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Study of the Heeling Angle Prediction by using Simulation Data

시뮬레이션 데이터를 이용한 횡경사 각도 예측 방법 연구

Youn, Dong-Hyup;Park, Chung-Hwan;Yim, Nam-Gyun
윤동협;박충환;임남균

  • Received : 2018.11.12
  • Accepted : 2019.08.19
  • Published : 2019.08.31

Abstract

As ships become bigger, faster, and diverse, transportation has increased the usage of marine vehicles. However, ship accidents are increasing. Ship accidents cause loss of life and property as well as environmental disasters. The occurrence of ship accidents causes enormous economic and environmental impacts. Notably, in the case of passenger ships, methods for preventing ship accidents are being discussed to avoid losing numerous human lives. The purpose of this study is to provide essential data for evacuation before reaching the dangerous time by predicting the time to reach the risk of capsizing based on the heeling angle of the passenger ship. Based on sinking accidents between 2012 and 2016, we set up specific scenarios and simulated the PRR1 data using commercial software MOSES V20. In the case of the linear equation, the simulation results showed a low error rate because the simulation data showed the linear graph. In the case of the quadratic equation, the error rate was low at the beginning but showed a high error rate at the subsequent angle.

Keywords

Dangerous Time;Heeling Angle Prediction;Linear;Quadratic Equation;Ship Accident

Acknowledgement

Grant : 선박 및 인명 대피 지원 기술 개발

Supported by : 해양수산부