• Login
    View Item 
    •   Digital Repository Home
    • TCNJ Scholars (Faculty and Student Research)
    • Faculty Research
    • Mathematics & Statistics Department
    • View Item
    •   Digital Repository Home
    • TCNJ Scholars (Faculty and Student Research)
    • Faculty Research
    • Mathematics & Statistics Department
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    IB2d Reloaded: a more powerful Python and MATLAB implementation of the immersed boundary method

    Thumbnail
    Date
    2018-12
    Author
    Battista, Nicholas
    Strickland, W. Christopher
    Barrett, Aaron
    Miller, Laura
    Metadata
    Show full item record
    Abstract
    Abstract
    The immersed boundary (IB) method is an elegant way to fully couple the motion of a fluid and deformations of an immersed elastic structure. In that vein, the IB2d software allows for expedited explorations of fluid-structure interaction for beginners and veterans to the field of computational fluid dynamics. While most open-source computational fluid dynamics codes are written in low-level programming environments, IB2d was specifically written in high-level programming environments to make its accessibility extend beyond scientists with vast programming experience. Although previously introduced by Battista et al. 2006 many improvements and additions have been made to the software to allow for even more robust models of material properties for the elastic structures, including a data analysis package for both the fluid and immersed structure data, an improved time-stepping scheme for higher accuracy solutions, and functionality for modeling slight fluid density variations as given by the Boussinesq approximation.
    Citation:
    Battista, N. A., Strickland, W. C., Barrett, A., & Miller, L. A. (2018). IB2d Reloaded: A more powerful Python and MATLAB implementation of the immersed boundary method. Mathematical Methods in the Applied Sciences, 41(18), 8455-8480.
    Description
    Department of Mathematics and Statistics
    Rights
    File not available for download due to copyright restrictions
    URI
    https://doi.org/10.1002/mma.4708
    https://doi.org/10.48550/arXiv.1707.06928
    http://dr.tcnj.edu/handle/2900/4089
    Collections
    • Mathematics & Statistics Department

    DSpace software copyright © 2002-2016  DuraSpace
    | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    DSpace software copyright © 2002-2016  DuraSpace
    | Send Feedback
    Theme by 
    Atmire NV