Numerical study of ship motions and added resistance in regular incident waves of KVLCC2 model

Özdemir, Yavuz Hakan; Barlas, Barış

doi:10.1016/j.ijnaoe.2016.09.001

Cited by 24 publications

(10 citation statements)

References 15 publications

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“…The pitch movement angles presented by Ozdemir and Barlas [32] range between −3°and 3°, which is greater when compared to the angles found in the present study. However, the vessel used by Ozdemir and Barlas [32] was significantly larger (320 m), and the waves were 180°related to the ship's direction, while in the present study the waves focus with different angles.…”

Section: Resultscontrasting

confidence: 83%

“…It can be understood that in the cases where the hull and the rudder were studied, the ship reaches some stability near to the first hour and in the other cases, the angular movements vary during all simulation periods. The behavior of the ship observed in all cases disagrees with the results reported by similar studies (Cha and Wan [29], Chuang and Steen [30], Bennett et al [31], Ozdemir and Barlas [32]). Cha and Wan [29] had obtained regular sine-wave behaviors for the pitch movement, with linear characteristics.…”

Section: Resultscontrasting

confidence: 77%

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Preliminary Study on the Contribution of External Forces to Ship Behavior

Silva

Oleinik

Kirinus

et al. 2019

JMSE

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Computational modeling has become a prominent tool to simulate physical processes for research and development projects. The coastal region of southern Brazil is very susceptible to oil spill accidents. Currently, oil is intensively transported in the region due to the presence of the Rio Grande Harbor, the Transpetro Waterway Terminal (Petrobras) and the Riograndense S/A Oil Refinery. Therefore, simulations under ideal navigation conditions for ships with potentially polluting loads are important because their use can reduce oil spills and toxic compound accidents in the environment. Therefore, the main objective of this work is to present a preliminary study of the contribution of external forces to a ship’s behavior over a simulation period of 5 h. The methodology is based on the development of a numerical model using LaGrangian formalism and the calculus of variations, besides Maneuvering Modeling Group (MMG Model). The external forces considered were the wind acting directly on the ship, waves driven by wind, the rudder, the force acting on the hull, inertial forces, and seawater density. The results indicate that at the beginning of the simulation, the inertial forces were of primary importance for controlling the trajectory of the ship. After 5 h of simulations, the ship had completely changed its trajectory due to forces suffered by the ship, classified according to MMG Model.

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Section: Resultscontrasting

confidence: 83%

Section: Resultscontrasting

confidence: 77%

Preliminary Study on the Contribution of External Forces to Ship Behavior

Silva

Oleinik

Kirinus

et al. 2019

JMSE

View full text Add to dashboard Cite

show abstract

“…However, the forecast of the added resistance generated mostly from a vessel forepart reveals great dispersion of outcomes depending on the adopted approach. There are various techniques available to predict the added resistance in waves, such as potential-based methods [24][25][26][27], experimental methods [28,29], and computational fluid dynamics (CFD) approaches [30][31][32][33][34].…”

Section: Introductionmentioning

confidence: 99%

Neural Network Approach for Predicting Ship Speed and Fuel Consumption

Moreira

Vettor

Soares

2021

JMSE

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In this paper, simulations of a ship travelling on a given oceanic route were performed by a weather routing system to provide a large realistic navigation data set, which could represent a collection of data obtained on board a ship in operation. This data set was employed to train a neural network computing system in order to predict ship speed and fuel consumption. The model was trained using the Levenberg–Marquardt backpropagation scheme to establish the relation between the ship speed and the respective propulsion configuration for the existing sea conditions, i.e., the output torque of the main engine, the revolutions per minute of the propulsion shaft, the significant wave height, and the peak period of the waves, together with the relative angle of wave encounter. Additional results were obtained by also using the model to train the relationship between the same inputs used to determine the speed of the ship and the fuel consumption. A sensitivity analysis was performed to analyze the artificial neural network capability to forecast the ship speed and fuel oil consumption without information on the status of the engine (the revolutions per minute and torque) using as inputs only the information of the sea state. The results obtained with the neural network model show very good accuracy both in the prediction of the speed of the vessel and the fuel consumption.

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“…DOMAIN DISCRETIZATION Two separate meshes has been prepared. First, with standard approach (Ozdemir and Barlas, 2017), where the symmetry plane boundary condition is present (Fig. 3).…”

Section: Governing Equationsmentioning

confidence: 99%

Influence of the Symmetry Plane Boundary Condition on the Planing Multihull Calm Water Resistance Test. CFD to Towing Tank Comparison

Sugalski

2018

New Trends in Production Engineering

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This article present results of the comparison between numerical simulation (utilising Computational Fluid Dynamics) and towing tank experiment of the multihull vessel. Effect of the symmetry plane boundary condition on the resistance has been investigated. Reynolds-Averaged Navier Stokes equations with k-ω turbulence model has been used to calculate resistance of the hull with two degrees of freedom (2-DOF). Calculation has been done using OpenFOAM software package. Governing equations of fluid motion, together with the concept of the mesh and boundary condition has been presented in the first section of this work. Conclusion about calculating resistance of the multihull vessels has been made, after short presentation of the results.

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Numerical study of ship motions and added resistance in regular incident waves of KVLCC2 model

Cited by 24 publications

References 15 publications

Preliminary Study on the Contribution of External Forces to Ship Behavior

Preliminary Study on the Contribution of External Forces to Ship Behavior

Neural Network Approach for Predicting Ship Speed and Fuel Consumption

Influence of the Symmetry Plane Boundary Condition on the Planing Multihull Calm Water Resistance Test. CFD to Towing Tank Comparison

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