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首页> 外文期刊>International Journal for Numerical Methods in Fluids >Computing non-Newtonian fluid flow with radial basis function networks
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Computing non-Newtonian fluid flow with radial basis function networks

机译:利用径向基函数网络计算非牛顿流体流量

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摘要

This paper is concerned with the application of radial basis function networks (RBFNs) for solving non-Newtonian fluid flow problems. Indirect RBFNs, which are based on an integration process, are employed to represent the solution variables; the governing differential equations are discretized by means of point collocation. To enhance numerical stability, stress-splitting techniques are utilized. The proposed method is verified through the computation of the rectilinear and non-rectilinear flows in a straight duct and the axisymmetric flow in an undulating tube using Newtonian, power-law, Criminale-Ericksen-Filbey (CEF) and Oldroyd-B models. The obtained results are in good agreement with the analytic and benchmark solutions. Copyright (c) 2005 John Wiley & Sons, Ltd.
机译:本文涉及径向基函数网络(RBFN)在解决非牛顿流体流动问题中的应用。基于集成过程的间接RBFN用于表示解决方案变量。控制微分方程通过点搭配离散化。为了增强数值稳定性,使用了应力分裂技术。通过使用牛顿,幂律,克里米亚-埃里克森-菲尔贝(CEF)和Oldroyd-B模型计算直管中的直线和非直线流动以及波状管中的轴对称流动,对所提出的方法进行了验证。所得结果与分析和基准解决方案非常吻合。版权所有(c)2005 John Wiley&Sons,Ltd.

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