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Multivariate Coastal and Off-Shore Design and Risk Assessment via Copulas at the Arabian Gulf

机译:阿拉伯湾通过Copulas进行的多变量沿海和近岸设计与风险评估

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A frequent statistical problem in many coastal and off-shore engineering situations is to estimate the probability of structural failure expressed in terms of return period and design quantile. Usually, an univariate approach is carried out to quantify the risk of failure. However, coastal and off-shore structures typically fail because of the occurrence of a critical combination of the variables at play in a single sea storm: thus, it may be important to consider the joint occurrence of dangerous conditions. The present paper provides a sensible multivariate analysis of the available wave data at the Arabian Gulf, including a randomization procedure to cope with repeated observations. In addition, suitable strategies for performing multivariate design are presented and discussed.
机译:在许多沿海和近海工程情况下,经常出现的统计问题是估计以返还期和设计分位数表示的结构破坏的可能性。通常,采用单变量方法来量化失败的风险。但是,沿海和近海结构通常会因为在一次海暴中起作用的变量的关键组合的发生而失败:因此,考虑危险条件的共同发生可能很重要。本文提供了对阿拉伯海湾可用海浪数据的明智的多变量分析,包括应对重复观测的随机程序。此外,介绍和讨论了执行多元设计的合适策略。

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