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Efficiency of Trigonometric and Eigen Function Methods for Simulating Ocean Wave Profile


Affiliations
1 Department of Civil and Environmental Engineering, Universiti Teknologi Petronas, Bandar Universiti, Seri Iskandar, 32610, Malaysia
 

The series representation of ocean wave surface elevation profile using an existing spectral energy density can be achieved by linear superposition of terms in an expansion. This study demonstrates that the use of Karhunen-Loeve (K-L) expansion in which the eigenfunctions of Prolate Spheroidal Wave Functions (PSWFs) are used can be correlated with Fourier and constrained new wave approach in terms of computer cost required (3.225x103s, 3.0615x103s and 1.3221x104s respectively) in the wave simulation (maximum difference of 0.007% and minimum of 0.077%). It have also been demonstrated that the use of K-L with PSWFs can significantly reduce the number of the terms required to represent the wave which can greatly reduce the computational effort required in the statistical analysis of response from large offshore structures.

Keywords

Fourier Coefficients, K-L-PSWFs, Wave Simulation
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  • Efficiency of Trigonometric and Eigen Function Methods for Simulating Ocean Wave Profile

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Authors

Ahmad Idris
Department of Civil and Environmental Engineering, Universiti Teknologi Petronas, Bandar Universiti, Seri Iskandar, 32610, Malaysia
Indra Sati Hammonangan Harahap
Department of Civil and Environmental Engineering, Universiti Teknologi Petronas, Bandar Universiti, Seri Iskandar, 32610, Malaysia
Montasir Osman Ali
Department of Civil and Environmental Engineering, Universiti Teknologi Petronas, Bandar Universiti, Seri Iskandar, 32610, Malaysia

Abstract


The series representation of ocean wave surface elevation profile using an existing spectral energy density can be achieved by linear superposition of terms in an expansion. This study demonstrates that the use of Karhunen-Loeve (K-L) expansion in which the eigenfunctions of Prolate Spheroidal Wave Functions (PSWFs) are used can be correlated with Fourier and constrained new wave approach in terms of computer cost required (3.225x103s, 3.0615x103s and 1.3221x104s respectively) in the wave simulation (maximum difference of 0.007% and minimum of 0.077%). It have also been demonstrated that the use of K-L with PSWFs can significantly reduce the number of the terms required to represent the wave which can greatly reduce the computational effort required in the statistical analysis of response from large offshore structures.

Keywords


Fourier Coefficients, K-L-PSWFs, Wave Simulation



DOI: https://doi.org/10.17485/ijst%2F2017%2Fv10i4%2F139588