An improved algorithm is introduced in this paper for digital simulation of
the stochastic wind velocity held on long-span bridges, when the cross-spe
ctral density matrix of the held is given. The target wind velocity held is
assumed to be a one-dimensional, multivariate, homogeneous stochastic proc
ess. The basic method of simulation used is the spectral representation met
hod. It is improved by explicitly expressing Cholesky's decomposition of th
e cross-spectral density matrix in the form of algebraic formulas, then cut
ting off as many as possible of the cosine terms, so long as the accuracy o
f results is not affected. The fast Fourier transform technique is used to
enhance the efficiency of computation. A numerical example of simulation fo
r buffeting analysis is included in this paper to illustrate the improved m
ethod introduced. It is demonstrated that deviations between the simulated
correlation functions and the target are sufficiently small and that the si
mulated power spectra are close to the target.