skip to main content

The Wave Heights Distribution of Random Wave Based on Ocean Basin

*Nurman Firdaus  -  Indonesian Hydrodynamics Laboratory, Center for Hydrodynamics Technology, Agency for the Assessment and Application of Technology (BPPT), Indonesia
Baharuddin Ali scopus  -  Indonesian Hydrodynamics Laboratory, Center for Hydrodynamics Technology, Agency for the Assessment and Application of Technology (BPPT), Indonesia
Mochammad Nasir  -  Indonesian Hydrodynamics Laboratory, Center for Hydrodynamics Technology, Agency for the Assessment and Application of Technology (BPPT), Indonesia
M Muryadin  -  Indonesian Hydrodynamics Laboratory, Center for Hydrodynamics Technology, Agency for the Assessment and Application of Technology (BPPT), Indonesia
Open Access Copyright (c) 2020 Kapal: Jurnal Ilmu Pengetahuan dan Teknologi Kelautan under http://creativecommons.org/licenses/by-sa/4.0.

Citation Format:
Cover Image
Abstract

The wave height parameter in ocean waves is one of the important information for a marine structure design. The present paper investigates the results of wave heights distribution from laboratory-generated for single sea state. Data of the random wave time series collected at the ocean basin are analyzed using the wave spectrum and compared with the theoretical spectrum in this study. The random wave data is varied with four sea states consisting of sea states 3, 4, 5 and 6 obtained from laboratory measurements. The parameter conditions of generated sea waves are represented by a value of significant wave height and wave peak period in the range of sea states. The individual wave heights data in each sea state are presented in the form of exceedance probability distribution and the predictions using a linear model. This study aims to estimate the wave heights distribution using the Rayleigh and Weibull distribution model. Furthermore, the accuracy of the wave heights distribution data's prediction results in each sea state has been compared and examined for both models. The applied linear models indicate similar and reasonable estimations on the observed data trends.

Fulltext View|Download

Article Metrics:

