A finite difference method for turbulent thermal convection of complex fluids

IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Computational Physics Pub Date : 2025-01-15 DOI:10.1016/j.jcp.2025.113732
Jiaxing Song , Chang Xu , Olga Shishkina
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Abstract

An efficient and robust finite difference algorithm for three-dimensional direct numerical simulations (DNS) of turbulent thermal convection of complex fluids has been developed. To study the complicated fluid elasticity and plasticity, the simulated non-Newtonian fluids are modelled by either viscoelastic Oldroyd-B or FENE-P, or Saramito elastoviscoplastic constitutive equations based on the conformation tensor. The non-Newtonian solver is built on top of the open-source AFiD (www.afid.eu) code, which uses a pencil distributed parallel strategy to efficiently handle the large-scale wall-bounded turbulence computations. The present algorithm is demonstrated to preserve the properties of symmetry, boundedness and positive definiteness of the conformation tensor up to large Weissenberg numbers Wi102 and high Rayleigh number Ra1010. To validate and assess the code, both two-dimensional and three-dimensional DNS of viscoelastic Rayleigh–Bénard convection are performed. A comparison with available DNS results in the literature shows a very good agreement. Moreover, the results for the heat transport modification for highly turbulent thermal convection with polymer additives agree not only qualitatively but also quantitatively with previous experiments in a similar parameter range. To validate the elastoviscoplastic model used in the code, the DNS of elastoviscoplastic turbulent channel flows at friction Reynolds number Reτ=180 and different Bingham numbers Bi are performed, which also show good agreement with the available results. Single plume dynamics and turbulent Rayleigh–Bénard convection of Newtonian, viscoplastic, viscoelastic and elastoviscoplastic fluids are also studied in the DNS to show the versatility of the code.
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Journal of Computational Physics
Journal of Computational Physics 物理-计算机:跨学科应用
CiteScore
7.60
自引率
14.60%
发文量
763
审稿时长
5.8 months
期刊介绍: Journal of Computational Physics thoroughly treats the computational aspects of physical problems, presenting techniques for the numerical solution of mathematical equations arising in all areas of physics. The journal seeks to emphasize methods that cross disciplinary boundaries. The Journal of Computational Physics also publishes short notes of 4 pages or less (including figures, tables, and references but excluding title pages). Letters to the Editor commenting on articles already published in this Journal will also be considered. Neither notes nor letters should have an abstract.
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