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Development of particle tracking algorithms for various types of finite elements in multi-dimensions

机译:多维各种类型有限元的粒子跟踪算法的发展

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摘要

Particle tracking techniques are popular methods for generating pathlines and travel time information, which can be incorporated into solute transport models to account for the advective component of transport. In particular, the accuracy in determining the Lagrangian concentration in the Eulerian-Lagrangian methods (ELMs) depends on both the particle tracking algorithm and concentration interpolation. In the Eulerian-Lagrangian framework, the Lagrangian concentration will also have a large error if the particle tracking algorithm produces a large error in the final location and travel time of a particle because the Lagrangian concentration is obtained by interpolating the concentration of the global nodes surrounding the target point. Oliveira and Baptista (1998) reported that even moderate tracking errors can affect substantially the accuracy and stability of ELMs when solving transport equations, which can lead to the instability of otherwise stable and very accurate ELMs.
机译:粒子跟踪技术是用于生成路径和行进时间信息的流行方法,可以将其合并到溶质传输模型中以说明传输的对流成分。特别是,在欧拉-拉格朗日方法(ELM)中确定拉格朗日浓度的准确性取决于粒子跟踪算法和浓度插值。在欧拉-拉格朗日框架中,如果粒子跟踪算法在粒子的最终位置和传播时间上产生较大误差,则拉格朗日浓度也将具有较大的误差,因为拉格朗日浓度是通过对周围的全局节点的浓度进行插值获得的目标点。 Oliveira和Baptista(1998)报告说,即使中等程度的跟踪误差,在求解运输方程时也会极大地影响ELM的准确性和稳定性,这可能导致原本稳定且非常精确的ELM不稳定。

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