Regularization method for calibrated POD reduced-order models

被引：0
|
作者：
Abou El Majd, Badr [1 ]
Cordier, Laurent [2 ]
机构：
[1] Univ Hassan 2, Fac Sci Ain Chock, LIAD Lab, Casablanca, Morocco
[2] Inst PPrime, F-86962 Futuroscope, France
来源：
CSNDD 2014 - INTERNATIONAL CONFERENCE ON STRUCTURAL NONLINEAR DYNAMICS AND DIAGNOSIS | 2014年 / 16卷
关键词：
D O I：
10.1051/matecconf/20141606001
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this work we present a regularization method to improve the accuracy of reduced-order models based on Proper Orthogonal Decomposition. The bench mark configuration retained corresponds to a case of relatively simple dynamics: a two-dimensional flow around a cylinder for a Reynolds number of 200. Finally, we show for this flow configuration that this procedure is efficient in term of reduction of errors.
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