Random-field models offer a means of calculating failure probabilities associated with various limit state criteria. In this paper, three common random field generators are evaluated regarding their accuracy, efficiency, ease of implementation, and ease of use. The three algorithms evaluated include: 1) the fast Fourier transform (FFT) method, 2) the Turning bands method (TBM), and 3) the local average subdivision (LAS) method. In each examination, an ensemble of realizations of a two-dimensional homogeneous Gauss-Markov process is generated and the field mean, variance, and covariance structures are checked for statistical accuracy. The author indicates that each method has distinct advantages and disadvantages, and the choice of algorithm will depend on the particular application. Guidelines and suggestions are presented to minimize problems associated with each method.


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  • Accession Number: 00670349
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Dec 28 1994 12:00AM