Abstract

Wind tunnel tests were carried out to investigate the wind pressure distribution of a super high-rise building with a height of 1040m in China. The huge model size led to several technical difficulties, including simulation of large scale wind flow fields, correction of distortion effects caused by tubing systems and synchronization correction for data in batches. To simulate the wind field with an elevation of one kilometer above the ground, custom designed grid and roughness elements were adopted as flow-adjustment passive devices. According to the matrix transfer method, a set of transfer functions for tubing systems with different lengths were established to eliminate the effect of distortion on fluctuating pressure measurement. A correction method based on Generalized Regression Neural Network (GRNN) was proposed to get time-synchronized data of the whole building. After solving these problems, the mean and extreme pressure coefficients were studied for the distribution of wind-induced pressure. For this model with triaxial symmetry, the distribution of wind pressure shows good symmetry. With the increase of height, largest peak positive wind pressure coefficients increase, while smallest peak negative wind pressure coefficients decrease. The solutions to technical problems and the outcome of wind pressure distribution are expected to be useful to engineers and researchers involved in this field.

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