In this article, we address the solution of advection-dominated flow problems by stabilised methods, by means of least-squares computed stabilised coefficients. As main methodological tool, we introduce a data-driven off-line/on-line strategy to compute them with low computational cost. We compare the errors provided by the least-squares stabilised coefficients to those provided by several previously established stabilised coefficients within the solution of advection-diffusion and Navier-Stokes flows, on structured and un-structured grids, with and Lagrange Finite Elements up to third degree of interpolation. In all tested flows the least-squares stabilised coefficients provide quasi-optimal errors. We conclude that the least-squares procedure is a rewarding procedure, worth to be applied to general stabilised solutions of general flow problems.
翻译:在本篇文章中,我们通过稳定方法,通过最小方位计算稳定系数,解决消化中占主导地位的流量问题。作为主要的方法工具,我们引入了一种数据驱动的离线/在线战略,以低计算成本来计算它们。我们比较了最小方位稳定系数所提供的错误与先前在结构化和无结构化电网中,在结构化和非结构化电网中,在结构化和无结构化电网中,在结构化和无结构化菲尼特元素中,在第三层次的内插中,我们采用了数据驱动的离线/在线/在线战略,以低计算成本来计算它们。我们的结论是,最小方位稳定系数所提供的错误是一种有益的程序,值得应用于一般流程问题的一般稳定解决方案。