| 利用关键构件力学特性的覆冰塔线体系事故预测方法 |
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| 引用本文： | 姚陈果,毛峰,许道林,刘孝全,周泽宏,崔玉家. 利用关键构件力学特性的覆冰塔线体系事故预测方法[J]. 高电压技术, 2011, 37(2) |
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| 作者姓名： | 姚陈果 毛峰 许道林 刘孝全 周泽宏 崔玉家 |
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| 作者单位： | 1. 重庆大学输配电装备及系统安全与新技术国家重点实验室,重庆,400030
2. 重庆市电力公司基建部,重庆,400014 |
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| 基金项目： | 国家重点基础研究发展计划(973计划)(2009CB724502); 重庆市电力公司科技项目(2009渝电科技#47)~~ |
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| 摘 要： | 针对目前我同输电线路覆冰断线倒塔事故预测方法的不足,选取重庆市某500 kV送电线路的典型杆塔为研究对象,建立了"三塔两线"形式的塔线体系精细化有限元模型,进行了塔线体系承受覆冰荷载、风荷载多种运行工况下的仿真研究,通过系统研究确定了能最有效反映杆塔运行状态的构件,并详细记录了杆塔关键构件应力值随运行工况参量的变化趋势,通过公式拟合得出严格的数学函数,具体表现为:三层横担鼓型直线杆塔,上、中、下横担主材角钢应力随覆冰厚度的增加呈指数增长.拟合度高达0.986以上,指数范围集中在0.0375～0.0404之间,因杆塔不同部位角钢型号及结构等因素的影响而略有不同;杆塔塔身主材角钢应力与风速呈指数增长,拟合度高达0.99以上,指数范围集中在0.0383～0.0423之间,因覆冰厚度的不同,塔身主材角钢应力曲线构成一组曲线簇,覆冰越厚,应力值相对越大.基于以上结果提出了利用这种特定的数学函数建立数据库,实时查询、比较,给出杆塔运行中的状态,实现覆冰塔线体系事故预测的方法.
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| 关 键 词： | 覆冰 塔线体系 关键构件 预测方法 有限元模型 荷载 应力分析 |
Prediction Method for Accidents of Ice Covered Tower-line System Using the Mechanical Feature of Key Components |
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| YAO Chen-guo , MAO Feng , XU Dao-lin , LIU Xiao-quan , ZHOU Ze-hong , CUI Yu-jia. Prediction Method for Accidents of Ice Covered Tower-line System Using the Mechanical Feature of Key Components[J]. High Voltage Engineering, 2011, 37(2) |
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| Authors: | YAO Chen-guo MAO Feng XU Dao-lin LIU Xiao-quan ZHOU Ze-hong CUI Yu-jia |
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| Affiliation: | YAO Chen-guo1,MAO Feng1,XU Dao-lin2,LIU Xiao-quan2,ZHOU Ze-hong2,CUI Yu-jia2(1.State Key Laboratory of Power Transmission Equipment & System Security and New Technology,Chongqing University,Chongqing 400030,China,2.Construction Department,Chongqing Electric Power Corporation,Chongqing 400014,China) |
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| Abstract: | Transmission lines which have been built and put into operation have different mechanical properties of towers and lines because of their different operating conditions,topography,microclimate and other factors,and these differences would be more prominent under ice condition.When grids were covered by ice in a large area and the power sectors prepared to do ice melting,they could not get data of mechanical properties of ice covered towers and lines exactly and timely,thus the line in the most danger which ... |
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| Keywords: | ice covered tower-line system key components prediction method finite element model load stress analysis |
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