用于评估JONSWAP谱系数的遗传算法模型和数据文件：MATLAB代码。
Genetic Algorithm model and data files to assess JONSWAP spectra coefficients: MATLAB code.
作者信息
Rueda-Bayona Juan Gabriel, Guzmán Andrés
机构信息
Universidad Militar Nueva Granada. Engineering Faculty. Civil Engineering. Water and Energy (AyE) Research Group. Bogotá: Carrera 11 No.101- 80.
Universidad del Norte. Research Group for Structures and Geotechnics (GIEG); Institute for Sustainable Development (IDS). Department of Civil and Environmental Engineering. Km 5 via Puerto Colombia, Bloque K, 8-33K, Barranquilla, Colombia. Postal code: 081007.
出版信息
Data Brief. 2020 Aug 19;32:106196. doi: 10.1016/j.dib.2020.106196. eCollection 2020 Oct.
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. [1].
本数据文章展示了一个用MATLAB代码编写的遗传算法模型的结构，用于在无法获取原始测量光谱时找到一维JONSWAP光谱参数。JONSWAP光谱在海岸、近海和海洋工程中广泛用于确定结构设计和数值建模的波浪参数。然而，由于参数化方程的局限性以及α和γ系数之间的高度非线性关系，找到合适的光谱参数可能很困难。该遗传算法模型可以考虑海况演变和水深变化，找到特定位置的α和γ参数。本文数据文章中遗传算法模型的应用见鲁埃达 - 巴约纳等人[1]。
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