逆流超流体湍流中的非均匀涡旋缠结:收敛通道中的流动

IF 0.3 Q4 MATHEMATICS
L. Saluto, M. Mongiovì
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引用次数: 4

摘要

摘要研究了非均匀流动中超流体湍流单位体积L平均涡长演化方程。线密度L和逆流速度V的不均匀性可能有助于涡扩散、涡形成和涡破坏。我们探索了两个不同的贡献族:那些来自维宁方程本身的二阶扩展,以及那些与原始维宁方程无关但必须通过添加从量纲分析或其他物理参数中获得的二阶项来陈述的贡献族。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Inhomogeneous vortex tangles in counterflow superfluid turbulence: flow in convergent channels
Abstract We investigate the evolution equation for the average vortex length per unit volume L of superfluid turbulence in inhomogeneous flows. Inhomogeneities in line density L andincounterflowvelocity V may contribute to vortex diffusion, vortex formation and vortex destruction. We explore two different families of contributions: those arising from asecondorder expansionofthe Vinenequationitself, andthose whichare notrelated to the original Vinen equation but must be stated by adding to it second-order terms obtained from dimensional analysis or other physical arguments.
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来源期刊
CiteScore
1.30
自引率
0.00%
发文量
3
审稿时长
16 weeks
期刊介绍: Communications in Applied and Industrial Mathematics (CAIM) is one of the official journals of the Italian Society for Applied and Industrial Mathematics (SIMAI). Providing immediate open access to original, unpublished high quality contributions, CAIM is devoted to timely report on ongoing original research work, new interdisciplinary subjects, and new developments. The journal focuses on the applications of mathematics to the solution of problems in industry, technology, environment, cultural heritage, and natural sciences, with a special emphasis on new and interesting mathematical ideas relevant to these fields of application . Encouraging novel cross-disciplinary approaches to mathematical research, CAIM aims to provide an ideal platform for scientists who cooperate in different fields including pure and applied mathematics, computer science, engineering, physics, chemistry, biology, medicine and to link scientist with professionals active in industry, research centres, academia or in the public sector. Coverage includes research articles describing new analytical or numerical methods, descriptions of modelling approaches, simulations for more accurate predictions or experimental observations of complex phenomena, verification/validation of numerical and experimental methods; invited or submitted reviews and perspectives concerning mathematical techniques in relation to applications, and and fields in which new problems have arisen for which mathematical models and techniques are not yet available.
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