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对于被动分散的拉格朗日流网络:标记物与有限大小的粒子对比
Deoclécio Valente1, Ksenia Guseva2, Ulrike Feudel1
1<a href="https://ror.org/033n9gh91">Carl-von-Ossietzky Universität Oldenburg</a>, D-26111 Oldenburg, Germany.
Physical review. E
|September 19, 2024
概括
标记粒子近似可能不准确地预测惯性粒子的运动,影响对海洋生物和工业流动的预测. 粒子特性,流动动力学和岛屿几何学显著影响运输概率.
科学领域:
- 流体动力学 流体动力学
- 颗粒物运输 颗粒物运输
- 海洋学 海洋学 海洋学
背景情况:
- 海洋生物和工业颗粒的运输和分布通常是使用痕迹颗粒来建模的.
- 对于复杂流中的惯性粒子的追踪器近似值的准确性尚不清楚.
研究的目的:
- 理论上研究用于模拟惯性粒子运输的标记粒子近似的准确性.
- 构建拉格朗日流网络,以了解水力动力流中的岛屿之间的连接.
主要方法:
- 制定了一个二维的动力流场与岛屿和·卡尔曼街道模拟混合.
- 研究了具有不同斯托克斯数的惯性粒子的运输概率.
主要成果:
- 惯性粒子的运输概率取决于粒子特性 (斯托克斯数),流动特性和岛屿几何.
- 在气溶和气泡之间观察到强烈的分离.
- 惯性粒子的移动性与标记物或中性浮动粒子有很大的不同.
结论:
- 追踪器近似可能无法准确预测粒子运动,导致预测不一致.
- 这些发现对于了解海洋生物,种子,垃圾和工业颗粒的命运至关重要.
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