Trim influence on Kriso Container Ship (KCS)

an experimental and numerical study

Emil Shivachev, Mahdi Khorasanchi, Alexander H. Day

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

4 Citations (Scopus)
28 Downloads (Pure)

Abstract

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 concluded that a fixed CFD model, although computationally faster and cheaper, can find the optimum trim angle but cannot predict the amount of savings with very high accuracy. Results concerning the performance of the vessel at different speeds and trim angles were analysed and optimum trim is suggested.
Original languageEnglish
Title of host publicationASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering
Place of PublicationNew York
Number of pages7
Volume7A
DOIs
Publication statusPublished - 25 Jun 2017
EventASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering - Trondheim, Norway
Duration: 25 Jun 201730 Jun 2017

Conference

ConferenceASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering
Abbreviated titleOMAE 2017
CountryNorway
CityTrondheim
Period25/06/1730/06/17

Fingerprint

Containers
Computational fluid dynamics
Ships
Ship model tanks
Froude number
Fluid dynamics
Liquefied natural gas
Fuel consumption
Drag
Dynamic models
Boundary conditions
Computer simulation
Testing
Costs
Experiments

Keywords

  • ship hydrodynamics
  • trim
  • CFD
  • experimental and numerical investigations
  • computational fluid dynamics
  • Kriso Container Ship (KCS)

Cite this

Shivachev, E., Khorasanchi, M., & Day, A. H. (2017). Trim influence on Kriso Container Ship (KCS): an experimental and numerical study. In ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering (Vol. 7A). [OMAE2017-61860] New York. https://doi.org/10.1115/OMAE2017-61860
Shivachev, Emil ; Khorasanchi, Mahdi ; Day, Alexander H. / Trim influence on Kriso Container Ship (KCS) : an experimental and numerical study. ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. Vol. 7A New York, 2017.
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Shivachev, E, Khorasanchi, M & Day, AH 2017, Trim influence on Kriso Container Ship (KCS): an experimental and numerical study. in ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. vol. 7A, OMAE2017-61860, New York, ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering , Trondheim, Norway, 25/06/17. https://doi.org/10.1115/OMAE2017-61860

Trim influence on Kriso Container Ship (KCS) : an experimental and numerical study. / Shivachev, Emil; Khorasanchi, Mahdi; Day, Alexander H.

ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. Vol. 7A New York, 2017. OMAE2017-61860.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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N2 - 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 concluded that a fixed CFD model, although computationally faster and cheaper, can find the optimum trim angle but cannot predict the amount of savings with very high accuracy. Results concerning the performance of the vessel at different speeds and trim angles were analysed and optimum trim is suggested.

AB - 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 concluded that a fixed CFD model, although computationally faster and cheaper, can find the optimum trim angle but cannot predict the amount of savings with very high accuracy. Results concerning the performance of the vessel at different speeds and trim angles were analysed and optimum trim is suggested.

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Shivachev E, Khorasanchi M, Day AH. Trim influence on Kriso Container Ship (KCS): an experimental and numerical study. In ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. Vol. 7A. New York. 2017. OMAE2017-61860 https://doi.org/10.1115/OMAE2017-61860