Method for Determining the Sea Waves Curvature Using Wave Buoys Conventional Shape
https://doi.org/10.32603/1993-8985-2020-23-4-57-65
Abstract
Introduction. Modern wave buoys due to their design make it possible to determine a directional wave spectrum using five coefficients of the Fourier series. However, up to nine members of the series can be determined from wave surface measurements. To determine the missing four members, information about wave curvature is necessary. It cannot be obtained by direct measurements with wave buoys of a conventional shape - a sphere, a cylinder or a saucer. The lack of information about the curvature of waves when determining the directional spectrum leads to its low resolution and to the presence of negative regions.
Aim. To develop a method for determining the curvature of waves from measurements with conventional shape wave buoys.
Materials and methods. Theoretical substantiations of the proposed method were presented, as well as mathematical modeling of irregular wave processes in a wide range of wave intensities and an experimental study of three wave spectra with a threefold repetition of each of them.
Results. Numerical simulations demonstrated a good agreement between the calculated curvature and the set values. The variance deviation was less than 1%. The experimental study demonstrated a greater deviation in variance - up to 9%, which can be explained by the influence of an instrumental error and by an unaccounted influence of reflected waves.
Conclusion. On the basis of the study, the method for determining the curvature of waves by numerical differentiation of wave slope measurements using information on a wave propagation speed has been developed. The method was supplemented by correcting amplitude values according to the criterion of matching the spectral characteristics of wave processes. Additional studies of the developed method are required to determine the influence of wave factors such as wave steepness, spectrum width, random multidirectional waves, etc. on the calculated curvature and on the directional spectrum.
Keywords
About the Author
K. A. GlebRussian Federation
Konstantin A. Gleb, Head of sector; post graduate student, 44 Moskovskoe Ave., St Petersburg 196158, Russia
References
1. Longuet-Higgins M. S., Cartwright D. E., Smith N. D. Observations of the Directional Spectrum of Sea Waves using the Motions of a Floating Buoy. Proc. Conf. Ocean Wave Spectra, Easton, USA, May 1–4, 1961. New York: Prentice-Hall, 1963, pp. 111–132. doi: 10.1016/0011-7471(65)91457-9
2. Mitsuyasu H., Tasai F., Suhara T., Mizuno S., Ohkusu M., Honda T., Rikiishi K. Observation of the Power Spectrum of Ocean Waves Using a Cloverleaf Buoy. J. of Physical Oceanography, 1979, vol. 10, iss. 2, pp. 286–296. doi: 10.1175/1520-0485(1980)010<0286:ootpso>2.0.co;2
3. Sveshnikov A. A. Determination of the Probabilistic Characteristics of Three-Dimensional Sea Waves. Izv. AN USSR. Otd. Tech. nauk. Mekhanika i mashinostroenie [Izv. Academy of Sciences of the USSR. OTN Mechanics and mechanical engineering]. 1959, no. 3, pp. 32–41. (In Russ.)
4. Earle M. D., Steele K. E., Wangc D. W. C. Use of Advanced Directional Wave Spectra Analysis Methods. Ocean Engineering. 1998, vol. 26, iss. 12, pp. 1421–1434. doi: 10.1016/S0029-8018(99)00010-4
5. Hashimoto N., Kobune K. Estimation of Directional Spectra from the Maximum Entropy Principle. Proc. 5th Int. Offshore Mech. and Arct. Eng. Symp., Tokyo, Japan, 13-18 Apr., British Maritime Technology, London U.K., 1986, vol. 1, pp. 80–85.
6. Krogstad H. E. Maximum Likelhood Estimation of Ocean Wave Spectra from General Arrays of Wave Gauges. Modeling, identification and control. 1988, vol. 9, no. 2, pp. 81–97. doi: 10.4173/mic.1988.2.3
7. Benoit M., Frigaard P., Schäffer A. Analysing Multidirectional Wave Spectra: Alternative Classification of Available Methods. Proc. 27th IAHR Congress, Seminar on Multidirectional Waves and their Interaction with Structures, San Francisco, USA, 10–15 Aug. 1997, Canadian Government Publishing, 1997, pp. 131–158.
8. Plant W. J., Donelan M. A. 2020: Directional Surface Wave Spectra from Point Measurements of Height and Slope. J. Atmos. Oceanic Technol. 2020, vol. 37, no. 1, pp. 67–83. doi: 10.1175/JTECH-D-19-0128.1
9. Gorman R. M. Estimation of Directional Spectra from Wave Buoys for Model Validation. Procedia IUTAM, 2018, vol. 26, pp. 81–91. doi: 10.1016/j.piutam.2018.03.008
10. Kim T., Lin L., Wang H. Comparisons of Directional Wave Analysis Methods. Proc. of the Second Int. Symposium on Ocean Wave Measurement and Analysis New Orleans, USA, 25-28 July, 1993. American Society of Civil Engineers, New York, NY, 1994, pp. 554–568.
11. Gleb K. A., Gryazin D. G. Application of the Stochastic Control Method in the Study of the Algorithm for Calculating Wave Characteristics. Vseross. nauchnaya konf. po problemam upravleniya v tekhnicheskikh sistemakh [Russian scientific conf. on control problems in technical systems]. 30 Oct. – 01 Nov., 2019, St Petersburg Electrotechnical University "LETI", 2019, vol. 1, pp. 268–270. (In Russ.)
12. Pierson W. J., Moskowitz L. A Proposed Spectral Form for Fully Developed Wind Seas based on the Similarity Theory of S. A. Kitaigorodskii. J. of Geophysical Research. 1964, vol. 69, iss. 24, pp. 5181–5190. doi: 10.1029/JZ069i024p05181
13. Davidan I. N., Lopatukhin L. I., Rozhkov V. A. Vetrovoe volnenie v mirovom okeane [Wind Waves in the World's Oceans]. L. Gidrometeoizdat, 1985, 255 p. (In Russ.)
14. Gryazin D. G., Starosel'tsev L. P., Belova O. O., Gleb K. A. Volnomernyi bui "Shtorm" s inertsial'nym mikromekhanicheskim izmeritel'nym modulem. Okeanologiya [Oceanology]. 2017, vol. 57, no. 4. pp. 667–674. doi: 10.7868/s0030157417040165 (In Russ.)
15. Dimitra I. M., Constantine D. M., Michalis K. C. A Simple Method for Obtaining Wave Directional Spreading. J. of Applied Water Engineering and Research. 2017, vol. 5, iss. 2, pp. 129–141. doi: 10.1080/23249676.2016.1172270
Review
For citations:
Gleb K.A. Method for Determining the Sea Waves Curvature Using Wave Buoys Conventional Shape. Journal of the Russian Universities. Radioelectronics. 2020;23(4):57-65. (In Russ.) https://doi.org/10.32603/1993-8985-2020-23-4-57-65