Cargando…
Application of superstatistical analysis on fluctuant surface shear in particle-laden turbulence boundary layer
ABSTRACT: We report on an application of superstatistics to particle-laden turbulent flow. Four flush-mounted hot-film wall shear sensors were used to record the fluctuations of the wall shear stress in sand-laden flow. By comparing the scaling exponent in sand-free with that in sand-laden flows, we...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8786757/ https://www.ncbi.nlm.nih.gov/pubmed/35072846 http://dx.doi.org/10.1140/epje/s10189-021-00159-x |
_version_ | 1784639186839535616 |
---|---|
author | Li, Guang He, Wei Yang, Bo Yu, Hongxiang Huang, Ning Herrmann, Hans J. Zhang, Jie |
author_facet | Li, Guang He, Wei Yang, Bo Yu, Hongxiang Huang, Ning Herrmann, Hans J. Zhang, Jie |
author_sort | Li, Guang |
collection | PubMed |
description | ABSTRACT: We report on an application of superstatistics to particle-laden turbulent flow. Four flush-mounted hot-film wall shear sensors were used to record the fluctuations of the wall shear stress in sand-laden flow. By comparing the scaling exponent in sand-free with that in sand-laden flows, we found that the sand-laden flow is more intermittent. By applying the superstatistics analysis to the friction velocity, we found that the large time scale is smaller when the flow is sand-laden. The probability density of a fluctuating energy dissipation rate measured in sand-laden flow follows a log-normal distribution with higher variances than for sand-free flow. The variance of this dissipation rate is a power law of the corresponding time scale. The prediction based on the superstatistics model is consistent with our structure function exponents [Formula: see text] for sand-free flow. Nevertheless, it overestimates [Formula: see text] for sand-laden flow, especially at higher Reynolds numbers. GRAPHIC ABSTRACT: [Image: see text] |
format | Online Article Text |
id | pubmed-8786757 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-87867572022-02-02 Application of superstatistical analysis on fluctuant surface shear in particle-laden turbulence boundary layer Li, Guang He, Wei Yang, Bo Yu, Hongxiang Huang, Ning Herrmann, Hans J. Zhang, Jie Eur Phys J E Soft Matter Regular Article - Flowing Matter ABSTRACT: We report on an application of superstatistics to particle-laden turbulent flow. Four flush-mounted hot-film wall shear sensors were used to record the fluctuations of the wall shear stress in sand-laden flow. By comparing the scaling exponent in sand-free with that in sand-laden flows, we found that the sand-laden flow is more intermittent. By applying the superstatistics analysis to the friction velocity, we found that the large time scale is smaller when the flow is sand-laden. The probability density of a fluctuating energy dissipation rate measured in sand-laden flow follows a log-normal distribution with higher variances than for sand-free flow. The variance of this dissipation rate is a power law of the corresponding time scale. The prediction based on the superstatistics model is consistent with our structure function exponents [Formula: see text] for sand-free flow. Nevertheless, it overestimates [Formula: see text] for sand-laden flow, especially at higher Reynolds numbers. GRAPHIC ABSTRACT: [Image: see text] Springer Berlin Heidelberg 2022-01-24 2022 /pmc/articles/PMC8786757/ /pubmed/35072846 http://dx.doi.org/10.1140/epje/s10189-021-00159-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Regular Article - Flowing Matter Li, Guang He, Wei Yang, Bo Yu, Hongxiang Huang, Ning Herrmann, Hans J. Zhang, Jie Application of superstatistical analysis on fluctuant surface shear in particle-laden turbulence boundary layer |
title | Application of superstatistical analysis on fluctuant surface shear in particle-laden turbulence boundary layer |
title_full | Application of superstatistical analysis on fluctuant surface shear in particle-laden turbulence boundary layer |
title_fullStr | Application of superstatistical analysis on fluctuant surface shear in particle-laden turbulence boundary layer |
title_full_unstemmed | Application of superstatistical analysis on fluctuant surface shear in particle-laden turbulence boundary layer |
title_short | Application of superstatistical analysis on fluctuant surface shear in particle-laden turbulence boundary layer |
title_sort | application of superstatistical analysis on fluctuant surface shear in particle-laden turbulence boundary layer |
topic | Regular Article - Flowing Matter |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8786757/ https://www.ncbi.nlm.nih.gov/pubmed/35072846 http://dx.doi.org/10.1140/epje/s10189-021-00159-x |
work_keys_str_mv | AT liguang applicationofsuperstatisticalanalysisonfluctuantsurfaceshearinparticleladenturbulenceboundarylayer AT hewei applicationofsuperstatisticalanalysisonfluctuantsurfaceshearinparticleladenturbulenceboundarylayer AT yangbo applicationofsuperstatisticalanalysisonfluctuantsurfaceshearinparticleladenturbulenceboundarylayer AT yuhongxiang applicationofsuperstatisticalanalysisonfluctuantsurfaceshearinparticleladenturbulenceboundarylayer AT huangning applicationofsuperstatisticalanalysisonfluctuantsurfaceshearinparticleladenturbulenceboundarylayer AT herrmannhansj applicationofsuperstatisticalanalysisonfluctuantsurfaceshearinparticleladenturbulenceboundarylayer AT zhangjie applicationofsuperstatisticalanalysisonfluctuantsurfaceshearinparticleladenturbulenceboundarylayer |