Pregled bibliografske jedinice broj: 778982
Wind load estimation method based on Elliptic Fourier Descriptors
Wind load estimation method based on Elliptic Fourier Descriptors // Proceedings of the 16th International Congress of the International Maritime Association of the Mediterranean IMAM 2015 - Towards Green Marine Technology and Transport / Guedes Soares, C., Dejhalla, R., Pavletić, D. (ur.).
Chenai: CRC Press ; A.A. Balkema Publishers ; Taylor & Francis, 2015. str. 883-890 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 778982 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Wind load estimation method based on Elliptic Fourier Descriptors
Autori
Valčić, Marko ; Prpić-Oršić, Jasna
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 16th International Congress of the International Maritime Association of the Mediterranean IMAM 2015 - Towards Green Marine Technology and Transport
/ Guedes Soares, C., Dejhalla, R., Pavletić, D. - Chenai : CRC Press ; A.A. Balkema Publishers ; Taylor & Francis, 2015, 883-890
ISBN
978-1-138-02887-6
Skup
16th International Congress of the International Maritime Association of the Mediterranean IMAM 2015 - Towards Green Marine Technology and Transport
Mjesto i datum
Pula, Hrvatska, 21.09.2015. - 24.09.2015
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Wind load estimation; Elliptic Fourier Descriptors; Generalized Regression Neural Network
Sažetak
Wind loads on ships and marine objects are complicated phenomenon because of the complex configuration of the above water part of the structure. The estimation of wind loads on ships and other marine objects represents the continuous challenge because of its implication on various analysis related to ship stability, ship speed estimation, manoeuvring, station keeping and berthing. This paper presents a new approach of wind loads estimation. The method is based on Elliptic Fourier Descriptors (EFD) 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. The Generalized Regression Neural Network (GRNN) is trained by elliptic Fourier descriptors of closed contours and Blendermann wind load data derived from wind tunnel tests for a group of ships. The trained neural network is used for the wind coefficient estimation of an offshore vessel. The results are compared with the experimental data.
Izvorni jezik
Engleski
Znanstvena područja
Brodogradnja, Tehnologija prometa i transport
POVEZANOST RADA
Projekti:
HRZZ-IP-2013-11-8722 - Ekološki pristup projektiranju broda i optimalnom planiranju rute (GASDORP) (Prpić-Oršić, Jasna, HRZZ - 2013-11) ( CroRIS)
Ustanove:
Tehnički fakultet, Rijeka,
Pomorski fakultet, Rijeka
