Prilog istraživanju analitičkih metoda za proračun tehničko-eksploatacionih pokazatelja brodova dunavske plovne mreže u cilju poboljšanja plovidbe
Analytical metods for calculation of Danubian vessels' performance characteristics in order to improve navigation
Author
Radonjić, Aleksandar N.
Mentor
Vukadinović, Katarina S.
Committee members
Hrle, Zlatko Š.Kostić, Dragutin J.
Hofman, Milan
Škiljaica, Vladimir S.
Metadata
Show full item recordAbstract
Predmet istraživanja ovog doktorskog rada je snaga na propelerskim vratilima
brodova-potiskivaca. Istraživanje se zasniva na izvršenim eksperimentalnim
ispitivanjima brodova-potiskivaca koji su bili u potiskivanim sklopovima tokom
ispitivanja. Eksperimentalna ispitivanja brodova-potiskivaca su obavljena na dunavskoj
plovnoj mreži. Rezultati eksperimentalnih ispitivanja brodova-potiskivaca pokazali su
da se dobijaju prihvatljive vrednosti za snage na propelerskim vratilima brodovapotiskivaca.
Istraživanjem razlicitih analitickih metoda zakljuceno je da se ne mogu dobiti
dovoljno precizne vrednosti snage na propelerskim vratilima brodova-potiskivaca. Zbog
toga je razvijen matematicki model za proracun snage na propelerskim vratilima
brodova-potiskivaca kao izlazne vrednosti iz modela. Matematickim modelom
omoguceno je modeliranje preslikavanja vrednosti ulaznih u vrednosti izlazne
promenljive (snage na propelerskim vratilima brodova-potiskivaca). Predložen je model
jedne veštacke neurons...ke mreže za proracun snaga na propelerskim vratilima brodovapotiskivaca.
Kako ni ova metodologija nije dala rezultate ocekivane tacnosti, usvojen je
model skupa veštackih neuronskih mreža (“Ensemble Neural Networks“). Veštacke
neuronske mreže su odabrane zbog tacnosti i jednostavnosti modeliranja preslikavanja
vrednosti ulaznih u vrednosti izlazne promenljive.
Po odredivanju metodologije za modeliranje preslikavanja vrednosti ulaznih u
vrednosti izlazne promenljive za ulazne velicine uzete su brzine plovidbe potiskivanih
sklopova u mirnoj vodi, glavne dimenzije ispitivanih potiskivanih sklopova i deplasman
potiskivanih sklopova. Odredena je i jedna izlazna promenljiva i ona je snaga na
propelerskim vratilima brodova-potiskivaca. Glavni cilj disertacije je da se odredi
funkcionalna veza izmedu pomenutih ulaznih i jedne izlazne promenljive cime se
zahtevi za eksperimentalnim ispitivanjima brodova-potiskivaca smanjuju...
The subject of this doctoral thesis is the towboat shaft power required to propel
pushed convoys. The research is based on the performed full-scale trials obtained at the
serbian part of the river Danube.
The main aim of the dissertation is to determine the functional relationship
between the pushed convoy speeds through water and towboat shaft powers according
to main dimensions of pushed convoys. On the basis of functional relationships between
pushed convoy speeds through water and towboat shaft powers ship captains and crews
will receive the necessary information about the operating characteristics of the certain
pushed convoys.
Data modelling was performed by using Artificial neural networks. Data
modeling is performed by using artificial neural networks. Artificial neural networks
have been chosen as being the most suitable data analytic method with abilities to
effectively work with highly nonlinear and multi-dimensional data, their modeling
flexibility, their generalization abi...lity, their adaptability and good predictive ability.
Ensembles of neural networks with their component networks were used to
predict towboat shaft power. The entire set of experimental data was divided into a
training data set and testing data set. Before the training of component artificial neural
networks, Akaike information criterion was adopted to rank several configurations of
networks. According to their rankings, several component networks with different
architectures were selected to make ensemble. Once that training of comonent networks
was finished, the analysis of output results was made and the boundaries of the model of
Ensemble of beural network was determined.
In this paper the original model of neural network ensemble is proposed to
calculate the required towboat shaft power as well as to select appropriate towboat
installed power depending on on the pushed convoy speed and main dimensions. The
model is applicable to different pushed convoys that were part of full-scale trials...