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ISSN Online: 2379-1748

7th Thermal and Fluids Engineering Conference (TFEC)
SJR: 0.152 SNIP: 0.14 CiteScore™:: 0.5

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Clarivate CPCI (Proceedings) Scopus
May, 15-18, 2022 , Las Vegas, NV, USA


Get access (open in a dialog) pages 427-430
DOI: 10.1615/TFEC2022.emt.040900


The surface pressure coefficient of buildings as a key parameter in the wind-loading design provision is usually obtained from boundary-layer (BL) wind-tunnel tests. Even though BL wind tunnel tests tend to follow the standard setup, use established instruments and equipment to measure flow and pressure over scaled-down building models, and process the data with a common methodology, the inconsistency of results from different BL wind tunnels has been acknowledged as a long-standing issue. Uncertainties of measurements enter at different stages of measurements and data reduction and affect the final results. Dominant factors that cause the non-negligible differences in the surface pressure statistics remain elusive. In view of the wind-tunnel data's instrumental tool for the wind code and standards and its essential role as the reference for CFD model validation, it is imperative to critically evaluate wind-tunnel pressure data and seek insights into this outstanding issue. This work utilizes time-series of roof pressure data of selected cases for a low-rise building model in simulated BL inflows archived in the NIST and TPU aerodynamic databases. Comparison of inflow characteristics, the mean, RMS and expected peak pressure coefficients are presented for the normal wind direction. To identify driving uncertainty sources in obtaining the pressure statistics from the UWO database, uncertainty quantification analysis is performed via Monte Carlo simulation of the uncertainty propagation of elemental uncertainties identified at the instrument level. It will provide an improved understanding of critical measurements, uncertainty sources and may reveal hints as to potential changes in measurements.