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首页> 外文期刊>Numerical Functional Analysis and Optimization >An Analysis of the Blended Three-Step Backward Differentiation Formula Time-Stepping Scheme for the Navier-Stokes-Type System Related to Soret Convection
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An Analysis of the Blended Three-Step Backward Differentiation Formula Time-Stepping Scheme for the Navier-Stokes-Type System Related to Soret Convection

机译:Soret对流的Navier-Stokes型系统的混合三步向后微分公式时步方案分析

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摘要

In this article, we investigate the stability and convergence of a new class of blended three-step Backward Differentiation Formula (BDF) time-stepping scheme for spatially discretized Navier-Stokes-type system modeling Soret driven convective flows. A Galerkin mixed finite element spatial discretization is assumed, and the temporal discretization is by the implicit blended three-step BDF scheme. The blended BDF scheme is more accurate than the classical second order accurate two-step BDF (BDF2) scheme, yet strongly A-stable. We consider an implicit, linearly extrapolated version of the scheme to improve its efficiency. We present optimal finite element error estimates and prove the scheme is unconditionally stable and convergent. Numerical experiments are presented that compare the scheme to the classical BDF2 scheme.
机译:在本文中,我们研究了用于离散离散Navier-Stokes型系统建模Soret驱动对流的新型混合三步向后微分公式(BDF)时间步长方案的稳定性和收敛性。假设采用Galerkin混合有限元空间离散化,并且通过隐式混合三步BDF方案实现时间离散化。混合BDF方案比经典的二阶精确两步BDF(BDF2)方案更准确,但A稳定。我们考虑该方案的隐式,线性外推版本,以提高其效率。我们提出了最佳的有限元误差估计,并证明了该方案是无条件稳定和收敛的。数值实验进行了比较该方案与经典的BDF2方案。

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