RMIT University
Browse

On the origin of frequency sparsity in direct numerical simulations of turbulent pipe flow

journal contribution
posted on 2024-11-02, 02:46 authored by Francisco Gomez Carrasco, Hugh Blackburn, Murray Rudman, Beverley McKeon, Mitul Luhar, Rashad Moarref, Ati Sharma
The possibility of creating reduced-order models for canonical wall-bounded turbulent flows based on exploiting energy sparsity in frequency domain, as proposed by Bourguignon et al. [Phys. Fluids 26, 015109 (2014)], is examined. The present letter explains the origins of energetically sparse dominant frequencies and provides fundamental information for the design of such reduced-order models. The resolvent decomposition of a pipe flow is employed to consider the influence of finite domain length on the flow dynamics, which acts as a restriction on the possible wavespeeds in the flow. A forcing-to-fluctuation gain analysis in the frequency domain reveals that large sparse peaks in amplification occur when one of the possible wavespeeds matches the local wavespeed via the critical layer mechanism. A link between amplification and energy is provided through the similar characteristics exhibited by the most energetically relevant flow structures, arising from a dynamic mode decomposition of direct numerical simulation data, and the resolvent modes associated with the most amplified sparse frequencies. These results support the feasibility of reduced-order models based on the selection of the most amplified modes emerging from the resolvent model, leading to a novel computationally efficient method of representing turbulent flows.

Funding

Designing textured roughness to control turbulent pipe flow

Australian Research Council

Find out more...

History

Related Materials

  1. 1.
    DOI - Is published in 10.1063/1.4900768
  2. 2.
    ISSN - Is published in 10706631

Journal

Physics of Fluids

Volume

26

Number

101703

Issue

10

Start page

1

End page

8

Total pages

8

Publisher

AIP Publishing

Place published

United States

Language

English

Copyright

© 2014 AIP Publishing LLC.

Former Identifier

2006073153

Esploro creation date

2020-06-22

Fedora creation date

2017-06-07

Usage metrics

    Scholarly Works

    Categories

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC