Recovery towards self-similarity in Rayleigh-Taylor instability under stepwise and sinusoidal acceleration reversals.

IF 2.2 3区 物理与天体物理 Q2 PHYSICS, FLUIDS & PLASMAS
Nicholas Pak, Elise Theriot, Denis Aslangil, Andrew Lawrie, Arindam Banerjee
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Abstract

The dynamic properties of an interfacial flow between heavy and light incompressible fluids that are initially Rayleigh-Taylor unstable and are subjected to an external acceleration field oriented in opposition to the density gradient are studied. Rayleigh-Taylor instability occurs in nature with a constant acceleration driven by gravity. However, there are some engineering applications, such as high-energy-density processes observed in inertial and magnetic confined fusion capsules where the acceleration field is not constant. In those applications, Rayleigh-Taylor instability is known to evolve under time-varying acceleration profiles, a phenomenon also observed in supernova formation. Here, we perform implicit large-eddy simulations of density stratification under time-dependent acceleration profiles. Most earlier studies of Rayleigh-Taylor instability under variable acceleration have used a sequence of step functions to simulate acceleration reversals (accel-decel-accel). For the current study, we use a sinusoidal profile, which allows a smoother transition between acceleration and deceleration, and represents smooth transitions that occur in engineering and astrophysical applications. For various imposed acceleration profiles, we compare spatially averaged statistics of the evolving flow against a straightforward and widely utilized scaling, the double integral of acceleration. It will be shown here that this scaling allows distinction between the mean behaviors due to the stepwise and the smooth acceleration profiles and, importantly, that the flow tends to move towards self-similar evolution quicker when the acceleration profile is smoother.

逐步和正弦加速度逆转下瑞利-泰勒不稳定性的自相似性恢复。
研究了一种初始为瑞利-泰勒不稳定且受到与密度梯度相反的外加速度场作用的重、轻不可压缩流体界面流动的动力学特性。瑞利-泰勒不稳定性发生在自然界中,由重力驱动的恒定加速度。然而,也有一些工程应用,例如在惯性和磁约束聚变胶囊中观察到的高能量密度过程,其中加速度场不是恒定的。在这些应用中,瑞利-泰勒不稳定性在随时间变化的加速度曲线下演化,这种现象也在超新星形成中观察到。在这里,我们在随时间变化的加速度剖面下进行隐式大涡密度分层模拟。早期对变加速度下瑞利-泰勒不稳定性的研究大多使用一系列阶跃函数来模拟加速度逆转(加速-减速-加速)。对于目前的研究,我们使用正弦曲线,它允许在加速和减速之间更平稳地过渡,并代表在工程和天体物理应用中发生的平稳过渡。对于各种施加的加速度曲线,我们将不断变化的流动的空间平均统计数据与一种简单且广泛使用的尺度进行比较,即加速度的二重积分。这里将显示,这种缩放允许区分由于逐步和平滑加速曲线而产生的平均行为,重要的是,当加速曲线更平滑时,流倾向于更快地向自相似演化方向移动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Physical Review E
Physical Review E PHYSICS, FLUIDS & PLASMASPHYSICS, MATHEMAT-PHYSICS, MATHEMATICAL
CiteScore
4.50
自引率
16.70%
发文量
2110
期刊介绍: Physical Review E (PRE), broad and interdisciplinary in scope, focuses on collective phenomena of many-body systems, with statistical physics and nonlinear dynamics as the central themes of the journal. Physical Review E publishes recent developments in biological and soft matter physics including granular materials, colloids, complex fluids, liquid crystals, and polymers. The journal covers fluid dynamics and plasma physics and includes sections on computational and interdisciplinary physics, for example, complex networks.
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