Suzhou Electric Appliance Research Institute
期刊號(hào)： CN32-1800/TM| ISSN1007-3175

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500 kV輸電鐵塔力學(xué)失效分析和失效預(yù)測(cè)研究

來(lái)源：電工電氣發(fā)布時(shí)間：2024-05-08 14:08 瀏覽次數(shù)：246

500 kV輸電鐵塔力學(xué)失效分析和失效預(yù)測(cè)研究

陳易飛1, 陽(yáng)林1, 黃歡2, 吳建蓉2
(1 華南理工大學(xué) 電力學(xué)院，廣東 廣州 510640；
2 貴州電網(wǎng)電力科學(xué)研究院，貴州 貴陽(yáng) 550000)
 
    摘 要：針對(duì)中國(guó)南方地區(qū)典型覆冰線路，采用有限元仿真方法建立了 500 kV 輸電鐵塔的仿真模型，開展了不均勻覆冰下不同覆冰厚度和不同風(fēng)速等工況的力學(xué)特性分析，統(tǒng)計(jì)得到鐵塔的薄弱點(diǎn)位置規(guī)律。基于薄弱點(diǎn)構(gòu)件的軸向應(yīng)力和節(jié)點(diǎn)位移，開展輸電鐵塔力學(xué)失效分析，并通過(guò)基于 BP 神經(jīng)網(wǎng)絡(luò)的輸電鐵塔力學(xué)失效預(yù)測(cè)方法研究，實(shí)現(xiàn)對(duì)輸電鐵塔最大軸向應(yīng)力和節(jié)點(diǎn)位移的預(yù)測(cè)。結(jié)果表明：相同風(fēng)速和基本冰厚下，長(zhǎng)、短檔距側(cè)冰厚值相差越大，薄弱點(diǎn)構(gòu)件軸向應(yīng)力和節(jié)點(diǎn)位移值越大；隨著覆冰厚度的增加，風(fēng)速對(duì)節(jié)點(diǎn)位移的影響更大；相同冰風(fēng)荷載下，長(zhǎng)檔距側(cè)重覆冰對(duì)軸向應(yīng)力和節(jié)點(diǎn)位移的影響要大于短檔距側(cè)重覆冰；不均勻覆冰工況下，500 kV 輸電鐵塔的薄弱點(diǎn)位置主要分布在輸電鐵塔塔頭地線支架處、上下曲臂連接處、瓶頸處以及鐵塔的塔身處。該預(yù)測(cè)方法可以實(shí)現(xiàn)對(duì)其最大軸向應(yīng)力和節(jié)點(diǎn)位移的有效預(yù)測(cè)，為重冰區(qū)輸電鐵塔的失效預(yù)測(cè)提供了參考。
    關(guān)鍵詞： 覆冰線路；輸電鐵塔；失效分析；失效預(yù)測(cè)
    中圖分類號(hào)：TM726 ；TM753     文獻(xiàn)標(biāo)識(shí)碼：A     文章編號(hào)：1007-3175(2024)04-0017-10
 
Study on Mechanical Failure Analysis and Failure Prediction of
500 kV Transmission Tower
 
CHEN Yi-fei1, YANG Lin1, HUANG Huan2, WU Jian-rong2
（1 School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China;
2 Guizhou Power System Research Institute, Guiyang 550000, China）
 
    Abstract: This paper focuses on typical icing transmission lines in southern China and uses finite element simulation method to establish the simulation model of 500 kV transmission towers. The mechanical characteristics of different icing thicknesses and wind speeds under uneven icing working conditions are analyzed, and the weak point position rules of the towers are statistically obtained. Based on the axial stress and nodal displacement of weak point components, the mechanical failure analysis of the transmission tower was carried out, and the prediction of the maximum axial stress and nodal displacement of the transmission tower was realized through the research of the transmission tower mechanical failure prediction method based on BP neural network. The study results show that the greater the difference between the ice thickness values of the long and short pitch sides, the greater the axial stress and node displacement values of the weak point members under the same wind speed and basic ice thickness. As the thickness of ice cover increases, the influence of wind speed on node displacement becomes greater. Under the same ice wind load, the influence of longpitch heavy icing on axial stress and nodal displacement is greater than that of shortpitch heavy icing. Under uneven icing working conditions, the weak points position of 500 kV transmission towers are mainly distributed at the ground wire support of the tower head, the connection between the upper and lower curved arms, the bottleneck, and the body of the tower. The prediction method can effectively predict the maximum axial stress and nodal displacement providing a reference to the failure prediction of transmission towers in heavy ice areas.
    Key words: icing transmission line; transmission tower; failure analysis; failure prediction
 
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