Skip to Main Content

Mathematics of Computation

Published by the American Mathematical Society since 1960 (published as Mathematical Tables and other Aids to Computation 1943-1959), Mathematics of Computation is devoted to research articles of the highest quality in computational mathematics.

ISSN 1088-6842 (online) ISSN 0025-5718 (print)

The 2020 MCQ for Mathematics of Computation is 1.78.

What is MCQ? The Mathematical Citation Quotient (MCQ) measures journal impact by looking at citations over a five-year period. Subscribers to MathSciNet may click through for more detailed information.

 

A discrete Hopf interpolant and stability of the finite element method for natural convection
HTML articles powered by AMS MathViewer

by Joseph A. Fiordilino and Ali Pakzad HTML | PDF
Math. Comp. 89 (2020), 629-643 Request permission

Abstract:

The temperature in natural convection problems is, under mild data assumptions, uniformly bounded in time. This property has not yet been proven for the standard finite element method (FEM) approximation of natural convection problems with nonhomogeneous partitioned Dirichlet boundary conditions, e.g., the differentially heated vertical wall and Rayleigh–Bénard problems. For these problems, only stability in time, allowing for possible exponential growth of $\| T^{n}_{h} \|$, has been proven using Gronwall’s inequality. Herein, we prove that the temperature approximation can grow at most linearly in time provided that the first mesh line in the finite element mesh is within $\mathcal {O} (Ra^{-1})$ of the nonhomogeneous Dirichlet boundary.
References
  • Uri M. Ascher, Steven J. Ruuth, and Brian T. R. Wetton, Implicit-explicit methods for time-dependent partial differential equations, SIAM J. Numer. Anal. 32 (1995), no. 3, 797–823. MR 1335656, DOI 10.1137/0732037
  • J. Boland and W. Layton, An analysis of the finite element method for natural convection problems, Numer. Methods Partial Differential Equations 6 (1990), no. 2, 115–126. MR 1051838, DOI 10.1002/num.1690060202
  • M. A. Christon, P. M. Gresho, and S. B. Sutton, Computational predictability of time-dependent natural convection flows in enclosures (including a benchmark solution), Int. J. Numer. Meth. Fluids. 40 (2002), 953–980.
  • Eligio Colmenares and Michael Neilan, Dual-mixed finite element methods for the stationary Boussinesq problem, Comput. Math. Appl. 72 (2016), no. 7, 1828–1850. MR 3547687, DOI 10.1016/j.camwa.2016.08.011
  • C. R. Doering and P. Constantin, Energy dissipation in shear driven turbulence, Phys. Rev. Lett. 69 (1992), 1648–1651.
  • Peter Constantin and Charles R. Doering, Variational bounds on energy dissipation in incompressible flows. II. Channel flow, Phys. Rev. E (3) 51 (1995), no. 4, 3192–3198. MR 1384734, DOI 10.1103/PhysRevE.51.3192
  • A. E. Gill, The boundary-layer regime for convection in a rectangular cavity, Journal of Fluid Mechanics. 26 (1966), 515–536.
  • E. Hopf, Lecture series of the symposium on partial differential equations, Berkeley, 1955.
  • N. Z. Ince and B. E. Launder, On the computation of buoyancy-driven turbulent flows in rectangular enclosures, Int. J. Heat and Fluid Flow. 10 (1989), 110–117.
  • Ross Ingram, A new linearly extrapolated Crank-Nicolson time-stepping scheme for the Navier-Stokes equations, Math. Comp. 82 (2013), no. 284, 1953–1973. MR 3073187, DOI 10.1090/S0025-5718-2013-02678-6
  • William Layton, Introduction to the numerical analysis of incompressible viscous flows, Computational Science & Engineering, vol. 6, Society for Industrial and Applied Mathematics (SIAM), Philadelphia, PA, 2008. With a foreword by Max Gunzburger. MR 2442411, DOI 10.1137/1.9780898718904
