Abstract
To pursue higher transportation efficiency, the dimension of container ship be-comes larger and larger and it is usually concerned with huge economic loss and environmental pollution when structural failure occurs. It is important to quantitatively assess the structural health for operated container ship considering the encountered wave condition and corresponding ship operation.
In this research, a full-scale hull monitoring system is introduced which has been installed on several operated container ships. Based on the monitoring stress for 1–2 years, long-term stress prediction and fatigue assessment according to zerocross method and rainflow method are conducted. According to the analysis with and without low-pass-filter, it is indicated that, the structural elastic vibration has significant influence on hull structure which may increase the maximum stress by 10%–60% correspondingly.
The hindcast-based encountered wave condition which includes the wave spectrum, significant wave height, wave mean period and wave direction are utilized in this research. Relative numerical simulations based on panel method are performed for all the monitored container ships. The wave condition influence is investigated numerically by adopting global wave statistics (GWS) and actual encountered wave condition. It is proved that, the recommended wave tables (GWS) generally predict much higher stress comparing with the actual-encountered wave-based simulation and monitoring results. By considering the actual encountered wave condition, the improvement of numerical prediction accuracy, with respect to the evaluation of long-term stress and fatigue damage, is clarified quantitatively.
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Acknowledgment
This study was conducted as a part of the collaborative research project “Hull structure health monitoring of 14,000TEU large container ships” under the support of the Ministry of Land, Infrastructure, Transportation and Tourism of Japan for i-Shipping operation. The authors would like to thank the project members from Japan Marine United Corporation, ClassNK, Yokohama National University, the University of Tokyo, Japan Weather Association, NYK Line and MTI Co., Ltd. for their discussion and support.
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Ma, C., Oka, M., Ochi, H. (2021). An Investigation of Fatigue and Long-Term Stress Prediction for Container Ship Based on Full Scale Hull Monitoring System. In: Okada, T., Suzuki, K., Kawamura, Y. (eds) Practical Design of Ships and Other Floating Structures. PRADS 2019. Lecture Notes in Civil Engineering, vol 64. Springer, Singapore. https://doi.org/10.1007/978-981-15-4672-3_31
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DOI: https://doi.org/10.1007/978-981-15-4672-3_31
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