A summary of the Lucy Ashton resistance prediction workshop

• Numerical results underpredict the experimental resistance. • Scatter in the total resistance decreases as the Froude number is increased. • Spread of the total resistance is lower at full-scale than at model-scale. A blind full-scale CFD resistance prediction workshop was held in 2024, with the Lucy Ashton paddle steamer as its test case. Results from forty participants were received for the three different parts in which the workshop was organised, which consisted of a grid refinement study with common grids, full-scale simulations for varying Froude number, and model-scale simulations at a constant Froude number for varying model sizes. This paper presents a summary of the results gathered for the workshop along with its main findings, and the comparison with the results available from the experimental campaign carried out for the Lucy Ashton in the 1950s. The computational results led to lower ship resistance than the experimental data for all conditions, due to the simulations considering the ship to be hydrodynamically smooth and to not heave or pitch. The scatter of the resistance at full-scale showed a decreasing trend as the Froude number was increased with a median absolute deviation of at most 2.3 %. The spread in the numerical results obtained for the full-scale conditions was equivalent to that observed for the model-scale cases, building further confidence in full-scale CFD.

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Publication Details

Journal
Ocean Engineering
Published
2025-10-23
DOI
https://doi.org/10.1016/j.oceaneng.2025.122951
Primary Topic
Probabilistic and Robust Engineering Design
Type
article
Field-Weighted Citation Impact
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article

A summary of the Lucy Ashton resistance prediction workshop

Mike Y. Kubota, Jianfeng Lin, Diego Villa, Dong Cheol Seo et al.
Ocean Engineering
Probabilistic and Robust Engineering Design
article

A summary of the Lucy Ashton resistance prediction workshop

Mike Y. Kubota, Jianfeng Lin, Diego Villa, Dong Cheol Seo, Themistoklis Melissaris, Yasin Kaan İlter, K F Sagmo, Çağrı Aydın, Jan Kaufmann, Dmitriy Ponkratov, Niklas Kühl, Gabriele Bigini, Wim Van Hoydonck, Carlo Giorgio Grlj, Rui Lopes, Arash Eslamdoost, Miles P. Wheeler, Rickard Bensow, Vincenzo Sorrentino, Matija Vasilev, Lars Lübke, Rasul Niazmand Bilandi, João Muralha, Guillermo Chillcce, Gennaro Rosano, Florian Vesting, Simone Bozzo, Zhaohui Li, M A Boyd, S. E. Cunningham, Dimitris Ntouras, Lukas Dott, Dimitrios S. Lampropoulos, Muhammed Sahid, Pierre Crepier, Ramkumar Joga, Alvaro Del Toro, Fabian Schumacher, Vincent Tissot, Anja Kömpe, Paolo Geremia, Çagan Birant Pekküçük
article en

Abstract

• Numerical results underpredict the experimental resistance. • Scatter in the total resistance decreases as the Froude number is increased. • Spread of the total resistance is lower at full-scale than at model-scale. A blind full-scale CFD resistance prediction workshop was held in 2024, with the Lucy Ashton paddle steamer as its test case. Results from forty participants were received for the three different parts in which the workshop was organised, which consisted of a grid refinement study with common grids, full-scale simulations for varying Froude number, and model-scale simulations at a constant Froude number for varying model sizes. This paper presents a summary of the results gathered for the workshop along with its main findings, and the comparison with the results available from the experimental campaign carried out for the Lucy Ashton in the 1950s. The computational results led to lower ship resistance than the experimental data for all conditions, due to the simulations considering the ship to be hydrodynamically smooth and to not heave or pitch. The scatter of the resistance at full-scale showed a decreasing trend as the Froude number was increased with a median absolute deviation of at most 2.3 %. The spread in the numerical results obtained for the full-scale conditions was equivalent to that observed for the model-scale cases, building further confidence in full-scale CFD.

Ocean EngineeringVol. 343
Volvo (Sweden) (SE), Istanbul Şehir University (TR), University of Trieste (IT), Schott (Germany) (DE), Chinese Academy of Sciences (CN), International School of Trieste (IT), Damen Shipyards Group (Netherlands) (NL), Entwicklungszentrum für Schiffstechnik und Transportsysteme (DE), Satways (Greece) (GR), Community Sector Council Newfoundland and Labrador (CA), Siemens (United Kingdom) (GB), Meyer Werft (Germany) (DE), Institute of Mechanics (CN), Brookes Bell (United Kingdom) (GB), University of Duisburg-Essen (DE), Altice Portugal (Portugal) (PT), Chalmers University of Technology (SE), University of Naples Federico II (IT), University of Genoa (IT), Wageningen University & Research (NL)
Linköpings Universitet, Vetenskapsrådet, Energimyndigheten, National Supercomputer Centre, Linköpings Universitet
Openalex Percentile: Top 70%
Probabilistic and Robust Engineering Design
DOIOpen Access PDFOpenAlex
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