Simplified Computer Program for Ocean Wave Simulation

  • Authors

    • Ahmad Idris
    • Indra Sati Hamonangan Harahap
    • Montasir Osman Ahmed Ali
    https://doi.org/10.14419/ijet.v7i4.38.27880

    Received date: February 24, 2019

    Accepted date: February 24, 2019

    Published date: December 3, 2018

  • software program, Ocean waves, wave simulation

  • Abstract

    Analysis and design of structures located offshore involves the simulation of the ocean wave process in order to select a design load. This is a rigorous process that involves the solution of difficult mathematical equations. This study presents an efficient computer program for the simulation of the wave. The program was designed in such a way that only the wave parameters for a given location are required as input. The program then simulate the wave using Karhunen-Loeve series representation in which the eigenfunctions of Prolate Spheroidal Wave Functions are developed and used. The use of the program was demonstrated by simulating an example wave.  

  • References

    1. Al-Ghuribi, T. M. Q., et al. “Decommissioning Decision Criteria for Offshore Installations and Well Abandonment.” Engineering Chal-lenges for Sustainable Future - Proceedings of the 3rd International Conference on Civil, Offshore and Environmental Engineering, ICCOEE 2016, 2016.
    2. Idris, A., et al. “Efficiency of Trigonometric and Eigen Function Methods for Simulating Ocean Wave Profile.” Indian Journal of Science and Technology, vol. 10, no. 4, 2017.
    3. Idris, Ahmad, et al. “An Approach for Time-
    4. Dependent Reliability Analysis of Jackup Structures.” Cogent En-gineering, vol. 4, no. 1, Cogent, 2017, doi:10.1080/23311916.2017.1409932.
    5. Mirzadeh, J., et al. “Performance of an Example Jack-up Platform under Directional Random Ocean Waves.” Applied Ocean Research, vol. 54, 2016, pp. 87–100, doi:10.1016/j.apor.2015.10.002.
    6. Osipov, Andrei, and Vladimir Rokhlin. “On the Evaluation of Pro-late Spheroidal Wave Functions and Associated Quadrature Rules.” Applied and Computational Harmonic Analysis, vol. 36, no. 1, Elsevier Inc., 2014, doi:10.1016/j.acha.2013.04.002.
    7. Sclavounos, Paul D. “Karhunen-Loeve Representation of Stochastic Ocean Waves.” Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 468, no. 2145, 2012, pp. 2574–94, doi:10.1098/rspa.2012.0063.
    8. Yu, Q., et al. “New LRFD-Based Design Criteria for Mobile Off-shore Units and Floating Production Installations.” Onepetro.org, https://www.onepetro.org/conference-paper/OTC-27225-MS. Ac-cessed 26 Dec. 2017.

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  • How to Cite

    Idris, A., Sati Hamonangan Harahap, I., & Osman Ahmed Ali, M. (2018). Simplified Computer Program for Ocean Wave Simulation. International Journal of Engineering and Technology, 7(4.38), 1384-1386. https://doi.org/10.14419/ijet.v7i4.38.27880