重型运输中遇到设计条件的可能性——以韩国至苏伊士运河56次重复航行为例

David P. Hodapp, Stephan den Breejen, Tomasz Pniewski, Hai Ming Wang, Zhen Lin
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引用次数: 0

摘要

重型运输设计的一个关键因素是确定设计波浪条件。由于大多数运输工具都是独一无二的,因此不存在对观测条件和设计条件进行统计上有意义的比较。本文考察了最近一个石油和天然气千兆项目的经验,该项目包括从韩国到苏伊士运河的56次重复航行。在此过程中,本文为评估重型运输过程中超过设计波条件的现实可能性提供了一个锚点。发现56次重复航行的最大波浪条件密切遵循威布尔分布,允许对观测到的1 / n航行极值进行随时评估。这些观测到的波浪情况与相应的设计值在全年和季节性(3个月)的基础上进行比较。从这些比较中可以得出三个重要的结论。首先,重型运输承包商为避免超过预定阈值的波浪而制定的操作限制并不能消除对更高波浪条件的设计需求。在研究的56次重复航行中,在5次单独的航行中,观察到的波浪条件略微超过了承包商自己设定的操作限制(即大约10%或更少);在第六次航行中,大约超过了百分之四十。其次,使用全球波浪统计来评估设计波浪条件的简化工具不能始终如一地估计1 / 10的航行极端。虽然简化的方法对于所研究的路线是保守的,但相关的设计余量在一年中变化很大。第三,SafeTrans航次模拟可以很好地预测所研究航线的十分之一的航次极端情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the Likelihood of Encountering Design Conditions During Heavy Transport - A Case Study of 56 Replicate Voyages From Korea to the Suez Canal
A critical element in heavy transport design is the identification of design wave conditions. Since most transports are one-of-a-kind, statistically meaningful comparisons of observed vs. design conditions are nonexistent. The present paper examines the experience from a recent oil and gas giga-project, encompassing 56 replicate voyages from Korea to the Suez Canal. In doing so, this paper provides an anchor point for assessing the real-world likelihood of exceeding design wave conditions during heavy transport. Voyage maximum wave conditions from the 56 replicate voyages are found to closely follow a Weibull distribution, allowing for the ready evaluation of observed 1-in-N voyage extremes. These observed wave conditions are compared with corresponding design values on both a year-round and seasonal (3-month) basis. Three important observations are drawn from these comparisons. First, operating limits established by heavy transport contractors to avoid waves above a predetermined threshold do not eliminate the need to design for higher wave conditions. Over the 56 replicate voyages studied, observed wave conditions slightly exceeded the contractor's self-imposed operating limit (i.e., by approximately 10% or less) on five separate voyages; on a sixth voyage, this same operating limit was exceeded by approximately 40%. Second, simplified tools for evaluating design wave conditions using Global Wave Statistics do not consistently estimate the 1-in-10 voyage extreme. While the simplified approach is shown to be conservative for the route studied, the associated design margin varies considerably throughout the year. Third, SafeTrans voyage simulations are observed to well-predict the 1-in-10 voyage extreme for the route studied.
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