Simulation of fluctuating wind speed time series applied onoverpass bridges with resorting to ARMA model

The main objective of the paper is to simulate the fluctuating wind velocity time series applied on overpass bridges with resorting to the auto-regressive moving average (ARMA) model in the white noise filtration method (WNFM). Taking into account both the time and space correlativity of the wind speed, the expressions of the ARMA model were derived with the unequal orders of auto-regressive (AR) and moving-regressive (MA) components. Then, based on Kaimal spectrum, the simulation of the wind velocity time histories on a real overpass bridge was carried out utilizing the ARMA model. Through comparing the simulated values of wind speed spectral density, auto-and cross-correlation functions with the corresponding target values, the feasibility of the method proposed was corroborated.