Beyond incompressible phenomenology: mixing in compressible turbulent flows

主要研究者：Donzis，Diego提案编号：1605914湍流中物质或物种（在文献中通常称为“标量”）的混合从基本和实际的观点来看都是极其重要的主题。该建议的重点是可压缩湍流和混合的调查。为了实现这一目标，建议使用前所未有的高保真度模拟，推动称为直接数值模拟（DNS）的模拟类的边界。虽然几十年来在不可压缩流中的混合方面已经积累了大量的工作，但在可压缩湍流中的混合方面还没有类似水平的探索或数据，尽管它在不同的领域，如空气运输和空气动力学，太阳风物理学，恒星和超新星中的流动，发动机或大气中的化学反应流等领域至关重要。在实际应用中，可压缩混合一般是用基于经典唯象的不可压缩混合结果来模拟的。因此，存在知识差距，本提案旨在通过对新规范配置的受控和系统研究以及由此产生的高保真DNS数据数据库供社区探索，为理解基本物理过程提供基础，从而缩小知识差距。本研究将全面探讨雷诺数、马赫数及施密特数对流动的影响。提出的工作包括一类典型的流动，可用于获得高保真度的结果，可能导致可压缩标量混合的进步的定义。这些典型流的结果将提供可靠的数据，可以用作理论和模型的基准。此外，它建议开发一个所谓的兰利曲线的可压缩混合。作为该项目的副作用，将开发高性能计算技术，并将向感兴趣的科学家和工程师提供数据。

PI: Donzis, DiegoProposal Number: 1605914Mixing of substances or species (commonly called "scalars" in the literature) in turbulent flows is a topic of paramount importance from both fundamental and practical standpoints. The focus of this proposal is on the investigation of compressible turbulent flows and mixing. In order to achieve this goal, it is proposed to use simulations of unprecedented high fidelity, pushing the boundaries of the class of simulations known as Direct Numerical Simulations (DNS). While substantial work has been accumulated over decades on mixing in incompressible flows, there is no similar level of exploration or data on mixing in compressible turbulence in spite of its critical importance in diverse areas such as air transportation and aerodynamics, physics of solar wind, flows in stars and supernovae, chemically reacting flows in engines or the atmosphere, among many others. In applications, compressible mixing is commonly modeled using incompressible results based mainly on classical phenomenology. There is, thus, a gap in knowledge which this proposal aims to close by providing groundwork for understanding the fundamental physical processes through controlled and systematic studies in new canonical configurations and the resulting databases of high-fidelity DNS data for the community to explore. The proposed research will comprehensively investigate the effects of Reynolds number, Mach number and Schmidt number. The work proposed includes the definition of a class of canonical flows that can be used to obtain high fidelity results that could lead to advances in compressible scalar mixing. Results for these canonical flows would provide reliable data that can be used as benchmark for theories and models. Furthermore, it is proposed to develop a so-called Langley curve for compressible mixing. The high performance computing techniques to be developed as the side effect of this project and the data will be available to the community of interested scientists and engineers.