雷旭, 付兴, 肖凯, 汪佳, 聂铭, 李宏男, 谢文平. 强风作用下输电塔结构不确定性倒塌分析[J]. 中国电机工程学报, 2018, 38(S1): 266-274. DOI: 10.13334/j.0258-8013.pcsee.180665
引用本文: 雷旭, 付兴, 肖凯, 汪佳, 聂铭, 李宏男, 谢文平. 强风作用下输电塔结构不确定性倒塌分析[J]. 中国电机工程学报, 2018, 38(S1): 266-274. DOI: 10.13334/j.0258-8013.pcsee.180665
LEI Xu, FU Xing, XIAO Kai, WANG Jia, NIE Ming, LI Hongnan, XIE Wenping. Failure Analysis of a Transmission Tower Subjected to Wind Load Using Uncertainty Method[J]. Proceedings of the CSEE, 2018, 38(S1): 266-274. DOI: 10.13334/j.0258-8013.pcsee.180665
Citation: LEI Xu, FU Xing, XIAO Kai, WANG Jia, NIE Ming, LI Hongnan, XIE Wenping. Failure Analysis of a Transmission Tower Subjected to Wind Load Using Uncertainty Method[J]. Proceedings of the CSEE, 2018, 38(S1): 266-274. DOI: 10.13334/j.0258-8013.pcsee.180665

强风作用下输电塔结构不确定性倒塌分析

Failure Analysis of a Transmission Tower Subjected to Wind Load Using Uncertainty Method

  • 摘要: 为研究各不确定性因素对输电塔结构抗风承载能力的影响,该文提出一种不确定性倒塌分析方法。首先采用拉丁超立方抽样生成的随机样本建立结构不确定性仿真模型,完成所有不确定性模型的非线性静力推覆分析,采用对数正态分布函数拟合铁塔临界倒塌风速及对应的塔顶位移,进而研究风攻角对结构易损性曲线和倒塌失效路径的影响。研究结果表明,确定性倒塌分析高估输电塔结构的抗风承载力,且风攻角对结构的易损性曲线和倒塌失效路径均有很大影响。

     

    Abstract: In order to study the influence of various uncertain factors on the wind-resistant performance of transmission towers, an uncertainty analysis method for tower structures subjected to wind loads was presented. At first,random samples were generated based on the Latin hypercube sampling(LHS) technique and then used to establish uncertain finite element models(UFEMs) for transmission towers, on the basis, the static non-linear buckling analysis for all UFEMs subjected to wind loads was conducted. After that the fragility curves of the collapse basic wind speed and corresponding collapsed-tower tip displacement were fitted with the lognormal distribution. At last the influence of wind attack angle on the fragility curves and failure paths of tower body were discussed. The results indicates that the deterministic tower model overestimates the wind-resistant performance of transmission tower, and the wind attack angle has a great influence on fragility curves and failure paths.

     

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