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Uncertainty Modeling and Fatigue Reliability Assessment of Concrete Gravity Based Foundation for Offshore Wind Turbines

机译:基于混凝土重力的海上风力发电机基础的不确定度建模和疲劳可靠性评估

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Evaluation of the fatigue limit state (FLS) for offshore wind turbine foundations is normally based on deterministic design approaches, where partial safety factors are used to account for load and resistance uncertainties. In this paper, the propagation of uncertainties related to structural, environmental and fatigue damage model parameters is evaluated by performing Monte Carlo fatigue simulations of a reference Gravity Based Foundation (GBF) supporting a 5 MW offshore wind turbine. A linear model for concrete fatigue damage is formulated based on the S-N approach, and fatigue structural reliability is evaluated using the FORM technique. Results indicate that the uncertainty related to wind turbulence intensity has the highest influence on fatigue loads during power production. Adopting a probabilistic damage model for concrete also increases the fatigue damage standard deviation by 60% and 85% for structures in water and in air, respectively. In addition, the assumption on Miner’s rule uncertainty has a large influence on the structural reliability. A reduction of this uncertainty from ΔCOV=0.40 to ΔCOV=0.30 could increase the annual reliability index by 22%.
机译:海上风力发电机基础的疲劳极限状态(FLS)评估通常基于确定性设计方法,其中使用部分安全系数来考虑载荷和阻力的不确定性。在本文中,通过对支持5兆瓦海上风力发电机的参考重力基础(GBF)进行蒙特卡洛疲劳模拟,评估了与结构,环境和疲劳损伤模型参数有关的不确定性的传播。基于S-N方法,建立了混凝土疲劳损伤的线性模型,并使用FORM技术评估了疲劳结构的可靠性。结果表明,与风湍流强度有关的不确定性对发电过程中的疲劳载荷影响最大。对混凝土采用概率损伤模型,对于水和空气中的结构,其疲劳损伤标准偏差也分别增加了60%和85%。另外,关于Miner规则不确定性的假设对结构可靠性有很大影响。将该不确定性从ΔCOV= 0.40降低到ΔCOV= 0.30,可以使年度可靠性指标提高22%。

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