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2019 | OriginalPaper | Chapter

Parallel Dynamic Mode Decomposition for Rayleigh–Taylor Instability Flows

Authors : Weiwei Tan, Junqiang Bai, Zengdong Tian, Li Li

Published in: The Proceedings of the 2018 Asia-Pacific International Symposium on Aerospace Technology (APISAT 2018)

Publisher: Springer Singapore

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Abstract

Many fluid flows of engineering interest, though very complex in appearance, can be approximated by low-order models governed by a few modes, and Dynamic Mode Decomposition (DMD) has been proved effective in analyzing the coherent structures of complex flows. In this article, we present the formulation and design progress of a parallel dynamic mode decomposition program, especially the parallel I/O strategy, as a significant supplementation of parallel dynamic mode decomposition algorithm presented in others literatures. Parallel I/O performance with different data block size and processor number is demonstrated with a 6.9 GB file generated by 1001 snapshots of Rayleigh-Taylor instability flow. Analysis of flow structure and spatio-temporal coherent structure are performed by Fast Fourier Transformation (FFT) and dynamic mode decomposition for flow field resulted from high order weighted essentially non-oscillatory (WENO) schemes. For test case of Rayleigh-Taylor instability flow with Atwood number A = 0.5, we find a significant phenomenon that WENO9 with very fine grid (h = 1/1920) exhibits the characteristic of large unsymmetrical bubble-like plumes, but the others take the form of symmetric bubble-like plumes.

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Metadata
Title
Parallel Dynamic Mode Decomposition for Rayleigh–Taylor Instability Flows
Authors
Weiwei Tan
Junqiang Bai
Zengdong Tian
Li Li
Copyright Year
2019
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-13-3305-7_63

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