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Comparison of unsteady Reynolds-averaged Navier-Stokes prediction of self-propelled container ship squat against empirical methods and benchmark data

Kok, Z ORCID: 0000-0002-4068-8343, Duffy, JT ORCID: 0000-0003-3484-1345, Chai, S ORCID: 0000-0001-5186-4456 and Jin, Y 2020 , 'Comparison of unsteady Reynolds-averaged Navier-Stokes prediction of self-propelled container ship squat against empirical methods and benchmark data' , Transactions of the Royal Institution of Naval Architects, Part A: International Journal of Maritime Engineering, vol. 162, no. Part A , pp. 193-206 , doi: https://doi.org/10.3940/rina.ijme.2020.a2.604.

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Abstract

The demand to increase port throughput has driven container ships to travel relatively fast in shallow water whilst avoiding grounding and hence, there is need for more accurate high speed squat predictions. A study has been undertaken to determine the most suitable method to predict container ship squat when travelling at relatively high speeds (Frh ≥ 0.5) in finite water depth (1.1 ≤ h/T ≤ 1.3). The accuracy of two novel self-propelled URANS CFD squat model are compared with that of readily available empirical squat prediction formulae. Comparison of the CFD and empirical predictions with benchmark data demonstrates that for very low water depth (h/T Frh Frh ≥ 0.5) which is achievable in deeper waters (h/T ≥ 1.14), most of the empirical formulae severely underestimated squat (7-49%) whereas the quasi-static CFD model presented has the best correlation. The changes in wave patterns and effective wake fraction with respect to h/T are also presented.

Item Type: Article
Authors/Creators:Kok, Z and Duffy, JT and Chai, S and Jin, Y
Keywords: ship squat, self-propulsion, fully-discretised propeller, confined water, wake
Journal or Publication Title: Transactions of the Royal Institution of Naval Architects, Part A: International Journal of Maritime Engineering
Publisher: Royal Institution of Naval Architects
ISSN: 1479-8751
DOI / ID Number: https://doi.org/10.3940/rina.ijme.2020.a2.604
Copyright Information:

© RINA 2020

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