On the validity of numerical wind-driven rain simulation on a rectangular low-rise building under various oblique winds

Abuku, Masaru; Blocken, Bje Bert; Nore, Kristine; Thue, Jan Vincent; Carmeliet, Jan; Roels, Staf

doi:10.1016/j.buildenv.2008.05.003

Cited by 62 publications

(33 citation statements)

References 25 publications

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“…Note that detailed values of  can only be obtained by numerical simulation, because the number of WDR gauges on facades is usually limited in measurements and empirical formula can only allow a rough estimate of WDR. For the methodology and a discussion of the accuracy of such numerically determined catch ratios the reader is referred to Blocken and Carmeliet [14] and Abuku et al [23]. The difference between determined WDR load and the actual moisture load on the surface, due to the splashing and bouncing of raindrops, is discussed in Abuku et al [24], based on numerical and experimental investigations.…”

Section: Wdr Load On Building Facadesmentioning

confidence: 99%

Impact of wind-driven rain on historic brick wall buildings in a moderately cold and humid climate: Numerical analyses of mould growth risk, indoor climate and energy consumption

Abuku

Janssen

Roels

2009

Energy and Buildings

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115

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Section: Wdr Load On Building Facadesmentioning

confidence: 99%

Impact of wind-driven rain on historic brick wall buildings in a moderately cold and humid climate: Numerical analyses of mould growth risk, indoor climate and energy consumption

Abuku

Janssen

Roels

2009

Energy and Buildings

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115

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“…The CFD model used was validated for a low-rise VLIET test building of complex geometry and for a range of different rain events [25,26]. More recently, the model was also successfully validated for another low-rise building [45], for two different high-rise buildings [46,47] and for an array of low-rise buildings [14]. These studies provide confidence for the extrapolated use of the CFD model for different building configurations and different rain events.…”

Section: Discussionmentioning

confidence: 93%

Impact, runoff and drying of wind-driven rain on a window glass surface: Numerical modelling based on experimental validation

Blocken

Carmeliet

2015

Building and Environment

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“…Turbulent dispersion of droplets is due to the turbulent motions modeled by the third term on the left-hand side. Turbulent dispersion was neglected in many earlier WDR modeling efforts [9,10,20,22,23,27,30] and discrepancies of the numerical results at lower wind speed regions were mainly attributed to the neglect of turbulent dispersion. In the EM model, by defining a response coefficient, C t , velocity fluctuations in rain phases can be related to the velocity fluctuations in wind:…”

Section: Governing Equationsmentioning

confidence: 99%

Wind-driven rain on two parallel wide buildings: Field measurements and CFD simulations

Kubilay

Derome

Blocken

et al. 2015

Journal of Wind Engineering and Industrial Aerodynamics

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Most studies of wind-driven rain (WDR) reported in the literature focus either on isolated buildings or on a particular building in geometrically complex environments. There is a need for experimental and numerical studies for more generic multi-building geometries. The present study reports detailed field measurements and numerical simulations of WDR that are conducted for an idealized geometry with two parallel wide buildings with different heights, located in Dübendorf, Switzerland. The datasets of rain events and WDR measurements with high spatial and temporal resolution are made available online to download and are intended for model development and validation. Numerical simulations are performed with computational fluid dynamics (CFD) based on the 3D steady Reynolds-averaged Navier-Stokes (RANS) equations and an Eulerian multiphase (EM) model for WDR, including the turbulent dispersion of raindrops. The numerical results are validated by comparing the calculated catch ratio values and cumulative WDR amounts with data from the field measurements. The CFD simulations accurately estimate the WDR intensities at the positions of 18 WDR gauges. The average discrepancies between the numerical and experimental results are found to be 6.9% for the rain event on February 20-21, 2014 and 4.9% for the rain event on August 2-3, 2014. In different building configurations, the influences of recirculation regions, sheltering, wind-blocking effect and acceleration of wind determine the WDR distribution on the downstream building. WDR can increase due to recirculation regions and acceleration of wind, while wind-blocking effect and sheltering decrease WDR.

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On the validity of numerical wind-driven rain simulation on a rectangular low-rise building under various oblique winds

Cited by 62 publications

References 25 publications

Impact of wind-driven rain on historic brick wall buildings in a moderately cold and humid climate: Numerical analyses of mould growth risk, indoor climate and energy consumption

Impact of wind-driven rain on historic brick wall buildings in a moderately cold and humid climate: Numerical analyses of mould growth risk, indoor climate and energy consumption

Impact, runoff and drying of wind-driven rain on a window glass surface: Numerical modelling based on experimental validation

Wind-driven rain on two parallel wide buildings: Field measurements and CFD simulations

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