首页> 外文期刊>International Journal of Computational Fluid Dynamics >Application of point implicit Runge-Kutta methods to inviscid and laminar flow problems using AUSM and AUSM+ upwinding
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Application of point implicit Runge-Kutta methods to inviscid and laminar flow problems using AUSM and AUSM+ upwinding

机译:点隐式Runge-Kutta方法在使用AUSM和AUSM + 上绕的无粘性和层流问题中的应用

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Explicit Runge-Kutta methods preconditioned by a pointwise matrix valued preconditioner can significantly improve the convergence rate to approximate steady state solutions of laminar flows. This has been shown for central discretisation schemes and Roe upwinding. Since the first-order approximation to the inviscid flux assuming constant weighting of the dissipative terms is given by the absolute value of the Roe matrix, the construction of the preconditioner is rather simple compared to other upwind techniques. However, in this article we show that similar improvements in the convergence rates can also be obtained for the AUSM+ scheme. Following the ideas for the central and Roe schemes, the preconditioner is obtained by a first-order approximation to the derivative of the convective flux. Viscous terms are included into the preconditioner considering a thin shear layer approximation. A complete derivation of the derivative terms is shown. In numerical examples, we demonstrate the improved convergence rates when compared with a standard explicit Runge-Kutta method accelerated with local time stepping.View full textDownload full textKeywordsAUSM and AUSM+ upwinding, point implicit preconditioner, inviscid flow, laminar flow, Runge-Kutta methodsRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/10618562.2011.590801
机译:用逐点矩阵值预处理器进行预处理的显式Runge-Kutta方法可以显着提高收敛速度,以近似层流的稳态解。中央离散化方案和Roe迎风显示了这一点。由于假定耗散项的权重不变,对无粘性通量的一阶近似由Roe矩阵的绝对值给出,因此与其他迎风技术相比,预处理器的构造相当简单。但是,在本文中,我们表明,对于AUSM + 方案,收敛速度也可以得到类似的改善。遵循中心和Roe方案的思想,通过对流通量的导数的一阶逼近来获得预处理器。考虑到薄剪切层的近似值,粘性条件包含在预处理器中。显示了导数项的完整推导。在数值示例中,我们证明了与采用局部时间步长加速的标准显式Runge-Kutta方法相比,收敛速度有所提高。查看全文下载全文关键字AUSM和AUSM +迎风,点隐式预处理器,无粘性流,层流,Runge-Kutta方法addthis_config = {ui_cobrand:“泰勒和弗朗西斯在线”,servicescompact:“ citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,更多”,发布:“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/10618562.2011.590801

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