Journals / Seatific Journal / 2021 / Cilt: 1 - Sayı: 1

Computational prediction of hydrodynamic coefficients for heave motion

Pages
7–14
Publication Date
2021-12-30
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The verification and validation study for the damping term is also performed by implementing the Grid Convergence Index (GCI) method.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, the hydrodynamic coefficients associated with heave motion are obtained by using unsteady Reynolds-averaged Navier-Stokes (URANS) approach.
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Key Findings & Data:The well-known Wigley hull is selected for the calculations of uncoupled added mass and damping coefficients (A33, B33) in deep water.
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Conclusion & Impact:The verification and validation study for the damping term is also performed by implementing the Grid Convergence Index (GCI) method.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Hydrodynamic coefficients · URANS · Wigley hull

Abstract

In this study, the hydrodynamic coefficients associated with heave motion are obtained by using unsteady Reynolds-averaged Navier-Stokes (URANS) approach. The well-known Wigley hull is selected for the calculations of uncoupled added mass and damping coefficients (A33, B33) in deep water. Numerical simulations are performed for six different oscillation frequencies at the Froude number 0.3. First, the 3D ship model is forced in the heave direction with certain frequencies and then the hydrodynamic coefficients are computed with the help of Fourier series expansion. Numerical results are compared with those obtained by the experiments and strip theory. The verification and validation study for the damping term is also performed by implementing the Grid Convergence Index (GCI) method.

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Cite This Article

ÇAKICI, F., KAHRAMANOĞLU, E., DUMAN, S., ALKAN, A. D. (2021). Computational prediction of hydrodynamic coefficients for heave motion. Seatific Journal, Cilt: 1 - Sayı: 1, 7–14. https://ajindex.com/articles/854861

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