IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-16077-7_24.html
   My bibliography  Save this book chapter

The Nodal LTSN Solution in a Rectangular Domain: A New Method to Determine the Outgoing Angular Flux at the Boundary

In: Integral Methods in Science and Engineering

Author

Listed:
  • Aline R. Parigi

    (Instituto Federal Farroupilha)

  • Cynthia F. Segatto

    (Universidade Federal do Rio Grande do Sul)

  • Bardo E. J. Bodmann

    (Universidade Federal do Rio Grande do Sul)

Abstract

In the present contribution we discuss the neutron nodal S N equation in a rectangular domain. The nodal method consists in transverse integration of the S N equation and results in coupled one-dimensional S N equations with unknown angular flux at the border. In the literature, the outgoing angular flux is considered a constant or exponential decreasing function, where the latter is used in this work. It is noteworthy that solutions found with these boundary conditions present unphysical results, i.e. negative angular fluxes in the border region, whereas the scalar flux is semi-positive definite. To overcome these shortcomings a new approach is proposed. The rectangular domain is covered by a finite discrete set of narrow rectangular sub-domains, so that in each rectangle the solution may be approximated by the one from a one-dimensional problem. Upon applying the LTS N method combined with the DNI technique, i.e. interpolating the directions of the two-dimensional problem by means of one-dimensional directions, one obtains the angular flux at the border from the known one-dimensional LTS N solution for any desired point. Numerical simulations and comparisons with results found in the literature are presented.

Suggested Citation

  • Aline R. Parigi & Cynthia F. Segatto & Bardo E. J. Bodmann, 2019. "The Nodal LTSN Solution in a Rectangular Domain: A New Method to Determine the Outgoing Angular Flux at the Boundary," Springer Books, in: Christian Constanda & Paul Harris (ed.), Integral Methods in Science and Engineering, chapter 0, pages 309-320, Springer.
  • Handle: RePEc:spr:sprchp:978-3-030-16077-7_24
    DOI: 10.1007/978-3-030-16077-7_24
    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

    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:978-3-030-16077-7_24. 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.