CREMASCHINI, Claudio and Massimo TESSAROTTO. Ab initio construction of the 2-point velocity difference PDF for incompressible Navier-Stokes fluids. European Physical Journal Plus. DE - Spolková republika Německo, 2013, vol. 128, No 8, 7 pp. ISSN 2190-5444. Available from: https://dx.doi.org/10.1140/epjp/i2013-13084-2.
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Basic information
Original name Ab initio construction of the 2-point velocity difference PDF for incompressible Navier-Stokes fluids
Name (in English) Ab initio construction of the 2-point velocity difference PDF for incompressible Navier-Stokes fluids
Authors CREMASCHINI, Claudio and Massimo TESSAROTTO.
Edition European Physical Journal Plus, DE - Spolková republika Německo, 2013, 2190-5444.
Other information
Type of outcome Article in a journal
Field of Study 10300 1.3 Physical sciences
Confidentiality degree is not subject to a state or trade secret
WWW URL
Organization unit Institute of physics in Opava
Doi http://dx.doi.org/10.1140/epjp/i2013-13084-2
UT WoS 000323268200004
Keywords in English Probability Density-function; Lagrangian dynamics; Turbulent flows
Tags EE2-3-20-0071,
Tags International impact, Reviewed
Links EE2.3.20.0071, research and development project.
Changed by Changed by: Mgr. Pavlína Jalůvková, učo 25213. Changed: 29/3/2021 10:27.
Abstract
Characterizing hydrodynamic turbulence in terms of the so-called 2-point velocity difference statistics is a basic aspect of fluid dynamics, both from the theoretical and experimental viewpoints. The issue concerns in particular the first-principle construction of the corresponding 2-point velocity difference probability density function (PDF) as well as the transport equation which determines its time evolution. The goal of this paper is to point out that the problem can be solved by suitably prescribing the ensemble-averaging operator to be employed in the statistical description of fluids. As a result, qualitative properties of the 2-point PDF which are usually ascribed to the occurrence of turbulence are shown to follow from the ab initio approachpresented here and to characterize both deterministic and stochastic fluid descriptions.
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