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Improved environmental contour methods based on an optimization of hybrid models

机译:基于混合模型的优化改进的环境轮廓方法

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Estimation of the extreme values of ship and offshore platform responses such as bending moment and mooring tension is important in terms of structural design. Among several such methods, long-term and short-term analyses normally have been used in the industry. In general, long-term relative to short-term analysis is more precise but more time-consuming, because it takes into account all observed sea states. The environmental contour method, which performs a short-term analysis under a few important environmental conditions with an accuracy similar to that of long-term analysis, has been used as an alternative approach. There are several joint distribution models of significant wave height and peak period for environmental contour lines, but it is not known exactly which model most accurately represents actual environmental conditions. A marginal distribution of H-s and a conditional distribution of T-p, which generally are recommended in the rules and standards, have difficulties in drawing contour lines depending on the field. For the three-parameter Weibull distribution of H-s, a proper parameter estimation method should be selected among the several methods according to the observed data, and the distribution parameter of T-p has too little data to fit the given model. Another marginal distribution model is a bivariate lonowe (LOgNOrmal and WEibull) hybrid model of H-s with two distributions that allow for easy and unique estimation of parameters from any data [1]. The process of obtaining the distribution parameters from the existing hybrid model is clarified through the optimization process presented in this paper. And outlier technique is adopted to reduce the influence of some atypical data caused by small samples and, thereby, improve the accuracy of the T-p fitted result. The contour line through this proposed procedure predicts the extreme value similarly to the three-parameter Weibull distribution model, but it can be rather easily drawn. It is shown that the procedure proposed in this paper can be an effective method for drawing of environmental contour lines using any observed sea states.
机译:在结构设计方面,估计船舶和海上平台响应的极端值,如弯矩和系泊张力,这是重要的。在几种这些方法中,通常在该行业中使用长期和短期分析。一般来说,相对于短期分析的长期更精确但更耗时,因为它考虑了所有观察到的海州。环境轮廓方法,在几个重要的环境条件下执行短期分析,其精度类似于长期分析的准确性,已被用作替代方法。有几种显着波浪高度和环境轮廓线的高峰期的联合分布模型,但是究竟知道哪种模型最准确地代表实际的环境条件。 H-S的边缘分布和T-P的条件分布,通常在规则和标准中建议,根据该领域的绘制轮廓线具有困难。对于H-S的三个参数Weibull分布,应在根据观察到的数据的几种方法中选择适当的参数估计方法,T-P的分布参数具有太少的数据来适合给定的模型。另一个边缘分布模型是H-S的二抗体LonOW(Lognormal和Weibull)混合模型,其具有两个分布,允许从任何数据的任何数据易于统计参数[1]。通过本文中提出的优化过程阐明了从现有的混合模型获得分布参数的过程。采用异常技术来减少由小型样品引起的一些非典型数据的影响,从而提高了T-P拟合结果的准确性。通过此提出的过程的轮廓线类似地预测到三参数Weibull分布模型的极值,但可以相当容易地绘制。结果表明,本文提出的程序可以使用任何观察到的海州绘制环境轮廓线的有效方法。

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