Abstract
Background/Objectives: To develop a universal method for wind force and moment coefficient prediction on marine vessels independent of ship types. The marine vessels’ equation of motion includes hydrodynamics forces, moments and environmental disturbances. One of the environmental forces and moment acting on the ship originate from wind and play a vital role in offshore operations. Till date, wind loads are determined by statistical and regression analysis. In this paper, an extreme learning machine is used as a technique to predict the wind force and moment coefficients. Findings: This approach is novel and is common for any ship shapes. The performance of the proposed method is much more accurate and simplified compared with the existing tools. The result matches precisely with the experimental data. Applications/ Improvement: This method shall be an effective tool in calculation of wind loads on marine structures which is extremely critical in marine operations and ship maneuvering and positioning.
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.
