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A blind comparative study on isothermal sloshing in a circular tank (CCP-WSI Blind Test Series 5)

Abstract:

Numerical modelling is important in many fluid dynamics applications, yet robust benchmarking is required to quantify uncertainty. This study presents results from a blind comparative benchmark of isothermal sloshing in a circular tank. Sloshing is relevant to many engineering applications, including offshore shipping, where vessel motions can excite internal fluid motion, generating impact loads and affecting stability. A series of horizontal and vertical excitation cases of increasing complexity are considered. Participant solutions for free surface displacements are compared against physical model data that was withheld until after submission. Across all cases, the numerical models generally capture the dominant frequency. Typical errors are 10−15%, with some participants achieving 2%. For vertical excitation, larger discrepancies occur at the sidewalls, attributed to over-predicted run-up and difficulties in modelling breaking processes. Most submissions employ high-fidelity approaches with moderate spread in the results. In addition, an AI–accelerated approach was submitted, showing promising performance for less severe cases but requiring further development for extreme conditions. The results highlight that current numerical models capture the primary sloshing dynamics, but accurate representation of damping remains a challenge. These test cases provide a long-term benchmark for assessing numerical sloshing models, and are freely available through the CCP-WSI catalogue.

Publication status:
Accepted
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0002-6858-3316
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author


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Funder identifier:
https://ror.org/0439y7842
Grant:
EP/T026782/1
EP/X035751/1


Publisher:
Elsevier
Journal:
Ocean Engineering More from this journal
Acceptance date:
2026-05-27
EISSN:
1873-5258
ISSN:
0029-8018


Language:
English
Keywords:
Pubs id:
2427899
Local pid:
pubs:2427899
Deposit date:
2026-06-01
ARK identifier:

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