2020
DOI: 10.1186/s40323-020-00150-9
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A hybrid interface preconditioner for monolithic fluid–structure interaction solvers

Abstract: We propose a hybrid interface preconditioner for the monolithic solution of surface-coupled problems. Powerful preconditioning techniques are crucial when it comes to solving large monolithic systems of linear equations efficiently, especially when arising from coupled multi-physics problems like in fluid–structure interaction. Existing physics-based block preconditioners have proven to be efficient, but their error assessment reveals an accumulation of the error at the coupling surface. We address this issue … Show more

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Cited by 10 publications
(10 citation statements)
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“…Putting the residual expressions r S , r G and r F from the solid, the ALE, and the fluid field as well as the kinematic constraint r kin together yields the monolithic nonlinear residual vector r FSI T = r S r G r F r kin T that needs to vanish in every time step. The nonlinearity is treated by a Newton-Krylov method with FSI-specific preconditioning as proposed by Gee et al [2] or Mayr et al [49]. After the assembly and the subsequent static condensation of the Lagrange multiplier and slave side interface degrees of freedom, the monolithic system of linear equations schematically reads…”
Section: The Monolithic Solution Methods For Fsimentioning
confidence: 99%
“…Putting the residual expressions r S , r G and r F from the solid, the ALE, and the fluid field as well as the kinematic constraint r kin together yields the monolithic nonlinear residual vector r FSI T = r S r G r F r kin T that needs to vanish in every time step. The nonlinearity is treated by a Newton-Krylov method with FSI-specific preconditioning as proposed by Gee et al [2] or Mayr et al [49]. After the assembly and the subsequent static condensation of the Lagrange multiplier and slave side interface degrees of freedom, the monolithic system of linear equations schematically reads…”
Section: The Monolithic Solution Methods For Fsimentioning
confidence: 99%
“…One way of tackling this challenge consists in developing or applying sophisticated linear solvers and/or pre-conditioners capable of dealing with given large and poorly conditioned systems. This approach was followed by various researchers in the field of monolithic FSI [2][3][4][5][6][7]. In this case computational efficiency of the model is determined predominantly by the selected linear solver.…”
Section: Introductionmentioning
confidence: 99%
“…We propose a novel aggregation strategy for the discrete Lagrange multiplier unknowns along the contact interface, which we consider simpler to implement, computationally less expensive, and more intuitive for contact problems compared with the ideas from Reference 55. Inspired by our prior work on fluid–structure interaction, 64,65 where we have investigated the beneficial effect of satisfying interface constraints within the preconditioner, we will then use segregated transfer operators suitable for block matrices to transfer and incorporate the contact constraints in all coarse levels. We analyze various Schur complement block smoothers and assess their suitability for satisfying the contact constraints.…”
Section: Introductionmentioning
confidence: 99%