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Application of pattern recognition method for estimating wind loads on ships and marine objects (CROSBI ID 637929)

Prilog sa skupa u zborniku | sažetak izlaganja sa skupa | međunarodna recenzija

Valčić, Marko ; Prpić-Oršić, Jasna ; Vučinić, Dean Application of pattern recognition method for estimating wind loads on ships and marine objects. 2016

Podaci o odgovornosti

Valčić, Marko ; Prpić-Oršić, Jasna ; Vučinić, Dean

engleski

Application of pattern recognition method for estimating wind loads on ships and marine objects

This paper presents an extension of application capabilities of elliptic Fourier descriptors (EFDs) from the usual pattern recognition and classification problems to problems of very complex nonlinear multivariable approximations of multi-input and multi-output (MIMO) functions. Wind loads on ships and marine objects are a complicated phenomenon because of the complex configuration of the above-water part of the structure. The proposed approach of wind load estimation method presented in this paper consists of four basic parts: acquisition and pre-processing of vessel images ; image editing ; data preparation for neural network training ; validating and testing of created neural network. The method is based on elliptic Fourier features of a closed contour which are used for ship frontal and lateral closed contour representation. Therefore, this approach takes into account all aspects of the variability of the above-water frontal and lateral ship profile. For the purpose of multivariate nonlinear regression, the generalized regression radial basis neural network is trained by elliptic Fourier features of closed contours and wind load data derived from wind tunnel tests. The trained neural network is used for the estimation of non-dimensional wind load coefficients. The results for a group of car carriers are presented and compared with the experimental data.

pattern recognition; wind loads; ships

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Podaci o prilogu

2016.

nije evidentirano

Podaci o matičnoj publikaciji

Podaci o skupu

10th International Conference on Advanced Computational Engineering and Experimenting, ACE-X 2016

predavanje

03.07.2016-06.07.2016

Split, Hrvatska

Povezanost rada

Brodogradnja