Proper Orthogonal Decomposition and Statistical Analysis of 2D Confined Impinging Jets Chaotic Flow

被引：5

作者：

Torres, Pedro ^{[1
,2
]}

Goncalves, Nelson D. ^{[1
]}

Fonte, Claudio P. ^{[2
]}

Dias, Madalena M. ^{[1
]}

Lopes, Jose Carlos B. ^{[1
]}

Line, Alain ^{[3
]}

Santos, Ricardo J. ^{[1
]}

机构：

[1] Univ Porto, Lab Separat & React Engn, Dept Chem Engn, Lab LSRE LCM,Fac Engn, Rua Dr Roberto Frias, P-4200465 Porto, Portugal

[2] Univ Manchester, Sch Chem Engn & Analyt Sci, Oxford Rd, Manchester M13 9PL, Lancs, England

[3] Univ Toulouse, LISBP, INSA, INRA,CNRS, Toulouse, France

来源：

CHEMICAL ENGINEERING & TECHNOLOGY | 2019年 / 42卷 / 08期

关键词：

Chaotic flows; Computational fluid dynamics; Confined impinging jets; Proper orthogonal decomposition; DYNAMICS;

D O I：

10.1002/ceat.201900050

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

Proper orthogonal decomposition (POD) is shown to be a statistical operation that identifies the main characteristics of chaotic flows and separates them into a few modes. The dynamic chaotic flow is obtained from two-dimensional (2D) computational fluid dynamics simulations, for different Reynolds numbers, of a confined impinging jets mixer. POD enables reconstruction of the dynamic flow from a few modes that are related to coherent flow structures. The POD flow reconstruction enables a large compression of the flow data set. The decomposition of the flow field into orthogonal modes related to coherent structures provides direct insight into the mixing dynamics and scales which are not accessible from flow dynamics statistic quantities, which were introduced in the context of turbulence and are here applied to chaotic flow.

引用

页码：1709 / 1716

页数：8

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