Effects of hull form parameters on seakeeping for YTU gulet series with cruiser stern

Çakıcı, Ferdi; Aydin, Muhsin

doi:10.2478/ijnaoe-2013-0206

Cited by 8 publications

(5 citation statements)

References 5 publications

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“…Simple linear regression establishes a linear relationship between two variables, whereas nonlinear regression establishes nonlinear correlations [34]. Cakici and Aydin used a nonlinear regression method for ship design and prediction [35]. The model's objective is to minimize the residual sum of squares (RSS), a measure of the variance between the observations of Y and the nonlinear function used to forecast Y.…”

Section: Nonlinear Regressionmentioning

confidence: 99%

Estimating bulk carriers’ main engine power and emissions

Güneş¹

2023

brod

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Great importance is had in understanding the current situation of maritime transport and making predictions about its future. Maritime transport is an essential part of transportation, and correctly predicting installed main engine power has great significance in maritime transport with regard to fuel consumption and the generation of emissions. Nonlinear regression is a method with great potential in making predictions, as it allows for more realistic models to be developed using multiple variables. Vessels' dimensions of carrying capacity, gross tonnage, length, and breadth significantly impact the required main engine power. This article will calculate and estimate the installed main engine power for bulk carriers through nonlinear regression using data for the as yet highest number of bulk carriers (n = 9,174 ships) and compare the results with the studies in the literature. The developed model has an accuracy of 93.2% for six different bulk carrier types (Small, Handysize, Handymax, Panamax, Capesize, and Large Capesize). In addition, the study calculates the emissions these ships produce (NOx, SO2, CO2, HC, PM), estimating and demonstrating a nonlinear linear regression model for these ships' emission amounts. The performed analyses have found the main engine power required per unit of load to decrease as ship size increases. However, these analyses also show the emissions generated per unit of load to decrease as size increases, with Large Capesize vessels being found to have the lowest fuel consumption and emission generation per unit of load.

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Section: Nonlinear Regressionmentioning

confidence: 99%

Estimating bulk carriers’ main engine power and emissions

Güneş¹

2023

brod

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“…Since then, many simplified approaches have been proposed, based on multivariate regression analysis. These approaches to predictive models range from approximate prediction of seakeeping qualities for conventional merchant ships (Loukakis & Chryssostomidis, 1975;Moor & Murdey, 1968) and gulets (Cakici & Aydin, 2014), to generation of design charts (Hearn et al, 1991) and to application of different forms of seakeeping rank (Kishev, 1992;McCreight, 1983;Nabergoj et al, 2003;Trincas et al, 2001;Walden & Grundmann, 1985;Wijngaarden, 1984;Zborowski & Shiaw-Jyh, 1992) to identify the comparative merit of alternative hull forms.…”

Section: Introductionmentioning

confidence: 99%

Metamodels for seakeeping assessment of fishing vessels

Trincas¹

2021

Seatific

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The most significant goals of this paper are: (i) to provide additional insight on the influence of hull form parameters on seakeeping performance of typical Mediterranean fishing vessels; (ii) to develop efficient and reliable metamodels for fast and reliable evaluation of seakeeping performance in a multiattribute decision-making environment; (iii) to facilitate and speed up the selection of the design with the best possible seakeeping performance at conceptual design stage. To enhance the accuracy and applicability of predictions of seakeeping characteristics and to find out guidelines for design scope, new metamodels have been developed from an extended database of 57 cases, which comprehends the hull form geometrical data, heave (h), pitch (p) and vertical acceleration (a v ) rms values of both old 39 cases studied previously as well as new 18 cases of Mediterranean coastal fishing vessels previously analysed for resistance assessment. Main statistical parameters of the derived regression equations show a substantial improvement of statistical accuracy in h, p and a v estimates, particularly when geometrical descriptors of forebody and afterbody hull form are included as independent variables. Statistical homogeneity of the N57 extended database was verified by cluster analysis of selected responses with classical hull form coefficients/parameters, and new descriptors data altogether taken as discriminant variables in two nucleus clustering analysis. Values of heave, pitch and vertical acceleration yielded by the metamodels have been compared to the ones determined by means of direct computations. Low residuals have confirmed reliability of the proposed prediction metamodels to determine since conceptual design stage seakeeping performance of fishing vessels with hull forms and main dimensions which could be included in the design space defined by the population forming the extended database.

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“…Following that study, a lot of related studies have been carried out. For example, Sayli [3] and Cakici [4] recently proposed a data analysis approach to extract the dominant hull-form parameters and their influence from a ship motion database. Apart from these studies, Jensen [5,6] proposed a semi-analytical approach to develop simplified formulae of wave-induced ship motion and a VBM that is based on the strip theory, which explicitly includes the hull-form shape parameters.…”

Section: Introductionmentioning

confidence: 99%

“…This study is based on the following fundamental idea: the ship response in waves is mainly dominated by the broad topography of the ship and minor modifications of hull-form are secondary [13]. This fact is generally accepted, and this allows a rough estimation of the seakeeping performance or wave loads in the early design phase where the bodylines have not been determined [2][3][4][5][6]. Furthermore, this study focused on not only the simplicity but also the physical meaning of hull-form parameters.…”

Section: Introductionmentioning

confidence: 99%

A new mathematical hull-form with 10-shape parameters for evaluation of ship response in waves

Matsui

2021

J Mar Sci Technol

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This study presents a new mathematical hull-form that is expressed as an explicit function with 10 hull-form parameters, which is called the Matsui hull-form in this study. The proposed hull-form was developed by expanding the modified Wigley hull-form so that the following 10 hull-form parameters can be independently varied: main dimensions $$L$$ L , $$B$$ B , $$d$$ d , fineness coefficients $${C}_{b}$$ C b , $${C}_{\mathrm{m}}$$ C m , $${C}_{\mathrm{w}}$$ C w , second moment of waterplane area coefficient $${C}_{\mathrm{w}2}$$ C w 2 , longitudinal center of buoyancy LCB and floatation LCF, and a parameter $$\beta$$ β related to anterior–posterior asymmetry. The main purpose of this hull-form is that it is utilized for the following two objects: the first is the simple evaluation of the seakeeping performance and wave loads in the early ship designing stage without any detailed offset data, and the second is a systematical study on the influence of a ship’s dimensions on the ship response in waves. This paper presents the derivation of the Matsui hull-form and the applicability of the proposed hull-from was confirmed by comparing the ship response in waves with the actual ships. Moreover, a sensitivity analysis of the ship response in waves was conducted as an example of the application of the proposed hull-form.

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Effects of hull form parameters on seakeeping for YTU gulet series with cruiser stern

Cited by 8 publications

References 5 publications

Estimating bulk carriers’ main engine power and emissions

Estimating bulk carriers’ main engine power and emissions

Metamodels for seakeeping assessment of fishing vessels

A new mathematical hull-form with 10-shape parameters for evaluation of ship response in waves

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