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	Author	García-Sánchez, C.; Philips, D.A.; Gorlé, C.
	Title	Quantifying inflow uncertainties for CFD simulations of the flow in downtown Oklahoma City			Type	A1 Journal article
	Year	2014	Publication	Building and environment	Abbreviated Journal	Build Environ
	Volume	78	Issue		Pages	118-129
	Keywords	A1 Journal article; Engineering sciences. Technology; Electron microscopy for materials research (EMAT)
	Abstract	Computational Fluid Dynamics (CFD) methods are widely used to investigate wind flow and dispersion in urban environments. Validation with field experiments that represent the full complexity of the problem should be performed to assess the predictive capabilities of the computations. In this context it will be necessary to quantify the effect of uncertainties in simulations of the full-scale problem. The present study aims at quantifying the uncertainty related to the variability in the inflow boundary conditions for Reynolds-averaged Navier-Stokes (RANS) simulations of the flow in downtown Oklahoma City to address validation with the Joint Urban 2003 field measurements. Three uncertain inflow parameters were defined: the wind speed and wind direction at a reference height, and the aerodynamic roughness in the logarithmic velocity inlet profile. An ensemble of 729 RANS simulations were performed to determine the polynomial chaos expansion coefficients that define the response surfaces for the velocity magnitude and direction at 13 field measurement stations, and the results are compared to the experimental data. For the velocity magnitude the mean experimental velocity magnitude is encompassed within the 95% confidence interval for the magnitudes predicted by the Uncertainty Quantification study in all stations. For the velocity direction this holds in 11 out of 13 locations. The study demonstrates the significant potential of applying advanced uncertainty quantification methods to address validation with field measurements and to develop a more realistic approach to the definition of inflow boundary conditions in atmospheric CFD simulations. (C) 2014 Elsevier Ltd. All rights reserved.
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	Corporate Author				Thesis
	Publisher		Place of Publication	Oxford	Editor
	Language		Wos	000338619700013	Publication Date	2014-05-02
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	0360-1323;	ISBN		Additional Links	UA library record; WoS full record; WoS citing articles
	Impact Factor	4.053	Times cited	29	Open Access
	Notes				Approved	Most recent IF: 4.053; 2014 IF: 3.341
	Call Number	UA @ lucian @ c:irua:118632			Serial	2742
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