Coupling the Navier–Stokes–Fourier equations with the Johnson–Segalman stress-diffusive viscoelastic model: global-in-time and large-data analysis

Michal Bathory, Miroslav Bul'ivcek, J. M'alek
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Abstract

We prove that there exists a~large-data and global-in-time weak solution to a~system of partial differential equations describing an unsteady flow of an incompressible heat-conducting rate-type viscoelastic stress-diffusive fluid filling up a~mechanically and thermally isolated container of any dimension. To overcome the~principle difficulties connected with ill-posedness of the~diffusive Oldroyd-B model in three dimensions, we assume that the~fluid admits a~strengthened dissipation mechanism, at least for excessive elastic deformations. All the~relevant material coefficients are allowed to depend continuously on the~temperature, whose evolution is captured by a~thermodynamically consistent equation. In fact, the~studied model is derived from scratch using only the~balance equations for linear momentum and energy, the~formulation of the~second law of thermodynamics and the~constitutive equation for the~internal energy. The~latter is assumed to be a~linear function of temperature, which simplifies the~model. The~concept of our weak solution incorporates both the~temperature and entropy inequalities, and also the~local balance of total energy provided that the~pressure function exists.
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纳维-斯托克斯-傅里叶方程与约翰逊-塞格曼应力扩散粘弹性模型的耦合:全局实时和大数据分析
我们证明了存在一个描述不可压缩导热速率型粘弹性应力扩散流体在任意维度的机械和热隔离容器中的非稳态流动的偏微分方程系统的大数据和全局时间弱解。为了克服三维空间奥尔德罗伊德-B 衍射模型难以确定的原理困难,我们假定流体具有强化的耗散机制,至少在过度弹性变形时是这样。所有相关的材料系数都可以连续地依赖于温度,而温度的演变则由一个符合热力学的方程来捕捉。事实上,所研究的模型是从零开始推导的,只使用了线性动量和能量的平衡方程、热力学第二定律的公式以及内能的构成方程。假定后者是温度的线性函数,从而简化了模型。我们的弱解概念包含了温度不等式和熵不等式,还包含了总能量的局部平衡,前提是压力函数存在。
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