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Stochastic dynamic stiffness of a surface footing for offshore wind turbines: Implementing a subset simulation method to estimate rare events

机译:海上风力涡轮机表面基础的随机动态刚度:实施子集仿真方法以估计罕见事件

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The purpose of this study, which concerns the stochastic dynamic stiffness of foundations for large offshore wind turbines, is to quantify uncertainties related to the first natural frequency of a turbine supported by a surface footing and to estimate the low event probabilities. Herein, a simple model of a wind turbine structure with equivalent coupled springs at the base is calibrated with the mean soil property values. A semianalytical solution, based on the Green's function for a layered half-space is utilized for estimation of foundation responses. Soil elastic modulus and layer depth are considered as random variables with lognormal distributions. The uncertainties are quantified, and the estimation of rare events of the first natural frequency is discussed through an advanced reliability approach based on subset simulation. This analysis represents a first step in the estimation of the safety with respect to the failure of a turbine in the fatigue limit state. (C) 2014 Elsevier Ltd. All rights reserved.
机译:这项研究的目的涉及大型海上风力涡轮机的地基的随机动态刚度,其目的是量化与地面立足支撑的涡轮机的第一自然频率有关的不确定性,并估计低事件概率。在此,用平均土壤特性值校准了在底部具有等效耦合弹簧的风力涡轮机结构的简单模型。基于格林函数的分层半空间的半解析解用于基础响应的估计。土壤弹性模量和层深度被认为是具有对数正态分布的随机变量。量化不确定性,并通过基于子集仿真的高级可靠性方法讨论了第一自然频率的稀有事件的估计。该分析代表了针对疲劳极限状态下的涡轮机故障进行安全性评估的第一步。 (C)2014 Elsevier Ltd.保留所有权利。

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