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Field measurement of near-surface typhoon characteristics using a smart monitoring system on a long-span arch bridge site

机译:使用智能监控系统在长跨度拱桥网站上使用智能监控系统的近表面台风特性的现场测量

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摘要

During landfall of Typhoon Haikui in Eastern China in 2012, ground level wind data were recorded using a smart monitoring system installed on JiuBao Bridge in Hangzhou, China. This article documents the mean flow and turbulence characteristics from data recorded during the storm. The results show that both turbulence intensity and gust factor decrease with the increase in the mean wind velocity. However, as the mean wind velocity increases, this trend gradually attenuates. The peak factor distribution with gust averaging time duration derived with the Typhoon Haikui data agrees well with the Durst curve. However, the longitudinal gust factor derived from the typhoon wind-speed record in this study is higher compared with the curves proposed by Durst and Krayer-Marshall. Analyses of the gust factor distribution with the turbulence intensity during the passage of the storm reveal a similarity to the empirical curves of Ishizaki and Choi. Results show that the relationship between lateral turbulence and gust factors can be well represented by a quadratic polynomial. Turbulence scale increased with mean wind velocity. The values of autocorrelation coefficients in longitudinal direction are larger than those in lateral direction. There has no obvious dependency of cross-correlation coefficients with mean wind velocity. In general, the wind characteristics in this study are shown to be very similar to those of winds under normal circumstance.
机译:在2012年东部地区台风海康的登陆期间,使用杭州九宝桥上的智能监控系统记录地面风数据。本文记录了风暴期间记录的数据的平均流量和湍流特性。结果表明,湍流强度和阵风因子随着平均风速的增加而降低。然而,随着平均风速增加,这种趋势逐渐减弱。具有阵风平均时间持续时间的峰值因子分布与Typhoon Haikui数据的持续时间与DURST曲线相一致。然而,与Durst和Krayer-Marshall提出的曲线相比,源自该研究中的台风风速记录的纵向仪表较高。风暴通道期间与湍流强度的阵风因子分布的分析揭示了Ishizaki和Choi的实证曲线的相似性。结果表明,横向湍流与阵风因子之间的关系可以通过二次多项式良好地表示。湍流尺度随着均值的风速而增加。纵向的自相关系数的值大于横向方向的值。互相关系数与平均风速没有明显依赖性。通常,本研究中的风特性被证明与正常情况下的风相似。

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