, this embodiment will utilize the second extreme gust wind speed. The first proportional relationship between the wind pressure and the first extreme gust wind speed is used to construct the wind pressure height variation coefficient. Specifically, it is expressed as follows: After sorting, we can obtain: It can be seen that the wind pressure height variation coefficient It is associated with any height z of the transmission tower.

[0039] S3 determines the dynamic amplification effect coefficient based on the dynamic response characteristics of the transmission tower under strong convective wind fields.

[0040] This step provides a detailed analysis of the process for determining the key parameter, the dynamic amplification effect coefficient.

[0041] Specifically, firstly, the extreme values ​​of the transient dynamic response and the extreme values ​​of the average response of the transmission tower under strong convective wind field are obtained. Then, based on the second proportional relationship between the extreme values ​​of the transient dynamic response and the extreme values ​​of the average response, the dynamic amplification effect coefficient is determined. Specifically, it is represented by the following formula: In the formula, This represents the extreme value of the transient dynamic response. This represents the extreme value of the average response.

[0042] In one implementation of this invention, the dynamic amplification effect coefficient is defined as a constant value calculated with the tower top displacement response as the target. For example, it can be applied to three different types of transmission towers (e.g., 500kV goblet-shaped angle steel tower, 800kV T-shaped angle steel tower, and 1000kV double-circuit steel pipe tower), taking into account wind field parameters (different wind direction angles and maximum wind speed heights). Z max The displacement response corresponding to the tower top displacement, base shear force, and base bending moment under different transmission tower types and structural parameters (different tower types and different tower heights) is analyzed. It is understandable that since the tower top displacement response value is generally greater than the displacement response values ​​of the base shear force and base bending moment, this embodiment preferably uses the tower top displacement response as the target to calculate the dynamic amplification effect coefficient of the transmission tower top. If its maximum value is 1.1, then it is considered that... The most unfavorable wind load condition under a strong convective wind field is taken as 1.1. Therefore, in this embodiment, the dynamic amplification effect coefficient under a strong convective wind field can be defined without considering the variation along the height, and a uniform value is taken along the height. .

[0043] S4. Finally, the equivalent static wind load of the transmission tower is calculated using the wind pressure height variation coefficient, dynamic amplification effect coefficient, gust wind pressure, and preset wind load shape coefficient obtained collaboratively, and is expressed by the following formula: In the formula, This is the preset wind load shape coefficient, which can be selected according to the specifications.

[0044] The following example details the calculation process for equivalent static wind load: The determined height of the transmission tower itself is its total height. , specified standard height Specified time interval The extreme gust wind speed at a height of 10m in 3 seconds was obtained based on actual meteorological data. , The value is 2.5 according to the standard.

[0045] Then, gust wind pressure Maximum wind speed height in strong convective wind fields The coefficient of variation of wind pressure height Based on this, if the calculation is of the equivalent static wind load at a height of 50m on the transmission tower, then: Finally, the coefficient of synergistic dynamic amplification effect The equivalent static wind load at a height of 50m on the transmission tower under strong convective wind conditions was obtained: Similarly, the equivalent static wind load of other tower sections at other heights under strong convective wind fields can be calculated, and the calculation results are shown in Table 1.

[0046] Table 1. Calculation results of equivalent static wind load on transmission towers at different heights under strong convective wind conditions. In one implementation of the present invention, the equivalent static wind load of transmission tower sections at different heights under Class B geomorphic atmospheric boundary layer wind fields can be calculated according to the "Code for Design of Building Structures GB 50009-2012". It is worth noting that in the calculation... At this time, the 3-second wind speed at a standard altitude of 10m needs to be converted to a 10-minute wind speed to conform to the characteristics of the atmospheric boundary layer wind field. The calculation... The corresponding calculated equivalent static wind loads are shown in Table 2: Table 2. Calculation results of equivalent static wind load on transmission towers under atmospheric boundary layer wind field Based on the above comparative calculations, equivalent static wind load curves for transmission tower sections of different heights under strong convective wind fields and atmospheric boundary layer wind fields can be fitted respectively. See the detailed comparison below. Figure 5 As shown, from Figure 4It can be seen that the wind load at the atmospheric boundary layer at higher altitudes is slightly greater than the strong convective wind load, while at other heights of the transmission tower, it is much smaller than the strong convective wind load. The shape of the strong convective wind load changing with height is similar to the shape of the wind pressure height variation coefficient, while the wind load at the atmospheric boundary layer increases linearly with height.

