2017
DOI: 10.1051/sbuild/2017006
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CFD optimisation of a stadium roof geometry: a qualitative study to improve the wind microenvironment

Abstract: Abstract. The complexity of the built environment requires the adoption of coupled techniques to predict the flow phenomena and provide optimum design solutions. In this study, coupled computational fluid dynamics (CFD) and response surface methodology (RSM) optimisation tools are employed to investigate the parameters that determine the wind comfort in a two-dimensional stadium model, by optimising the roof geometry. The roof height, width and length are evaluated against the flow homogeneity at the spectator… Show more

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Cited by 8 publications
(8 citation statements)
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“…The current existing stadium design optimization studies focus on the modifications of roof configuration. Sofotasiou et al 17 conducted a non-parametric regression analysis to optimize both symmetric and asymmetric roof designs by using coupled CFD-response surface methodology optimization tools, in order to create enhanced wind environmental conditions. Both types of optimal roof designs satisfied the maximum allowed wind comfort thresholds of 3.6 m=s for stadiums.…”
Section: Previous Related Workmentioning
confidence: 99%
“…The current existing stadium design optimization studies focus on the modifications of roof configuration. Sofotasiou et al 17 conducted a non-parametric regression analysis to optimize both symmetric and asymmetric roof designs by using coupled CFD-response surface methodology optimization tools, in order to create enhanced wind environmental conditions. Both types of optimal roof designs satisfied the maximum allowed wind comfort thresholds of 3.6 m=s for stadiums.…”
Section: Previous Related Workmentioning
confidence: 99%
“…The solution was solved using ANSYS Fluent 15.0 with a finite volume method. The 2-equation k-ε model was selected for turbulence simulation, for it has been widely used in studies on urban wind environment [11,[50][51][52][53]. A standard wall function was used, and the solution algorithm was the SIMPLE algorithm.…”
Section: Zonementioning
confidence: 99%
“…A joint study by the Universities of Sheffield and Qatar (Sofotasiou, Hughes, & Ghani, 2017) investigated "the parameters that determine the wind comfort in a twodimensional stadium model." The study comprised of two separate geometry optimisations; symmetric and asymmetric terraces.…”
Section: Previous Related Workmentioning
confidence: 99%
“…The use of natural shading, however, must be adapted for stadium design. With the findings of the roof optimisation study (Sofotasiou et al, 2017) suggesting a smaller terrace reduces the wind velocities inside the stadium bowl, a preliminary conclusion is drawn to hypothesise that a larger terrace will encourage wind velocities to be used as a form of natural ventilation whilst providing increased levels of shading to the pitch. Qatar's average windspeed of 8mph (Ghani et al, 2017) (3.6m/s) suggests that natural ventilation is a viable solution but would result in a high Reynold's number and hence yield unpredictable, turbulent wind patterns.…”
Section: Previous Related Workmentioning
confidence: 99%
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