Study of the Linear Equation Heeling Angle Prediction by using Simulation Data

D. Youn, Chung-Hwan Park, N. Im
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Abstract

As ships become bigger, faster, and diverse, the use of marine transportation increased the transportation. However, the number of ship accidents also increased. Ship accidents cause loss of life and property as well as environmental disasters. The occurrence of ship accidents causes enormous economic and environmental impacts. Especially, in case of passenger ships, methods for preventing ship accidents are being discussed to prevent losing numerous human lives. The purpose of this study is to provide basic data for evacuation before reaching the dangerous time by predicting the time to reach the risk of capsize based on the heeling angle of the passenger ship. Based on the sinking accident between 2012 and 2016, we set up specific scenarios and simulated the real-life data using commercial software MOSES V20. The simulation result is the heeling angle over time. We compared it with the simulation results using the linear equation. As a result of the comparison, a huge error was observed in the short time interval. Predicting the time of the equation reaching the hazardous angle was estimated in a similar fashion. It is expected that it will be possible to provide basic data for evacuation of human and ship by using nonlinear equations and improving the forecast’s accuracy.
基于仿真数据的线性方程倾侧角预测研究
随着船舶变得更大、更快和多样化,海上运输的使用增加了运输。然而,船舶事故的数量也有所增加。船舶事故不仅造成生命财产损失,还造成环境灾害。船舶事故的发生造成巨大的经济和环境影响。特别是在客船事故中,为了防止大量人员伤亡,正在讨论防止船舶事故的对策。本研究的目的是根据客船的倾侧角度,预测客船达到倾覆风险的时间,为到达危险时间前的疏散提供基础数据。以2012 - 2016年的沉船事故为背景,搭建具体场景,利用商业软件MOSES V20模拟真实数据。仿真结果为随时间变化的倾侧角。用线性方程与仿真结果进行了比较。比较的结果是,在较短的时间间隔内观察到巨大的误差。预测方程到达危险角度的时间用类似的方式估计。通过非线性方程的应用,可以为人员和船舶的撤离提供基础数据,提高预报的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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