Parallel block-preconditioned monolithic solvers for fluid-structure interaction problems

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

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  • Johannes Kepler Universität Linz (JKU)
  • Austrian Academy of Sciences
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OriginalspracheEnglisch
Seiten (von - bis)623-643
Seitenumfang21
FachzeitschriftInternational Journal for Numerical Methods in Engineering
Jahrgang117
Ausgabenummer6
Frühes Online-Datum12 Okt. 2018
PublikationsstatusVeröffentlicht - 10 Feb. 2019

Abstract

In this work, we consider the solution of fluid-structure interaction (FSI) problems using a monolithic approach for the coupling between fluid and solid subproblems. The coupling of both equations is realized by means of the arbitrary Lagrangian-Eulerian framework and a nonlinear harmonic mesh motion model. Monolithic approaches require the solution of large ill-conditioned linear systems of algebraic equations at every Newton step. Direct solvers tend to use too much memory even for a relatively small number of degrees of freedom and, in addition, exhibit superlinear growth in arithmetic complexity. Thus, iterative solvers are the only viable option. To ensure convergence of iterative methods within a reasonable amount of iterations, good and, at the same time, cheap preconditioners have to be developed. We study physics-based block preconditioners, which are derived from the block-LDU factorization of the FSI Jacobian, and their performance on distributed memory parallel computers in terms of two- and three-dimensional test cases permitting large deformations.

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Parallel block-preconditioned monolithic solvers for fluid-structure interaction problems. / Jodlbauer, D.; Langer, U.; Wick, T.
in: International Journal for Numerical Methods in Engineering, Jahrgang 117, Nr. 6, 10.02.2019, S. 623-643.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Jodlbauer D, Langer U, Wick T. Parallel block-preconditioned monolithic solvers for fluid-structure interaction problems. International Journal for Numerical Methods in Engineering. 2019 Feb 10;117(6):623-643. Epub 2018 Okt 12. doi: 10.48550/arXiv.1801.05648, 10.1002/nme.5970
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AU - Wick, T.

N1 - Funding Information: This work has been supported by the Austrian Science Fund (FWF) under Grant P-29181 “Goal-Oriented Error Control for Phase-Field Fracture Coupled to Multiphysics Problems.”

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N2 - In this work, we consider the solution of fluid-structure interaction (FSI) problems using a monolithic approach for the coupling between fluid and solid subproblems. The coupling of both equations is realized by means of the arbitrary Lagrangian-Eulerian framework and a nonlinear harmonic mesh motion model. Monolithic approaches require the solution of large ill-conditioned linear systems of algebraic equations at every Newton step. Direct solvers tend to use too much memory even for a relatively small number of degrees of freedom and, in addition, exhibit superlinear growth in arithmetic complexity. Thus, iterative solvers are the only viable option. To ensure convergence of iterative methods within a reasonable amount of iterations, good and, at the same time, cheap preconditioners have to be developed. We study physics-based block preconditioners, which are derived from the block-LDU factorization of the FSI Jacobian, and their performance on distributed memory parallel computers in terms of two- and three-dimensional test cases permitting large deformations.

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