在对数格子上的可逆纳维埃-斯托克斯方程
Guillaume Costa1, Amaury Barral1, Bérengère Dubrulle1
1Université Paris-Saclay, CEA, CNRS, SPEC, 91191 Gif-sur-Yvette, France.
Physical review. E
|July 19, 2023
概括
本研究使用高分辨率模拟来探索可逆纳维埃-斯托克斯 (RNS) 方程. 我们发现了二次阶段过渡,证实了平均场理论,并支持流模型的加拉沃蒂推测.
科学领域:
- 流体动力学 流体动力学
- 统计力学 统计力学
- 计算物理 计算物理
背景情况:
- 可逆的纳维埃-斯托克斯 (RNS) 方程通过通过动态粘度保持恒定的能量或度来修改消耗性NS方程.
- 之前的光谱直接数值模拟探索了RNS,但对参数模式有局限性.
研究的目的:
- 调查一个线性,强迫的RNS系统,使用Fourier空间中的日志格子来提高分辨率.
- 探索超出先前模拟范围的参数模式.
- 检查相位过渡,并验证RNS模型的加拉沃蒂假设.
主要方法:
- 将RNS方程投射到日志格子上,用于光谱模拟.
- 在极高分辨率下进行数值模拟.
- 分析了使用非尺寸化的强迫和质作为参数的相位过渡.
- 将RNS和NS统计数据进行比较,以测试Gallavotti猜测的调整.
主要成果:
- 证实了二次阶段过渡,很好地描述了平均场兰道理论.
- 在较低的分辨率下观察到一个不完美的过渡,偏离了平均场预测.
- 发现与1D可逆Leith流模型的质量一致.
- 在RNS和NS模型之间统计等效的推导条件.
结论:
- 高分辨率的日志格模拟显示了RNS系统中的相位过渡.
- 结果支持了加拉沃蒂猜测,显示了非平衡系统中平均数量的集体等价性.
- 该研究强调了解决方案对过渡特征的影响.
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