High Reynolds Number Boundary Layer Turbulence: Integrating Descriptions of Statistical Structure, Scaling and Dynamical Evolution at Univ of New Hampshire, Nov 20-22, 2013.

[1359025 . klewicki]在过去的十年中，湍流实验和模拟取得了革命性的进展，这使得研究湍流边界层的详细时空结构具有了前所未有的能力。此外，全球最近开发的设备和传感器现在可以在比以前研究的高得多的雷诺数下访问湍流结构。因此，我们对边界层动力学的理解正在以越来越快的速度发展。现在是审查、讨论和超越这些事态发展的时候了。该提案寻求资金来部分支付与组织“高雷诺数边界层湍流：统计结构、尺度和动力演化的综合描述”研讨会相关的费用，该研讨会将于2013年11月20日至22日在新罕布什尔大学校园举行。研讨会将专门针对高雷诺数湍流。在许多科学过程和重要的技术应用中，边界层动力学无处不在。由于这些原因，更好地预测边界层行为的能力，特别是在高雷诺数下，仍然是一个高价值的目标。本次研讨会的具体目的是：(i)提供一个互动的环境，在这里可以详细介绍和讨论这个快速发展领域的最新发现；（ii）将边界层研究的既有和新兴的主角（实验、模拟和分析方面的专家）与一群应用数学家聚集在一起，他们是推动复杂流体流动的降阶模型系统发展的领导者。一个总体目标是更深入地探索我们对边界层动力学的新理解如何用于开发更准确、计算效率更高、更有基础的高雷诺数边界层模型。更广泛的影响更好地理解湍流边界层在非常高的雷诺数将导致提高对许多工程和物理问题的理解，如航空航天应用，气象学和天气预报，污染物在大气和河流和海洋中的扩散，风力发电场的能源生产等。这种认识也有助于设计需要更少能量的流体输送系统或容器。提议的研讨会将把研究许多相关问题的研究人员聚集在一起，但在许多情况下，他们还不是天然的合作者。与会者的专业知识被选择来覆盖学科焦点，这些学科焦点被认为跨越了开发和完善高雷诺数湍流边界层精确降阶模型的系统构建所需的元素；一个现在看来触手可及的及时目标。鉴于此，拟议的讲习班将促进两个主要的更广泛的影响。第一个目标是形成一个研究团体，其成员了解如果要实现所设想的建模范式，必须合理地理解的所有元素。第二是启动参与者之间的合作，从而实质性地促进所需的特定调查领域，以推进减少订单模型的开发和实施。虽然研讨会不会有正式的会议记录，但个人演讲将以电子形式收集，并随后在公共网站上公布。

1359025KlewickiThe past decade has seen transformational advances in turbulence experimentation and simulation, and these have allowed the unprecedented capability to study the detailed temporal and spatial structure of turbulent boundary layers. Furthermore, recently developed facilities and sensors around the globe are now allowing access to turbulence structure at significantly higher Reynolds numbers than previously studied. As a result, our understanding of boundary layer dynamics is now progressing at an ever increasing pace. It is timely to review, discuss and advance beyond these developments. The proposal seeks funds to partially cover expenses related to the organization of a workshop on "High Reynolds Number Boundary Layer Turbulence: Integrating Descriptions of Statistical Structure, Scaling and Dynamical Evolution", to be held at the campus of the University of New Hampshire, from November 20-22, 2013. The workshop will be targeted specifically to high Reynolds number turbulence. Intellectual MeritBoundary layer dynamics are pervasive in numerous scientific processes and technologically important applications. For these reasons, the capacity to better predict boundary layer behavior, and especially at high Reynolds numbers, persists as a high value objective. The specific aims of this workshop are to (i) provide an interactive setting where the latest findings of this rapidly advancing field can be presented and discussed at length, and (ii) bring together the established and emerging protagonists of boundary layer research (experts in experiments, simulation and analysis) with a cadre of applied mathematicians who are leaders in advancing the systematic development of reduced order models of complex fluid flows. An overarching aim is to more deeply explore how our new and emerging understandings of boundary layer dynamics can be used to benefit the development of more accurate, computationally efficient and more well-founded models of the high Reynolds number boundary layer.Broader ImpactBetter understanding of turbulent boundary layers at very high Reynolds numbers will lead to improved understanding of a number of engineering and physics problems, such as aerospace applications, meteorology and weather prediction, pollutant dispersion in the atmosphere and in rivers and oceans, energy production with wind farms, etc. This understanding may also allow the design of fluid transportation systems or vessels that require less energy to operate. The proposed workshop will bring together researchers who work on a number of allied problems, but, in many cases, are not yet natural collaborators. The expertise of the attendees is chosen to cover the disciplinary foci that are deemed to span the elements required to develop and refine the systematic construction of the accurate reduced order models for the high Reynolds number turbulent boundary layer; a timely goal that now seems within reach. Given this, the proposed workshop will promote two primary broader impacts. The first is directed toward the formation of a research community whose members have an understanding of the full scope of elements that must rationally be understood if the envisioned modeling paradigm(s) are to be realized. The second is to initiate collaborations amongst the participants, and thus substantively promote the specific areas of inquiry required to advance reduced order model development and implementation. While there will be no formal proceedings of the workshop, the individual presentations will be collected in electronic form, and will subsequently be made available on a public website.