Fuzzy performance between surface fitting and energy distribution in turbulence runner.
Fuzzy performance between surface fitting and energy distribution in turbulence runner.
复制标题
湍流流道中表面拟合与能量分布的模糊性能
DOI：
10.1100/2012/408949
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发表时间：
2012
影响因子：
--
通讯作者：
Brauwer RK
中科院分区：
文献类型：
--
作者：
Liang Z;Liu X;Ye B;Brauwer RK
由于曲面拟合算法的应用对动能分布的数学特征产生了相当大的模糊影响，因此必须定量分析不同外部条件参数下它们之间的关系机理。通过计算动能参数确定选定的各代表位置坐标点的动能值，应用几种典型的复杂曲面拟合算法，利用所获得的动能值构建目标紊流流道内的微动能分布曲面模型。在计算新提出的数学特征的基础上，构造了模糊评价数据序列，提出了一种新的三维模糊定量评价方法;从而可以清晰地量化动能分布面特征的数值变化趋势，并建立曲面拟合算法性能结果与湍流动能分布面空间特征并对它们各自的环境参数条件进行了详细的定量分析，从而得出了关于固有湍流动能分配性能机理及其数学关系的最终结论。为进一步的湍流能量定量研究提供了保证。
Because the application of surface fitting algorithms exerts a considerable fuzzy influence on the mathematical features of kinetic energy distribution, their relation mechanism in different external conditional parameters must be quantitatively analyzed. Through determining the kinetic energy value of each selected representative position coordinate point by calculating kinetic energy parameters, several typical algorithms of complicated surface fitting are applied for constructing microkinetic energy distribution surface models in the objective turbulence runner with those obtained kinetic energy values. On the base of calculating the newly proposed mathematical features, we construct fuzzy evaluation data sequence and present a new three-dimensional fuzzy quantitative evaluation method; then the value change tendencies of kinetic energy distribution surface features can be clearly quantified, and the fuzzy performance mechanism discipline between the performance results of surface fitting algorithms, the spatial features of turbulence kinetic energy distribution surface, and their respective environmental parameter conditions can be quantitatively analyzed in detail, which results in the acquirement of final conclusions concerning the inherent turbulence kinetic energy distribution performance mechanism and its mathematical relation. A further turbulence energy quantitative study can be ensured.
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