• Login
    View Item 
    •   UBIR Home
    • Research Data Collections
    • UB NSF Awards, current and past (public)
    • View Item
    •   UBIR Home
    • Research Data Collections
    • UB NSF Awards, current and past (public)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Parallel Adaptive Lagrangian Discontinuous Galerkin Simulation of Pediatric Brain Injury

    Thumbnail
    View/Open
    dublin_core.xml (2.265Kb)
    xx374.xml (2.603Kb)
    Date
    2014-04-02
    Author
    Abani Patra Principal Investigator
    Metadata
    Show full item record
    Abstract
    The overall goal of this work is to develop the computational tools to better study "shaken baby syndrome". This project will develop highly accurate parallel adaptive Lagrangian discontinuous Galerkin techniques for the simulation of fluid mechanics and solid mechanics. These techniques will be central to the development of high fidelity simulation tools for investigation of pediatric brain injury mechanisms and preventative strategies. Even the most powerful computers today using the best available codes would need weeks or months to do these calculations. Moreover, even those heroic calculations would not provide reasonable simulations due to the poor numerical accuracy of the lower order (O(h)) finite element / finite difference schemes and explicit time integration schemes (O(Dt)) used.<br/><br/>The key element of the new strategy is the development and use of parallel adaptive hp Lagrangian discontinuous Galerkin schemes that provide the accuracy and efficiency necessary for dealing with the complex geometric and material structure of the brain tissue, associated membranes, and blood vessels. These schemes will enable the use of higher order approximations to obtain accuracies that are O(hp) and O(Dtk), for p, k > 1. While the pediatric brain injury application will drive the research into this new class of parallel computational techniques, the codes and methodology should be useful for a much wider class of problems.
    URI
    http://hdl.handle.net/10477/23496
    Collections
    • UB NSF Awards, current and past (public)

    To add content to the repository or for technical support: Contact Us
     

     

    Browse

    All of UBIRCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    To add content to the repository or for technical support: Contact Us