Journal
SIAM JOURNAL ON SCIENTIFIC COMPUTING
Volume 36, Issue 3, Pages B589-U1Publisher
SIAM PUBLICATIONS
DOI: 10.1137/12090304X
Keywords
incompressible flow; variable viscosity; convergence; stability; immersed boundary method
Categories
Funding
- DOE Computational Science Graduate Fellowship [DE-FG02-97ER25308]
- National Science Foundation [OCI-1047734, DMS-1016554]
- American Heart Association [10SDG4320049]
- NSF [DMS-0914963]
- Alfred P. Sloan Foundation
- McKnight Foundation
- Direct For Mathematical & Physical Scien
- Division Of Mathematical Sciences [1460368] Funding Source: National Science Foundation
- Office of Advanced Cyberinfrastructure (OAC)
- Direct For Computer & Info Scie & Enginr [1460334] Funding Source: National Science Foundation
Ask authors/readers for more resources
We analyze the stability and convergence of first-order accurate and second-order accurate timestepping schemes for the Navier-Stokes equations with variable viscosity. These schemes are characterized by a mixed implicit/explicit treatment of the viscous term, in which a numerical parameter,., determines the degree of splitting between the implicit and explicit contributions. The reason for this splitting is that it avoids the need to solve computationally expensive linear systems that may change at each timestep. Provided the parameter. is within a permissible range, we prove that the first-order accurate and second-order accurate schemes are convergent. We show further that the efficiency of the second-order accurate scheme depends on how. is chosen within the permissible range, and we discuss choices that work well in practice. We use parameters motivated by this analysis to simulate internal gravity waves, which arise in stratified fluids with variable density. We examine how the wave properties change in the nonlinear and variable viscosity regime, and we test how well our theory predicts the speed of convergence of the iteration used in the second-order accurate timestepping scheme.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available