Numerical Study on the Green-Water Loads and Structural Responses of Ship Bow Structures Caused by Freak Waves

Abstract

In recent decades, freak waves, characterized by their unusual high amplitude, sharp crest, and concentrated energy, have attracted researchers’ attention due to their potential threat to marine structures. Green-water loads caused by freak waves can be significant and may lead to local damage to the ship structures. Therefore, this paper focuses on the study of green-water loads and examines the structural responses of ship bow structures under the influence of the green-water loads caused by freak waves. Firstly, a three-dimensional numerical wave tank is established in which the superposition model is used to generate freak waves. Validations on the freak-wave generation, ship motion response and the wave loading are carried out to verify the present solvers. The simulation on the interaction between the freak wave and the ship are conducted to obtain the interaction process and green-water loads. Secondly, a finite element (FEM) model of the ship bow is built, on which the green-water loads are applied to calculate the structural responses. Finally, the displacement and stress of the deck and breakwater structures are analyzed. It is found that green water events caused by freak waves can generate enormous impact forces on the bow deck and breakwater, resulting in severe structural responses and even possible damage to the structures. The local strength of structures under freak waves needs to be considered in practical engineering applications.

Special Issue on Advances in Applied Marine Sciences and Engineering

“…Cao and Wen [4] combined the large eddy simulated turbulence model and Lighthill's acoustic analogy theory and extracted the transient flow field data as the excitation conditions for acoustic calculations. Zhang et al [5] examined the structural responses of ship bow structures under the influence of greenwater loads caused by freak waves with an unusually high amplitude and concentrated energy. In the field of marine technology, Carrillo-Aguilar et al [6] suggested algorithms to identify the dry fins of 37 shark species involved in the shark fin trade from 14 countries, which demonstrated a high sensitivity and specificity of image processing.…”