Abstract
An efficient method to determine expeditiously autoregressive moving average (ARMA) algorithms for simulating realizations of multivariate random processes with a specified (target) spectral matrix is presented from a perspective of wind engineering applicability. The computation of the parameters of the ARMA model is accomplished by relying on the minimization of frequency domain errors. The usefulness of the new method is demonstrated by considering a trivariate wind velocity spectrum.
Original language | English (US) |
---|---|
Pages (from-to) | 429-438 |
Number of pages | 10 |
Journal | Journal of Wind Engineering and Industrial Aerodynamics |
Volume | 36 |
Issue number | PART 1 |
DOIs | |
State | Published - 1990 |
ASJC Scopus subject areas
- Civil and Structural Engineering
- Renewable Energy, Sustainability and the Environment
- Mechanical Engineering