Efficient Extraction of Vortex Structures by Coupling Proper Orthogonal Decomposition (POD) and High-Dimensional Model Representation (HDMR) Techniques

摘要

Spatially evolving and temporally developing fluid flow patterns are encountered in wide-spectrum fluid thermal problems. The time and length scales of eddies involved may vary over a few orders of magnitude. Often, simultaneous detection, identification, and characterization of small- and large-scale eddies, and persistent structures such as coherent structures, are crucial. The amount of scientific data generated either in a wind tunnel or in a virtual numerical tunnel through computational fluid dynamics is too voluminous for both storage and handling. To this end, a variety of data analysis and feature extraction tools, which rely on model reduction and efficient on-the-fly reconstruction, are highly desirable. In this article, we introduce a novel and efficient yet cheaper reconstruction strategy that enables a symbiotic coupling between two such techniques, viz., proper orthogonal decomposition (POD) and high-dimensional model representation (HDMR).View full textDownload full textRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/10407790.2012.655645