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首页> 外文期刊>International Journal of Offshore and Polar Engineering >Numerical Simulation for Sloshing Behavior of Moss-type LNG Tank Based on an Improved SPH Model
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Numerical Simulation for Sloshing Behavior of Moss-type LNG Tank Based on an Improved SPH Model

机译:基于改进的SPH模型的苔藓型LNG罐晃动的数值模拟

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In our previous research, a series of numerical simulations based on smoothed particle hydrodynamic (SPH) theory was performed, and these showed a good correlation with the model test results. However, the accuracy of the numerical prediction was highly dependent on the particle size used in the SPH model, which usually results in a computation-time-consuming problem for three-dimensional simulations. In this research, the SPH model was improved to obtain similar prediction accuracy with larger particles. A smoothed-boundary model (SBM) was proposed to better describe a boundary with complex geometry. An unphysical gap was clearly observed. Quantitative discussion of the relationship between the size of this unphysical gap and the particle size was presented based on a two-dimensional benchmark test. Dummy boundary conditions were applied to solve the unphysical gap problem caused by the original dynamic boundary conditions. The accuracy for prediction of the sloshing load was significantly enhanced by using dummy boundary conditions. Finally, the influence of the SBM on the local pressure and local particle distribution near the solid boundary was addressed.
机译:在我们以前的研究中,进行了一系列基于平滑粒子流体动力学(SPH)理论的数值模拟,并且这些数值模拟与模型测试结果显示出良好的相关性。然而,数值预测的准确性高度依赖于SPH模型中使用的粒度,这通常导致三维仿真的计算耗时问题。在本研究中,改进了SPH模型,以获得具有较大粒子的类似预测精度。提出了一种平滑的边界模型(SBM)以更好地描述具有复杂几何形状的边界。清楚地观察到不受神经间隙。基于二维基准测试,介绍了这种不受神经间隙的尺寸与粒度之间的关系的定量讨论。应用伪边界条件来解决原始动态边界条件引起的不受神经间隙问题。通过使用虚设的边界条件,显着提高了用于预测晃动负荷的精度。最后,解决了SBM对实心边界附近局部压力和局部粒子分布的影响。

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