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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    Title :

    An Investigation of Fatigue and Long-Term Stress Prediction for Container Ship Based on Full Scale Hull Monitoring System


    Additional title:

    Lecture Notes in Civil Engineering


    Contributors:

    Conference:

    Practical Design of Ships and Other Floating Structures ; 2019 ; Yokohama, Japan September 22, 2019 - September 26, 2019



    Publication date :

    2020-10-04


    Size :

    13 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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