Reconstruction of Three Dimensional Velocity Distributions from Limited Vectors Using Fuzzy Inference.
Reconstruction of Three Dimensional Velocity Distributions from Limited Vectors Using Fuzzy Inference.
复制标题
使用模糊推理从有限向量重建三维速度分布。
DOI：
10.3154/jvs.20.165
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发表时间：
2000
期刊：
影响因子：
--
通讯作者：
K. Okamoto
中科院分区：
文献类型：
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作者：
T. Takagi;K. Okamoto
摘要研究了瞬态流动中的三维速度分布，以分析流动特性。利用PIV（粒子成像测速仪）的粒子图像可以重建流速分布。然而，由于颗粒的观察点只有100-1000数量级，因此无法直接测量整个流场的三维流动分布。模糊推理方法提供了一种从几个测量速度矢量估计整个流速矢量场的新方法。利用实测速度矢量构造模糊推理后，用体面方法将模糊推理参数调整为连续性方程。该技术可通过网站（http://www.vsj.or.jp/piv）的三维PIV标准图像进行验证。仿真结果也验证了该方法的有效性。
Toshiyuki TAKAGI and Koji OKAMOTO ABSTRACT The three-dimensional flow velocity distribution in a transient flow is significantly investigated to analyze the flow characteristics. The flow velocity distributions can be reconstructed by the use of particle images from a PIV (particle imaging velocimetry). However, the three dimensional flow distributions in the whole flow field cannot be measured directly because the observing points of the particles are the order of only 100-1000. Fuzzy inference method offers a new technique to estimate the whole flow velocity vector fields from a few measured velocity vectors. After the fuzzy inference is constructed by the measured velocity vectors, the parameters of the fuzzy inference are tuned to the continuity equation by the decent method. This technique can be verified by the three-dimensional PIV standard images from the web site (http://www.vsj.or.jp/piv). The effectiveness of the present technique is also demonstrated by the simulation results.