Power characteristic-based power transmission tower structural failure early warning method

A transmission tower and power technology, applied in the field of early warning of transmission tower structure failure based on dynamic characteristics, can solve the problems of lack of effective methods and achieve the effect of avoiding major accidents

Inactive Publication Date: 2011-01-26
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, there is still no effective method for how to use dynamic characteristics ...

Method used

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  • Power characteristic-based power transmission tower structural failure early warning method
  • Power characteristic-based power transmission tower structural failure early warning method
  • Power characteristic-based power transmission tower structural failure early warning method

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Embodiment Construction

[0025] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the embodiments.

[0026] Taking a transmission tower as an example, the method of the present invention is used to carry out early warning of structural failure, and the specific steps are as follows:

[0027] (1) Establish a high-fidelity dynamic finite element model of the transmission tower, the specific method is as follows:

[0028] First, establish the initial finite element model of the transmission tower: There are many schemes for the finite element modeling of the transmission tower. For braces and main webs, rod elements are used to simulate secondary webs, and the finite element model contains 1184 elements in total. The calculation results of the initial finite element model, including the mode order, mode shape and corresponding mode frequency, are shown in Ta...

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Abstract

The invention discloses a power characteristic-based power transmission tower structural failure early warning method, which comprises the following steps of: (1) establishing a power transmission tower high-fidelity dynamic finite element model; (2) establishing a functional relation between a power transmission tower power characteristic change rate and load; (3) acquiring the power characteristic of the power transmission tower in the working state by utilizing a vibration sensor; and (4) early warning the power transmission tower structural failure according to the actually measured power characteristic change rate and the functional relation. By combining the actually measured power characteristic and the structural transcendental analysis, the structural failure problem of the power transmission tower in the working state can be early warned; and by applying the high-fidelity modeling technology and operating state mode identification technology, the method can accurately perform early warning before the structural failure to avoid major accidents.

Description

technical field [0001] The invention relates to a failure early warning method applied to engineering structures, in particular to a structural failure early warning method applied to transmission towers. Background technique [0002] Transmission line is the carrier of high-load electric energy transmission and an important lifeline project. As the core component of transmission lines, the structural safety of transmission towers is crucial to the safety of the entire transmission line. In early 2008, extreme weather conditions such as blizzards and freezing rain across the country caused the collapse of more than 2,000 transmission towers in Hunan, Guizhou and other places, resulting in large-scale power outages. Therefore, it is necessary to carry out safety monitoring on the transmission tower structure. [0003] The focus of structural safety monitoring of transmission towers is the mechanical characteristics of the structure under working conditions, including static...

Claims

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Application Information

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IPC IPC(8): E04H12/00
Inventor 费庆国韩晓林
Owner SOUTHEAST UNIV
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