UNH/IAM Workshop on Advancing Wall-Turbulence Model Development and Implementation, University of New Hampshire

提案ID: 1558366 PI: Klewicki， joseph该提案寻求资金以部分支付与组织研讨会有关的费用，该研讨会名为？联合国卫生组织/IAM推进壁面湍流模型开发和实施研讨会？，将于2015年11月19日至20日在新罕布什尔大学校园举行。虽然湍流是一个古老的工程问题，但它是工业和环境中最重要的实际问题之一，因为我们周围的大多数流动都是湍流的（例如，大气边界层，海洋流动，化学过程等）。然而，在过去的十年中，在实验和模拟方面取得了变革性的进展，这些进展使我们能够以前所未有的细节水平表征湍流边界层的时空结构。这些进步可以进一步使我们有能力控制对能源消耗、污染物产生和扩散、交通和气候变化产生深远影响的湍流。研讨会的重点将放在研究非常活跃的领域，包括i)精确连贯结构；ii)数据告知稀疏表示；iii)拟线性化模型和iv)渐近约化PDE模型。研讨会的一个目标是促进对最近在这些领域中开发的各种建模策略是如何实际实现的细节的更深入的理解。它将为冗长和公开的讨论提供充分的机会，这将有助于非专家了解他们的实验和/或基于计算的研究如何有效地与模型开发和实施联系起来。

Proposal ID: 1558366 PI: Klewicki, JosephThe proposal seeks funds to partially cover expenses related to the organization of the workshop entitled ?UNH/IAM Workshop on Advancing Wall-Turbulence Model Development and Implementation?, to be held at the campus of the University of New Hampshire, in November 19-20, 2015.While turbulence is an old problem in engineering, it is one of the most important practical problems in both the industry and the environment, since the majority of flows around us are turbulent (e.g., atmospheric boundary layer, flows in oceans, in chemical processes, etc). During the past decade, however, there have been transformational advances in experimentation and simulation, and these have led to the capacity to characterize the temporal and spatial structure of turbulent boundary layers at unprecedented levels of detail. These advances can further lead to our ability to control turbulence with profound impact in energy consumption, pollutant generation and dispersion, transportation and climate change. The focus of the workshop will be on areas that are very research active, including i) Exact Coherent Structures; ii) Data Informed Sparse Representations; iii) Quasi-linearized Models, and iv) Asymptotically Reduced PDE Models. A goal of the workshop is to advance a deeper understanding of the details of how the various modeling strategies developed recently in these areas are pragmatically implemented. It would provide ample opportunities for lengthy and open discussions that will usefully facilitate the understanding by the non-experts on how their experiment and/or computation based research might usefully connect to model development and implementation.