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.
