Description
Turbulent puffs are ubiquitous in everyday life phenomena. Understanding their dynamics is important in a variety of situations ranging from industrial processes to pure and applied science. In all these fields, a deep knowledge of the statistical structure of temperature and velocity space-time fluctuations is of paramount importance to construct models of chemical reaction (in chemistry) and of condensation of virus-containing droplets (in virology and/or biophysics) and optimal mixing strategies in industrial applications. As a matter of fact, results of turbulence in a puff are confined to bulk properties (i.e., average puff velocity and typical decay or growth time) and date back to the second half of the 20th century. There is, thus, a huge gap to fill to pass from bulk properties to two-point statistical observables. Here, we fill this gap by exploiting theory and numerics in concert to predict and validate the space-time scaling behaviors of both velocity and temperature structure functions including intermittency corrections. Excellent agreement between theory and simulations is found. Our results are expected to have a profound impact on developing evaporation models for virus-containing droplets carried by a turbulent puff, with benefits to the comprehension of the airborne route of virus contagion.
source:https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.127.094501
Journal
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- Physical Review Letters
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Physical Review Letters 127 (9), 2021-08-25
American Physical Society (APS)
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Keywords
Details 詳細情報について
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- CRID
- 1050570852900161024
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- NII Article ID
- 120007145067
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- ISSN
- 10797114
- 00319007
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- HANDLE
- 11567/1072984
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- PubMed
- 34506163
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- Web Site
- http://id.nii.ac.jp/1394/00002000/
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- Text Lang
- en
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- Article Type
- journal article
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- Data Source
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- IRDB
- CiNii Articles
- OpenAIRE