Publication Date:
2012-04-17
Description:
This paper details the CFD validation studies carried out as a prerequisite for multi-fidelity CFD-based design optimization of high-speed passenger-only ferries aimed at reducing far-field wake energy that causes beach erosion. A potential flow program (WARP) and a URANS program (CFDSHIP) were validated using full-scale measurements of resistance, sinkage, trim, and far-field wake train obtained over a wide range of speeds for two high-speed semi-planing foil-assisted catamarans: Spirit (LOA-22 m) and 1060 (LOA-17 m). This study posed a unique combination of challenges for CFD modeling: the foil appended geometry required complicated surface overset grids, the effect of the waterjet and wind resistance had to be modeled, and a method had to be devised to extrapolate the calculated near-field elevation to get the far-field wake train using Havelock sources. A more concentrated effort was applied to the URANS verification and validation which forms the focus of this paper. The results show that URANS is able to accurately predict the resistance and motions for both vessels when coupled with models that account for the propulsors and air resistance. The overall accuracy of URANS for the performance analysis of the foil-assisted, semi-planing catamarans was adequate to warrant its use as a tool for subsequent design and optimization of a new vessel with significantly reduced wakes. Content Type Journal Article Category Original Article Pages 157-167 DOI 10.1007/s00773-011-0120-7 Authors Manivannan Kandasamy, University of Iowa, Iowa City, IA, USA Seng Keat Ooi, University of Iowa, Iowa City, IA, USA Pablo Carrica, University of Iowa, Iowa City, IA, USA Frederick Stern, University of Iowa, Iowa City, IA, USA Emilio F. Campana, INSEAN, Rome, Italy Daniele Peri, INSEAN, Rome, Italy Philip Osborne, Golder Associates Inc., 18300 NE Union Hill Road, Suite 200, Redmond, WA 98052, USA Jessica Cote, Golder Associates Inc., 18300 NE Union Hill Road, Suite 200, Redmond, WA 98052, USA Neil Macdonald, Coldwater Consulting, Gloucester, ON, Canada Nic de Waal, Technicraft Ltd., Birkenhead, Auckland, New Zealand Journal Journal of Marine Science and Technology Online ISSN 1437-8213 Print ISSN 0948-4280 Journal Volume Volume 16 Journal Issue Volume 16, Number 2
Print ISSN:
0948-4280
Electronic ISSN:
1437-8213
Topics:
Geosciences
,
Technology
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