A summary of the Lucy Ashton resistance prediction workshop
Journal article, 2026
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.
Full-scale
Workshop
Resistance
RANS
Author
Rui Miguel Alves Lopes
Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology
Arash Eslamdoost
Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology
Rickard Everyd Bensow
Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology
Dmitriy Ponkratov
Siemens Digital Industries Software
Anja Kompe
Meyer Werft
Paolo Geremia
ENGYS
Cagan Birant Pekkucu
SEFT Engineering
Cagri Aydin
Damen
Diego Villa
University of Genoa
Dimitris Ntouras
SimFWD
Dong Cheol Seo
National Research Council of Italy (CNR)
Gennaro Rosano
University of Naples Federico II
Florian Vesting
Volupe
Gabriele Biginil
Van Oossanen Naval Architects BV
Guillermo Chillcce
University of Duisburg-Essen
Jan Kaufmannn
DST
Jianfeng Lin
Chinese Academy of Sciences
Joao Muralha
blueOASIS
Lukas Dott
Schottel GmbH
Kaan Ilter
Brookes Bell
Dimitrios S. Lampropoulos
Hellenic Open University
FEAC Engineering
Kristian Sagmo
SINTEF
Lars Lubke
SVA Potsdam
Masaya Kubota
Mitsubishi Heavy Ind Co Ltd
Matija Vasilev
Ocean Pro
Miles Wheelery
Siemens Digital Industries Software
Muhammed Sahid
Cochin Shipyard Ltd
Carlo Giorgio Grlj
University of Zagreb
Niklas Kuhl
Hamburg Ship Model Basin (HSVA)
Pierre Crepier
Maritime Research Institute Netherlands (MARIN)
Ramkumar Joga
Indian Register of Shipping
Rasul Niazmand Bilandi
Tallinn University of Technology (TalTech)
FORCE Technology
Marcus Boyd
Cape Horn Engineering
Alvaro Del Toro
Kongsberg Maritime
Shona Cunningham
BMT Group
Simone Bozzo
University of Genoa
Fabian Schumacher
IBMV Maritime Innovationsgesellschaft
Themistoklis Melissaris
Wärtsilä Netherlands BV
Vincent Tissot
Sirehna
Vincenzo Sorrentino
University of Naples Federico II
Wim Van Hoydonck
Flanders Hydraulics
Zhao-Hui Li
Marine Design and Research Institute of China
Ocean Engineering
0029-8018 (ISSN)
Vol. 343 122951Subject Categories (SSIF 2025)
Fluid Mechanics
Vehicle and Aerospace Engineering
DOI
10.1016/j.oceaneng.2025.122951