Abstract The Smoothed Particle Hydrodynamics is one of the most widely used mesh-free numerical method for thermo-fluid dynamics. Due to its Lagrangian nature and simplicity, it is recently gaining popularity in simulating complex physics with large deformations. In this study, the 3D single/two-phase numerical simulations are performed on the Liquid Metal Reactor (LMR) centralized sloshing benchmark experiment using the SPH parallelized using a GPU. In order to capture multi-phase flows with a large density ratio more effectively, the original SPH density and continuity equations are re-formulated in terms of the normalized-density. Based upon this approach, maximum sloshing height and arrival time in various experimental cases are calculated by using both single-phase and multi-phase SPH framework and the results are compared with the benchmark results. Overall, the results of SPH simulations show excellent agreement with all the benchmark experiments both in qualitative and quantitative manners. According to the sensitivity study of the particle-size, the prediction accuracy is gradually increasing with decreasing the particle-size leading to a higher resolution. In addition, it is found that the multi-phase SPH model considering both liquid and air provides a better prediction on the experimental results and the reality.

中文翻译：

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基于多相光滑粒子流体动力学的LMR熔核集中晃荡基准实验的数值模拟

摘要 光滑粒子流体动力学是热流体动力学中应用最广泛的无网格数值方法之一。由于其拉格朗日性质和简单性，它最近在模拟具有大变形的复杂物理方面越来越受欢迎。在本研究中，使用 GPU 并行化的 SPH 在液态金属反应器 (LMR) 集中晃荡基准实验上执行 3D 单/两相数值模拟。为了更有效地捕获具有大密度比的多相流，根据归一化密度重新制定原始 SPH 密度和连续性方程。基于这种方法，使用单相和多相SPH框架计算了各种实验情况下的最大晃荡高度和到达时间，并将结果与​​基准结果进行了比较。总体而言，SPH 模拟的结果在定性和定量方面都与所有基准实验非常吻合。根据粒度的敏感性研究，预测精度随着粒度的减小而逐渐提高，从而导致更高的分辨率。此外，发现同时考虑液体和空气的多相SPH模型对实验结果和实际情况提供了更好的预测。根据粒度的敏感性研究，预测精度随着粒度的减小而逐渐提高，从而导致更高的分辨率。此外，发现同时考虑液体和空气的多相SPH模型对实验结果和实际情况提供了更好的预测。根据粒度的敏感性研究，预测精度随着粒度的减小而逐渐提高，从而导致更高的分辨率。此外，发现同时考虑液体和空气的多相SPH模型对实验结果和实际情况提供了更好的预测。