  • M. T. Manzari, An explicit finite element algorithm for convection heat transfer problems, International Journal of Numerical Methods for Heat and Fluid Flow. 9 (1999), 860–877.
  • N. Massarotti, P. Nithiarasu, and O. C. Zienkiewicz, Characteristic-based-split(CBS) algorithm for incompressible flow problems with heat transfer, International Journal of Numerical Methods for Heat and Fluid Flow 8 (1998), 969–990.
  • Zhiyong Si, Xiaogang Song, and Pengzhan Huang, Modified characteristics gauge-Uzawa finite element method for time dependent conduction-convection problems, J. Sci. Comput. 58 (2014), no. 1, 1–24. MR 3147646, DOI 10.1007/s10915-013-9721-0
  • ZhiYong Si, YinNian He, and Kun Wang, A defect-correction method for unsteady conduction convection problems I: spatial discretization, Sci. China Math. 54 (2011), no. 1, 185–204. MR 2764795, DOI 10.1007/s11425-010-4022-7
  • Haiyan Su, Xinlong Feng, and Yinnian He, Second order fully discrete defect-correction scheme for nonstationary conduction-convection problem at high Reynolds number, Numer. Methods Partial Differential Equations 33 (2017), no. 3, 681–703. MR 3634456, DOI 10.1002/num.22115
  • Haiyan Sun, Yinnian He, and Xinlong Feng, On error estimates of the penalty method for the unsteady conduction-convection problem I: time discretization, Int. J. Numer. Anal. Model. 9 (2012), no. 4, 876–891. MR 2926492
  • Jilian Wu, Xinlong Feng, and Fei Liu, Pressure-correction projection FEM for time-dependent natural convection problem, Commun. Comput. Phys. 21 (2017), no. 4, 1090–1117. MR 3621625, DOI 10.4208/cicp.OA-2016-0064
  • J. Wu, D. Gui, D. Liu, and X. Feng, The characteristic variational multiscale method for time dependent conduction–convection problems, Int. Comm. Heat Mass Trans. 68 (2015), 58–68.
  • Jilian Wu, Jie Shen, and Xinlong Feng, Unconditionally stable gauge-Uzawa finite element schemes for incompressible natural convection problems with variable density, J. Comput. Phys. 348 (2017), 776–789. MR 3689659, DOI 10.1016/j.jcp.2017.07.045
  • T. Zhang, X. Feng, and J. Yuan Implicit–explicit schemes of finite element method for the non-stationary thermal convection problems with temperature-dependent coefficients, International Communications in Heat and Mass Transfer. 76 (2016), 325–336.
Similar Articles
Additional Information
  • Joseph A. Fiordilino
  • Affiliation: Department of Mathematics, University of Pittsburgh, Pittsburgh, Pennsylvania 15260
  • Address at time of publication: Measurement Science and Engineering Department, Naval Surface Warfare Center Corona Division, Corona, California 9287
  • MR Author ID: 1072925
  • Email: joseph.a.fiordilino1@navy.mil
  • Ali Pakzad
  • Affiliation: Department of Mathematics, Indiana University, Bloomington, Indiana 47405
  • MR Author ID: 1236501
  • Email: apakzad@iu.edu
  • Received by editor(s): October 6, 2017
  • Received by editor(s) in revised form: October 18, 2017, and April 22, 2019
  • Published electronically: November 4, 2019
  • Additional Notes: The authors’ research was partially supported by NSF grants DMS 1522267 and CBET 1609120
    The first author was also supported by the DoD SMART Scholarship
  • © Copyright 2019 American Mathematical Society
  • Journal: Math. Comp. 89 (2020), 629-643
  • MSC (2010): Primary 65M12, 65M60, 76R10; Secondary 76D05
  • DOI: https://doi.org/10.1090/mcom/3489
  • MathSciNet review: 4044444