Research on Efficiency Improvement of CFD Computation Based on Cluster Analysis

Zou Changjun, Yin Yong
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Abstract

The paper involves an improved vector field clustering algorithm, which has achieved good performance when incorporated into the analysis of vector field. Additionally, a weighted K-means algorithm is presented, which is more appropriate for the analysis of scalar field clustering. The improved algorithm has better clustering results on the scalar field, which are more consistent with the physical laws by comparison. Ultimately, the algorithm is put in use for the CFD calculation. The number of iterations is decreased and the convergence speed is accelerated after the clustering algorithm is adopted for better initial condition.
基于聚类分析的CFD计算效率提升研究
本文提出了一种改进的向量场聚类算法,将其应用到向量场分析中,取得了良好的性能。此外,提出了一种更适合于标量场聚类分析的加权K-means算法。改进后的算法在标量场上的聚类结果更好,与物理规律更一致。最后,将该算法应用于CFD计算。采用聚类算法得到较好的初始条件,减少了迭代次数,加快了收敛速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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