  This paper presents a methodology for the simulation of non-Gaussian wind
field as a stochastic wave using the 3rd-order Spectral Representation Method.
Traditionally, the wind field is modeled as a stochastic vector process at
discrete locations in space. But the simulation of vector process is well-known
to be computationally challenging and numerically unstable when modeling wind
at a large number of discrete points in space. Recently, stochastic waves have
been used to model the field as a continuous process indexed both in time and
space. We extend the classical Spectral Representation Method for simulation of
Gaussian stochastic waves to a third-order representation modeling
asymmetrically skewed non-Gaussian stochastic waves from a prescribed power
spectrum and bispectrum. We present an efficient implementation using the fast
Fourier transform, which reduces the computational time dramatically. We then
apply the method for simulation of a non-Gaussian wind velocity field along a
long-span bridge.
