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    LES Study on High Reynolds Turbulent Drag-Reducing Flow of Viscoelastic Fluids Based on Multiple Relaxation Times Constitutive Model and Mixed Subgrid-Scale Model

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    Type
    Conference Paper
    Authors
    Li, Jingfa
    Yu, Bo
    Zhang, Xinyu
    Sun, Shuyu
    Sun, Dongliang
    Zhang, Tao
    KAUST Department
    Computational Transport Phenomena Lab
    Earth Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2018-06-12
    Online Publication Date
    2018-06-12
    Print Publication Date
    2018
    Permanent link to this record
    http://hdl.handle.net/10754/628317
    
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    Abstract
    Due to complicated rheological behaviors and elastic effect of viscoelastic fluids, only a handful of literatures reporting the large-eddy simulation (LES) studies on turbulent drag-reduction (DR) mechanism of viscoelastic fluids. In addition, these few studies are limited within the low Reynolds number situations. In this paper, LES approach is applied to further study the flow characteristics and DR mechanism of high Reynolds viscoelastic turbulent drag-reducing flow. To improve the accuracy of LES, an N-parallel FENE-P constitutive model based on multiple relaxation times and an improved mixed subgrid-scale (SGS) model are both utilized. DR rate and velocity fluctuations under different calculation parameters are analyzed. Contributions of different shear stresses on frictional resistance coefficient, and turbulent coherent structures which are closely related to turbulent burst events are investigated in details to further reveal the DR mechanism of high Reynolds viscoelastic turbulent drag-reducing flow. Especially, the different phenomena and results between high Reynolds and low Reynolds turbulent flows are addressed. This study is expected to provide a beneficial guidance to the engineering application of turbulent DR technology.
    Citation
    Li J, Yu B, Zhang X, Sun S, Sun D, et al. (2018) LES Study on High Reynolds Turbulent Drag-Reducing Flow of Viscoelastic Fluids Based on Multiple Relaxation Times Constitutive Model and Mixed Subgrid-Scale Model. Computational Science – ICCS 2018: 174–188. Available: http://dx.doi.org/10.1007/978-3-319-93713-7_14.
    Sponsors
    The study is supported by National Natural Science Foundation of China (No. 51636006), project of Construction of Innovative Teams and Teacher Career Development for Universities and Colleges under Beijing Municipality (No. IDHT20170507) and the Program of Great Wall Scholar (CIT&TCD20180313).
    Publisher
    Springer Nature
    Journal
    Computational Science – ICCS 2018
    Conference/Event name
    18th International Conference on Computational Science, ICCS 2018
    DOI
    10.1007/978-3-319-93713-7_14
    Additional Links
    https://link.springer.com/chapter/10.1007%2F978-3-319-93713-7_14
    ae974a485f413a2113503eed53cd6c53
    10.1007/978-3-319-93713-7_14
    Scopus Count
    Collections
    Conference Papers; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program; Computational Transport Phenomena Lab

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