A Particle-Based Multiscale Solver for Compressible Liquid-Vapor Flow

被引:3
|
作者
Magiera, Jim [1 ]
Rohde, Christian [1 ]
机构
[1] Univ Stuttgart, Inst Appl Anal & Numer Simulat, Stuttgart, Germany
关键词
Multiscale modeling; Heterogeneous multiscale method; Conservation laws; Compressible two-phase flow; Liquid-vapor flow; Sharp interface resolution; Riemann problem; Particle chain model; Model reduction; Machine learning; WAVES;
D O I
10.1007/978-3-319-91548-7_23
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
To describe complex flowsystems accurately, it is in many cases important to account for the properties of fluid flows on a microscopic scale. In this work, we focus on the description of liquid-vapor flow with a sharp interface between the phases. The local phase dynamics at the interface can be interpreted as a Riemann problem for which we develop a multiscale solver in the spirit of the heterogeneous multiscale method (HMM) [7], using a particle-based microscale model to augment the macroscopic two-phase flow system. The application of a microscale model makes it possible to use the intrinsic properties of the fluid at the microscale, instead of formulating (ad hoc) constitutive relations.
引用
收藏
页码:291 / 304
页数:14
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