The diffraction of the waves from the two ends of floating breakwaters (FBWs) that have limited length, are practically a three-dimensional (3D). In order to perform a two-dimensional vertical (2DV) analysis to solve the wave diffraction problem, some "correcting factors" are required to modify the 2DV results and make them comparable and verifiable against 3D solutions. The main objective of the current study is to propose a method to obtain these correcting factors and demonstrate its usefulness through some example cases. An Artificial Neural Network (ANN) is trained by three main non-dimensional independent variables to predict the mentioned factors. In order to set up the ANN, a database including both 2DV and 3D results is required. The 2DV results are obtained by employing a semi-analytical method, namely the Scaled Boundary Finite Element Method (SBFEM). A basic change in the location of the scaling center is implemented. The 3D results are obtained via ANSYS AQWA software. Eighty-one cases are simulated on a floating object with rectangular cross-sections. The correlation factor 0.9607 R for a group of new samples shows that the predicted results are closely matched to the target values. The correcting factor applies the 3D effects of diffracted waves around the structures on 2DV results and produces a more accurate prediction.
This study aims to develop an efficient and accurate analytical-numerical model to analyze full interaction between seawater waves and cylindrical floating breakwaters in an infinite fluid domain of finite arbitrary water depth. Based on potential flow assumption, a semi-analytical Scaled Boundary Finite Element Method (SBFEM) in a two-dimensional vertical plane has been used to solve governing Laplace equations. The final equation in the scaled boundary coordinate system has been homogenized by locating the scaling center within each sub-domain. Hence, a diversity of particular solutions are omitted, leading to a unified solution process for radiation/different modes and wave diffraction problems. The accuracy, generality and robustness of the proposed SBFEM model have been evaluated by comparing the results of the proposed model with the reported results from the literature. By implementing the current SBFEM model, simulation results for radiation and diffraction problems are highly accurate compared to the result of other solutions.
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