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Statistics and scaling in turbulent Rayleigh-Bénard convection
This Brief addresses two issues of interest of turbulent Rayleigh-Bénard convection. The first issue is the characterization and understanding of the statistics of the velocity and temperature fluctuations in the system. The second issue is the revelation and understanding of the nature of the scali...
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Lenguaje: | eng |
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Springer
2013
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Acceso en línea: | https://dx.doi.org/10.1007/978-981-4560-23-8 http://cds.cern.ch/record/1620191 |
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author | Ching, Emily SC |
author_facet | Ching, Emily SC |
author_sort | Ching, Emily SC |
collection | CERN |
description | This Brief addresses two issues of interest of turbulent Rayleigh-Bénard convection. The first issue is the characterization and understanding of the statistics of the velocity and temperature fluctuations in the system. The second issue is the revelation and understanding of the nature of the scaling behavior of the velocity temperature structure functions. The problem under the Oberbeck-Boussinesq approximation is formulated. The statistical tools, including probability density functions (PDF) and conditional statistics, for studying fluctuations are introduced, and implicit PDF formulae for |
id | cern-1620191 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2013 |
publisher | Springer |
record_format | invenio |
spelling | cern-16201912021-04-21T21:53:44Zdoi:10.1007/978-981-4560-23-8http://cds.cern.ch/record/1620191engChing, Emily SCStatistics and scaling in turbulent Rayleigh-Bénard convectionOther Fields of PhysicsThis Brief addresses two issues of interest of turbulent Rayleigh-Bénard convection. The first issue is the characterization and understanding of the statistics of the velocity and temperature fluctuations in the system. The second issue is the revelation and understanding of the nature of the scaling behavior of the velocity temperature structure functions. The problem under the Oberbeck-Boussinesq approximation is formulated. The statistical tools, including probability density functions (PDF) and conditional statistics, for studying fluctuations are introduced, and implicit PDF formulae forSpringeroai:cds.cern.ch:16201912013 |
spellingShingle | Other Fields of Physics Ching, Emily SC Statistics and scaling in turbulent Rayleigh-Bénard convection |
title | Statistics and scaling in turbulent Rayleigh-Bénard convection |
title_full | Statistics and scaling in turbulent Rayleigh-Bénard convection |
title_fullStr | Statistics and scaling in turbulent Rayleigh-Bénard convection |
title_full_unstemmed | Statistics and scaling in turbulent Rayleigh-Bénard convection |
title_short | Statistics and scaling in turbulent Rayleigh-Bénard convection |
title_sort | statistics and scaling in turbulent rayleigh-bénard convection |
topic | Other Fields of Physics |
url | https://dx.doi.org/10.1007/978-981-4560-23-8 http://cds.cern.ch/record/1620191 |
work_keys_str_mv | AT chingemilysc statisticsandscalinginturbulentrayleighbenardconvection |