论文信息 - Experimental Study on Predicting Wind-Driven Cross-Ventilation Flow Rates and Discharge Coefficients Based on the Local Dynamic Similarity Model

Experimental Study on Predicting Wind-Driven Cross-Ventilation Flow Rates and Discharge Coefficients Based on the Local Dynamic Similarity Model

Abstract It is known that discharge coefficients vary with wind direction and opening position. The local dynamic similarity model of cross-ventilation can select discharge coefficients on this basis. This paper summarizes previous studies on various inflow opening conditions, and describes new studies on outflow openings and the evaluation of ventilation flow rates in two zones based on coupled simulation of the local dynamic similarity model and a simple network model.

Yoshihiko Akamine | Takashi Kurabuchi | Masaaki Ohba | Tomoyuki Endo | Tomonobu Goto

[1] H.P.A.H. Irwin,et al. A simple omnidirectional sensor for wind-tunnel studies of pedestrian-level winds , 1981 .

[2] B. J. Vickery,et al. External wind pressure distributions and induced internal ventilation flow in low-rise industrial and domestic structures , 1987 .

[3] T. Kurabuchi,et al. Local dynamic similarity concept as applied to evaluation of discharge coefficients of ventilated buildings. Part 1: Basic idea and underlying wind tunnel tests , 2006 .

[4] Yoshihiko Akamine,et al. Local Dynamic Similarity Model of Cross-Ventilation Part 1 - Theoretical Framework , 2004 .