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International Journal of Fluid Mechanics Research

Published 6 issues per year

ISSN Print: 2152-5102

ISSN Online: 2152-5110

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.1 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.3 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.0002 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.33 SJR: 0.256 SNIP: 0.49 CiteScore™:: 2.4 H-Index: 23

Indexed in

DIFFERENT APPROACHES TO APPLYING POD ANALYSIS TO 3D3C DATA IN A LARGE MEASUREMENT VOLUME

Volume 45, Issue 3, 2018, pp. 187-201
DOI: 10.1615/InterJFluidMechRes.2018020625
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ABSTRACT

Proper orthogonal decomposition (POD) analysis is performed on volumetric three-component data of a threedimensional flow field. A flow field with 3D vortical structures is selected to examine the "robustness" of the POD analysis in a relatively large measurement domain. These POD results are evaluated in how well they capture the vortical structures in the flow field. Moreover, the POD results of the entire domain are compared to POD analysis applied to subdomains. The subdomain POD analyses include smaller 3D domains, and 2D planes with two or three components of the velocity. Results of the POD analysis of the entire domain capture all the structures in the flow; however, the vortical structures are identified more efficiently in the subdomains. The results also show that confining the subdomains in a direction where the vortices are continuous does not affect the POD spatial modes. The best results are obtained when the POD analysis is applied to a 2D plane perpendicular to the axis of rotation of the vortices. Moreover, a brief discussion is provided about the differences between POD analysis performed using a covariance matrix containing the three velocity vectors and using three covariance matrices for the three components of the vector.

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  1. Cao Jingjing, Ma Zhen, Li Xuesong, Xu Min, 3D proper orthogonal decomposition analysis of engine in-cylinder velocity fields, Measurement Science and Technology, 30, 8, 2019. Crossref

  2. Zhao Ye, Zhang Xiang, Xiong Feng, Liu Shuying, Wang Yao, Liang Changmei, Acquisition of rainfall in ungauged basins: a study of rainfall distribution heterogeneity based on a new method, Natural Hazards, 2022. Crossref

  3. Zhao Ye, Zhang Xiang, Xiong Feng, Wang Xincheng, Gong Li, Urban Design Storm Hyetograph Analysis Based on a New Method Considering Spatiotemporal Variations, Journal of Hydrologic Engineering, 27, 11, 2022. Crossref

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