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Parallel edge-based solution of viscoplastic flows with the SUPG/PSPG formulation

机译:SUPG / PSPG配方的基于边缘的粘塑性流平行解决方案

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A parallel edge-based solution of three dimensional viscoplastic flows governed by the steady Navier–Stokes equations is presented. The governing partial differential equations are discretized using the SUPG/PSPG stabilized finite element method on unstructured grids. The highly nonlinear algebraic system arising from the convective and material effects is solved by an inexact Newton-Krylov method. The locally linear Newton equations are solved by GMRES with nodal block diagonal preconditioner. Matrix-vector products within GMRES are computed edge-by-edge (EDE), diminishing flop counts and memory requirements. A comparison between EDE and element-by-element data structures is presented. The parallel computations were based in a message passing interface standard. Performance tests were carried out in representative three dimensional problems, the sudden expansion for power-law fluids and the flow of Bingham fluids in a lid-driven cavity. Results have shown that edge based schemes requires less CPU time and memory than element-based solutions.
机译:提出了由稳定的Navier-Stokes方程控制的三维粘塑性流的基于边的平行解。在非结构网格上,使用SUPG / PSPG稳定有限元方法离散化控制偏微分方程。由对流和材料效应产生的高度非线性代数系统通过不精确的Newton-Krylov方法求解。 GMRES用节点块对角线预处理器求解局部线性牛顿方程。 GMRES中的矩阵向​​量乘积是逐边计算(EDE)的,从而减少了触发器计数和内存需求。提出了EDE和逐个元素的数据结构之间的比较。并行计算基于消息传递接口标准。在代表性的三维问题中进行了性能测试,这是幂律流体的突然膨胀以及盖驱动腔中宾汉姆流体的流动。结果表明,与基于元素的解决方案相比,基于边缘的方案所需的CPU时间和内存更少。

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