4.7 Article

Error analysis of a fully discrete finite element variational multiscale method for the natural convection problem

Journal

COMPUTERS & MATHEMATICS WITH APPLICATIONS
Volume 68, Issue 4, Pages 543-567

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.camwa.2014.06.008

Keywords

Natural convection problem; Stabilized finite element method; Stability analysis; Error estimate; Variational multiscale method; Fully discrete

Funding

  1. NSFC [11171269]
  2. Ph.D. Programs Foundation of Ministry of Education of China [20110201110027]
  3. Fundamental Research Funds for the Central Universities [08142013, 08143045]
  4. China Postdoctoral Science Foundation [2013M531311]
  5. Educational Commission of Henan Province of China [14B110020, 14B110021, 14B110025]
  6. Henan Scientific and Technological Research Project [132102310309]
  7. Doctoral Foundation of Henan University of Science and Technology [09001625]
  8. Science Foundation for Cultivating Innovation Ability of Henan University of Science and Technology [2014ZCX009]
  9. Youth Scientific Foundation of Henan University of Science and Technology [2012QN029]

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For the natural convection problem, we propose a new projection-based finite element variational multiscale method by defining the stabilization terms via two local Gauss integrations at the element level. Based on the implicit backward Euler and implicit Crank-Nicolson schemes for temporal discretization and stabilized mixed finite element spatial discretization, we establish two numerical schemes for the natural convection problem. Unconditional stabilities of the two numerical schemes are proved. We derive error bounds of the fully discrete solution which are first and second order in time, respectively. The optimal error estimates in space could be achieved for velocity and temperature in the H-1 semi-norm, and for pressure in the L-2 norm with the proper choosing of stabilized parameters. However, the error estimates in space are suboptimal for velocity and temperature in the L-2 norm. The derived theoretical results are supported by two numerical examples. (C) 2014 Elsevier Ltd. All rights reserved.

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