Contribution to a conference proceedings/Contribution to a book

FZJ-2025-02462

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Investigating the Effects of Spanwise Transversal Traveling Waves on a Turbulent Compressible Flat Plate Flow With the Aid of a Deep Autoencoder Network

Shao, X. (Corresponding author) ; Ayan, H. O. ; Hübenthal, F. ; Rüttgers, M.FZJ* ; Lintermann, A.FZJ* ; Schröder, W.

2025
Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag Jülich

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Please use a persistent id in citations: doi:10.34734/FZJ-2025-02462  doi:10.34734/FZJ-2025-02462

Abstract: The impact of spanwise traveling transversal surface waves on drag reduction in turbulent compressible flat plate flow is explored. The findings indicate that when the traveling phase speed approaches the freestream velocity at 𝑀 = 0.7, a shock wave is induced in the spanwise direction. This shock wave effectively breaks down streamwise vortices into smaller scales, which significantly enhances drag reduction. The spanwise shock wave is a large-scale quasi-periodic phenomenon. To understand its impact on the multi-scale nature of turbulent flows, a nonlinear mode decomposing deep convolutional autoencoder is employed. The results show that the autoencoder reconstructs the flow field more accurately compared to Proper Orthogonal Decomposition (POD) and Dynamic Mode Decomposition(DMD). Additionally, it effectively separates the large-scale spanwise shock wave and small-scale turbulent structures, which achieves a clearer distinction than POD and DMD.

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)
2. RAISE - Research on AI- and Simulation-Based Engineering at Exascale (951733) (951733)

Appears in the scientific report 2025

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