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UNCERTAINTY OF ENVIRONMENTAL CONTOURS DUE TO SAMPLING VARIABILITY

机译:抽样变异导致的环境轮廓不确定性

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Environmental contours are commonly applied in design of marine structures to identify extreme environmental conditions that may give rise to extreme loads and responses. Recently, there has been some focus on the fact that different methods exist for establishing such contours, and that in some cases significant differences may be obtained from the different methods. In this study, we address another uncertainty related to the calculation of environmental contours, namely the uncertainty due to sampling variability when constructing environmental contours based on metocean data of finite sample size. The uncertainty of environmental contours for joint distribution of significant wave height and wave period for different sample sizes (10, 20, 30 and 100 years of data) are investigated considering different underlying datasets. Both cases where samples are drawn from a known joint distribution of wave height and periods and cases where samples are drawn from a real hindcast dataset and fitted to the joint distribution are considered. The uncertainty of the estimated contours is quantified and discussed in light of differences that can be anticipated from the different methods used to calculate the contours.
机译:环境轮廓通常用于海洋结构的设计中,以识别可能引起极端载荷和响应的极端环境条件。近来,已经集中在以下事实上:存在用于建立这种轮廓的不同方法,并且在某些情况下,可以从不同方法获得显着差异。在这项研究中,我们解决了另一个与环境等值线计算有关的不确定性,即基于有限样本量的海洋数据构造环境等值线时由于采样变异性导致的不确定性。考虑到不同的基础数据集,研究了不同样本大小(10、20、30和100年数据)的重要波高和波周期联合分布的环境轮廓的不确定性。两种情况都是从已知的波高和周期的联合分布中提取样本,而样本是从真实的后播数据集中提取并拟合到联合分布中的情况。根据可以从用于计算轮廓的不同方法中预期到的差异,对估计轮廓的不确定性进行量化和讨论。

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