Kolmogorov spectrum consistent optimization for multi-scale flow decomposition
Multi-scale analysis is widely adopted in turbulence research for studying flow structures corresponding to specific length scales in the Kolmogorov spectrum. In the present work, a new methodology based on novel optimization techniques for scale decomposition is introduced, which leads to a bandpas...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2014
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/104184 http://hdl.handle.net/10220/19443 |
| _version_ | 1811682781876453376 |
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| author | Mishra, M. Liu, X. Skote, M. Fu, C.-W. |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Mishra, M. Liu, X. Skote, M. Fu, C.-W. |
| author_sort | Mishra, M. |
| collection | NTU |
| description | Multi-scale analysis is widely adopted in turbulence research for studying flow structures corresponding to specific length scales in the Kolmogorov spectrum. In the present work, a new methodology based on novel optimization techniques for scale decomposition is introduced, which leads to a bandpass filter with prescribed properties. With this filter, we can efficiently perform scale decomposition using Fourier transform directly while adequately suppressing Gibbs ringing artifacts. Both 2D and 3D scale decomposition results are presented, together with qualitative and quantitative analysis. The comparison with existing multi-scale analysis technique is conducted to verify the effectiveness of our method. Validation of this decomposition technique is demonstrated both qualitatively and quantitatively. The advantage of the proposed methodology enables a precise specification of continuous length scales while preserving the original structures. These unique features of the proposed methodology may provide future insights into the evolution of turbulent flow structures. |
| first_indexed | 2024-10-01T04:02:18Z |
| format | Journal Article |
| id | ntu-10356/104184 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:02:18Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | ntu-10356/1041842020-05-28T07:18:04Z Kolmogorov spectrum consistent optimization for multi-scale flow decomposition Mishra, M. Liu, X. Skote, M. Fu, C.-W. School of Computer Engineering School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering Multi-scale analysis is widely adopted in turbulence research for studying flow structures corresponding to specific length scales in the Kolmogorov spectrum. In the present work, a new methodology based on novel optimization techniques for scale decomposition is introduced, which leads to a bandpass filter with prescribed properties. With this filter, we can efficiently perform scale decomposition using Fourier transform directly while adequately suppressing Gibbs ringing artifacts. Both 2D and 3D scale decomposition results are presented, together with qualitative and quantitative analysis. The comparison with existing multi-scale analysis technique is conducted to verify the effectiveness of our method. Validation of this decomposition technique is demonstrated both qualitatively and quantitatively. The advantage of the proposed methodology enables a precise specification of continuous length scales while preserving the original structures. These unique features of the proposed methodology may provide future insights into the evolution of turbulent flow structures. Published version 2014-05-26T02:02:20Z 2019-12-06T21:27:59Z 2014-05-26T02:02:20Z 2019-12-06T21:27:59Z 2014 2014 Journal Article Mishra, M., Liu, X., Skote, M., & Fu, C.-W. (2014). Kolmogorov spectrum consistent optimization for multi-scale flow decomposition. Physics of Fluids, 26(5), 055106-. https://hdl.handle.net/10356/104184 http://hdl.handle.net/10220/19443 10.1063/1.4871106 179367 en Physics of fluids © 2014 AIP Publishing LLC. This paper was published in Physics of Fluids and is made available as an electronic reprint (preprint) with permission of AIP Publishing LLC. The paper can be found at the following official DOI: [http://dx.doi.org/10.1063/1.4871106]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. application/pdf |
| spellingShingle | DRNTU::Engineering::Mechanical engineering Mishra, M. Liu, X. Skote, M. Fu, C.-W. Kolmogorov spectrum consistent optimization for multi-scale flow decomposition |
| title | Kolmogorov spectrum consistent optimization for multi-scale flow decomposition |
| title_full | Kolmogorov spectrum consistent optimization for multi-scale flow decomposition |
| title_fullStr | Kolmogorov spectrum consistent optimization for multi-scale flow decomposition |
| title_full_unstemmed | Kolmogorov spectrum consistent optimization for multi-scale flow decomposition |
| title_short | Kolmogorov spectrum consistent optimization for multi-scale flow decomposition |
| title_sort | kolmogorov spectrum consistent optimization for multi scale flow decomposition |
| topic | DRNTU::Engineering::Mechanical engineering |
| url | https://hdl.handle.net/10356/104184 http://hdl.handle.net/10220/19443 |
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