[0047] In summary, this embodiment calculates the equivalent static wind load of the transmission tower by calculating the wind pressure height variation coefficient, the dynamic amplification effect coefficient, and the gust wind pressure, and introduces the wind load shape coefficient. This equivalent static wind load is closely related to the transmission tower height parameter and can reflect the equivalent static wind load generated when a strong convective wind field acts at different heights of the transmission tower, thereby providing accurate data support for transmission tower design and subsequent maintenance.

[0048] One embodiment of the present invention provides an equivalent static wind load analysis system for transmission towers under strong convective wind fields. For details, please refer to [link / reference]. Figure 6 , Figure 6 The diagram shown is a schematic representation of the equivalent static wind load analysis system for a transmission tower under strong convective wind fields, according to one embodiment of the present invention, including: The wind pressure coefficient acquisition module M1 is used to acquire the gust wind pressure corresponding to the strong convective wind field at a preset standard height. The height coefficient acquisition module M2 is used to determine the target wind speed height of the strong convective wind field based on the tower height data of the transmission tower, and to construct a wind pressure height variation coefficient that reflects the wind profile characteristics of the strong convective wind field using the target wind speed height. The dynamic coefficient acquisition module M3 is used to determine the dynamic amplification effect coefficient based on the dynamic response characteristics of the transmission tower under strong convective wind fields. The static wind load calculation module M4 is used to calculate the equivalent static wind load of the transmission tower in conjunction with the wind pressure height variation coefficient, the dynamic amplification effect coefficient, the gust wind pressure, and the preset wind load shape coefficient.

[0049] In this embodiment, the gust wind pressure is determined using the wind pressure coefficient acquisition module. Specifically: Obtain the first extreme gust wind speed corresponding to the strong convective wind field at a preset standard height over a set time interval. Then, use the first extreme gust wind speed to calculate the gust wind pressure.

[0050] In this embodiment, the wind pressure height variation coefficient can be determined through the height coefficient acquisition module. First, based on the tower height data, a ratio relationship between the maximum wind speed height and the tower height is established. In a simulated strong convective wind field environment, the variation law of the tower top displacement response of different types of transmission towers with the ratio relationship is tested. Using the relationship curve fitted by the variation law, the target wind speed height of the transmission tower under strong convective wind field is determined.

[0051] Next, based on the target wind speed altitude, determine the maximum wind speed corresponding to the strong convective wind field; Vertical wind profile simulation was performed on the strong convective wind field. Based on the simulation results, a wind profile formula with target wind speed height and maximum wind speed as parameters was obtained. The second extreme gust wind speed was determined using the wind profile formula. Based on the first proportional relationship between the second extreme gust wind speed and the first extreme gust wind speed, the wind pressure height variation coefficient was constructed.

[0052] In this embodiment, the WRF model is preferably introduced to simulate the vertical wind profile of the strong convective wind field.

[0053] Furthermore, in this embodiment, the dynamic amplification effect coefficient is determined by the dynamic coefficient acquisition module. Specifically, firstly, the extreme values ​​of the transient dynamic response and the extreme values ​​of the average response of the transmission tower under the action of a strong convective wind field are obtained, and the dynamic amplification effect coefficient is determined according to the second proportional relationship between the extreme values ​​of the transient dynamic response and the extreme values ​​of the average response.

[0054] The dynamic amplification effect coefficient is calculated with the tower top displacement response as the target.

[0055] This invention also provides a computer device; for details, please refer to [link / reference needed]. Figure 7 The diagram shown is a structural block diagram of a preferred embodiment of a computer device provided by the present invention. The computer device includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the method described above.

[0056] Preferably, the computer program can be divided into one or more modules / units (such as computer program 1, computer program 2, ...), and the one or more modules / units are stored in the memory and executed by the processor to complete the present invention. The one or more modules / units can be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer program in the computer device.

