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Structural reliability assessment of offshore wind turbine support structures subjected to pitting corrosion-fatigue: A damage tolerance modelling approach

机译:近海上风力涡轮机支撑结构的结构可靠性评估蚀腐蚀 - 疲劳 - 损伤耐受性建模方法

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The structural integrity of offshore wind turbine (OWT) support structures is affected by one of the most severe damage mechanisms known as pitting corrosion-fatigue. In this study, the structural reliability of such structures subjected to pitting corrosion-fatigue is assessed using a damage tolerance modelling approach. A probabilistic model that ascertains the reliability of the structure is presented, incorporating the randomness in cyclic load and corrosive environment as well as uncertainties in shape factor, pit size and aspect ratio. A non-intrusive formulation is proposed consisting of a sequence of steps. First, a stochastic parametric Finite Element Analysis (FEA) is performed using SMART (c) crack growth and Design Xplorer (c) facilities within the software package ANSYS. Secondly, the results obtained from the FEA are processed using an Artificial Neural Network (ANN) response surface modelling technique. Finally, the First Order Reliability Method (FORM) is used to calculate the reliability indices of components. The results reveal that for the inherent stochastic conditions, the structure becomes unsafe after the 18th year, before the attainment of the design life of 20 years. The FEA results are in very good agreement with results obtained from analysis steps outlined in design standard BS 7910 and other references designated as 'theoretical analysis methods' in this study. The results predict, for the case study, that the pit growth life is approximately 56% of the total pitting corrosion fatigue life. Sensitivity analysis results show that the aspect ratio of pits at critical size plays a significant role on the reliability of the structure.
机译:海上风力涡轮机(OWT)支撑结构的结构完整性受到称为蚀腐蚀 - 疲劳的最严重损伤机制之一的影响。在这项研究中,使用损坏容差建模方法评估对蚀腐蚀 - 疲劳进行蚀腐蚀的这种结构的结构可靠性。提出了一种确定结构可靠性的概率模型,包括循环负载和腐蚀性环境中的随机性以及形状因子,凹坑尺寸和纵横比的不确定性。提出由一系列步骤组成的非侵入式制剂。首先,使用软件包ANSYS内的智能(C)裂缝生长和设计XPlorer(C)设施进行随机参数有限元分析(FEA)。其次,使用人工神经网络(ANN)响应表面建模技术处理从FEA获得的结果。最后,使用第一订单可靠性方法(表单)来计算组件的可靠性指标。结果表明,对于固有的随机条件,结构在第18年后的不安全,在实现20年的设计寿命之前。 FEA结果与从设计标准BS 7910中概述的分析步骤和本研究指定为“理论分析方法”的其他参考文献获得的结果非常好。对于案例研究,结果预测,坑生长寿命约占蚀腐蚀疲劳寿命的56%。敏感性分析结果表明,临界大小在临界大小的纵横比对结构的可靠性起着重要作用。

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