• Title/Summary/Keyword: capsizing accident

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A Study on the Improvement of VDR Performance appling the Navigation Dangerousness Evaluation Technology (항해위험도 평가기술을 이용한 VDR 성능 개선에 관한 연구)

  • Kong, Gil-Young;Kim, Young-Du;Jung, Chang-Hyun
    • Journal of Navigation and Port Research
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    • v.34 no.5
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    • pp.319-324
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    • 2010
  • For the purpose of technological analysis in the marine accidents and their prevention, IMO have made it obligatory to load VDR which is similar to the black box in aircraft. However, in case of body sinkage, capsizing, stranding and plunging which are almost 10% of marine accidents, it is difficult to take out the necessary data from the VDR in order to analyze the cause of them. Therefore, this paper apply the navigation dangerousness evaluation technology to the VDR to improve its performance. And we suggest that the vertical acceleration which is one of the factors for evaluating seakeeping performance of a ship is to be added in the existing VDR record data recommended by IMO.

A Study on the Initial Stability Calculation of Small Vessels Using Deep Learning Based on the Form Parameter Method (Form Parameter 기법을 활용한 딥러닝 기반의 소형선박 초기복원성 계산에 관한 연구)

  • Dongkeun Lee;Sang-jin Oh;Chaeog Lim;Jin-uk Kim;Sung-chul Shin
    • Journal of the Korean Society of Industry Convergence
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    • v.27 no.1
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    • pp.161-172
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    • 2024
  • Approximately 89% of all capsizing accidents involve small vessels, and despite their relatively high accident rates, small vessels are not subject to ship stability regulations. Small vessels, where the provision of essential basic design documents for stability calculations is omitted, face challenges in directly calculating their stability. In this study, considering that the majority of domestic coastal small vessels are of the Chine-type design, the goal is to establish the major hull form characteristic data of vessels, which can be identified from design documents such as the general arrangement drawing, as input data. Through the application of a deep learning approach, specifically a multilayer neural network structure, we aim to infer hydrostatic curves, operational draft ranges, and more. The ultimate goal is to confirm the possibility of directly calculating the initial stability of small vessels.

Analysis of Marine Accidents appling the Seakeeping Performance Technology (선박의 내항성능평가기술에 의한 사고원인 분석)

  • Kong, Gil-Young;Kim, Soon-Kap;Kim, Young-Du;Jung, Chang-Hyun
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2010.04a
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    • pp.413-414
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    • 2010
  • For the purpose of technological analysis in the marine accidents and their prevention, IMO have made it obligatory to load VDR which is similar to the black box in aircraft. However, in case of body sinkage, capsizing, stranding and plunging which are almost 10% of marine accidents, it is difficult to take out the necessary data from the VDR in order to analyze the cause of them. Therefore, this paper apply the navigation dangerousness evaluation technology to the VDR to improve its performance. And we suggest that the vertical acceleration which is one of the factors for evaluating seakeeping performance of a ship is to be added in the existing VDR record data recommended by IMQ.

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A Study on Angle of Heel in Turning using Ship Maneuverability lndices (선박 조종성 지수를 이용한 선회 중 횡경사에 관한 기초연구)

  • Kim, Hong-Beom;Yim, Jeong-Bin
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2019.11a
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    • pp.269-269
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    • 2019
  • The ships are turning for the purpose of collision avoidence and change of course. It is possible that ships have capsizing accident when improper loading of cargo and excessive use rudder angle in turning. It is difficult for navigation officers to recognize the danger of heeling during a turn, because the dynamic state of the ship changes in real time. Thus, in this study, ship's heeling angle was predicted during turning using the maneuverability indices estimated from the ship's autopilot. The maneuverability indices estimated through the Kalman filter of Autopilot is real-time predictable. The turning radius was obtained from the estimated Index of turining ability and calculations of the heeling angle were possible in turning. It is intended to be used as a basic data on the prevention of danger heeling angle during turning.

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A Study of Real Ship Experiments to Estimate the Heeling Angle of Passenger Type Ship when Turning (여객선형의 선회 중 횡경사 추정에 관한 실선 실험 연구)

  • Kim, Hongbeom;Lee, Yunhyung;Park, Youngsun;Kong, Gilyoung
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.24 no.5
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    • pp.497-503
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    • 2018
  • Passenger ships and training ships have a common feature in that they serve many passengers. Thus, safe navigation is very important. During normal sailing, a ship may turn using various types of steering, including maneuvers to avoid collisions with dangerous target. When a ship turns, a heeling angle occurs. If trouble arises during sailing, a dangerous heeling angle may result or a capsizing accident. In this study, the heeling angle during turning was measured through experimentation with two training ships similar to passenger ships. These findings were compared with theoretical formulas for heeling angle when turning. We confirmed that the limit of the maximum heeling angle estimation using heeling angle formula when turning presented in IMO stability criteria. In addition, it was confirmed that the maximum estimated heeling angle can be reached by applying the result calculated in the theoretical formula 1.4 times when turning right and 1.1 times when turning left to reflect sailing speed when of rudder hard over. It is expected that this study will provide basis data for establishing safe operation standards for the prevention of dangerous heeling angles when turning.

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
    • Journal of Navigation and Port Research
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    • v.43 no.4
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    • pp.231-236
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    • 2019
  • 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.