ACCURACY VERIFICATION OF PROCESSING METHODOLOGY IN PARTICLE IMAGE VELOCIMETRY FOR FLOW AROUND BUILDING

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  • KOTANI Hisashi
    Assoc. Prof., Divison of Global Architecture, Graduate School of Engineering, Osaka University, Dr.Eng.
  • KOBAYASHI Tomohiro
    Lect., Department of Urban Engineering, Graduate School of Engineering, Osaka City University, Dr.Eng.

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  • 建物周辺気流を対象とした粒子画像流速測定法における解析手法の精度検証

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Abstract

 Particle Image Velocimetry (PIV) is beneficial means to obtain velocity distribution for both fundamental and applied work in architectural-environment research field, because it enables simultaneous measurement without any contact of devices to the flow. There exist a number of factors that can affect result. It is roughly divided into two types, one is image quality, and the other is analysing method. This paper focuses on effect of several processing parameters in PIV on its accuracy, and mainly investigates cross-correlation algorithm, interrogation window size, and the number of iteration in recursive processing. The objective of this work is to understand an impact of each parameter setting for a highly turbulent and shear flow because it has almost never been shown systematically. As analysis target, the flow around a cross-ventilated room model was adopted. By conducting a parametric study combining above-shown parameters, accuracy of analysed velocity and wind direction is finally studied.

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