风荷载作用下输电塔结构动力可靠度分析
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摘要
介绍一种新的随机结构分析方法-概率密度演化方法,以及基于该方法的动力可靠度分析方法.为 了实现其在风工程中的应用,从随机Fourier谱的思想出发,阐述了随机风场具有随机性的物理本质,给出 了两个基本随机变量-地面粗糙度z0和10 m高平均风速U10服从的概率密度函数.最后,应用概率密度演 化方法对某输电塔结构受风荷载作用下的动力可靠度进行了分析,并将分析结果同随机模拟方法计算得到 的结果进行比较.算例证明,概率密度演化方法可以准确、有效地分析风荷载作用下输电塔结构的动力可 靠度.
A new stochastic structure analysis method, that is, probability density evolution method (PDEM) , is introduced firstly. Then, in order to apply it in the wind engineering, the idea of the stochastic Fourier spectrum is used to disclose the physical essence of the randomness of the wind field. Meantime, two basic random variables, that is, the roughness length z0 and the mean wind velocity at 10 m height U10, as well as their probability density functions (PDF) , are obtained. Finally, the PDEM is applied in the dynamic reliability analysis of a transmission tower subjected to the wind loading. The comparisons with the Monte Carlo simulations are carried out, which demonstrate the PDEM can be applied in the wind engineering accurately and efficiently.
引文
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