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Data article: Genetic algorithm model and data files to assess JONSWAP spectra coefficients: MATLAB code

Manuscript title: Genetic algorithm model and data files to assess JONSWAP spectra coefficients: MATLAB code

Authors: Rueda-Bayona, J.G., Guzmán, A

Data in Brief (ISSN: 2352-3409). Available online: August 19, 2020. 106196 (In press). https://doi.org/10.1016/j.dib.2020.106196  

Abstract: This data article presents the structure of a Genetic Algorithm model written in a MATLAB code for finding the 1D JONSWAP spectra parameters when measured raw spectra is not available. The JONSWAP spectra is widely used in Coastal, Offshore, and Ocean Engineering for determining wave parameters for structure designing and numerical modeling. However, finding proper spectra parameters may be difficult because of the limitations of parameterized equations to do so and the high non-linear relation between the alpha and gamma coefficients. This GA model can find the alpha and gamma parameters for specific locations considering sea-state's evolution and water-depth transitions. The application of the GA model of this data article is shown in Rueda-Bayona et al.

Keywords: Genetic algorithms; JONSWAP; numerical modeling; waves; MATLAB

Research article: Selection of JONSWAP Spectra Parameters During Water-depth and Sea-state Transitions

Manuscript title: Selection of JONSWAP Spectra Parameters During Water-depth and Sea-state Transitions

Authors: Rueda-Bayona, J.G., Guzmán, A, Cabello, J.

Journal of Waterway, Port, Coastal, and Ocean Engineering (ISSN (print): 0733-950X | ISSN (online): 1943-5460). Vol. 146, Issue 6 – July 2020 (online); November 2020 (printed). https://ascelibrary.org/doi/10.1061/%28ASCE%29WW.1943-5460.0000601 

Abstract: The design of marine structures requires the simulation of wave parameters that consider sea-state and water-depth transitions. Proper selection of the model coefficients (e.g., alpha and gamma of the JONSWAP spectra) is then required, because of the wave-hydrodynamic nonlinearities during these ocean processes. Therefore, the model coefficient selection should be tested using a nonlinear analysis to assess the effect of the selected spectra coefficients over the modeled wave parameters. The present study performed a design of experiment (DOE)-analysis of variance (ANOVA) and probability analysis to assess the effect of alpha and gamma parameters over the significant wave height (Hs) and peak period (Tp) during sea-state and water-depth transitions. The DOE-ANOVA demonstrated for the mean and extreme wave states of the study area that alpha and gamma parameters positively affect the Hs behavior in deep and intermediate waters. Furthermore, the standardized effects of alpha and gamma over the Tp during extreme wave states suggest quadruplets of wave–wave interactions. The joint and normal probability distributions of alpha and gamma for extreme and normal waves showed a Gaussian distribution, allowing identification of specific alpha and gamma values for the JONSWAP spectra model. The selected alpha and gamma parameters were then validated through the comparison of the modeled Hs (JONSWAP) against other local studies. Considering its relevance in design strategies for offshore structures, this research contributed to the understanding of the nonlinear effects of alpha and gamma parameters over the Hs and Tp during variations of water depth and wave states, easing the selection of the model coefficients.

Keywords: DOE-ANOVA; JONSWAP spectra; Numerical modeling; Probability; Waves