Gappy data: To krig or not to krig?

被引：105

作者：

Gunes, H

Sirisup, S

Karniadakis, GE

机构：

[1] Brown Univ, Div Appl Math, Providence, RI 02912 USA

[2] Istanbul Tech Univ, Dept Mech Engn, TR-80191 Istanbul, Turkey

来源：

JOURNAL OF COMPUTATIONAL PHYSICS | 2006年 / 212卷 / 01期

基金：

美国国家科学基金会;

关键词：

kriging; proper orthogonal decomposition; unsteady flow;

D O I：

10.1016/j.jcp.2005.06.023

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Data recovery and reconstruction methods for unsteady flow fields with spatio-temporal missing data are studied based on proper orthogonal decomposition (POD) and on Kriging interpolation. It is found that for sufficient temporal resolution, POD-based methods outperform Kriging interpolation. However, for insufficient temporal resolution, large spatial gappiness or for flow fields with black zones, Kriging interpolation is more effective. The comparison is performed based on randomly generated laminar and turbulent flow fields obtained from simulations of uniform flow past a circular cylinder. (c) 2005 Elsevier Inc. All rights reserved.

引用

页码：358 / 382

页数：25

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