Method of predicting fatigue life of power transmission tower in cold areas

A technology for fatigue life prediction and transmission towers, which is applied in electrical digital data processing, special data processing applications, instruments, etc., can solve the problems that the fatigue life prediction method of transmission towers has not been involved, and the research on fatigue life prediction of transmission towers is few. Achieve the effect of extensive promotion value, design rationality guarantee, and simple and easy method

Inactive Publication Date: 2017-10-24
STATE GRID XINJIANG ELECTRIC POWER CO ECONOMIC TECH RES INST +3
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  • Application Information

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Problems solved by technology

[0004] At present, scholars at home and abroad have achieved certain results in the research on the fatigue performance of steel materials, but there are few studies

Method used

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  • Method of predicting fatigue life of power transmission tower in cold areas
  • Method of predicting fatigue life of power transmission tower in cold areas
  • Method of predicting fatigue life of power transmission tower in cold areas

Examples

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Example Embodiment

[0046] The present invention will be further described in detail below with reference to the drawings and embodiments. This embodiment is a 750kV line project in a certain area of ​​Xinjiang, with a design wind speed of 31m / s (10m high in 50 years, 10min average maximum), ice coating 5mm, and extreme minimum temperature -30.0°C.

[0047] Such as figure 1 As shown, the steps of the method for predicting the fatigue life of transmission towers in cold regions are: determination of random wind load spectrum→determination of dangerous parts of the transmission tower→dynamic analysis under wind vibration of transmission tower→analysis of rain flow counting method→SN curve at low temperature Determination of → determination of low-temperature fatigue life, the specific process is as follows:

[0048] 1) Determination of random wind load spectrum: The average wind and fluctuating wind in the cold area are calculated and simulated respectively, and the average wind speed distribution map a...

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Abstract

The invention discloses a method of predicting fatigue life of a power transmission tower in cold areas and belongs to the technical field of power transmission towers. The method includes: determining a random wind load spectrum, determining a fatigue danger portion of the power transmission tower, performing dynamic analysis on the power transmission tower under wind vibration action, analyzing by a rain-flow counting method, determining an S-N curve at low temperature, and determining low-temperature fatigue life. The method has important theoretical and actual application values; by using the method to predict fatigue life of a power transmission tower in cold areas, it is possible to ensure safety, economy and reasonableness for a power transmission line of the power transmission tower in cold areas.

Description

technical field [0001] The invention relates to the technical field of power transmission towers, in particular to a method for predicting the fatigue life of power transmission towers in cold regions. Background technique [0002] With the rapid development of the national economy, the demand for power supply continues to grow, large-capacity, high-voltage transmission lines have developed rapidly, coupled with the development and utilization of wind energy in recent years, a large number of wind power stations have been established one after another. Many regions are currently vigorously developing the construction of transmission towers, especially in some extreme weather regions, such as alpine regions and perennially windy regions. Due to the special environment, higher requirements are put forward for the safety of transmission towers. [0003] In recent years, although there have been few transmission tower fatigue failures caused by wind loads, with the demand for co...

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/23
Inventor 程峰周楠胡常胜吴海洋覃伟平徐彬徐玉波王金锁李俊岳华刚包永忠郭念褚忠凯李亚单强谢文李洋康建国徐世玉刘辉殷飞胡亚芳冯衡曾二贤白强夏谦王松涛王亚东赵冲
Owner STATE GRID XINJIANG ELECTRIC POWER CO ECONOMIC TECH RES INST
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