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dc.contributor.authorLi, Jingfa
dc.contributor.authorYu, Bo
dc.contributor.authorSun, Shuyu
dc.contributor.authorSun, Dongliang
dc.contributor.authorKawaguchi, Yasuo
dc.date.accessioned2018-10-09T13:11:49Z
dc.date.available2018-10-09T13:11:49Z
dc.date.issued2018-10-05
dc.identifier.citationLi J, Yu B, Sun S, Sun D, Kawaguchi Y (2018) An N-parallel FENE-P constitutive model and its application in large-eddy simulation of viscoelastic turbulent drag-reducing flow. Journal of Computational Science. Available: http://dx.doi.org/10.1016/j.jocs.2018.09.016.
dc.identifier.issn1877-7503
dc.identifier.doi10.1016/j.jocs.2018.09.016
dc.identifier.urihttp://hdl.handle.net/10754/628915
dc.description.abstractIn this paper, an N-parallel FENE-P constitutive model based on multiple relaxation times is proposed, it can be viewed as a simplified version of the multi-mode FENE-P model under the assumption of identical deformation rate. The proposed model holds the merit of multiple relaxation times to preserve good computational accuracy but could reduce the computational cost, especially in the application of high-fidelity numerical simulation of viscoelastic turbulent drag-reducing flow. Firstly the establishment of N-parallel FENE-P model and the numerical approach to calculate the apparent viscosity are introduced. Then the proposed model is compared with the experimental data and the conventional FENE-P model in estimating rheological properties of two common-used viscoelastic fluids to validate its performance. This work is an extended version of our ICCS conference paper [1]. To further judge the performance of the proposed FENE-P model in complex turbulent flows, the extended application of the proposed model in large-eddy simulation of viscoelastic turbulent drag-reducing channel flow is carried out.
dc.description.sponsorshipThe study is supported by the 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), National Key R&D Program of China (Grant No. 2016YFE0204200), the Program of Great Wall Scholar (CIT&TCD20180313), and the Research Funding from King Abdullah University of Science and Technology (KAUST) through the grants BAS/1/1351-01.
dc.publisherElsevier BV
dc.relation.urlhttps://www.sciencedirect.com/science/article/pii/S1877750318309049
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Journal of Computational Science. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Computational Science, [, , (2018-10-05)] DOI: 10.1016/j.jocs.2018.09.016 . © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectN-parallel FENE-P model
dc.subjectViscoelastic fluid
dc.subjectMultiple relaxation times
dc.subjectApparent viscosity
dc.subjectLarge-eddy simulation
dc.titleAn N-parallel FENE-P constitutive model and its application in large-eddy simulation of viscoelastic turbulent drag-reducing flow
dc.typeArticle
dc.contributor.departmentComputational Transport Phenomena Lab
dc.contributor.departmentEarth Science and Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journalJournal of Computational Science
dc.eprint.versionPost-print
dc.contributor.institutionSchool of Mechanical Engineering, Beijing Key Laboratory of Pipeline Critical Technology and Equipment for Deepwater Oil & Gas Development, Beijing Institute of Petrochemical Technology, Beijing, 102617, China
dc.contributor.institutionDepartment of Mechanical Engineering, Tokyo University of Science, Noda-shi, Chiba 278-8510, Japan
kaust.personLi, Jingfa
kaust.personSun, Shuyu
kaust.grant.numberBAS/1/1351-01
refterms.dateFOA2018-10-09T13:29:57Z
dc.date.published-online2018-10-05
dc.date.published-print2018-11


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