首页> 美国卫生研究院文献>SpringerPlus >On a bivariate spectral relaxation method for unsteady magneto-hydrodynamic flow in porous media
【2h】

On a bivariate spectral relaxation method for unsteady magneto-hydrodynamic flow in porous media

机译:多孔介质中非稳态磁流体动量的双变量谱松弛方法

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

The paper presents a significant improvement to the implementation of the spectral relaxation method (SRM) for solving nonlinear partial differential equations that arise in the modelling of fluid flow problems. Previously the SRM utilized the spectral method to discretize derivatives in space and finite differences to discretize in time. In this work we seek to improve the performance of the SRM by applying the spectral method to discretize derivatives in both space and time variables. The new approach combines the relaxation scheme of the SRM, bivariate Lagrange interpolation as well as the Chebyshev spectral collocation method. The technique is tested on a system of four nonlinear partial differential equations that model unsteady three-dimensional magneto-hydrodynamic flow and mass transfer in a porous medium. Computed solutions are compared with previously published results obtained using the SRM, the spectral quasilinearization method and the Keller-box method. There is clear evidence that the new approach produces results that as good as, if not better than published results determined using the other methods. The main advantage of the new approach is that it offers better accuracy on coarser grids which significantly improves the computational speed of the method. The technique also leads to faster convergence to the required solution.
机译:本文提出了对频谱弛豫方法(SRM)的实现的重大改进,该方法用于求解在流体流动问题建模中出现的非线性偏微分方程。以前,SRM使用频谱方法对空间中的导数进行离散化,并使用有限差分来对时间进行离散化。在这项工作中,我们试图通过应用频谱方法离散化时空变量中的导数来提高SRM的性能。新方法结合了SRM的弛豫方案,双变量Lagrange插值以及Chebyshev光谱配置方法。该技术在四个非线性偏微分方程组的系统上进行了测试,这些方程组对多孔介质中非定常的三维磁流体动力流动和传质建模。将计算的解决方案与使用SRM,光谱拟线性化方法和Keller-box方法获得的先前发表的结果进行比较。有明显的证据表明,新方法所产生的结果甚至好于使用其他方法确定的已发布结果。新方法的主要优点是,它在较粗的网格上提供了更高的精度,从而显着提高了该方法的计算速度。该技术还可以更快地收敛到所需的解决方案。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号