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    A semi-automated finite difference mesh creation method for use with immersed boundary software IB2d and IBAMR

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    Date
    2020-11-27
    Author
    Senter, D. Michael
    Douglas, Dylan R.
    Strickland, W. Christopher
    Thomas, Steven G.
    Talkington, Anne M.
    Miller, Laura
    Battista, Nicholas
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    Abstract
    Abstract
    Numerous fluid-structure interaction problems in biology have been investigated using the immersed boundary method. The advantage of this method is that complex geometries, e.g., internal or external morphology, can easily be handled without the need to generate matching grids for both the fluid and the structure. Consequently, the difficulty of modeling the structure lies often in discretizing the boundary of the complex geometry (morphology). Both commercial and open source mesh generators for finite element methods have long been established; however, the traditional immersed boundary method is based on a finite difference discretization of the structure. Here we present a software library for obtaining finite difference discretizations of boundaries for direct use in the 2D immersed boundary method. This library provides tools for extracting such boundaries as discrete mesh points from digital images. We give several examples of how the method can be applied that include passing flow through the veins of insect wings, within lymphatic capillaries, and around starfish using open-source immersed boundary software.
    Citation:
    Senter, D. M., Douglas, D. R., Strickland, W. C., Thomas, S. G., Talkington, A. M., Miller, L. A., & Battista, N. A. (2020). A semi-automated finite difference mesh creation method for use with immersed boundary software IB2d and IBAMR. Bioinspiration & Biomimetics, 16(1), 016008.
    Description
    Department of Mathematics and Statistics
    Rights
    File not available for download due to copyright restrictions
    URI
    https://doi.org/10.1088/1748-3190/ababb0
    https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7970534/
    https://pubmed.ncbi.nlm.nih.gov/32746437/
    http://dr.tcnj.edu/handle/2900/4096
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