IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-540-75999-7_15.html
   My bibliography  Save this book chapter

Reproducing Kernel Partition of Unity: from Continuum to Quantum

In: Computational Mechanics

Author

Listed:
  • Jiun-Shyan Chen

    (University of California, Civil & Environmental Engineering Department)

  • Wei Hu

    (University of California, Civil & Environmental Engineering Department)

Abstract

Through three classes of problems at continuum macro-scale, meso-scale, and quantum-scale, we demonstrate how the reproducing kernel (RK) approximation can be constructed to alleviate the numerical difficulties associated with the standard finite element methods (FEM) in solving the partial differential equations of the three demonstration problems. A typical problem at macro-scale that cannot be effectively analyzed by FEM is the problem involving large material distortion and damage. Employment of the mesh based methods often encounters mesh entanglement type ill-conditioning or solution divergence in large deformation and fragment-impact problems. With the proper selection of continuity and locality in the RK approximation, this class of problems can be modeled with desired regularity. At meso-scale, surface energy of materials becomes critical, and the numerical method that can accurately approximate moving discontinuities on the evolving material interfaces is essential. For example, modeling of microstructure evolution and topological changes requires a continuous remeshing using FEM. This difficulty is resolved by the RK approximation by introducing an interface enrichment function to adequately capture meso-scale moving material interfaces. In quantum mechanics, Schrödinger equation exhibits a highly nonlinear behavior near nuclei. We demonstrate how p-refinement and enrichment of orbital functions can be formulated under the RK approximation framework for effective numerical solution of Schrödinger equation.

Suggested Citation

  • Jiun-Shyan Chen & Wei Hu, 2007. "Reproducing Kernel Partition of Unity: from Continuum to Quantum," Springer Books, in: Computational Mechanics, pages 167-179, Springer.
  • Handle: RePEc:spr:sprchp:978-3-540-75999-7_15
    DOI: 10.1007/978-3-540-75999-7_15
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-540-75999-7_15. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.