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A revisited verification and validation analysis for URANS simulation of planing hulls in calm water
Estonian Maritime Academy, Tallinn University of Technology, 11712, Tallinn, Estonia.
Department of Industrial Engineering, University of Napoli” Federico II”, 80125, Napoli, Italy; Department of Hydro and Aerodynamics, FORCE Technology, 2800, Kgs. Lyngby, Denmark.
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Vehicle Engineering and Solid Mechanics.ORCID iD: 0000-0003-2644-5713
Department of Infrastructure Engineering, The University of Melbourne, Parkville, 3052, VIC, Australia; Marine and Arctic Technology Group, Department of Mechanical Engineering, Aalto University, Espoo 0073, Finland.
2024 (English)In: Ocean Engineering, ISSN 0029-8018, E-ISSN 1873-5258, Vol. 293, article id 116589Article in journal (Refereed) Published
Abstract [en]

Verification and Validation (V&V) is the foremost analysis which is carried out for evaluation of the accuracy level and dependability of computational fluid dynamic (CFD) simulations. The present study investigates the V&V of CFD models in predicting the dynamic trim and hull resistance of high-speed planing hulls with an aim to provide a deeper understanding of V&V analysis in this specific field of application. Two different planing hulls, namely the C05 stepped hull and the C1 interceptor hull, are analyzed with four different grids and time-steps using two mesh motion techniques, namely overset and morphing approach. The discretization (grid) and time-step uncertainties for each CFD simulation are estimated using the least squares method. The results indicate that the overset mesh approach performs better than the morphing grid method in terms of numerical uncertainty and validation achieved for both hulls. The error of both techniques in the prediction of resistance and trim angle of the boat shows an acceptable range of accuracy. The findings provide valuable insights for simulation-based designing and optimizing high-speed planing hulls, specifically by identifying the optimal mesh technique, cell number, and time-step for accurate prediction of wetted surface shape, ventilation formation, running attitude, and resistance.

Place, publisher, year, edition, pages
Elsevier BV , 2024. Vol. 293, article id 116589
Keywords [en]
CFD, Discretization (grid) uncertainties, Grid verification, Morphing mesh, Overset mesh, Planing hulls, Uncertainty analysis, Validation
National Category
Environmental Sciences
Identifiers
URN: urn:nbn:se:kth:diva-342385DOI: 10.1016/j.oceaneng.2023.116589Scopus ID: 2-s2.0-85181758887OAI: oai:DiVA.org:kth-342385DiVA, id: diva2:1828897
Note

QC 20240122

Available from: 2024-01-17 Created: 2024-01-17 Last updated: 2024-01-22Bibliographically approved

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Dashtimanesh, Abbas

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