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System identification and reliability assessment of an industrial chimney under wind loading

机译:风荷载下工业烟囱的系统辨识与可靠性评估

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This study presents the reliability assessment of a 100.5 m tall reinforced concrete chimney at a glass factory under wind loading by using vibration-based identified modal values. Ambient vibration measurements were recorded and modal values such as frequencies, shapes and damping ratios were identified by using Enhanced Frequency Domain Decomposition (EFDD) method. Afterwards, Finite Element Model (FEM) of the chimney was verified based on identified modal parameters. Reliability assessment of the chimney under wind loading was performed by obtaining the exceedance probability of demand to capacity distribution. Demand distribution of the chimney was developed under repetitive seeds of multivariate stochastic wind fields generated along the height of chimney. Capacity distribution of the chimney was developed by Monte Carlo simulation. Finally, it was found that reliability of the chimney is lower than code suggested limit values.
机译:这项研究通过使用基于振动的模态值,提出了在风荷载下玻璃工厂的100.5 m高钢筋混凝土烟囱的可靠性评估。记录环境振动测量值,并使用增强频域分解(EFDD)方法识别模态值,例如频率,形状和阻尼比。之后,根据确定的模态参数验证烟囱的有限元模型(FEM)。烟囱在风荷载下的可靠性评估是通过获得需求超过容量分布的概率来进行的。烟囱的需求分布是在沿烟囱高度生成的多元随机风场的重复种子下开发的。烟囱的容量分布是通过蒙特卡洛模拟开发的。最后,发现烟囱的可靠性低于代码建议的极限值。

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