Abstract
Application of artificial neural networks to approximation and identification of sea-keeping performance of a bulk carrier in ballast loading condition 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.
Highlights
Various optimization methods of ship design parameters or operational ones are often applied to problems associated with ship designing and operation
Where: ET – the operational effectiveness index under assumptions that: Ship will operate in a given sea region with the frequency fA It will operate in that region with the frequency fS in each season of the year In a given season and sea region waves of fμ frequency propagating from μ directio, will occur For μ- direction waves of the parameters HS and T will occur with the frequency fHT On its shipping route the considered ship will move with the speed V and course angle ψ with the frequencies fV and f, respectively ψ
For the approximation of shear forces and bending moments in irregular waves at selected frame stations of the ship was used the set of MLP neural networks having the structures and statistical parameters shown in Tab. 3 and 4
Summary
Various optimization methods of ship design parameters or operational ones are often applied to problems associated with ship designing and operation. Ship sea-keeping qualities are usually used as constraints for ship design or shipping route since they first of all influence ship safety. To this end various approaches are applied. In the publications [1,4] assessment of sea-keeping qualities was presented in terms of the operational effectiveness index E , T which expresses probability of the event that ship response to given wave conditions will not exceed an assumed level: ET = ∑A ∑S∑μ ∑HT ∑V ∑ψ[P(Ω = 1)] (1). Values of the function Ω are determined on the basis of the criteria for the sea-keeping qualities
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
