Response to Stochastic Wind of N -Degree Tall Buildings

Abstract

Herein, wind is modeled as a planar multivariate stochastic process whose temporal and spatial correlation structure is specified from measured wind data. Wind forces are simulated in the time domain at specified floor levels of a tall building on the digital computer. The tall building is modeled as a planar multidegree-of-freedom system and its dynamic response to wind samples are obtained to yield displacement, velocity, acceleration, and rate of change of acceleration time histories. Response calculation by superposition of a finite number of normal modes illustrates participation of each and the effect of damping on each. The contribution of higher modes to the response is suggested to be significant for serviceability and human comfort. Even though strength and stability criteria are sufficiently calculable by the fundamental mode, the higher response parameters such as acceleration and the rate of change of acceleration have significant contributions from the higher modes and could be important factors in the assessment of human awareness levels and serviceability criteria.