Schur complement domain decomposition for 3D fluid - 2D plate interaction system: analysis and preconditioning
Year: 2026
Type: preprint
Abstract: Fluid-structure interaction problems involving three-dimensional fluids coupled with thin elastic plates arise in many engineering applications and present significant computational challenges due to the strong coupling across the fluid-structure interface. In this work, we develop a Schur complement domain decomposition method for a 3D fluid-2D plate interaction problem in which the fluid is modeled by the unsteady Stokes equations and the structure by a reformulated Kirchhoff plate model. Starting from a mixed finite element discretization with Lagrange multipliers enforcing the interface conditions, we derive an interface Schur complement formulation that decouples the fluid and plate subproblems while preserving the strong interface coupling without requiring subiterations. We then analyze the conditioning of the resulting Schur complement system matrix and show how its condition number deteriorates under mesh refinement. Motivated by this analysis, we introduce an interface-based preconditioner and establish theoretical bounds showing that the proposed preconditioner significantly improves the conditioning of the resulting system. Numerical experiments verify the expected spatial and temporal convergence rates, demonstrate significant reductions in condition numbers and GMRES iteration counts for the proposed preconditioner compared with both the unpreconditioned system and a block Jacobi preconditioner, and illustrate the robustness of the proposed method for challenging added-mass regimes.
Source: arXiv (Cornell University)
Authors: Besabe, Lander, Lee, Hyesuk
Institution: Clemson University
Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Awards: G2013088438, G2640189751, MRI: Acquisition of a Cyberinstrument for Interdisciplinary Computational Science and Engineering, G3595647918, G4753560203, MRI: Acquisition of a Cyberinstrument for AI-Enabled Computational Science & Engineering, Domain Decomposition Methods for Coupled Models of Non-Newtonian Fluids and Solid Structures, Decoupling algorithms for fluid-structure interaction problems: Advances in theory, methodology, and applications, MRI: Acquisition of High Performance Computing Instrument for Collaborative Data-Enabled Science, II NEW: Infrastructure to Support Research in Network-Aware Data-Intensive Computing, G8419962090
OpenAlex ID: W7202144137
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