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EN
This paper presents an application of artificial neural networks to approximation andidentification of additional wave-generated resistance, slamming and internal forcesdepending on ship motion and wave parameters. The analysis was performed for a typical bulk carrier in ballast loading conditions. The investigations were carried out on the basis of ship response data calculated by means of exact numerical methods. Analytical functions presented in the form of artificial neural networks were analyzed with a viewof their accuracy against standard values. Possible ways of application of the artificialneural networks were examined from the point of view of accuracy of approximation and identification ofthe assumed ship response parameters
EN
The article describes a method of ship seakeeping characteristics modeling that are represented by descriptive variables. The research aimed at checking the possibility of using artificial neural networks for building models based on descriptive values of seakeeping properties and finally, developing design guidelines. The article reports an experiment of modeling a situation of shipping green water by a container vessel. The experiment verifies the theoretically adopted method.
PL
W artykule przedstawiono metodę modelowania właściwości morskich przedstawionych za pomocą zmiennych opisowych. Celem badań było sprawdzenie możliwości wykorzystania sztucznych sieci neuronowych do budowania modeli bazujących na wartościach opisowych właściwości morskich i na tej podstawie opracowywanie wskazówek projektowych. W artykule przeprowadzono przykładowy eksperyment numeryczny modelowania zalewania pokładu kontenerowca, weryfikujący wstępnie przyjętą metodę.
PL
W pracy przedstawiono zastosowanie sztucznych sieci neuronowych do rozpoznawania slammingu w zależności od parametrów ruchu statku i parametrów falowania. Analizę przeprowadzono dla typowego masowca znajdującego się w balastowym stanie załadowania. Badania przeprowadzono w oparciu o odpowiedzi statku obliczone dokładnymi metodami numerycznymi. Opracowane w postaci sztucznych sieci neuronowych funkcje analityczne przeanalizowano pod kątem dokładności w stosunku do wartości wzorcowych. Badano możliwości wykorzystania sztucznych sieci neuronowych pod kątem dokładności rozpoznawania założonych odpowiedzi statku.
EN
This paper presents an application of artificial neural networks to identification of slamming depending on ship motion and wave parameters. The analysis was performed for a typical bulk carrier in ballast loading conditions. The investigations were carried out on the basis of ship response data calculated by means of exact numerical methods. Analytical functions presented in the form of artificial neural networks were analyzed with a view of their accuracy against standard values. Possible ways of application of the artificial neural networks were examined from the point of view of accuracy of identification of the assumed ship response parameters.
EN
In the paper, were presented approximations of numerical calculations of ships roll on thebasis of main service parameters of the ship. This way were obtained several relationshipswhich make it possible to approximate ship roll in regular and irregular waves by usingthe parameters available in the phase of voyage routing. The relationships were elabora-ted by means of artificial neural networks as well as linear and non-linear regressionmethods. A comparative analysis of the methods regarding approximation accuracyagainst standard data was also performed
PL
Przedstawiono metodę oceny stateczności statku, umożliwiającą uwzględnienie zachowania się statku na fali. Istotą metody jest ocena zachowania się statku poddanego tzw. numerycznym próbom morskim. W artykule podano przykład metody uwzględniającej właściwości morskie statku i na tej podstawie opracowano wskazówki do zastosowania tych właściwości w kryterium stateczności poprzecznej.
EN
The paper presents a method for the stability assessment taking into account ship behavior in waves. The m the method aims at examining ship seakeeping ability by the numerical sea test simulation in real-life operation scenarios. The article presents an application of the method for seakeeping analysis which served as a basis for stability criterion formulation.
EN
The article discusses the influence of those environmental conditions on the human being that may cause sea sickness. Different indexes describing motion sickness are presented. Besides, a mathematical inter-relation describing the effect of waves and design parameters on the motion sickness incidence index is described. The relation has been used for developing design guidelines designers may use at the initial design phase.
EN
This paper presents mathematical relationships that allow forecast of the estimated sale price of new container ships, based on data concerning vessels built in 2005–2015. The presented approximations allow estimation of the price based on deadweight capacity (DWT) or the number of containers the ship will carry (TEU). The approximations were developed using linear regression and the theory of artificial neural networks. The presented relations have practical relevance in the estimation of container ship sale price needed in transport studies or preliminary parametric design of the ship. It follows from the above that the use of artificial neural networks to predict the price of a container ship brings more accurate solutions than linear regressions.
