2005
DOI: 10.1016/j.cma.2004.12.005
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Added-mass effect in the design of partitioned algorithms for fluid–structure problems

Abstract: Nobile. Added-mass effect in the design of partitioned algorithms for fluid-structure problems.

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Cited by 708 publications
(815 citation statements)
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“…Such a block Gauss-Seidel iterative scheme provides strong coupling of the partitioned fluid and structure subproblems and, when implemented in conjunction with the implicit dual timestepping the scheme of the fluid solver and implicit Newmark/Newton-Raphson scheme of the structural solver, enables a large physical time step to be maintained. Depending upon the time step selected and/or the combined physical and geometrical parameters of the problem-certain classes of problem frequently encountered in biomedical modelling can be severely destabilized by the effects of the so-called added-mass phenomena [41,42]-subiterations may or may not be required at each time level for strong coupling to be achieved. In the examples presented here, matching discretizations have been generated at the interface to avoid the errors associated with data interpolation on highly non-matching discretizations during this implementation stage.…”
Section: Partitioned Fluid-structure Interface Couplingmentioning
confidence: 99%
“…Such a block Gauss-Seidel iterative scheme provides strong coupling of the partitioned fluid and structure subproblems and, when implemented in conjunction with the implicit dual timestepping the scheme of the fluid solver and implicit Newmark/Newton-Raphson scheme of the structural solver, enables a large physical time step to be maintained. Depending upon the time step selected and/or the combined physical and geometrical parameters of the problem-certain classes of problem frequently encountered in biomedical modelling can be severely destabilized by the effects of the so-called added-mass phenomena [41,42]-subiterations may or may not be required at each time level for strong coupling to be achieved. In the examples presented here, matching discretizations have been generated at the interface to avoid the errors associated with data interpolation on highly non-matching discretizations during this implementation stage.…”
Section: Partitioned Fluid-structure Interface Couplingmentioning
confidence: 99%
“…It has been shown in several studies [8,7,9] that the instability of the coupling iterations within the time step has a physical cause. Consequently, the time discretization schemes are not expected to have much influence on the stability of the coupling iterations although they will influence the final result of the coupling iterations.…”
Section: Introductionmentioning
confidence: 99%
“…Förster et al [7] analyzed the effect of these parameters on algorithms without coupling iterations. Causin et al [8] studied algorithms with and without coupling iterations and derived the maximal relaxation factor that leads to convergence of coupling iterations as a function of the aforementioned parameters for a simplified model of blood flow in an artery and then validated the formulas with numerical experiments. Degroote et al [9] analyzed a more simplified model for the artery and performed a modal decomposition of the interface's displacement during the coupling iterations.…”
Section: Introductionmentioning
confidence: 99%
“…In [32] it was reported that the stability of explicit coupled algorithms is also influenced by the geometry of the domain and the material properties, in particular the involved densities and their ratios. The study of these dependencies will be further work.…”
Section: Discussionmentioning
confidence: 99%