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

我的项目使用多变量极值理论和方法对物理海洋环境的行为进行建模和统计推断，以帮助海洋结构物的设计。描述海洋环境的特征需要联合模拟代表海洋波面、洋流和近地表风场的多个分量的变量的演变。我们还对确定海洋环境对海洋结构物产生的作用力感兴趣。当它们的值很大时，这些环境和结构载荷变量往往对结构完整性构成最大的风险。出于这个原因，我们最感兴趣的是对单个变量在其极端情况下的行为、它们之间的极端依赖关系以及它们在极端事件期间的演变进行建模。该项目汇集了许多领域，包括水动力学和波浪-结构相互作用的模拟。结合极值分析，壳牌和西澳大利亚大学在这些领域的专业知识将为统计方法的发展提供信息，包括环境等值线构建方法，旨在有效和信息地表征多变量分布尾部，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.