Fluid-Structure Interaction: Acceleration of Strong Coupling by Preconditioning of the Fixed-Point Iteration
M. R. Dörfel () and
B. Simeon ()
Additional contact information
M. R. Dörfel: Technische Universität München, Chair of Numerical Analysis
B. Simeon: Technische Universität Kaiserslautern, Department of Mathematics
A chapter in Numerical Mathematics and Advanced Applications 2011, 2013, pp 741-749 from Springer
Abstract:
Abstract This contribution focuses on partitioned solution approaches in fluid-structure interaction problems. Depending on certain physical parameters of fluid and structure, the fixed-point iteration that is mostly used to strongly couple the different solvers in each time step is susceptible to deceleration. We present a method that is able to overcome this effect by a specific preconditioning of the fixed-point iteration. Thus, the full convergence order of the underlying time-discretisation schemes is preserved. As computational example, a benchmark problem from hemodynamics is considered where this effect has a particularly strong influence. It turns out that, though a single step of the preconditioned iteration is more expensive, the overall gain in efficiency can be significant.
Keywords: Acceleration Method; Linear Multistep Method; Standard Iteration; Specific Precondition; Standard Lagrangian Multiplier (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-33134-3_78
Ordering information: This item can be ordered from
http://www.springer.com/9783642331343
DOI: 10.1007/978-3-642-33134-3_78
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().