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.
Skip Nav Destination
Article navigation
September 1983
Research Papers
ARMA Algorithms for Ocean Wave Modeling
P-T. D. Spanos
P-T. D. Spanos
University of Texas, Austin, Tex. 78712
Search for other works by this author on:
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
Download citation file:
Get Email Alerts
Fatigue-Life Prediction of the Optimized Savonius Vertical-Axis Wind Turbine Composite Blades
J. Energy Resour. Technol
RETROFITING NATURAL-GAS FIRED BOILER FOR HYDROGEN COMBUSTION: OPERATIONAL PERFORMANCE AND NOX EMISSIONS
J. Energy Resour. Technol
Assessing Hydrogen-Ammonia Ratios to Achieve Rapid Kernel Inception in Spark Ignition Engines
J. Energy Resour. Technol
Artificial Intelligence for thermal energy storage enhancement: A Comprehensive Review
J. Energy Resour. Technol
Related Articles
Linear Prediction Theory for Digital Simulation of Sea Waves
J. Energy Resour. Technol (September,1981)
Application of Bayesian Forecasting to Change Detection and Prognosis of Gas Turbine Performance
J. Eng. Gas Turbines Power (March,2010)
Improved Current Profile Criteria for Deepwater Riser Design
J. Offshore Mech. Arct. Eng (November,2003)
Random Response Analysis of Preisach Hysteretic Systems With Symmetric Weight Distribution
J. Appl. Mech (March,2002)
Related Chapters
On the Exact Analysis of Non-Coherent Fault Trees: The ASTRA Package (PSAM-0285)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)
Prediction of Coal Mine Gas Concentration Based on Constructive Neural Network
International Conference on Information Technology and Computer Science, 3rd (ITCS 2011)
Research and Application of Piecewise Linear Fitting Algorithm Based on Stock Time Series
International Conference on Computer Technology and Development, 3rd (ICCTD 2011)