The divergence-conforming immersed boundary method

Application to vesicle and capsule dynamics

Journal Article (2021)
Author(s)

Hugo Casquero (Carnegie Mellon University)

Carles Bona-Casas (University of the Balearic Islands)

Deepesh Toshniwal (TU Delft - Numerical Analysis)

Thomas J.R. Hughes ( Oden Institute for Computational Engineering and Sciences)

Hector Gomez (Purdue University)

Yongjie Jessica Zhang (Carnegie Mellon University)

DOI related publication
https://doi.org/10.1016/j.jcp.2020.109872 Final published version
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Publication Year
2021
Language
English
Volume number
425
Article number
109872
Pages (from-to)
1-26
Downloads counter
267
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Abstract

We extend the recently introduced divergence-conforming immersed boundary (DCIB) method [1] to fluid-structure interaction (FSI) problems involving closed co-dimension one solids. We focus on capsules and vesicles, whose discretization is particularly challenging due to the higher-order derivatives that appear in their formulations. In two-dimensional settings, we employ cubic B-splines with periodic knot vectors to obtain discretizations of closed curves with C2 inter-element continuity. In three-dimensional settings, we use analysis-suitable bi-cubic T-splines to obtain discretizations of closed surfaces with at least C1 inter-element continuity. Large spurious changes of the fluid volume inside closed co-dimension one solids are a well-known issue for IB methods. The DCIB method results in volume changes orders of magnitude lower than conventional IB methods. This is a byproduct of discretizing the velocity-pressure pair with divergence-conforming B-splines, which lead to negligible incompressibility errors at the Eulerian level. The higher inter-element continuity of divergence-conforming B-splines is also crucial to avoid the quadrature/interpolation errors of IB methods becoming the dominant discretization error. Benchmark and application problems of vesicle and capsule dynamics are solved, including mesh-independence studies and comparisons with other numerical methods.