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Data-Driven Prediction of Global Load and Motion of Floating Structures

Serr, Johanna (2023) Data-Driven Prediction of Global Load and Motion of Floating Structures. Master's, Technische Universität Hamburg.

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Abstract

This thesis is aimed at investigating the feasibility of using neural network models as mapping tools for instantaneously estimating the temporal relationship between surface elevation data and the vertical motions and bending moment of a vessel advancing in waves.

Item URL in elib:https://elib.dlr.de/203566/
Document Type:Thesis (Master's)
Title:Data-Driven Prediction of Global Load and Motion of Floating Structures
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Serr, JohannaInstitut für Maritime EnergiesystemeUNSPECIFIEDUNSPECIFIED
Date:2023
Open Access:No
Status:Published
Keywords:neural network, FCNN, MLP, time series prediction
Institution:Technische Universität Hamburg
Department:Institut für Konstruktion und Festigkeit von Schiffen
HGF - Research field:Energy
HGF - Program:Energy System Design
HGF - Program Themes:Digitalization and System Technology
DLR - Research area:Energy
DLR - Program:E SY - Energy System Technology and Analysis
DLR - Research theme (Project):E - Energy System Technology
Location: Geesthacht
Institutes and Institutions:Institute of Maritime Energy Systems > Ship Performance
Deposited By: Klein, Marco
Deposited On:08 Apr 2024 07:46
Last Modified:08 Apr 2024 07:46

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