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Perturbation methods for the reliability analysis of wind-turbine blade failure due to flutter

机译:扰动引起风轮机叶片故障可靠性分析的摄动方法

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A new reliability framework is proposed to study the influence of uncertainty in various system parameters on the onset of coupled-mode flutter for large wind turbine blades. This study is the first comprehensive example of application of reliability analysis to wind turbine blade instability, affected by various sources of uncertainty. The randomness in flow forces, through a random lift coefficient, and in the structural properties is investigated. The probability of flutter is estimated using a recursive search procedure and four reliability models: First Order Reliability Method (FORM), First Order Reliability Method including the effect of unsteadiness in, the aeroelastic loads (FORM-C), Second Order Reliability Method (SORM) and Weighted Average Reliability Method (WARM). Flutter probabilities are compared against the results of Monte Carlo simulations. All methods provide accurate probability approximation in regions close to the mean value of the critical flutter speed and flutter frequency. Among the four methods, the WARM provides the closest approximation to the Monte Carlo simulations in all regions of the variables. It is shown that failure probabilities can be found through an iterative procedure, which could be converted to a simplified formula in future standards for the design of wind turbine blades. (C) 2016 Elsevier Ltd. All rights reserved.
机译:提出了一个新的可靠性框架,以研究各种系统参数中的不确定性对大型风力涡轮机叶片耦合模颤振的影响。这项研究是将可靠性分析应用于受各种不确定性因素影响的风力涡轮机叶片不稳定性的第一个综合示例。通过随机升力系数和结构特性研究了流动力的随机性。使用递归搜索过程和四个可靠性模型来估计颤动的可能性:一阶可靠性方法(FORM),一阶可靠性方法(包括不稳定性的影响),气动弹性载荷(FORM-C),二阶可靠性方法(SORM) )和加权平均可靠性方法(WARM)。将颤振概率与蒙特卡洛模拟的结果进行比较。所有方法都在接近临界颤动速度和颤动频率平均值的区域中提供了准确的概率近似值。在这四种方法中,WARM在变量的所有区域中提供与蒙特卡洛模拟最接近的近似值。结果表明,可以通过迭代过程找到故障概率,可以在未来的风力涡轮机叶片设计标准中将其转换为简化公式。 (C)2016 Elsevier Ltd.保留所有权利。

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