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Lognormality in Turbulence Energy Spectra

The maximum entropy principle states that the energy distribution will tend toward a state of maximum entropy under the physical constraints, such as the zero energy at the boundaries and a fixed total energy content. For the turbulence energy spectra, a distribution function that maximizes entropy...

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Autor principal: Lee, Taewoo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517201/
https://www.ncbi.nlm.nih.gov/pubmed/33286441
http://dx.doi.org/10.3390/e22060669
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author Lee, Taewoo
author_facet Lee, Taewoo
author_sort Lee, Taewoo
collection PubMed
description The maximum entropy principle states that the energy distribution will tend toward a state of maximum entropy under the physical constraints, such as the zero energy at the boundaries and a fixed total energy content. For the turbulence energy spectra, a distribution function that maximizes entropy with these physical constraints is a lognormal function due to its asymmetrical descent to zero energy at the boundary lengths scales. This distribution function agrees quite well with the experimental data over a wide range of energy and length scales. For turbulent flows, this approach is effective since the energy and length scales are determined primarily by the Reynolds number. The total turbulence kinetic energy will set the height of the distribution, while the ratio of length scales will determine the width. This makes it possible to reconstruct the power spectra using the Reynolds number as a parameter.
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spelling pubmed-75172012020-11-09 Lognormality in Turbulence Energy Spectra Lee, Taewoo Entropy (Basel) Article The maximum entropy principle states that the energy distribution will tend toward a state of maximum entropy under the physical constraints, such as the zero energy at the boundaries and a fixed total energy content. For the turbulence energy spectra, a distribution function that maximizes entropy with these physical constraints is a lognormal function due to its asymmetrical descent to zero energy at the boundary lengths scales. This distribution function agrees quite well with the experimental data over a wide range of energy and length scales. For turbulent flows, this approach is effective since the energy and length scales are determined primarily by the Reynolds number. The total turbulence kinetic energy will set the height of the distribution, while the ratio of length scales will determine the width. This makes it possible to reconstruct the power spectra using the Reynolds number as a parameter. MDPI 2020-06-17 /pmc/articles/PMC7517201/ /pubmed/33286441 http://dx.doi.org/10.3390/e22060669 Text en © 2020 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lee, Taewoo
Lognormality in Turbulence Energy Spectra
title Lognormality in Turbulence Energy Spectra
title_full Lognormality in Turbulence Energy Spectra
title_fullStr Lognormality in Turbulence Energy Spectra
title_full_unstemmed Lognormality in Turbulence Energy Spectra
title_short Lognormality in Turbulence Energy Spectra
title_sort lognormality in turbulence energy spectra
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517201/
https://www.ncbi.nlm.nih.gov/pubmed/33286441
http://dx.doi.org/10.3390/e22060669
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