Evidence map›Paper›PMID 40842861›Full record

ArticleAdvances in computational science and engineering2025

LOCAL DIVERGENCE-FREE IMMERSED FINITE ELEMENT-DIFFERENCE METHOD USING COMPOSITE B-SPLINES.

Lianxia Li, Cole Gruninger, Jae H Lee, Boyce E Griffith

Abstract read
In one paragraph

Article in Advances in computational science and engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Lianxia LiDepartment of Mathematics, University of North Carolina, Chapel Hill, NC, USA.
Cole GruningerDepartment of Mathematics, University of North Carolina, Chapel Hill, NC, USA.
Jae H LeeDepartment of Mathematics, University of North Carolina, Chapel Hill, NC, USA.
Boyce E GriffithDepartment of Mathematics, University of North Carolina, Chapel Hill, NC, USA.

Funding

Multiscale Modeling of Clotting Risk in Atrial FibrillationU01HL143336 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GRIFFITH, BOYCE EUGENE · 2018 to 2022
$2.8M
Modulation of VSMC phenotype through the Insulin Receptor Substrate-1/Kruppel-like factor-4 signal transduction pathway: a Novel Target for AVF DysfunctionR01DK132328 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PRABIR ROY-CHAUDHURY, Gang Xi · 2022 to 2026
$2.7M
Computational and Experimental Modeling of Subclinical Leaflet Thrombosis in Bioprosthetic Aortic ValvesR01HL157631 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FOGELSON, AARON L, GRIFFITH, BOYCE EUGENE · 2022 to 2025
$2.7M
NHLBI NIH HHS R01 HL157631NHLBI NIH HHS U01 HL143336NIDDK NIH HHS R01 DK132328
6 · The paper itself

Abstract

In the class of immersed boundary (IB) methods, the choice of the regularized delta function plays a crucial role in transferring information between fluid and solid domains through interpolation and spreading operators. Most prior work using the IB method has used isotropic kernels that do not preserve the divergence-free condition of the velocity field, leading to loss of incompressibility of the solid when interpolating the Eulerian velocity to Lagrangian markers. One approach to addressing this issue in IB simulations involving large deformations of immersed incompressible elastic structures is to use a volumetric stabilization approach, such as adding a volumetric energy term and using modified invariants in the structure's constitutive model. Composite B-spline (CBS) kernels offer an alternative approach by inherently maintaining the discrete divergence-free property. This work evaluates the performance of CBS kernels in terms of their volume conservation and accuracy, comparing them with several traditional isotropic kernel functions using a construction introduced by Peskin (referred to as IB kernels) and B-spline (BS) kernels. Benchmark tests include pressure-loaded and shear-dominated flows, such as an elastic band under differential pressure loads, a pressurized membrane, a compressed block, Cook's membrane, a slanted channel flow, and a modified Turek-Hron problem. Additionally, we validate our methodology using a complex fluid-structure interaction model of bioprosthetic heart valve dynamics in a pulse duplicator. Results demonstrate that CBS kernels achieve superior volume conservation compared to conventional isotropic kernels, eliminating the need for additional volumetric stabilization techniques typically required to address instabilities arising from volume conservation errors. Further, it is common that the accuracy provided by CBS kernels on coarser grids is comparable to that provided by IB and BS kernels on finer grids. Unlike IB and BS kernels, which perform better with larger mesh ratio factors between solid and fluid grids, CBS kernels show improved results with smaller mesh ratio factors. Additionally, the study reveals that although wider kernels provide more accurate results across all methods, CBS kernels are less sensitive to variations in relative grid spacings than isotropic kernels. This study highlights the advantages of CBS kernels in achieving stable, accurate, and efficient FSI simulations without requiring specialized volumetric stabilization treatments when simulating large deformations of elastic solids immersed in fluid.

Indexed as

composite B-spline kernels (CBS)fluid-structure interactionImmersed boundaryimmersed finite element-finite difference methodisotropic kernelPrimary: 58F15, 58F17Secondary: 53C35volume conservationvolumetric stabilization

Identifiers

PMID40842861
PMCPMC12365689

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.