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Safety-factor Calibration For Wind Turbine Extreme Loads

机译:风力涡轮机极限载荷的安全系数校准

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摘要

Proper prediction of long-term extreme values for operating wind turbine loads and deflections is a critical component of wind turbine design. Direct observations or simulations of long-term extremes are not yet available; therefore, these predictions rely on some combination of large numbers of simulations and extrapolation. Extrapolation methods themselves can have significant uncertainty, and they also require that the wind turbine designer have a greater level of statistical expertise-factors that make the methods less attractive for industrial application. As an alternative to extrapolation, safety factors can be calibrated using techniques that allow designers to use smaller data sets. To calculate such factors, a series of simulations was used to extrapolate 50 year extreme values for a 5 MW wind turbine. Two methods are proposed for calculating such safety factors: one based on the mean and standard deviation of extreme values, and one based on the median of extreme values. Through a process of random sampling without replacement, the safety factor based on the median of extreme values was found to be less variable and also more independent of the number of simulations. The safety factors required were as large as 1.7, or were only 1.25 if rotor thrust loads were considered the dominant design drivers.
机译:正确预测运行中的风机负载和挠度的长期极值是风机设计的关键组成部分。尚无直接观察或对长期极端现象的模拟;因此,这些预测依赖于大量模拟和外推的某种组合。外推方法本身可能具有很大的不确定性,并且还要求风力涡轮机设计人员具有更高水平的统计专业知识因素,这会使方法对工业应用的吸引力降低。作为推断的替代方法,可以使用允许设计人员使用较小数据集的技术来校准安全系数。为了计算这些因素,使用了一系列模拟来推断5兆瓦风力涡轮机的50年极值。提出了两种方法来计算此类安全系数:一种基于极值的均值和标准差,另一种基于极值的中位数。通过不进行替换的随机抽样过程,发现基于极值中位数的安全系数变化较小,并且与仿真次数无关。所需的安全系数高达1.7,如果将转子推力负载视为主要的设计驱动力,则只有1.25的安全系数。

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