  1. T. Thevasiyani and K. Perera, “Statistical analysis of extreme ocean waves in Galle, Sri Lanka,” Weather and Climate Extremes, vol. 5, pp. 40–47, 2014
  2. J. Zhang, M. Benoit, O. Kimmoun, A. Chabchoub, and H.-C. Hsu, “Statistics of extreme waves in coastal waters: large scale experiments and advanced numerical simulations,” Fluids, vol. 4, no. 2, p. 99, 2019
  3. M. Prevosto, H. E. Krogstad, and A. Robin, “Probability distributions for maximum wave and crest heights,” Coastal Engineering, vol. 40, no. 4, pp. 329–360, 2000
  4. C. G. Soares and R. Pascoal, “Experimental Study of the Probability Distributions of Green Water on the Bow of Floating Production Platforms,” Journal of Offshore Mechanics and Arctic Engineering, vol. 127, no. 3, pp. 234–242, 2004
  5. Z. Cherneva, P. Petrova, N. Andreeva, and C. G. Soares, “Probability distributions of peaks, troughs and heights of wind waves measured in the black sea coastal zone,” Coastal Engineering, vol. 52, no. 7, pp. 599–615, 2005
  6. T. Q. Tuan and D. Q. Cuong, “Distribution of wave heights on steep submerged reefs,” Ocean Engineering, vol. 189, p. 106409, 2019
  7. I. Karmpadakis, C. Swan, and M. Christou, “Assessment of wave height distributions using an extensive field database,” Coastal Engineering, vol. 157, p. 103630, 2020
  8. M. S. Longuet-Higgins, “On the statistical distribution of the height of sea waves,” JMR, vol. 11, pp. 245–266, 1952
  9. C. Li, D. Yu, and Y. Gao, “Crest-height distribution of nonlinear random waves,” Journal of Ocean University of China, vol. 9, pp. 31–36, 2010
  10. G. Z. Forristall, “On the statistical distribution of wave heights in a storm,” Journal of Geophysical Research: Oceans, vol. 83, no. C5, pp. 2353–2358, 1978
  11. C. Guedes Soares and A. N. Carvalho, “Probability Distributions of Wave Heights and Periods in Measured Combined Sea-States from the Portuguese Coast ,” Journal of Offshore Mechanics and Arctic Engineering, vol. 125, no. 3, pp. 198–204, 2003
  12. M. A. Tayfun and F. Fedele, “Wave-height distributions and nonlinear effects,” Ocean engineering, vol. 34, no. 11–12, pp. 1631–1649, 2007
  13. Y. Wang, “Transformed Rayleigh distribution of trough depths for stochastic ocean waves,” Coastal Engineering, vol. 133, pp. 106–112, 2018
  14. V. S. Kumar, S. Harikrishnan, and S. Mandal, “Wave crest height distribution during the tropical cyclone period,” Ocean Engineering, vol. 197, p. 106899, 2020
  15. J. A. Battjes and H. W. Groenendijk, “Wave height distributions on shallow foreshores,” Coastal engineering, vol. 40, no. 3, pp. 161–182, 2000
  16. V. Katsardi and C. Swan, “An experimental study of shallow water wave statistics on mild bed slopes,” in International Conference on Offshore Mechanics and Arctic Engineering, 2011, vol. 44342, pp. 711–719
  17. Y. Wu, D. Randell, M. Christou, K. Ewans, and P. Jonathan, “On the distribution of wave height in shallow water,” Coastal Engineering, vol. 111, pp. 39–49, 2016
  18. P. G. Petrova and C. G. Soares, “Probability distributions of wave heights in bimodal seas in an offshore basin,” Applied Ocean Research, vol. 31, no. 2, pp. 90–100, 2009
  19. P. G. Petrova and C. G. Soares, “Wave height distributions in bimodal sea states from offshore basins,” Ocean engineering, vol. 38, no. 4, pp. 658–672, 2011
  20. I. F. Glen, R. B. Paterson, and L. Luznik, “Sea operational profiles for structural reliability assessment, Ship Structure Committee, Report No,” SSC-406, Washington, DC, 1999
  21. M. Olagnon, K. Ewans, G. Forristall, and M. Prevosto, “West Africa Swell Spectral Shapes,” 2013, vol. Volume 2B: Structures, Safety and Reliability
  22. E. B. Djatmiko, “Perilaku dan Operabilitas Bangunan Laut di Atas Gelombang Acak,” ITS-Press. Surabaya. Inonesia, 2012
  23. E. B. L. Mackay, “8.03 - Resource Assessment for Wave Energy,” in Comprehensive Renewable Energy, A. Sayigh, Ed. Oxford: Elsevier, 2012, pp. 11–77
  24. J. M. J. Journée and J. A. Pinkster, “Offshore hydromechanics,” TUDelft, Faculty of Marine Technology, Ship Hydromechanics Laboratory, Report No. 1112-K, Lecture Notes, 1997
  25. ITTC, “Laboratory Modelling of Waves: regular, irregular and extreme events,” in ITTC - Recommended Procedure and Guidelines, 2017, pp. 1–12
  26. R. M. Gorman, “Estimation of directional spectra from wave buoys for model validation,” Procedia Iutam, vol. 26, pp. 81–91, 2018
  27. Y. Wang, “Predicting absorbed power of a wave energy converter in a nonlinear mixed sea,” Renewable Energy, vol. 153, pp. 362–374, 2020

Last update:

  1. A novel framework for predicting active flow control by combining deep reinforcement learning and masked deep neural network

    Yangwei Liu, Feitong Wang, Shihang Zhao, Yumeng Tang. Physics of Fluids, 36 (3), 2024. doi: 10.1063/5.0194264
  2. Experimental Study on Coupled Motion of Floating Crane Barge and Lifted Module in Irregular Waves

    Nurman Firdaus, Eko Budi Djatmiko, Rudi Walujo Prastianto, Muryadin. IOP Conference Series: Earth and Environmental Science, 972 (1), 2022. doi: 10.1088/1755-1315/972/1/012070

Last update: 2024-12-23 13:17:54

No citation recorded.