Stern Wave Topography and Longitudinal Wave Cuts Obtained on Model 5415, With and Without Propulsion

Ratcliffe, Toby; Mutnick, Ian; Rice, James

doi:10.21236/ada389428

Cited by 4 publications

(3 citation statements)

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“…The time series data are trans-ferred to the frequency domain using the spectral analysis method by discrete Fourier transform (DFT) and smoothing algorithms. The DTMB 5415 hull form [31] (in forward motion with a Froude number of 0.41), which is the preliminary form of the DDG-51, is used for the current study. The three Cartesian coordinate systems defined by Beck et al [32] are used for the simulation.…”

Section: Methodsmentioning

confidence: 99%

Simulation based calculation of ship motions in extreme seas with a body-exact strip theory approach

2021

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For all design phases of naval vessels, the fidelity of seakeeping calculations in extreme seas is open to discussion due to the inadequacy of the linear theory of ship motions. Currently the computer-generated time series of ship responses and wave height (the real time computer experiments) are utilized to calculate the distribution of the vertical distortion, shear force and bending moment by means of “ship hydroelasticity theory”. Inspired by these studies a simulation based calculation of symmetric ship motions is performed in long crested irregular head seas, in addition with a body-exact strip theory approach. The scope of this study is limited to the ship motions only. Verification is achieved utilizing the spectral analysis procedure which contains the discrete Fourier transform (DFT) and the smoothing algorithms. The results are compared with the experimental data, and the ANSYS AQWA software results. The simulation results provide adequate data for the extreme responses. This state-of-the-art method in addition with a “body-exact strip theory approach” ensures the consistent assessment of the seakeeping performance in extreme sea condition. As a result, it is evaluated that this calculation method can be used in the design stages of naval platforms.

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Section: Methodsmentioning

confidence: 99%

Simulation based calculation of ship motions in extreme seas with a body-exact strip theory approach

2021

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“…Heave and pitch motion time history (in long-crested seas) of a DTMB Model 5415 representing the preliminary design of the DDG-51 hull form [35] (in forward motion with the Froude number of 0.41), derived from Equation (46), shown in Figure 9 and Figure 10 was validated like the wave time history. The maximum encounter frequency, i.e.…”

Section: Validationmentioning

confidence: 99%

Simulation-Based Analysis of Ship Motions in Short-Crested Irregular Seas

Anıl¹,

Danışman²,

Sarıöz³

2017

J ETA Maritime Sci

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“…Up to now, the main methods to predict the ship resistance are empirical methods (Holtrop resistance regression formula, etc. ), experimental methods [5][6] and numerical methods [7][8][9]. However, the workload of experimental methods and numerical methods is large, while the results generated by empirical methods are widely accepted by researchers all over the world [10][11][12]; moreover, the prediction accuracy can be further improved.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Surface Ship's Residual Resistance Coefficient Using Neural Networks

Song

Zhang

Wang

et al. 2013

AMR

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The Holtrop method, which provides a prediction of the components of surface ships total resistance, is widely used at ships initial design stage for estimating the resistance. In this paper a neural network model which performs the same role as the Holtrop method is presented to predict the residual resistance. A multilayer perceptron has been trained with the data generated by the Holtrop method to learn the relationship between the input (length-displacement ratio, prismatic coefficient, breadth-draft ratio and Froude number) and the target variable (the residual resistance coefficient). The results of this model have been compared against those provided by the Holtrop method and it is found that the quality of the prediction is improved over the entire range of data. The neural network provides an accurate estimation of the residual resistance with the Froude number and the hull geometry coefficients as variables.

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Stern Wave Topography and Longitudinal Wave Cuts Obtained on Model 5415, With and Without Propulsion

Cited by 4 publications

References 0 publications

Simulation based calculation of ship motions in extreme seas with a body-exact strip theory approach

Simulation based calculation of ship motions in extreme seas with a body-exact strip theory approach

Simulation-Based Analysis of Ship Motions in Short-Crested Irregular Seas

Prediction of Surface Ship's Residual Resistance Coefficient Using Neural Networks

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