Multivariate extremes of the ocean environment driving extremes in responses for ocean-structure interactions.

我的项目使用多元极值理论和方法来建模，并对物理海洋环境的行为进行统计推断，以帮助海洋结构的设计。要确定海洋环境的特征，就需要对代表海浪表面、海流和近地表风场多个组成部分的变量的演变进行联合建模。我们还对确定海洋环境对海洋结构物的作用力感兴趣。当这些环境和结构荷载变量的值较大时，它们通常会对结构完整性造成最大的风险。出于这个原因，我们最感兴趣的是模拟单个变量在极端情况下的行为，它们之间的极端依赖关系以及它们在极端事件中的演变。该项目汇集了一些领域，包括流体力学和波浪-结构相互作用的建模。壳牌和西澳大学在这些领域的专业知识与极值分析相结合，将为统计方法的开发提供信息，包括环境等高线构建方法，旨在有效和信息化地分析分布的多变量尾部，以改进海洋设计。与壳牌和西澳大利亚大学合作。

My project uses multivariate extreme value theory and methods to model and make statistical inferences about the behaviour of the physical ocean environment, in order to aid the design of marine structures. Characterising the ocean environment requires jointly modelling the evolution of variables representing multiple components of ocean wave surfaces, currents and near-surface wind fields. We are also interested in determining the forces induced on marine structures by the ocean environment. These environmental and structural loading variables often pose the greatest risk to structural integrity when their values are large. For this reason, we are most interested in modelling the behaviour of individual variables in their extremes, the extremal dependence between them, and their evolution during extreme events. The project brings together a number of fields, including hydrodynamics and modelling of wave-structure interactions. Combined with extreme value analysis, expertise in these areas from Shell and the University of Western Australia will inform the development of statistical methodologies including environmental contour construction methods, which aim to characterise multivariate tails of distributions efficiently and informatively for improved marine design. In partnership with Shell and the University of Western Australia.