The article presents the mathematical function to calculate the added wave resistance transfer function for bulk carriers. Based on this function, the statistical mean added wave resistance generated by an irregular head wave with arbitrary statistical parameters can be forecasted. The input parameters are: waterplane area, waterplane coefficient, ship speed, and frequency of the regular wave. The model has been developed based on the theory of artificial neural networks. The presented function can be used in design analyses, and for planning shipping routes in situations when basic geometrical parameters of the hull are only available and not the full technical documentation. The article presents sample cases of use of this function to calculate the added wave resistance transfer function and the statistical mean added wave resistance. Another presented application refers to waterplane coefficient optimisation taking into account the added wave resistance at the stage of preliminary bulk carrier design.


    Access

    Download


    Export, share and cite



    Title :

    Approximating the Added Resistance Coefficient for a Bulk Carrier Sailing in Head Sea Conditions Based on its Geometrical Parameters and Speed


    Contributors:


    Publication date :

    2016




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown





    SYSTEM FOR SPEED-POWER ANALYSIS OF SAILING VESSEL IN STANDARD SAILING CONDITIONS

    SHIN MYUNG SOO / KI MIN SUK / PARK BEOM JIN et al. | European Patent Office | 2018

    Free access

    Bunker consumption of containerships considering sailing speed and wind conditions

    Medina, Josep R. / Molines, Jorge / González-Escrivá, José A. et al. | Elsevier | 2020


    LNG LNG carrier and sailing method thereof

    European Patent Office | 2024

    Free access

    Predicting the Speed of Sailing Yachts

    Van Oossanen, P. / SNAME | British Library Conference Proceedings | 1993