Three different algorithms are presented for simulating a time series which is compatible with a given power spectrum of ocean waves. The first algorithm generates the current value of the time series as the sum of a linear combination of its past values and a white noise deviate. The second algorithm produces the values of the time series as a linear combination of white noise deviates. The third algorithm is a combination of the first and second algorithms. These algorithms are applied to the Pierson-Moskowitz (P-M) spectrum, exclusively. The third algorithm is associated with simple analog filter approximations of the P-M spectrum. The advantages and disadvantages of each of the three algorithms are discussed in context with their applicability to offshore engineerng problems.
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September 1983
Research Papers
ARMA Algorithms for Ocean Wave Modeling
P-T. D. Spanos
P-T. D. Spanos
University of Texas, Austin, Tex. 78712
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P-T. D. Spanos
University of Texas, Austin, Tex. 78712
J. Energy Resour. Technol. Sep 1983, 105(3): 300-309 (10 pages)
Published Online: September 1, 1983
Article history
Received:
September 13, 1982
Revised:
April 28, 1983
Online:
October 22, 2009
Citation
Spanos, P. D. (September 1, 1983). "ARMA Algorithms for Ocean Wave Modeling." ASME. J. Energy Resour. Technol. September 1983; 105(3): 300–309. https://doi.org/10.1115/1.3230919
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