한국가시화정보학회지 (Journal of the Korean Society of Visualization)

  • 제16권2호
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  • Pages.23-30
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  • 2018
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  • 1598-8430(pISSN)
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  • 2093-808X(eISSN)
한국가시화정보학회 (The Korean Society of Visualization)
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VIC# 자료동화 기법을 통해 재구축된 유동장의 상사성에 관한 비교 연구

A Comparative Study on Similarity of Flow Fields Reconstructed by VIC# Data Assimilation Method

  • 투고 : 2018.07.27
  • 심사 : 2018.08.18
  • 발행 : 2018.08.31
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초록

The present study compares flow fields reconstructed by data assimilation method with different combinations of parameters. As a data assimilation method, Vortex-in-Cell-sharp (VIC#), which supplements additional constraints and multigrid approximation to Vortex-in-Cell-plus (VIC+), is used to reconstruct flow fields from scattered particle tracks. Two parameters, standard deviation of Gaussian radial basis function (RBF) and grid spacing, are mainly tested using artificial data sets which contain few particle tracks. Consequent flow fields are analyzed in terms of flow structure sizes. It is demonstrated that sizes of the flow structures are proportional to an actual scale of the standard deviation of RBF. It implies that a combination of larger grid spacing and smaller standard deviation which preserves the actual standard deviation is able to save computational resources in case of a low track density. In addition, a simple comparison using an experimental data filled with dense particle tracks is conducted.

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참고문헌

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