• DocumentCode
    2019387
  • Title

    Application of Surfer in Predicting Wind Field on Structure

  • Author

    Ying-ge, Wang ; Zheng-nong, Li

  • Author_Institution
    Key Lab. of Building Safety & Energy Efficiency, Hunan Univ., Changsha
  • Volume
    1
  • fYear
    2008
  • fDate
    17-18 Oct. 2008
  • Firstpage
    51
  • Lastpage
    54
  • Abstract
    Proper orthogonal decomposition (POD) method could decompose fluctuating wind pressure into proper mode space-related and principal coordinate time-related. For predicting wind field on structure´s surface, this paper worked out a Matlab program decomposing & restructuring wind pressure time interval sequence, which realized its interfacing with the Surfer software whose space interpolation capacity is powerful, and applied Grid concept plus geographical statistical method- Kriging method to define & interpolate data of measuring taps. Simultaneously, the time interval data of wind pressure on low houses´ roof collected in measuring test were analyzed via triangulation with linear interpolation & Kriging method. The result indicates: restructured wind pressure sequence gradually approaches to surveyed conclusion as restructuring-participant mode increases in number; Kriging method produces better predictive accuracy.
  • Keywords
    atmospheric pressure; barometers; geophysics computing; interpolation; mathematics computing; wind; Kriging method; Matlab program; Structure; Surfer software; fluctuating wind pressure decomposition; geographical statistical method-; proper orthogonal decomposition method; space interpolation capacity; wind field prediction; Energy efficiency; Extraterrestrial measurements; Interpolation; Laboratories; Matrix decomposition; Pressure measurement; Safety; Software measurement; Time measurement; Wind forecasting; Kriging method; Surfer; prediction of wind pressure; proper orthogonal decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design, 2008. ISCID '08. International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3311-7
  • Type

    conf

  • DOI
    10.1109/ISCID.2008.38
  • Filename
    4725555