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Large-Scale CFD Data Compression for Building-Cube Method Using Wavelet Transform

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Computational Fluid Dynamics 2010

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Abstract

The goal of this work is to develop a data compression method for large-scale CFD result obtained by a Building-Cube method. A discrete wavelet transform, quantization and entropy coding are employed to compress flow field data.

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References

  1. Kang, H., Lee, D., Lee, D.: A study on CFD data compression using hybrid supercompact wavelets. KSME Int. J. 17(11), 1784–1792 (2003)

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  2. Martin, G.N.: Range encoding: an algorithm for removing redundancy from a digitized message. Video and Data Recording Conference, Southampton, July 24–27 (1979)

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  3. Nakahashi, K.: Building-Cube method for flow problems with broadband characteristic length In: Armfield, S., Morgan, R., Srinivas, K. (eds.) Computational Fluid Dynamics, pp. 77–81. Springer, New York (2003)

    Google Scholar 

  4. Nakahashi, K., Ito, Y., Togashi, F.: Some challenges of realistic flow simulations by unstructured grid CFD. Int. J. Numer. Meth. Fluids 43, 769–783 (2003)

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  5. Takahashi, S., Ishida, T., Nakahashi, K., Kobayashi, H., Okabe, K., Shimomura, Y., Soga, T., Musa, A.: Study of high resolution incompressible flow simulation based on Cartesian mesh. AIAA Paper 2009–563 (2009)

    Google Scholar 

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Acknowledgements

Computations in this paper were implemented by NEC SX-9 at Cyber Science Center, Tohoku University. This work was supported by JSPS KAKENHI 21226018.

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Authors and Affiliations

  1. Department of Aerospace Engineering, Tohoku University, Sendai, 980-8579, Japan

    Ryotaro Sakai, Daisuke Sasaki & Kazuhiro Nakahashi

Authors
  1. Ryotaro Sakai
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  2. Daisuke Sasaki
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  3. Kazuhiro Nakahashi
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Corresponding author

Correspondence to Ryotaro Sakai .

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Editors and Affiliations

  1. , Department of Maths & Mechanics, St Petersburg State University, St Petersburg, Russian Federation

    Alexander Kuzmin

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Sakai, R., Sasaki, D., Nakahashi, K. (2011). Large-Scale CFD Data Compression for Building-Cube Method Using Wavelet Transform. In: Kuzmin, A. (eds) Computational Fluid Dynamics 2010. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17884-9_58

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  • DOI: https://doi.org/10.1007/978-3-642-17884-9_58

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17883-2

  • Online ISBN: 978-3-642-17884-9

  • eBook Packages: EngineeringEngineering (R0)

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