[0057] The processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor, or the processor can be any conventional processor. The processor is the control center of the terminal device, connecting various parts of the terminal device through various interfaces and lines.

[0058] The memory mainly includes a program storage area and a data storage area. The program storage area can store the operating system, applications required for at least one function, etc., while the data storage area can store related data, etc. Furthermore, the memory can be a high-speed random access memory, or a non-volatile memory, such as a plug-in hard drive, a SmartMedia Card (SMC), a Secure Digital (SD) card, and a Flash Card, or other volatile solid-state storage devices.

[0059] It should be noted that the aforementioned terminal devices may include, but are not limited to, processors and memory, as will be understood by those skilled in the art. Figure 7 The structural block diagram is merely an example of a terminal device and does not constitute a limitation on the terminal device. It may include more or fewer components than shown, or combine certain components, or use different components. Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The storage medium may be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc.

[0060] Accordingly, embodiments of the present invention provide a computer-readable storage medium, the computer-readable storage medium including a stored computer program, wherein, when the computer program is executed, it controls the device where the computer-readable storage medium is located to perform the steps in the method of the above embodiments, for example... Figure 1 Steps S1 to S4 as described above.

[0061] The technical features and effects of the equivalent static wind load analysis system for transmission towers under strong convective wind fields proposed in this embodiment of the invention are the same as those of the equivalent static wind load analysis method for transmission towers under strong convective wind fields proposed in this embodiment of the invention, and will not be repeated here.

[0062] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

Claims

1. A method for analyzing the equivalent static wind load on a transmission tower under strong convective wind conditions, characterized in that, include: Obtain the gust wind pressure corresponding to the strong convective wind field at a preset standard height; The target wind speed height of the strong convective wind field is determined based on the tower height data of the transmission tower, and the wind pressure height variation coefficient reflecting the wind profile characteristics of the strong convective wind field is constructed using the target wind speed height. The dynamic amplification effect coefficient is determined based on the dynamic response characteristics of the transmission tower under strong convective wind fields. The equivalent static wind load of the transmission tower is calculated by combining the wind pressure height variation coefficient, the dynamic amplification effect coefficient, the gust wind pressure, and the preset wind load shape coefficient.

2. The method for analyzing the equivalent static wind load of a transmission tower under strong convective wind fields as described in claim 1, characterized in that, The acquisition of the gust wind pressure corresponding to the strong convective wind field at the preset standard height includes: Obtain the first extreme gust wind speed corresponding to the strong convective wind field at a preset standard height at a set time interval; The gust pressure is calculated using the first extreme gust wind speed.

3. The method for analyzing the equivalent static wind load of a transmission tower under strong convective wind fields as described in claim 1, characterized in that, The determination of the target wind speed height for a strong convective wind field based on the tower height data of the transmission tower includes: Based on the tower height data, establish a ratio relationship between the maximum wind speed height and the tower height; In a simulated strong convective wind field environment, the variation law of the tower top displacement response of different types of transmission towers with the ratio relationship was tested. The target wind speed height of the transmission tower under strong convective wind field is determined by using the relationship curve fitted by the aforementioned variation law.

4. The method for analyzing the equivalent static wind load on a transmission tower under strong convective wind fields as described in claim 2, characterized in that, The method of constructing a wind pressure height variation coefficient that reflects the characteristics of a strong convective wind field using the target wind speed height includes: Based on the target wind speed altitude, determine the maximum wind speed corresponding to the strong convective wind field; A vertical wind profile simulation was performed on a strong convective wind field, and a wind profile formula with the target wind speed height and the maximum wind speed as parameters was obtained by fitting the simulation results. The second extreme gust wind speed is determined using the aforementioned wind profile formula; The wind pressure height variation coefficient is constructed based on the first proportional relationship between the second extreme gust wind speed and the first extreme gust wind speed.

5. The method for analyzing the equivalent static wind load of a transmission tower under strong convective wind fields as described in claim 1, characterized in that, The determination of the dynamic amplification effect coefficient based on the dynamic response characteristics of the transmission tower under strong convective wind fields includes: Obtain the extreme values ​​of transient dynamic response and average response of the transmission tower under strong convective wind field; The dynamic amplification effect coefficient is determined based on the second proportional relationship between the extreme values ​​of the transient dynamic response and the extreme values ​​of the average response.

