Predicting the Drag Coefficient Characteristics of Ocean Bottom Unit (OBU) Float Array Model for Early Warning Tsunami Systems Using Computational Fluid Dynamics (CFD) Method

The early tsunami warning system encompasses several complex components, one of which is the Ocean Bottom Unit (OBU) floater. This paper discusses the performance of various types of floater arrays for tsunami early warning systems using Computational Fluid Dynamics (CFD) simulations. The study focu...

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Main Authors: Yudiawan Fajar Kusuma, Ilham Hariz, Hanni Defianti, Buddin Al Hakim, Arfis Maydino F. Putra
Format: Article
Language:English
Published: Teknik mesin, Fakultas Teknik, Universitas Sebelas Maret 2023-10-01
Series:Mekanika
Online Access:https://jurnal.uns.ac.id/mekanika/article/view/75079
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author Yudiawan Fajar Kusuma
Ilham Hariz
Hanni Defianti
Buddin Al Hakim
Arfis Maydino F. Putra
author_facet Yudiawan Fajar Kusuma
Ilham Hariz
Hanni Defianti
Buddin Al Hakim
Arfis Maydino F. Putra
author_sort Yudiawan Fajar Kusuma
collection DOAJ
description The early tsunami warning system encompasses several complex components, one of which is the Ocean Bottom Unit (OBU) floater. This paper discusses the performance of various types of floater arrays for tsunami early warning systems using Computational Fluid Dynamics (CFD) simulations. The study focuses on coefficients, especially the drag coefficient, and the influence of the number of float arrangements on the flow pattern around the buoy or Ocean Bottom Unit (OBU) array. Among the five numerical simulation models, the six-couple floater has the highest drag and lowest lift coefficients, while the single floater has the lowest drag coefficient. The percentage of difference in drag coefficient between single floater and couple series floater is quite significant, reaching up to 50%. The moment coefficient is also affected by the number of floaters, with a series of five couple floaters having the highest moment coefficient at a Reynolds number (Re) of 2 × 106. The results indicate that the flow pattern becomes more complex as the number of floater arrays increases, which leads to more vortices between the floater, resulting in increased turbulence and drag coefficient.
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language English
publishDate 2023-10-01
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spelling doaj-art-4e62d5f60ab34e6c93074f1fd024bea32025-08-20T02:56:02ZengTeknik mesin, Fakultas Teknik, Universitas Sebelas MaretMekanika1412-79622579-31442023-10-01222768710.20961/mekanika.v22i2.7507939434Predicting the Drag Coefficient Characteristics of Ocean Bottom Unit (OBU) Float Array Model for Early Warning Tsunami Systems Using Computational Fluid Dynamics (CFD) MethodYudiawan Fajar Kusuma0Ilham HarizHanni DefiantiBuddin Al HakimArfis Maydino F. PutraResearch Center for Hydrodynamics Technology - National Research and Innovation AgencyThe early tsunami warning system encompasses several complex components, one of which is the Ocean Bottom Unit (OBU) floater. This paper discusses the performance of various types of floater arrays for tsunami early warning systems using Computational Fluid Dynamics (CFD) simulations. The study focuses on coefficients, especially the drag coefficient, and the influence of the number of float arrangements on the flow pattern around the buoy or Ocean Bottom Unit (OBU) array. Among the five numerical simulation models, the six-couple floater has the highest drag and lowest lift coefficients, while the single floater has the lowest drag coefficient. The percentage of difference in drag coefficient between single floater and couple series floater is quite significant, reaching up to 50%. The moment coefficient is also affected by the number of floaters, with a series of five couple floaters having the highest moment coefficient at a Reynolds number (Re) of 2 × 106. The results indicate that the flow pattern becomes more complex as the number of floater arrays increases, which leads to more vortices between the floater, resulting in increased turbulence and drag coefficient.https://jurnal.uns.ac.id/mekanika/article/view/75079
spellingShingle Yudiawan Fajar Kusuma
Ilham Hariz
Hanni Defianti
Buddin Al Hakim
Arfis Maydino F. Putra
Predicting the Drag Coefficient Characteristics of Ocean Bottom Unit (OBU) Float Array Model for Early Warning Tsunami Systems Using Computational Fluid Dynamics (CFD) Method
Mekanika
title Predicting the Drag Coefficient Characteristics of Ocean Bottom Unit (OBU) Float Array Model for Early Warning Tsunami Systems Using Computational Fluid Dynamics (CFD) Method
title_full Predicting the Drag Coefficient Characteristics of Ocean Bottom Unit (OBU) Float Array Model for Early Warning Tsunami Systems Using Computational Fluid Dynamics (CFD) Method
title_fullStr Predicting the Drag Coefficient Characteristics of Ocean Bottom Unit (OBU) Float Array Model for Early Warning Tsunami Systems Using Computational Fluid Dynamics (CFD) Method
title_full_unstemmed Predicting the Drag Coefficient Characteristics of Ocean Bottom Unit (OBU) Float Array Model for Early Warning Tsunami Systems Using Computational Fluid Dynamics (CFD) Method
title_short Predicting the Drag Coefficient Characteristics of Ocean Bottom Unit (OBU) Float Array Model for Early Warning Tsunami Systems Using Computational Fluid Dynamics (CFD) Method
title_sort predicting the drag coefficient characteristics of ocean bottom unit obu float array model for early warning tsunami systems using computational fluid dynamics cfd method
url https://jurnal.uns.ac.id/mekanika/article/view/75079
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