平稳和非平稳不可压缩熔体模型在线性化情况下的独特可解性

IF 1.2 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS
S. Kazhikenova
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引用次数: 0

摘要

本文给出了流体力学方程平稳模型的ε -近似,并证明了一个流体力学方程强广义解的存在性定理。利用考虑能量耗散的水动力方程温度模型解的存在唯一性定理证明了这一点。采用Galerkin方法研究了Navier-Stokes方程,从数值和解析两方面证明了不可压缩粘性流动边值问题的正确性。用具有小参数ε的Cauchy-Kovalevsky方程组构造了流体动力学方程的平稳模型和非平稳模型的近似。提出了一种用有限差分法对Navier - Stokes方程进行数值模拟的算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The unique solvability of stationary and non-stationary incompressible melt models in the case of their linearization
The article presents ε -approximation of hydrodynamics equations’ stationary model along with the proof of a theorem about existence of a hydrodynamics equations’ strongly generalized solution. It was proved by a theorem on the existence of uniqueness of the hydrodynamics equations’ temperature model’s solution, taking into account energy dissipation. There was implemented the Galerkin method to study the Navier–Stokes equations, which provides the study of the boundary value problems correctness for an incompressible viscous flow both numerically and analytically. Approximations of stationary and non-stationary models of the hydrodynamics equations were constructed by a system of Cauchy–Kovalevsky equations with a small parameter ε . There was developed an algorithm for numerical modelling of the Navier– Stokes equations by the finite difference method.
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来源期刊
Archives of Control Sciences
Archives of Control Sciences Mathematics-Modeling and Simulation
CiteScore
2.40
自引率
33.30%
发文量
0
审稿时长
14 weeks
期刊介绍: Archives of Control Sciences welcomes for consideration papers on topics of significance in broadly understood control science and related areas, including: basic control theory, optimal control, optimization methods, control of complex systems, mathematical modeling of dynamic and control systems, expert and decision support systems and diverse methods of knowledge modelling and representing uncertainty (by stochastic, set-valued, fuzzy or rough set methods, etc.), robotics and flexible manufacturing systems. Related areas that are covered include information technology, parallel and distributed computations, neural networks and mathematical biomedicine, mathematical economics, applied game theory, financial engineering, business informatics and other similar fields.
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