Constrained reduced-order models based on proper orthogonal decomposition

被引：9

作者：

Reddy, Sohail R. ^{[1
]}

Freno, Brian A. ^{[2
,4
]}

Cizmas, Paul G. A. ^{[2
]}

Gokaltun, Seckin ^{[3
]}

McDaniel, Dwayne ^{[3
]}

Dulikravich, George S. ^{[1
]}

机构：

[1] Florida Int Univ, Dept Mech & Mat Engn, MAIDROC Lab, 10555 W Flagler St, Miami, FL 33174 USA

[2] Texas A&M Univ, Dept Aerosp Engn, College Stn, TX 77843 USA

[3] Florida Int Univ, Appl Res Ctr, 10555 W Flagler St, Miami, FL 33174 USA

[4] Sandia Natl Labs, Livermore, CA 94550 USA

来源：

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING | 2017年 / 321卷

关键词：

Proper orthogonal decomposition; Reduced-order modeling; Karush-Kuhn-Tucker; Multiphase flows; Computational fluid dynamics; Fluidized beds; REDUCTION; DYNAMICS; SYSTEMS; FLOW;

D O I：

10.1016/j.cma.2017.03.038

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

A novel approach is presented to constrain reduced-order models (ROM) based on proper orthogonal decomposition (POD). The Karush-Kuhn-Tucker (KKT) conditions were applied to the traditional reduced-order model to constrain the solution to user-defined bounds. The constrained reduced-order model (C-ROM) was applied and validated against the analytical solution to the first-order wave equation. C-ROM was also applied to the analysis of fluidized beds. It was shown that the ROM and C-ROM produced accurate results and that C-ROM was less sensitive to error propagation through time than the ROM. (C) 2017 Elsevier B.V. All rights reserved.

引用

页码：18 / 34

页数：17

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