Trim influence on Kriso Container Ship (KCS) : an experimental and numerical study
There has been a lot of interest in trim optimisation to reduce fuel consumption and emissions of ships. Many existing ships are designed for a single operational condition with the aim of producing low resistance at their design speed and draft with an even keel. Given that a ship will often sail o...
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ftustrathclyde:oai:strathprints.strath.ac.uk:62561 2024-05-12T07:57:31+00:00 Trim influence on Kriso Container Ship (KCS) : an experimental and numerical study Shivachev, Emil Khorasanchi, Mahdi Day, Alexander H. 2017-06-25 text https://strathprints.strath.ac.uk/62561/ https://strathprints.strath.ac.uk/62561/1/Shivachev_etal_OMAE_2017_Trim_influence_on_kriso_container_ship_KCS.pdf https://doi.org/10.1115/OMAE2017-61860 en eng ASME https://strathprints.strath.ac.uk/62561/1/Shivachev_etal_OMAE_2017_Trim_influence_on_kriso_container_ship_KCS.pdf Shivachev, Emil <https://strathprints.strath.ac.uk/view/author/1020597.html> and Khorasanchi, Mahdi <https://strathprints.strath.ac.uk/view/author/455913.html> and Day, Alexander H. <https://strathprints.strath.ac.uk/view/author/22042.html>; (2017 <https://strathprints.strath.ac.uk/view/year/2017.html>) Trim influence on Kriso Container Ship (KCS) : an experimental and numerical study. In: ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. ASME, NOR. ISBN 9780791857731 <https://strathprints.strath.ac.uk/view/isbn/9780791857731.html> Naval architecture. Shipbuilding. Marine engineering Book Section NonPeerReviewed 2017 ftustrathclyde https://doi.org/10.1115/OMAE2017-61860 2024-04-17T14:42:54Z There has been a lot of interest in trim optimisation to reduce fuel consumption and emissions of ships. Many existing ships are designed for a single operational condition with the aim of producing low resistance at their design speed and draft with an even keel. Given that a ship will often sail outside this condition over its operational life and moreover some vessels such as LNG carriers return in ballast condition in one leg, the effect of trim on ships resistance will be significant. Ship trim optimization analysis has traditionally been done through towing tank testing. Computational techniques have become increasingly popular for design and optimization applications in all engineering disciplines. Computational Fluid Dynamics (CFD), is the fastest developing area in marine fluid dynamics as an alternative to model tests. High fidelity CFD methods are capable of modelling breaking waves which is especially crucial for trim optimisation studies where the bulbous bow partially emerges or the transom stern partially immerses. This paper presents a trim optimization study on the Kriso Container Ship (KCS) using computational fluid dynamics (CFD) in conjunction with towing tank tests. A series of resistance tests for various trim angles and speeds were conducted at 1:75 scale at design draft. CFD computations were carried out for the same conditions with the hull both fixed and free to sink and trim. Dynamic sinkage and trim add to the computational cost and thus slow the optimisation process. The results obtained from CFD simulations were in good agreement with the experiments. After validating the applicability of the computational model, the same mesh, boundary conditions and solution techniques were used to obtain resistance values for different trim conditions at different Froude numbers. Both the fixed and free trim/sinkage models could predict the trend of resistance with variation of trim angles; however the fixed model failed to measure the absolute values as accurately as the free model. It was ... Book Part Arctic University of Strathclyde Glasgow: Strathprints Volume 7A: Ocean Engineering |
institution |
Open Polar |
collection |
University of Strathclyde Glasgow: Strathprints |
op_collection_id |
ftustrathclyde |
language |
English |
topic |
Naval architecture. Shipbuilding. Marine engineering |
spellingShingle |
Naval architecture. Shipbuilding. Marine engineering Shivachev, Emil Khorasanchi, Mahdi Day, Alexander H. Trim influence on Kriso Container Ship (KCS) : an experimental and numerical study |
topic_facet |
Naval architecture. Shipbuilding. Marine engineering |
description |
There has been a lot of interest in trim optimisation to reduce fuel consumption and emissions of ships. Many existing ships are designed for a single operational condition with the aim of producing low resistance at their design speed and draft with an even keel. Given that a ship will often sail outside this condition over its operational life and moreover some vessels such as LNG carriers return in ballast condition in one leg, the effect of trim on ships resistance will be significant. Ship trim optimization analysis has traditionally been done through towing tank testing. Computational techniques have become increasingly popular for design and optimization applications in all engineering disciplines. Computational Fluid Dynamics (CFD), is the fastest developing area in marine fluid dynamics as an alternative to model tests. High fidelity CFD methods are capable of modelling breaking waves which is especially crucial for trim optimisation studies where the bulbous bow partially emerges or the transom stern partially immerses. This paper presents a trim optimization study on the Kriso Container Ship (KCS) using computational fluid dynamics (CFD) in conjunction with towing tank tests. A series of resistance tests for various trim angles and speeds were conducted at 1:75 scale at design draft. CFD computations were carried out for the same conditions with the hull both fixed and free to sink and trim. Dynamic sinkage and trim add to the computational cost and thus slow the optimisation process. The results obtained from CFD simulations were in good agreement with the experiments. After validating the applicability of the computational model, the same mesh, boundary conditions and solution techniques were used to obtain resistance values for different trim conditions at different Froude numbers. Both the fixed and free trim/sinkage models could predict the trend of resistance with variation of trim angles; however the fixed model failed to measure the absolute values as accurately as the free model. It was ... |
format |
Book Part |
author |
Shivachev, Emil Khorasanchi, Mahdi Day, Alexander H. |
author_facet |
Shivachev, Emil Khorasanchi, Mahdi Day, Alexander H. |
author_sort |
Shivachev, Emil |
title |
Trim influence on Kriso Container Ship (KCS) : an experimental and numerical study |
title_short |
Trim influence on Kriso Container Ship (KCS) : an experimental and numerical study |
title_full |
Trim influence on Kriso Container Ship (KCS) : an experimental and numerical study |
title_fullStr |
Trim influence on Kriso Container Ship (KCS) : an experimental and numerical study |
title_full_unstemmed |
Trim influence on Kriso Container Ship (KCS) : an experimental and numerical study |
title_sort |
trim influence on kriso container ship (kcs) : an experimental and numerical study |
publisher |
ASME |
publishDate |
2017 |
url |
https://strathprints.strath.ac.uk/62561/ https://strathprints.strath.ac.uk/62561/1/Shivachev_etal_OMAE_2017_Trim_influence_on_kriso_container_ship_KCS.pdf https://doi.org/10.1115/OMAE2017-61860 |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
https://strathprints.strath.ac.uk/62561/1/Shivachev_etal_OMAE_2017_Trim_influence_on_kriso_container_ship_KCS.pdf Shivachev, Emil <https://strathprints.strath.ac.uk/view/author/1020597.html> and Khorasanchi, Mahdi <https://strathprints.strath.ac.uk/view/author/455913.html> and Day, Alexander H. <https://strathprints.strath.ac.uk/view/author/22042.html>; (2017 <https://strathprints.strath.ac.uk/view/year/2017.html>) Trim influence on Kriso Container Ship (KCS) : an experimental and numerical study. In: ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. ASME, NOR. ISBN 9780791857731 <https://strathprints.strath.ac.uk/view/isbn/9780791857731.html> |
op_doi |
https://doi.org/10.1115/OMAE2017-61860 |
container_title |
Volume 7A: Ocean Engineering |
_version_ |
1798837871750152192 |