6. The method for analyzing the equivalent static wind load of a transmission tower under strong convective wind fields as described in claim 4, characterized in that, The process of simulating the vertical wind profile of a strong convective wind field includes: The WRF model is introduced to simulate the vertical wind profile of a strong convective wind field.

7. The method for analyzing the equivalent static wind load of a transmission tower under strong convective wind fields as described in claim 3, characterized in that, The dynamic amplification effect coefficient is calculated with the tower top displacement response as the target.

8. A system for analyzing the equivalent static wind load on a transmission tower under strong convective wind conditions, characterized in that, include: The wind pressure coefficient acquisition module is used to acquire the gust wind pressure corresponding to the strong convective wind field at a preset standard height. The height coefficient acquisition module is used to determine the target wind speed height of the strong convective wind field based on the tower height data of the transmission tower, and to construct a wind pressure height variation coefficient that reflects the wind profile characteristics of the strong convective wind field using the target wind speed height. The dynamic coefficient acquisition module is used to determine the dynamic amplification effect coefficient based on the dynamic response characteristics of the transmission tower under strong convective wind fields. The static wind load calculation module is used to calculate the equivalent static wind load of the transmission tower in conjunction with the wind pressure height variation coefficient, the dynamic amplification effect coefficient, the gust wind pressure, and the preset wind load shape coefficient.

9. The equivalent static wind load analysis system for transmission towers under strong convective wind fields as described in claim 8, characterized in that, The wind pressure coefficient acquisition module is specifically used for: Obtain the first extreme gust wind speed corresponding to the strong convective wind field at a preset standard height at a set time interval; The gust pressure is calculated using the first extreme gust wind speed.

10. The equivalent static wind load analysis system for transmission towers under strong convective wind fields as described in claim 8, characterized in that, The height coefficient acquisition module is specifically used for: Based on the tower height data, establish a ratio relationship between the maximum wind speed height and the tower height; In a simulated strong convective wind field environment, the variation law of the tower top displacement response of different types of transmission towers with the ratio relationship was tested. The target wind speed height of the transmission tower under strong convective wind field is determined by using the relationship curve fitted by the aforementioned variation law.

11. The equivalent static wind load analysis system for transmission towers under strong convective wind fields as described in claim 9, characterized in that, The height coefficient acquisition module is also used for: Based on the target wind speed altitude, determine the maximum wind speed corresponding to the strong convective wind field; A vertical wind profile simulation was performed on a strong convective wind field, and a wind profile formula with the target wind speed height and the maximum wind speed as parameters was obtained by fitting the simulation results. The second extreme gust wind speed is determined using the aforementioned wind profile formula; The wind pressure height variation coefficient is constructed based on the first proportional relationship between the second extreme gust wind speed and the first extreme gust wind speed.

12. The equivalent static wind load analysis system for transmission towers under strong convective wind fields as described in claim 8, characterized in that, The dynamic coefficient acquisition module is specifically used for: Obtain the extreme values ​​of transient dynamic response and average response of the transmission tower under strong convective wind field; The dynamic amplification effect coefficient is determined based on the second proportional relationship between the extreme values ​​of the transient dynamic response and the extreme values ​​of the average response.

13. The equivalent static wind load analysis system for transmission towers under strong convective wind fields as described in claim 11, characterized in that, The process of simulating the vertical wind profile of a strong convective wind field includes: The WRF model is introduced to simulate the vertical wind profile of a strong convective wind field.

14. The equivalent static wind load analysis system for transmission towers under strong convective wind fields as described in claim 10, characterized in that, The dynamic amplification effect coefficient is calculated with the tower top displacement response as the target.

15. A computer device, characterized in that, The method includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor, when executing the computer program, implements the method for analyzing equivalent static wind loads of transmission towers under strong convective wind fields as described in any one of claims 1 to 7.

16. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, wherein when the device containing the computer-readable storage medium executes the computer program, it implements the method for analyzing the equivalent static wind load of a transmission tower under a strong convective wind field as described in any one of claims 1 to 7.

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