A method is developed to estimate peak pressure coefficients on low-rise building roofs that utilizes the concepts of Partial Turbulence Simulation. Quasi-Steady (QS) vector models are adopted to capture the large-scale buffeting loads, while statistical models are developed to account for the local pressure fluctuations induced by the small-scale, body-generated turbulence. The model extends that of Guo et al. (2021) for regions of separated flow on low-rise buildings with low-slope roofs to low-rise buildings with gable and hip roofs. Wind tunnel data from multiple building models were employed. The results indicate that a unified model provides good predictions in matching the measured peak area-averaged pressure coefficients for panels of comparable sizes in the leading-edge areas of the low-slope roofs and the leeward faces of the gable and hip roofs. Thus, the method is robust even for flow fields prior to the separation that are distinctly varied. Examination of the peak pressures indicates that both the velocity magnitude and local small-scale fluctuations control the peak pressure coefficients, with the elevation angle having a secondary influence in atmospheric boundary layer wind fields.
Guo et al. (Fri,) studied this question.