IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-28691-0_1.html
   My bibliography  Save this book chapter

Introduction

In: Applied Computational Fluid Dynamics and Turbulence Modeling

Author

Listed:
  • Sal Rodriguez

    (Sandia National Laboratories)

Abstract

The motivation for learning and mastering CFD and turbulence modeling is based on their ever-increasing potential to solve problems, especially those that cannot be resolved experimentally due to physical limitations, economic cost, safety, time constraints, or environmental regulatory procedures. Current and future employment trends, computational capacity growth, and experimentation costs favor CFD. The integration of CFD, theory, advanced manufacturing, and experiments will lead towards even more economical and faster development of prototypes and systems for more streamlined concept-to-market development. As Moore’s law eventually ceases to apply, quantum and nano-computing devices, as well as quantum algorithms, will continue the computational growth trend for many decades to come, if not centuries. The near future holds the potential for simulations that are thousands of times faster than is currently feasible. This fascinating subject is elaborated further in Sect. 5.2.

Suggested Citation

  • Sal Rodriguez, 2019. "Introduction," Springer Books, in: Applied Computational Fluid Dynamics and Turbulence Modeling, chapter 0, pages 1-9, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-28691-0_1
    DOI: 10.1007/978-3-030-28691-0_1
    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:978-3-030-28691-0_1. 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.