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On the computation of the Baer-Nunziato model using ALE formulation with HLL- and HLLC-type solvers towards fluid-structure interactions

机译:关于使用ALE公式和HLL型和HLLC型解算器计算Baer-Nunziato模型的流-固相互作用

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Computation of compressible two-phase flows with the unsteady compressible Baer-Nunziato model in conjunction with the moving grid approach is discussed in this paper. Both HLL- and HLLC-type Finite-Volume methods are presented and implemented in the context of Arbitrary Lagrangian-Eulerian formulation in a multidimensional framework. The construction of suitable numerical methods is linked to proper approximations of the non-conservative terms on moving grids. The HLL discretization follows global conservation properties such as free-stream preservation and uniform pressure and velocity profiles preservation on moving grids. The HLLC solver initially proposed by Tokareva and Toro [1] for the Baer-Nunziato model is based on an approximate solution of local Riemann problems containing all the characteristic fields present in the exact solution. Both "subsonic" and "supersonic" configurations are considered in the construction of the present HLLC solver. In addition, an adaptive 6-wave HLLC scheme is also proposed for computational efficiency. The methods are first assessed on a variety of 1-D Riemann problems including both fixed and moving grids applications. The methods are finally tested on 2-D and 3-D applications: 2-D Riemann problems, a 2-D shock-bubble interaction and finally a 3-D fluid-structure interaction problem with a good agreement with the experiments. (C) 2015 Elsevier Inc. All rights reserved.
机译:本文讨论了利用非定常可压缩的Baer-Nunziato模型结合移动网格方法计算可压缩的两相流。在多维框架中,在任意拉格朗日-欧拉公式的背景下,提出并实现了HLL型和HLLC型有限体积方法。合适的数值方法的构造与运动网格上非保守项的适当近似有关。 HLL离散化遵循全局守恒属性,例如自由流保持和在移动网格上保持均匀的压力和速度分布。 Tokareva和Toro [1]最初为Baer-Nunziato模型提出的HLLC解算器是基于局部Riemann问题的近似解,其中包含精确解中存在的所有特征场。在本HLLC求解器的构造中考虑了“亚音速”和“超音速”两种配置。此外,还提出了一种自适应的6波HLLC方案以提高计算效率。首先针对包括固定和移动网格应用在内的各种一维黎曼问题评估方法。这些方法最终在2-D和3-D应用程序上进行了测试:2-D黎曼问题,2-D冲击-气泡相互作用以及最后的3-D流体-结构相互作用问题,与实验吻合得很好。 (C)2015 Elsevier Inc.保留所有权利。

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