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Detection of Energetic Low Dimensional Subspaces in Spatio-Temporal Space in Turbulent Pipe Flow

DOI zum Zitieren der Version auf EPub Bayreuth: https://doi.org/10.15495/EPub_UBT_00008283
URN to cite this document: urn:nbn:de:bvb:703-epub-8283-3

Title data

Shahirpour, Amir ; Egbers, Christoph ; Sesterhenn, Jörn:
Detection of Energetic Low Dimensional Subspaces in Spatio-Temporal Space in Turbulent Pipe Flow.
In: Flow, Turbulence and Combustion. (2024) .
ISSN 1573-1987
DOI der Verlagsversion: https://doi.org/10.1007/s10494-024-00600-z

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Project information

Project title:
Project's official title
Project's id
Turbulent Superstructures
SPP 1881

Project financing: Deutsche Forschungsgemeinschaft

Further data

Item Type: Article in a journal
Keywords: Data driven model reduction; Dynamic mode decomposition; Turbulent pipe flow; Coherent structures
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Institutions of the University: Faculties > Faculty of Engineering Science > Chair Technical Mechanics and Fluid Mechanics > Chair Technical Mechanics and Fluid Mechanics - Univ.-Prof. Dr. Jörn Lothar Sesterhenn
Faculties
Faculties > Faculty of Engineering Science
Faculties > Faculty of Engineering Science > Chair Technical Mechanics and Fluid Mechanics
Language: English
Originates at UBT: Yes
URN: urn:nbn:de:bvb:703-epub-8283-3
Date Deposited: 11 Mar 2025 05:56
Last Modified: 11 Mar 2025 05:56
URI: https://epub.uni-bayreuth.de/id/eprint/8283

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