Adaptive artificial compression methods independently adapt time-step and ε, embed first- and second-order methods, and have computational complexity similar to the basic constant-parameter version.
A time-accurate, adaptive discretization for fluid flow problems
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abstract
This report presents a low computational and cognitive complexity, stable, time accurate and adaptive method for the Navier-Stokes equations. The improved method requires a minimally intrusive modification to an existing program based on the fully implicit / backward Euler time discretization, does not add to the computational complexity, and is conceptually simple. The backward Euler approximation is simply post-processed with a two-step, linear time filter. The time filter additionally removes the overdamping of Backward Euler while remaining unconditionally energy stable, proven herein. Even for constant stepsizes, the method does not reduce to a standard / named time stepping method but is related to a known 2-parameter family of A-stable, two step, second order methods. Numerical tests confirm the predicted convergence rates and the improved predictions of flow quantities such as drag and lift.
fields
math.NA 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
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Doubly-Adaptive Artificial Compression Methods for Incompressible Flow
Adaptive artificial compression methods independently adapt time-step and ε, embed first- and second-order methods, and have computational complexity similar to the basic constant-parameter version.