Multi-scale high-performance fluid flow: Simulations through porous media

被引:3
|
作者
Perovic, Nevena [1 ]
Frisch, Jerome [2 ]
Salama, Amgad [3 ]
Sun, Shuyu [3 ]
Rank, Ernst [1 ]
Mundani, Ralf-Peter [1 ]
机构
[1] Tech Univ Munich, Arcisstr 21, D-80333 Munich, Germany
[2] Rhein Westfal TH Aachen, Mathieustr 30, D-52074 Aachen, Germany
[3] King Abdullah Univ Sci & Technol, Thuwal, Saudi Arabia
关键词
High-performance computing; Porous media; Interactive data exploration; Multi-grid-like solver; Parallel computing; Multi-scale approach; Hierarchical data structure; RANDOM PACKING; DERIVATION; TRANSPORT; EQUATIONS;
D O I
10.1016/j.advengsoft.2016.07.016
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Computational fluid dynamic (CFD) calculations on geometrically complex domains such as porous media require high geometric discretisation for accurately capturing the tested physical phenomena. Moreover, when considering a large area and analysing local effects, it is necessary to deploy a multi-scale approach that is both memory-intensive and time-consuming. Hence, this type of analysis must be conducted on a high-performance parallel computing infrastructure. In this paper, the coupling of two different scales based on the Navier-Stokes equations and Darcy's law is described followed by the generation of complex geometries, and their discretisation and numerical treatment. Subsequently, the necessary parallelisation techniques and a rather specific tool, which is capable of retrieving data from the supercomputing servers and visualising them during the computation runtime (i.e. in situ) are described. All advantages and possible drawbacks of this approach, together with the preliminary results and sensitivity analyses are discussed in detail. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:85 / 98
页数:14
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