PIV based POD analysis of coherent structures in flow patterns generated by triple interacting buoyant plumes

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Yin, ShiDepartment of Mechanical Engineering, The University of Hong Kong, Hong Kong Special Administrative Region (author)

PIV based POD analysis of coherent structures in flow patterns generated by triple interacting buoyant plumes

Article/chapterEnglish2019

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Elsevier BV,2019
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LIBRIS-ID:oai:DiVA.org:hig-30534
https://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-30534URI
https://doi.org/10.1016/j.buildenv.2019.04.055DOI

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Language:English
Summary in:English

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Subject category:ref swepub-contenttype
Subject category:art swepub-publicationtype

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The paper performs an investigation on multi-scale coherent structures that exist in different flow patterns of triple interacting plumes. Time-averaged and turbulent flow characteristics are first obtained by the two-dimensional (2-D) particle image velocimetry (PIV) technique. Proper orthogonal decomposition (POD) method is then applied to extract the dominant coherent structures. Energy contributions, POD modes, and POD coefficients are systematically explored to understand the spatial-temporal characteristics of the coherent structures. The first three POD modes are most important in the turbulent kinetic energy (TKE). Mode 1, as the most dominant mode, can contain about 10% TKE in an average sense. In addition, the first 12–14 POD modes can totally contribute 50% TKE. Hierarchical four-scale flow structures, independent of the flow patterns, are clearly identified when mode number increases, which are successively characterized by main flows (the 1st scale), larger-scale outer-side vortex rings (the 2nd scale), shear-layer vortex shedding (the 3rd scale), and smaller-scale homogeneous turbulent vortices (the 4th scale). Frequency spectra analysis confirms the co-existence of lower-frequency and higher-frequency periodic cycles in one certain POD mode. Dominant frequencies of the first three POD coefficient series (a1–a3) fall into the range of 0.025–0.187 Hz. Probability density analysis has identified negative/positive peak probability densities of the series a1. Cumulative probabilities of negative and positive coefficients are approximately equivalent during the sampling period.

Subject headings and genre

TEKNIK OCH TEKNOLOGIER Samhällsbyggnadsteknik hsv//swe
ENGINEERING AND TECHNOLOGY Civil Engineering hsv//eng
Coherent structure
Energy contribution
Flow pattern
POD coefficient
POD mode
Triple interacting plumes
Flow fields
Kinetic energy
Kinetics
Principal component analysis
Probability
Shear flow
Turbulent flow
Velocity measurement
Vortex flow
POD modes
Flow patterns
decomposition analysis
particle image velocimetry
plume
probability density function
sampling
spatiotemporal analysis
spectral analysis
vorticity

Added entries (persons, corporate bodies, meetings, titles ...)

Fan, YifanDepartment of Mechanical Engineering, The University of Hong Kong, Hong Kong Special Administrative Region; College of Civil Engineering and Architecture, Zhejiang University, Yuhangtang Road, Hangzhou, China (author)
Sandberg, MatsHögskolan i Gävle,Energisystem och byggnadsteknik(Swepub:hig)msg (author)
Li, YuguoDepartment of Mechanical Engineering, The University of Hong Kong, Hong Kong Special Administrative Region (author)
Department of Mechanical Engineering, The University of Hong Kong, Hong Kong Special Administrative RegionDepartment of Mechanical Engineering, The University of Hong Kong, Hong Kong Special Administrative Region; College of Civil Engineering and Architecture, Zhejiang University, Yuhangtang Road, Hangzhou, China (creator_code:org_t)

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In:Building and Environment: Elsevier BV158, s. 165-1810360-13231873-684X

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By the author/editor: Yin, Shi; Fan, Yifan; Sandberg, Mats; Li, Yuguo

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ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Civil Engineerin ...

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