IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-44718-2_4.html
   My bibliography  Save this book chapter

Computational Singular Perturbation Method and Tangential Stretching Rate Analysis of Large Scale Simulations of Reactive Flows: Feature Tracking, Time Scale Characterization, and Cause/Effect Identification. Part 2, Analyses of Ignition Systems, Laminar and Turbulent Flames

In: Data Analysis for Direct Numerical Simulations of Turbulent Combustion

Author

Listed:
  • M. Valorani

    (Sapienza University of Rome, Department of Mechanical and Aerospace Engineering)

  • F. Creta

    (Sapienza University of Rome, Department of Mechanical and Aerospace Engineering)

  • P. P. Ciottoli

    (Sapienza University of Rome, Department of Mechanical and Aerospace Engineering)

  • R. Malpica Galassi

    (Sapienza University of Rome, Department of Mechanical and Aerospace Engineering)

  • D. A. Goussis

    (Khalifa University of Science and Technology)

  • H. N. Najm

    (Sandia National Laboratories)

  • S. Paolucci

    (University of Notre Dame, Aerospace and Mechanical Engineering)

  • H. G. Im

    (KAUST)

  • E.-A. Tingas

    (Perth College, University of the Highlands and Islands (UHI))

  • D. M. Manias

    (National Technical University of Athens)

  • A. Parente

    (ULB)

  • Z. Li

    (ULB)

  • T. Grenga

    (Institute for Combustion Technology RWTH Aachen University)

Abstract

Chapter 3 summarized the highlights of the concepts behind the CSP method and the TSR analysis. In this chapter, we will discuss a few applications of these techniques.

Suggested Citation

  • M. Valorani & F. Creta & P. P. Ciottoli & R. Malpica Galassi & D. A. Goussis & H. N. Najm & S. Paolucci & H. G. Im & E.-A. Tingas & D. M. Manias & A. Parente & Z. Li & T. Grenga, 2020. "Computational Singular Perturbation Method and Tangential Stretching Rate Analysis of Large Scale Simulations of Reactive Flows: Feature Tracking, Time Scale Characterization, and Cause/Effect Identif," Springer Books, in: Heinz Pitsch & Antonio Attili (ed.), Data Analysis for Direct Numerical Simulations of Turbulent Combustion, chapter 0, pages 65-88, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-44718-2_4
    DOI: 10.1007/978-3-030-44718-2_4
    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:978-3-030-44718-2_4. 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.