A parallel solver for fluid structure interaction problems with Lagrange multiplier
Daniele Boffi, Fabio Credali, Lucia Gastaldi, Simone Scacchi
TL;DR
The paper tackles parallel solution of fluid-structure interaction problems modeled via a fictitious-domain approach with a distributed Lagrange multiplier. It develops a monolithic FE discretization using a $\,\mathcal{Q}_2\,-\mathcal{P}_1\$ fluid pair and a $\mathcal{Q}_1$ solid, with semi-implicit Backward Euler time stepping and a Lagrange-multiplier coupling that yields a saddle-point system solved by parallel GMRES. Two block preconditioners (block-diagonal and block-triangular) are analyzed, with diagonal blocks inverted by a parallel MUMPS solver; numerical results show the block-triangular preconditioner to be robust for both linear and nonlinear solids, while the block-diagonal preconditioner can fail for refined meshes or nonlinear cases, particularly with mesh-intersection coupling. The work highlights the impact of coupling-assembly strategies (exact vs inexact) on sparsity and performance, and demonstrates scalability and accuracy through extensive 2D tests on Linux clusters using the PETSc framework. The findings advance robust parallel FSI solvers for fictitious-domain formulations and set the stage for extensions to more complex multiphysics problems.
Abstract
The aim of this work is to present a parallel solver for a formulation of fluid-structure interaction (FSI) problems which makes use of a distributed Lagrange multiplier in the spirit of the fictitious domain method. The fluid subproblem, consisting of the non-stationary Stokes equations, is discretized in space by $\mathcal{Q}_2$-$\mathcal{P}_1$ finite elements, whereas the structure subproblem, consisting of the linear or finite incompressible elasticity equations, is discretized in space by $\mathcal{Q}_1$ finite elements. A first order semi-implicit finite difference scheme is employed for time discretization. The resulting linear system at each time step is solved by a parallel GMRES solver, accelerated by block diagonal or triangular preconditioners. The parallel implementation is based on the PETSc library. Several numerical tests have been performed on Linux clusters to investigate the effectiveness of the proposed FSI solver.
