Competition between merging and bifurcation in the generalized Rayleigh-Taylor instability.

IF 2.4 3区 物理与天体物理 Q1 Mathematics
Q Cauvet, B Bernecker, B Canaud
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引用次数: 0

Abstract

The nonlinear evolution of bubble and spike fronts growing through the generalized Rayleigh-Taylor instability are studied by numerical simulations and by solving an extension of Alon's [Phys. Rev. E 48, 1008 (1993)2470-004510.1103/PhysRevE.48.1008] statistical model based on the asymptotic velocity of a single-mode bubble and the merging bubble process. In this work, the generalized Rayleigh-Taylor instability includes a frictional force due to collision with a secondary fluid. Depending on its strength the behavior during the nonlinear stage leads to two different regimes: the first is the classical inertial case where the bubble front is known to grow as h∝t^{2} and evolves towards large structures, and the second is the collisional case where the front grows as h∝t and maintains structures of relatively constant size. In this new regime, the importance of adding the bifurcation process, the opposite process of merging, is highlighted.

广义瑞利-泰勒不稳定性中合并与分岔之间的竞争。
通过数值模拟和求解Alon's[物理学]的扩展,研究了气泡和尖峰锋面在广义瑞利-泰勒不稳定性下的非线性演化。基于单模泡的渐近速度和合并泡过程的统计模型[j] .物理学报,1998,8(3):579 - 579。在这项工作中,广义瑞利-泰勒不稳定性包括由于与二次流体碰撞而产生的摩擦力。根据其强度,非线性阶段的行为导致两种不同的状态:第一种是经典惯性情况,其中气泡锋面随着h∝t^{2}而增长并演变成大型结构;第二种是碰撞情况,其中锋面随着h∝t而增长并保持相对恒定的尺寸结构。在这个新制度中,增加分岔过程,即合并的相反过程的重要性得到了强调。
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来源期刊
Physical review. E
Physical review. E 物理-物理:流体与等离子体
CiteScore
4.60
自引率
16.70%
发文量
0
审稿时长
3.3 months
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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