EN
The paper presents mathematical relationships that allow us to forecast the estimated main engine power of new container ships, based on data concerning vessels built in 2005-2015. The presented approximations allow us to estimate the engine power based on the length between perpendiculars and the number of containers the ship will carry. The approximations were developed using simple linear regression and multivariate linear regression analysis. The presented relations have practical application for estimation of container ship engine power needed in preliminary parametric design of the ship. It follows from the above that the use of multiple linear regression to predict the main engine power of a container ship brings more accurate solutions than simple linear regression.
PL
W publikacji przedstawiono matematyczne zależności pozwalające na prognozowanie szacunkowej mocy napędu nowo budowanych kontenerowców w latach 2005-2015. Przedstawione aproksymacje pozwalają na oszacowanie mocy napędu w oparciu o długość między pionami i liczbę kontenerów. Aproksymacje zostały opracowane przy wykorzystaniu regresji liniowej jednej i wielu zmiennych. Przedstawione zależności mają praktyczne zastosowanie do szacowania mocy napędu kontenerowca dla potrzeb wstępnego parametrycznego projektowania statku. Z badań wynika, że zastosowanie regresji wielu zmiennych daje dokładniejsze rozwiązania niż zastosowanie regresji jednej zmiennej.
EN
In the paper, were presented approximations of numerical calculations of ship's roll on the basis of main service parameters of the ship. This way were obtained several relationships which make it possible to approximate ship roll in regular and irregular waves by using the parameters available in the phase of voyage routing. The relationships were elaborated by means of artificial neural networks as well as linear and non-linear regression methods. A comparative analysis of the methods regarding approximation accuracy against standard data was also performed.
EN
The main scientific aim of this research was to elaborate design guidelines which could make it possible to improve sea-keeping qualities of passenger-car ferries. The searchedfor design guidelines were prepared in the form of regression functions as well as artificial neural networks on the basis of the results obtained from calculations with the use of numerical methods based on the theory of planar flow around a body. The guidelines make it possible to predict ship roll, sea-sickness index, lateral and vertical accelerations on the basis of quantities available in the preliminary stage of ship design.
EN
The article presents the mathematical function to calculate the added wave resistance transfer function for bulk carriers. Based on this function, the statistical mean added wave resistance generated by an irregular head wave with arbitrary statistical parameters can be forecasted. The input parameters are: waterplane area, waterplane coefficient, ship speed, and frequency of the regular wave. The model has been developed based on the theory of artificial neural networks. The presented function can be used in design analyses, and for planning shipping routes in situations when basic geometrical parameters of the hull are only available and not the full technical documentation. The article presents sample cases of use of this function to calculate the added wave resistance transfer function and the statistical mean added wave resistance. Another presented application refers to waterplane coefficient optimisation taking into account the added wave resistance at the stage of preliminary bulk carrier design.
EN
This paper presents the modeling of car passenger ferryship design parameters with respect to such design criteria as selected sea-keeping qualities and additional resistance in waves. In the first part of the investigations approximations of selected statistical parameters of design criteria of ferryship were elaborated with respect to ship design parameters. The approximation functions were obtained with the use of artificial neural networks. In the second part of the investigations design solutions were searched for by applying the single- and multi-criterial optimization methods. The multi-criterial optimization was performed by using Pareto method. Such approach made it possible to present solutions in such form as to allow decision makers (shipowner, designer) to select solutions the most favourable in each individual case
EN
The methods herein described deal with predicting the added resistance in waves and may be useful in the preliminary stage of ro-ro ferry design. The research was aimed at replacing the complex numerical model with an approximating model based on the principal design parameters. To achieve this aim the author uses the methods of linear regression and theory of artificial neural networks. The resulting mathematical relationships allow to predict the added resistance in waves by utilizing the basic design parameters of the ship and wave parameters. The research results lead to a comparison of applicability of the linear regression and artificial neural networks theory in prediction of the added resistance in waves at the stage of ship parameters design.
PL
W pracy przedstawiono metody prognozowania dodatkowego oporu na fali przydatne na wstępnym etapie projektowania promów ro-ro. Celem badań było zastąpienie skomplikowanego modelu numerycznego prostym modelem aproksymacyjnym bazującym na podstawowych parametrach projektowych. Do osiągnięcia tego celu wykorzystano metody regresji liniowej oraz teorię sztucznych sieci neuronowych. W rezultacie opracowano zależności matematyczne pozwalające na przewidywanie dodatkowego oporu na fali na podstawie podstawowych parametrów projektowych statku i parametrów falowania. Uzyskane wyniki badań pozwoliły na porównanie możliwości wykorzystania regresji liniowej i teorii sztucznych sieci neuronowych do przewidywania dodatkowego oporu na fali na etapie parametrycznego projektowania statku.
