Wind-driven rain distributions on two buildings

Karagiozis, Achilles; Hadjisophocleous, George; Cao, Shixiong

doi:10.1016/s0167-6105(97)00100-1

Cited by 47 publications

(15 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Karagiozis et al [20] using computer simulations based on fluid dynamics determined the R 1 and R 2 coefficients. For inclinations higher than 90°, R 1 = 1 and R 2 = 0, while for vertical surfaces (inclination = 90°) R 1 = 0 and R 2 depends on the height.…”

Section: Wufimentioning

confidence: 99%

Wind-driven rain incidence parameters obtained by hygrothermal simulation

et al. 2016

View full text Add to dashboard Cite

The association of rain and wind composes wind-driven rain (WDR), and its incidence may be crucial to the emergence of anomalies on the facades of buildings. Moisture from the WDR can influence the humidification and drying process, therefore the durability and hygrothermal performance are conditioned by the amount of incident water. The quantification of WDR can be an indispensable tool for understanding its related phenomena and the service life of buildings. The most widely used methods of quantification are the semi-empirical, with theoretical basis, but coefficients partially determined from measurements. These methods may take into account the building exposure conditions related to the envelope, solar orientation, height of the building, and other parameters. In this context, in order to contribute to the studies on quantification of WDR, the purpose of this paper is to apply hygrothermal simulation software WUFI Ò on quantification of WDR focusing on buildings degradation of Brasília-Brazil. For the simulation it was used a Typical Meteorological Year file with the wind and precipitation measurement data indispensable for simulation. The quantification of incidence of WDR considered the orientations North, Northeast, East, Southeast, South, Southwest, West, and Northwest. The use of semi-empirical WUFI Ò quantification method allowed finding the highest values and consequently critical orientations North, Northwest, and Northeast, moreover, this results showed the relation with the degradation of facades in these orientations. WUFI proved to be an easy, fast and efficient method of WDR quantification, without hiding seasonal weather effects.

show abstract

Section: Wufimentioning

confidence: 99%

Wind-driven rain incidence parameters obtained by hygrothermal simulation

et al. 2016

View full text Add to dashboard Cite

show abstract

“…Especially the vast increase of the use of CFD in WDR studies in the past 15 years (e.g. [1][2][3][4][5][6][7][8][9][10]) and the subsequent need for CFD model validation have strengthened the need for adequate experimental WDR databases. Although a large amount of measurements have been performed in the past, a review of the literature has pointed out that only very few of these have been published in a form that can be suitable for model development and model validation.…”

Section: Introductionmentioning

confidence: 99%

High-resolution wind-driven rain measurements on a low-rise building—experimental data for model development and model validation

Blocken

Carmeliet

2005

Journal of Wind Engineering and Industrial Aerodynamics

View full text Add to dashboard Cite

“…An example of such a quantification of driving rain exposure in several Canadian cities is presented by Zhu et al (1995). At this point, it should be noted that the building's geometry plays an important role in the amounts of driving rain impinging onto its vertical surfaces (Karagiozis et al, 1997;Choi, 1999). Furthermore, different parts of a building's vertical surface are subjected to different rain loads (Karagiozis et al, 1997;Choi, 1994aChoi, , 1999Künzel, 1994a;Van Mook, 2002;Blocken and Carmeliet, 2005;Nore et al, 2007).…”

Section: Introductive Discussionmentioning

confidence: 99%

“…Wind speed in days, in the duration of which rainfall events occur, and the wind speed for days without rain in 1981in , 1988in , 1993in , 1997in and 2001 where T (1C), hourly temperature; RH ( À ), hourly ambient air relative humidity; p out (Pa), partial vapor pressure at the outdoor air; p sat (Pa), vapor saturation pressure at given temperature; P atm (Pa), total atmospheric pressure; w out (kg water/kg air), humidity ratio of the outer air; w sat (kg water/kg air), humidity ratio at vapor saturation.…”

Section: Mathematical Formulationmentioning

confidence: 99%