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Component-based fragility analysis of transmission towers subjected to hurricane wind load

机译:基于组分的传动塔脆性分析,经过飓风风荷载

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The fragility model of transmission towers is one of the key elements for the hurricane risk and resilience assessment of regional power utility infrastructure. The current methods for fragility curve assessment of transmission towers rely on either static analysis or dynamic analysis with simplified demand parameters and limit state functions. The details of tower connections, such as joint eccentricities, rotational stiffness and slippage are often overlooked in fragility analyses due to the associated complexity of modeling and large computational effort. The purpose of this study is to model the realistic performance of transmission towers under hurricanes and develop a fragility curve estimation framework balancing between accuracy and efficiency. The correlated multivariate wind load time histories on the tower are simulated, and the load transferred from the cables to the cross-arms of the tower are generated using an effective analytical model. Two types of three dimensional finite element models of transmission towers are developed in the OpenSees platform. One is a complex model with all the joint details, which requires a very large computational effort to conduct nonlinear dynamic analyses, and the other one is a simple model without all the joint details, which is more computationally efficient. A small-scale dynamic probabilistic simulation with the two models is conducted, and a method to replace the complex model with the simple model is developed and validated. Using a high-performance computing cluster, medium-scale nonlinear dynamic time history analyses are carried out to obtain the demands of individual structural members and their correlation. Component-level failures are obtained via largescale numerical simulations and are linked to global collapse of the tower through element removal and progressive collapse analyses. A case study of two transmission towers under hurricane is carried out. The results indicate that, compared to a traditional tip displacement method, the proposed component-based method with detail driven finite element model and large-scale simulations leads to a more accurate assessment of the transmission tower fragility curve.
机译:传动塔的脆弱模型是区域电力公用事业基础设施的飓风风险和恢复性评估的关键要素之一。传输塔的脆弱曲线评估目前的方法依赖于静态分析或动态分析,简化的需求参数和限制状态函数。由于建模和大型计算努力的相关性复杂性,塔架连接的细节通常在脆弱性分析中常被忽视。本研究的目的是模拟飓风下传输塔的现实性能,并在准确性和效率之间开发脆弱曲线估计框架平衡。模拟塔上的相关多变量风负荷时间历史,并且使用有效的分析模型产生从电缆转移到塔架的横臂的负载。开放式平台开发了两种类型的传动塔的三维有限元模型。一个是具有所有联合细节的复杂模型,这需要一个非常大的计算工作来进行非线性动态分析,另一个是一个简单的模型,没有所有联合细节,这是更加计算的。开发并验证了具有两种模型的小规模动态概率模拟,并通过简单模型更换复杂模型的方法。使用高性能计算集群,进行中型非线性动态时间历史分析,以获得各个结构构件的需求及其相关性。通过大型数值模拟获得组件级故障,并通过元素移除和逐渐折叠分析与塔的全球崩溃相关联。进行了对飓风下两个传动塔的案例研究。结果表明,与传统的尖端位移方法相比,具有细节驱动的有限元模型和大规模模拟的所提出的基于组件的方法导致传输塔脆弱曲线的更准确评估。

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