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Grid adaptation with WENO schemes for non-uniform grids to solve convection-dominated partial differential equations

机译:使用WENO方案对非均匀网格进行网格自适应以求解对流占优的偏微分方程

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The numerical solution of non-stationary convection-dominated partial differential equations (PDEs), as for example encountered in the simulation of reverse flow reactors, can be a computationally quite demanding task because of the prevailing steep concentration and temperature gradients. The computational effort can be greatly reduced with higher-order discretisation schemes for the convection terms and with an automatic, local grid adaptation. In this paper, WENO schemes (e.g. Advanced Numerical Approximations of Nonlinear Hyperbolic Equations, Lecture Notes in Mathematics, vol. 1697, Springer, Berlin, 1998, pp..325-432) are used for the convection terms and a local grid adaptation technique is presented that uses the smoothness indicators and interpolation polynomials of the WENO schemes. It is shown that the number of grid cells required to accurately capture steep gradients can be greatly reduced with this grid adaptation technique. Finally, the capabilities of the numerical algorithm is demonstrated for the simulation of a reverse flow reactor. (c) 2005 Elsevier Ltd. All rights reserved.
机译:非稳态对流占优的偏微分方程(PDE)的数值解法,例如在逆流反应器的模拟中遇到,由于普遍存在陡峭的浓度和温度梯度,因此在计算上可能是一项艰巨的任务。通过对流项的高阶离散化方案以及自动的局部网格自适应,可以大大减少计算量。在本文中,WENO方案(例如,非线性双曲方程的高级数值逼近,数学讲义,第1697卷,Springer,柏林,1998年,第325-432页)用于对流项和局部网格自适应技术提出了使用WENO方案的平滑度指标和内插多项式的方法。结果表明,使用这种网格自适应技术可以大大减少精确捕获陡峭梯度所需的网格单元数量。最后,证明了数值算法的能力,用于模拟逆流反应器。 (c)2005 Elsevier Ltd.保留所有权利。

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