Data Interpolation Methods by Inverse Distance Weighted Average Method between Multidisciplines

Abstract:

In this article, to handle data exchange between different grid systems efficiently and accuracy, the accuracy of inverse distance weighted average method is researched by different searching radius and exponent parameter. The result is compared with other two interpolation methods, radial basis function interpolation and local triangular projection method. The result shows that the search radius and exponential parameter of inverse distance weighted average interpolation method have not significant influence on interpolation result when radius is large.

• Periodical: Advanced Materials Research (Volumes 1044-1045)
• Pages: 620-623
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1044-1045.620
• Online since: October 2014
• Authors: Fan Yang*, Wei Zhu Yang
• Keywords: Data Exchange, FSI, Inverse Distance Weighted Average Method

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