An open-source computational framework for immersed fluid-structure interaction modeling using FEBio and MFEM
Ryan T. Black, Steve A. Maas, Wensi Wu, Jalaj Maheshwari, Tzanio Kolev, Jeffrey A. Weiss, Matthew A. Jolley

TL;DR
This paper introduces an open-source immersed fluid-structure interaction framework that combines MFEM and FEBio libraries, enabling efficient, scalable, and accurate simulations of complex biological systems like heart valves.
Contribution
The work presents a novel coupling of MFEM and FEBio for immersed FSI, leveraging GPU acceleration and advanced biomechanics modeling within a modular, open-source platform.
Findings
Demonstrated capability with 3D heart valve simulation
Achieved high parallel performance and scalability
Enhanced accuracy with variational multiscale stabilization
Abstract
Fluid-structure interaction (FSI) simulation of biological systems presents significant computational challenges, particularly for applications involving large structural deformations and contact mechanics, such as heart valve dynamics. Traditional ALE methods encounter fundamental difficulties with such problems due to mesh distortion, motivating immersed techniques. This work presents a novel open-source immersed FSI framework that strategically couples two mature finite element libraries: MFEM, a GPU-ready and scalable library with state-of-the-art parallel performance developed at LLNL, and FEBio, a nonlinear finite element solver with sophisticated solid mechanics capabilities designed for biomechanics applications developed at the University of Utah and Columbia University. This coupling creates a unique synergy wherein the fluid solver leverages MFEM's distributed-memory…
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Taxonomy
TopicsLattice Boltzmann Simulation Studies · Advanced Numerical Methods in Computational Mathematics · Elasticity and Material Modeling
