Statistical analysis of wind-induced pressure fields and PIV measurements on two buildings

Bubryur Kim, K. T. Tse, Akihito Yoshida, Yukio Tamura, Zengshun Chen, Pham Van Phuc, Hyo Seon Park

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23 Citations (Scopus)


This study investigated the aerodynamic characteristics of two tall buildings through an independent component analysis (ICA) and principal component analysis (PCA) of wind-induced pressure fields. The pressure patterns identified by ICA and PCA were compared using the wind pressures on two building models measured in a series of wind tunnel tests under five cases consisting of different gaps between two buildings. To further investigate the flow patterns, particle image velocimetry was employed to measure the instantaneous wind flow patterns. The ICA results in the 1st, 2nd, and 4th modes indicated different pressure distributions on the inside building surfaces for different gaps, while the 3rd mode indicated a suction phenomenon on the outside and leeward surfaces; the PCA results indicated that the gap only influenced the pressure on the inside surfaces in the first four modes. Only the first PCA mode had a higher correlation with the original data than the ICA modes, and the ICA modes generally had higher correlations than the other modes. In wind forces, the 1st and 3rd PCA modes provided similar information, whereas all the ICA modes provided different information. Overall, ICA provided more diverse information than PCA, which yielded rather limited and homogenous information.

Original languageEnglish
Pages (from-to)161-174
Number of pages14
JournalJournal of Wind Engineering and Industrial Aerodynamics
Publication statusPublished - 2019 May

Bibliographical note

Funding Information:
This work was supported by a National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIP) (No. 2011-0018360 and 2018R1A5A1025137 ). The work described in this paper was supported by the Research Grants Council of the Hong Kong Special Administrative Region, China (HKSAR Project no. 16205515 )This research was supported by the joint research project of the Wind Engineering Joint Usage/Research Center, Tokyo Polytechnic University (grant number 162003 ). The work described in this paper was partially supported by 111 project of China (Grant No. B18062 ).

Publisher Copyright:
© 2019 Elsevier Ltd

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Renewable Energy, Sustainability and the Environment
  • Mechanical Engineering


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