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Pregled bibliografske jedinice broj: 1025251

Application of Pattern Recognition Method for Estimating Wind Loads on Ships and Marine Objects


(Vesalius College (VeCo), Vrije Universiteit Brussel (VUB), Brussels, Belgium) Valčić, Marko; Prpić-Oršić, Jasna; Vučinić, Dean
Application of Pattern Recognition Method for Estimating Wind Loads on Ships and Marine Objects // Advances in Visualization and Optimization Techniques for Multidisciplinary Research. Trends in Modelling and Simulations for Engineering Applications. / Vucinic, Dean ; Rodrigues Leta, Fabiana ; Janardhanan, Sheeja (ur.).
Singapore: Springer, 2020. str. 123-158 doi:10.1007/978-981-13-9806-3_5


Naslov
Application of Pattern Recognition Method for Estimating Wind Loads on Ships and Marine Objects

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

Kolaboracija
Vesalius College (VeCo), Vrije Universiteit Brussel (VUB), Brussels, Belgium

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni

Knjiga
Advances in Visualization and Optimization Techniques for Multidisciplinary Research. Trends in Modelling and Simulations for Engineering Applications.

Urednik/ci
Vucinic, Dean ; Rodrigues Leta, Fabiana ; Janardhanan, Sheeja

Izdavač
Springer

Grad
Singapore

Godina
2020

Raspon stranica
123-158

ISBN
978-981-13-9805-6

Ključne riječi
Ships ; Wind loads ; Elliptic Fourier descriptors ; Generalized regression neural network ; Sensitivity analysis

Sažetak
Wind loads on ships and marine objects are a complicated phenomenon because of the complex configuration of the above-water part of the structure. This study 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, where EFDs are used for ship frontal and lateral closed contour representation. This approach takes into account all aspects of the variability of the above-water frontal and lateral ship profile. It is very suitable for assessing wind loads on marine structures wherever we have a wind load database for a group of similar vessels. In this way, the cheaper and faster calculation can bridge the gap between ship shapes for which calculations or experiments have already been made. The Generalized Regression Neural Network (GRNN) is trained by EFDs of closed contours as inputs and wind load data derived from wind tunnel tests for a group of ships are used as targets. The trained neural network is used for the estimation of non-dimensional wind load coefficients and results for a group of offshore supply vessels, car carriers and container ships are presented and compared with the experimental data. Finally, sensitivity analysis is performed with respect to the variability of lateral container vessel contours in order to investigate how small changes in the contour geometry affect the overall estimation of wind load coefficients.

Izvorni jezik
Engleski

Znanstvena područja
Brodogradnja, Strojarstvo, Tehnologija prometa i transport, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Projekt / tema
HRZZ-IP-2018-01-3739 - Sustav potpore odlučivanju za zeleniju i sigurniju plovidbu brodova (Jasna Prpić-Oršić, HRZZ)

Ustanove
Tehnički fakultet, Rijeka

Citiraj ovu publikaciju

(Vesalius College (VeCo), Vrije Universiteit Brussel (VUB), Brussels, Belgium) Valčić, Marko; Prpić-Oršić, Jasna; Vučinić, Dean
Application of Pattern Recognition Method for Estimating Wind Loads on Ships and Marine Objects // Advances in Visualization and Optimization Techniques for Multidisciplinary Research. Trends in Modelling and Simulations for Engineering Applications. / Vucinic, Dean ; Rodrigues Leta, Fabiana ; Janardhanan, Sheeja (ur.).
Singapore: Springer, 2020. str. 123-158 doi:10.1007/978-981-13-9806-3_5
(Vesalius College (VeCo), Vrije Universiteit Brussel (VUB), Brussels, Belgium) (Vesalius College (VeCo), Vrije Universiteit Brussel (VUB), Brussels, Belgium) Valčić, Marko, Prpić-Oršić, J. & Vučinić, D. (2020) Application of Pattern Recognition Method for Estimating Wind Loads on Ships and Marine Objects. U: Vucinic, D., Rodrigues Leta, F. & Janardhanan, S. (ur.) Advances in Visualization and Optimization Techniques for Multidisciplinary Research. Trends in Modelling and Simulations for Engineering Applications.. Singapore, Springer, str. 123-158 doi:10.1007/978-981-13-9806-3_5.
@inbook{inbook, year = {2020}, pages = {123-158}, DOI = {10.1007/978-981-13-9806-3\_5}, keywords = {Ships, Wind loads, Elliptic Fourier descriptors, Generalized regression neural network, Sensitivity analysis}, doi = {10.1007/978-981-13-9806-3\_5}, isbn = {978-981-13-9805-6}, title = {Application of Pattern Recognition Method for Estimating Wind Loads on Ships and Marine Objects}, keyword = {Ships, Wind loads, Elliptic Fourier descriptors, Generalized regression neural network, Sensitivity analysis}, publisher = {Springer}, publisherplace = {Singapore} }

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