2020
DOI: 10.1016/j.cma.2020.113122
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The nested block preconditioning technique for the incompressible Navier–Stokes equations with emphasis on hemodynamic simulations

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Cited by 25 publications
(26 citation statements)
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“…With Scheme‐2, we can also conveniently address the proper temporal treatment of the traction coupling condition in geometric multiscale simulations. More specifically, the pressure on the interface between the three‐dimensional and reduced models should be collocated at the intermediate time step 19‐21 rather than at t n + 1 22 . As we observed numerically, the latter approach may further degrade the velocity temporal accuracy from second‐ to first‐order.…”
Section: Discussionmentioning
confidence: 99%
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“…With Scheme‐2, we can also conveniently address the proper temporal treatment of the traction coupling condition in geometric multiscale simulations. More specifically, the pressure on the interface between the three‐dimensional and reduced models should be collocated at the intermediate time step 19‐21 rather than at t n + 1 22 . As we observed numerically, the latter approach may further degrade the velocity temporal accuracy from second‐ to first‐order.…”
Section: Discussionmentioning
confidence: 99%
“…We also note that ∞ = 0.5 is commonly adopted as a balanced choice for CFD and FSI investigations. 6,20,32,35,36 Remark 2. One may introduce an additional set of parameters p m , p f , and p for the pressure variable (see p. 89 of Reference 11).…”
Section: The Generalized-schemes Under Comparisonmentioning
confidence: 99%
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“…Then, we address the ill-conditioning issues stemming from our choice of super-penalty parameters. We adapt the block preconditioner based on an inexact Schur complement reduction (SCR) introduced in [27,28] and we combine it with a preconditioner tailored to the isogeometric discretization of the Kirchhoff plate, where we exploit the tensor product structure of B-splines and an efficient algorithm for the solution of the arising Sylvester-like system; for a detailed derivation we refer to [30,31,37]. Finally, we show through several numerical benchmarks the optimal convergence properties of the presented methodology, where our approach does not suffer from boundary locking, especially on very coarse meshes.…”
Section: Introductionmentioning
confidence: 99%