随机风场研究与高耸、高层结构抗风可靠性分析
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摘要
由于生成机理、传播路径等因素的不可控制性,导致脉动风速具有明显的随机性。现有研究方法,如随机过程理论和随机振动理论,很难正确地分析随机风场作用下高耸、高层结构的动力可靠性。鉴于此,本文基于物理随机系统的基本观念,深入开展了随机风场的研究和高耸、高层结构的抗风动力可靠性研究。
     年最大平均风速的概率信息是风工程领域内的重要数据。本文采用中国大陆地区740个气象站点历时52年的平均风速观测资料,分别应用数理统计方法和概率密度演化方法,获得了各站点处的年最大平均风速二阶矩信息和部分典型气象站点年最大平均风速的概率密度分布,绘制了我国大陆地区年最大平均风速均值及其标准差的等值线图,为我国的结构抗风设计、分析提供了重要的数据支持。
     论文首次开展了基于物理的随机风场研究,即从随机样本的角度出发,提出并建立了风场的随机Fourier谱模型。实例表明,这一模型不仅可以很好地反映风场的随机性特征,而且可以方便地应用于实际工程之中。
     风荷载的模拟是进行结构抗风分析的必要基础。基于谐波叠加理论,研究并建立了基于随机Fourier谱的脉动风场数值仿真技术。通过研究表明,该技术计算生成的脉动风场不仅可以表征随机风场在时域上的随机特性,而且可以反映具体风环境的影响。
     如何在有限元模型中正确反映输电塔与导线问的复杂耦联作用是准确计算结构随机风振响应和动力可靠度所必需解决的问题。借助有限元软件ANSYS,建立了三维精细化的输电塔—线耦联体系模型。基于风振响应分析的准定常理论,进行了不同模型的风振响应对比分析,证明采用三塔两线模型可以获得足够的计算精度,满足结构分析要求。
     近年来,本研究梯队所发展的概率密度演化方法和等价极值事件原理,可以用来准确计算考虑复杂失效准则下的结构动力可靠度。应用这些方法,分别计算了江苏500kV输电线路西二通道SZT26输电塔—线耦联体系和上海环球金融中心的抗风动力可靠度,实现了高耸、高层结构抗风动力可靠性的精细化分
Randomness, which is caused by the uncontrollability of its creation mechanism, transmission path, etc., is characteristic of wind turbulent fluctuation. It is very difficult for current research methods, such as random process theory and random vibration theory, to correctly analyze the dynamic reliability of high-rise buildings subjected to wind stochastic field. Herein, researches on wind stochastic field and the dynamic reliability of wind-excited high-rise buildings are carried on thoroughly based on the basic idea of physical random system.
    Probabilistic information of yearly maximum average value of the wind velocity (V|-)_(wind) is an important element in the field of wind engineering. This dissertation adopts the observed data of the mean wind velocity of 740 weather stations located in the Chinese Mainland from 1951 to 2002. And the second-order moment information of (V|-)_(wind) of these weather stations and the probability density distribution of some typical weather stations are computed by the mathematical statistics and the probability density evolution method, respectively. Besides, the contour maps of the mean and standard deviation of (V|-)_(wind) of the Chinese Mainland are presented, which will provide the significant data support for structural wind-resistant design and analysis.
    Physical research on the wind stochastic field is carried on for the first time in this dissertation. From the standpoint of random sample, stochastic Fourier spectrum model of wind field is proposed. It is demonstrated by examples that this model can not only reflect the random characteristics of wind field, but also be conveniently applied to real engineering projects.
    Simulation of wind loading is a prerequisite in structural wind-resistant analysis. Referring to the theory of harmonic superposition, a numerical simulation technique based on the stochastic Fourier spectrum is come up with and proposed. It is proved that the turbulent wind field generated by this technique can reflect both the random characteristics of the wind stochastic field in time domain and the influence of a
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