Surge Resistance Identification of Inland Vessels by Computational Fluid Dynamics

被引:0
作者
Peeters, Gerben [1 ]
Eggers, Arne [1 ]
Boonen, Rene [1 ]
Slaets, Peter [1 ]
Vanierschot, Maarten [1 ]
机构
[1] Katholieke Univ Leuven, Mech Engn Technol TC, Leuven, Belgium
来源
2018 OCEANS - MTS/IEEE KOBE TECHNO-OCEANS (OTO) | 2018年
关键词
inland; vessels; surge; resistance; CFD; PREDICTION; MODELS;
D O I
暂无
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
Inland vessels play a vital role in inland freight transportation, nevertheless, they currently suffer from the competition by road and rail transport. Therefore, augmenting their motion control -with the future possibility of unmanned barges in mind -could increase their competitiveness and induce a paradigm shift in the inland freight transport sector. However, there has been relatively little analysis of the manoeuvring characteristics of small inland vessels or selfpropelled barges. Consequently, this study uses Computational Fluid Dynamics (CFD) to identify a single-variable second-order surge resistance model for a typical European Class (CEMT) type I vessel. This identification method applied the OpenFOAM software to solve the Reynolds Averaged Navier Stokes (RANS) equations by deploying a Volume of Fluid (VOF) approach and a k-omega turbulence model. This CFD methodology was first benchmarked on a KVLCC2 hull of which experimental data are publicly available to validate the CFD results. Afterwards, this validated numerical approach identified the surge model for the inland CEMT I vessel.
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页数:8
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