EN
In this paper a method is presented of modelling the green water ingress into holds of open-top containership, which can be useful in the preliminary ship design phase. As a result of the research a mathematical formula which makes it possible to determine a minimum freeboard height with a view of as- low- as- possible occurrence rate of green water ingress into holds at given ship design parameters, was obtained. The research was carried out under assumption of constant ship hull dimensions. The design formula was elaborated by using a method based on a goal-oriented conceptual approach to formulation of design criteria, proposed by IMO. On the basis of the concept a deterministic scenario describing operational conditions of the ship in question, was assumed, and for the conditions the research was performed
EN
This paper presents a new approach which makes it possible to take into account seakeeping qualities of ship in the preliminary stage of its design. The presented concept is based on representing ship’s behaviour in waves by means of the so called operational effectiveness index. Presented values of the index were calculated for a broad range of design parameters. On this basis were elaborated analytical functions which approximate the index depending on ship design parameters. Also, example approximations of the index calculated by using artificial neural networks, are attached. The presented approach may find application to ship preliminary design problems as well as in ship service stage to assess sea-keeping performance of a ship before its departure to sea
EN
This paper presents a new approach which makes it possible to take into account seakeeping qualities of ship in the preliminary stage of its design. The presented concept is based on representing ship’s behaviour in waves by means of the so called operational effectiveness index. Presented values of the index were calculated for a broad range of design parameters. On this basis were elaborated analytical functions which approximate the index depending on ship design parameters. Also, example approximations of the index calculated by using artificial neural networks, are attached. The presented approach may find application to ship preliminary design problems as well as in ship service stage to assess sea-keeping performance of a ship before its departure to sea.
EN
The naval architect has to tackle many of the problems, while designing ships for the loading, storage and transport of polymetallic or other nodules, this article focuses on how to assure appropriate hull strength. This author proposes mathematical relationships and operational and design solutions allowing to more effectively reduce shear forces and bending moments during the loading of nodules in the open sea. The suggested solutions may be used in the design of ships intended for such or other functions.
Logistyka
|
2015
|
tom nr 3
651--659, CD 1
PL
W artykule przedstawiono wskazówki projektowe do obliczania zanurzenia maksymalnego kutra rybackiego eksploatowanego w warunkach zbliżonych do rzeczywistych warunków eksploatacji kutrów rybackich. W badaniach zdefiniowano warunki eksploatacji jak najbardziej zbliżone do rzeczywistych warunków eksploatacji wybranych kutrów rybackich. W głównej części pracy opracowano uproszczone zależności matematyczne do obliczenia nośności i zanurzenia maksymalnego na wstępnym etapie projektowania. Na końcu artykułu przedstawiono przykład obliczania zanurzenia maksymalnego wybranych kutrów rybackich w oparciu o opracowane zależności matematyczne.
EN
The paper presents design guidelines for the calculation of the maximum draft of fishing vessel operated under conditions similar to real operating conditions. The study defined operating conditions as close as possible to the real operating conditions selected fishing vessels. The main part of the work are simplified mathematical function for the calculation of deadweight and maximum draft at the preliminary design stage. At the end of the article is an example of the calculation of the maximum draft fishing vessels based on developed mathematical formulas.
EN
This paper presents an application of artificial neural networks to approximation and identification of additional wave-generated resistance, slamming and internal forces depending on ship motion and wave parameters. The analysis was performed for a typical bulk carrier in ballast loading conditions. The investigations were carried out on the basis of ship response data calculated by means of exact numerical methods. Analytical functions presented in the form of artificial neural networks were analyzed with a view of their accuracy against standard values. Possible ways of application of the artificial neural networks were examined from the point of view of accuracy of approximation and identification of the assumed ship response parameters.
EN
Design guidelines are presented for predicting added wave resistance useful at the early stage of designing ro-ro ferries. The guidelines were prepared on the basis of regression analysis of model values of added wave resistance. The model values were calculated by means of 448 ferry shape variants assuming conventional waving parameters and ferry movement parameters. Such approach permitted the replacement of a complicated numerical model with a simple regression model based on basic design parameters.
PL
W pracy przedstawiono wskazówki projektowe dotyczące prognozowania dodatkowego oporu na fali przydatne na wstępnym etapie projektowania promów ro-ro. Wskazówki opracowano w oparciu o analizę regresji wartości wzorcowych dodatkowego oporu na fali. Wartości wzorcowe obliczono za pomocą dokładnych metod numerycznych dla 448 wariantów kształtu promu, przyjmując umowne parametry falowania oraz parametry ruchu promu. Takie podejście pozwoliło zastąpić skomplikowany model numeryczny prostym modelem regresyjnym bazującym na podstawowych parametrach projektowych.
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