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

提案ID：1558366 PI：Klewicki，Joseph提案寻求资金，用于支付将于2015年11月19-20日在新汉普郡大学校园举办的名为？UNH/IAM推进壁面湍流模型开发和实施研讨会？的部分费用。虽然湍流是工程中的一个老问题，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是湍流的(例如，大气边界层、海洋中的流动、化学过程中的流动等)。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，这使得能够以前所未有的详细程度表征湍流边界层的时间和空间结构。这些进展可能进一步导致我们有能力控制湍流，对能源消耗、污染物产生和扩散、交通运输和气候变化产生深远影响。研讨会的重点将放在非常活跃的研究领域，包括：一)精确相干结构；二)数据信息稀疏表示法；三)准线性化模型；四)渐近简化的偏微分方程模型。研讨会的一个目标是更深入地了解最近在这些领域制定的各种建模策略是如何切实实施的。这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其基于实验和/或计算的研究如何有效地与模型的开发和实施相联系。

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.