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Numerical simulations of viscous flows around JBC ship using different turbulence models
Citation Link: https://doi.org/10.15480/882.3364
Publikationstyp
Conference Paper
Date Issued
2019-09
Sprache
English
Author(s)
Herausgeber*innen
TORE-DOI
TORE-URI
Article Number
73
Citation
11th International Workshop on Ship and Marine Hydrodynamics (IWSH2019), Paper 73
Contribution to Conference
High Reynold number (Re) viscous flow is one of the most typical characteristics of an advancing ship. Therefore, the wake flow after the ship hull is very complex and it will strongly affect the propulsion performance. RANS approach and hybrid LES/RANS methods are very popular in the contemporary research of ship flows, with the consideration of less computational cost compared with LES. In the present work, several numerical models, i.e. standard Shear Stress Transport (SST) model for RANS, DES, Delayed DES (DDES) and Improved Delayed DES (IDDES) model are used to predict the viscous flows around a full block ship. Numerical computations are carried out by the in-house CFD solver naoe-FOAM-SJTU developed on OpenFOAM. The ship model Japan Bulk Carrier (JBC) is used in the present computations and the numerical setup is following the benchmark case in Tokyo 2015 CFD Workshop. Extensive experimental data including detailed wake flows through PIV measurements is available for the validation of the CFD results. Predicted results of ship resistance, wake flow in different cross sections are presented and compared with the experimental data. The results based on different DES approaches are discussed and compared with the RANS results. It is found that the IDDES method can improve the performance in predicting turbulence features. Good agreement with experimental results shows that the RANS approach can give good prediction of the resistance, while IDDES approach is more suitable in predicting the complex viscous flows around full block ship hull.
Subjects
IDDES
JBC ship
Ship wake flow
Turbulence models
DDC Class
600: Technik
620: Ingenieurwissenschaften
Funding Organisations
National Natural Science Foundation of China
Chang Jiang Scholars Program
Shanghai Excellent Academic Leaders Program
Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning
Ministry of Industry and Information Technology of China
More Funding Information
This work is supported by the National Natural Science Foundation of China (51809169, 51879159,
51490675, 11432009, 51579145), Chang Jiang Scholars Program (T2014099), Shanghai Excellent Academic Leaders Program (17XD1402300), Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning (2013022), Innovative Special Project of Numerical Tank of Ministry of Industry and Information Technology of China (2016-23/09), to which the authors are most grateful.
51490675, 11432009, 51579145), Chang Jiang Scholars Program (T2014099), Shanghai Excellent Academic Leaders Program (17XD1402300), Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning (2013022), Innovative Special Project of Numerical Tank of Ministry of Industry and Information Technology of China (2016-23/09), to which the authors are most grateful.
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