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

提案ID：1558366 PI：Klewicki，JosephThe提案寻求资金，以部分支付与组织题为？UNH/IAM推进壁湍流模型开发和实施研讨会，虽然湍流是工程中的老问题，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、海洋中的流动、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，这些进展导致了以前所未有的细节水平表征湍流边界层的时空结构的能力。这些进步可以进一步提高我们控制湍流的能力，对能源消耗、污染物的产生和扩散、运输和气候变化产生深远影响。研讨会的重点将放在研究非常活跃的领域，包括i）精确相干结构; ii）数据信息稀疏表示; iii）准线性化模型; iv）渐近简化PDE模型。研讨会的目标是推进对这些领域最近开发的各种建模策略如何务实地实现的细节的更深入理解。它将提供充分的机会进行长时间的公开讨论，这将有助于促进非专家了解他们的实验和/或基于计算的研究如何有效地连接到模型的开发和实施。

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.