Modeling the motion of large vessels due to tsunami-induced currents
Modeling the motion of large vessels due to tsunami-induced currents
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DOI：
10.1016/j.oceaneng.2021.109487
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发表时间：
2021-09
影响因子：
5
通讯作者：
A. Ayca;P. Lynett
中科院分区：
文献类型：
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作者：
A. Ayca;P. Lynett
本文描述了一个利用已建立的区域尺度海啸模型来预测大型船舶在高能海啸条件下的一般行为的模型。该方法基于一种双向耦合方法，以考虑船只和水流之间的相互作用，这在受限水域变得越来越重要。对浅水流体动力求解器进行了修改，将容器作为水平压力分布，并相应地调整了容器位置的摩擦系数，以考虑表面摩擦的影响。然后，将这些改进的充分性与OpenFOAM®设计的基准案例进行了测试，并通过比较证明了改进的浅水求解器能够合理地实现通过漂浮物的高能流。基于三自由度（浪涌、摇摆和偏航）船舶运动的线性方程，建立了船舶输运模型和水动力求解器。最后，该模型配备了基于动量和冲量守恒概念的碰撞求解器。介绍了该工具的两次大规模应用结果。这些分析表明，港口内和周围的流量确实受到船舶存在的强烈影响。同时，观察到该模型可以近似船舶的行为，但同时由于过程的混沌性，模型结果对初始输入参数的选择非常敏感。
This paper describes a model developed to predict the general behavior of large vessels under energetic tsunami conditions using established regional-scale tsunami models. The methodology is based on a two-way coupled approach to account for the interaction between vessels and flow, which becomes increasingly important in restricted waters. A shallow water hydrodynamic solver is modified to include vessels as horizontal pressure distributions, and friction coefficients are adjusted accordingly at the locations of vessels to account for the effects of skin friction. Adequacy of these modifications are then tested against a benchmark case designed in OpenFOAM®, and comparisons demonstrate the modified shallow water solver's ability to provide a reasonable realization for energetic flow passing a floating object. A vessel transport model coupled with the hydrodynamic solver is based on the linear equations of ship motion with three degrees of freedom (surge, sway and the yaw). Finally, the model is equipped with a collision solver founded on the concept of the conservation of momentum and impulse. Results from two large scale applications of the developed tool are presented. These analyses revealed that the flow in and around the ports is indeed strongly affected by the presence of vessels. Also, it is observed that the model can approximate the ship's behavior, but at the same time the model results are very sensitive to the initial choice of the input parameters due to the chaotic nature of the process.