Improved buoyancy-drag model based on mean density profile and mass conservation principle

IF 2.7 3区 数学 Q1 MATHEMATICS, APPLIED
Qi-xiang Li (李玘祥) , You-sheng Zhang (张又升)
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引用次数: 0

Abstract

Rayleigh–Taylor (RT) and Richtmyer–Meshkov (RM) turbulent mixing occur frequently in various natural phenomena and practical engineering applications. Accurate prediction of the evolution of mixing width, which comprises the bubble mixing width (BMW) and spike mixing width (SMW), holds significant scientific and engineering importance. Over the past several decades, buoyancy-drag models have been widely used to predict this evolution, but these models exhibit several limitations. In this paper, we propose a new buoyancy-drag model that incorporates additional physical constraints. The new model posits that the evolutions of the BMW and SMW are interrelated and mutually dependent. Consequently, we innovatively introduce the principle of mass conservation to link the evolution of SMW to that of BMW. The BMW is modeled using an ordinary differential equation (ODE) that includes inertial force, drag, and buoyancy terms. Accurate modeling of the inertial force term requires knowledge of the mean density profile, which we analytically derived for any density ratio by improving the previous density-ratio-invariant mean-species profile theory. The form and coefficient of the drag term were determined inversely by imposing the constraint that the ODE must predict the physical evolution of RM mixing. For the buoyancy term, we accounted for the entrainment phenomenon by introducing a density-ratio-dependent buoyancy coefficient additionally. The specific form of this coefficient was derived by requiring that the ODE predict the physical evolution of RT mixing as the density ratio approaches 1. Using a single set of coefficients, the new model successfully predicted the physical evolution of the mixing width across different density ratios and acceleration histories. This study enhances both the accuracy and robustness of the buoyancy-drag model.
基于平均密度分布和质量守恒原理的改进浮阻模型
雷利-泰勒(RT)和里氏-梅什科夫(RM)湍流混合在各种自然现象和实际工程应用中经常出现。混合宽度包括气泡混合宽度(BMW)和尖峰混合宽度(SMW),准确预测混合宽度的演变具有重要的科学和工程意义。在过去的几十年中,浮力-阻力模型被广泛用于预测这种演变,但这些模型表现出一些局限性。在本文中,我们提出了一种新的浮力-阻力模型,该模型纳入了更多的物理约束条件。新模型认为,BMW 和 SMW 的演变是相互关联、相互依赖的。因此,我们创新性地引入了质量守恒原理,将 SMW 的演变与 BMW 的演变联系起来。BMW 采用常微分方程(ODE)建模,其中包括惯性力、阻力和浮力项。惯性力项的精确建模需要了解平均密度剖面,我们通过改进之前的密度比不变平均种群剖面理论,分析得出了任何密度比的平均密度剖面。阻力项的形式和系数是通过对 ODE 必须预测 RM 混合的物理演变这一约束条件反向确定的。对于浮力项,我们通过额外引入一个与密度比相关的浮力系数来考虑夹带现象。该系数的具体形式是通过要求 ODE 预测当密度比接近 1 时 RT 混合的物理演变而得出的。使用单组系数,新模型成功预测了不同密度比和加速度历史下混合宽度的物理演变。这项研究提高了浮力-阻力模型的准确性和稳健性。
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来源期刊
Physica D: Nonlinear Phenomena
Physica D: Nonlinear Phenomena 物理-物理:数学物理
CiteScore
7.30
自引率
7.50%
发文量
213
审稿时长
65 days
期刊介绍: Physica D (Nonlinear Phenomena) publishes research and review articles reporting on experimental and theoretical works, techniques and ideas that advance the understanding of nonlinear phenomena. Topics encompass wave motion in physical, chemical and biological systems; physical or biological phenomena governed by nonlinear field equations, including hydrodynamics and turbulence; pattern formation and cooperative phenomena; instability, bifurcations, chaos, and space-time disorder; integrable/Hamiltonian systems; asymptotic analysis and, more generally, mathematical methods for nonlinear systems.
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