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Investigation on the probabilistic distribution of mooring line tension for fatigue damage assessment

机译：系泊索拉力评估疲劳损伤概率分布的研究

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This paper is to investigate the applicable probability density functions (PDFs) for the short- and long-term mooring line tension amplitudes to be used for accurately assessing the mooring line fatigue damage with the spectral method. Statistical characteristics of the mooring line tensions were investigated, in which kurtosis and skewness were computed and compared to validate the non-normality of the line tension response. Several PDFs, including Rayleigh, GEV, and Gamma distributions, are used to express the short-term statistical distribution of the mooring line tension amplitudes. Results indicate that the Gamma distribution can give much better fitting than the Rayleigh and GEV distributions. In order to identify the long-term distribution of the tension amplitudes, the Gamma distribution is modified by bringing in a location parameter. Compared with the generally used Weibull distribution, the modified Gamma distribution can characterize the long-term PDF of the tension amplitudes much better. Moreover, the modified Gamma distribution can give much more accurate assessment of the mooring line fatigue damage than the Weibull distribution. (C) 2016 Elsevier Ltd. All rights reserved.
机译：本文旨在研究适用于短期和长期系泊缆线张力幅度的适用概率密度函数（PDF），以使用光谱法准确评估系泊缆线疲劳损伤。研究了系泊缆索张力的统计特征，计算了峰度和偏度并进行了比较，以验证缆索张力响应的非正态性。几个PDF（包括Rayleigh，GEV和Gamma分布）用于表示系泊缆线张力幅度的短期统计分布。结果表明，与瑞利和GEV分布相比，Gamma分布可以提供更好的拟合度。为了确定张力幅度的长期分布，可通过引入位置参数来修改Gamma分布。与通常使用的威布尔分布相比，修改后的伽玛分布可以更好地表征张力幅值的长期PDF。此外，与Weibull分布相比，修改后的Gamma分布可以更准确地评估系泊缆绳的疲劳损伤。 （C）2016 Elsevier Ltd.保留所有权利。

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