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Datenbasierte Modellierung der aerodynamischen Lasten auf Überwasserschiffe
Citation Link: https://doi.org/10.15480/882.8718
Publikationstyp
Doctoral Thesis
Date Issued
2023
Sprache
German
Author(s)
Pache, Rupert
Advisor
Referee
Title Granting Institution
Technische Universität Hamburg
Place of Title Granting Institution
Hamburg
Examination Date
2023-10-06
Institute
TORE-DOI
Citation
Technische Universität Hamburg (2023)
The aerodynamic loads on the superstrucure of ships are influenced by different environmental and operational parameters. In order to determine the loads depending on the system parameters on board in near-real time, data-based surrogate models are developed. High-resolution pressure fields based on hybrid RANS/LES simulations are used as data basis. For the data basis a dimension reduction is performed. To create a fully parametrized model, the functional relationship between the system parameters and the model coefficients is represented by a regression. The surrogate modelling allows an efficient and accurate prediction of the pressure fields and resulting loads for arbitrary values of the system parameters.
DDC Class
620: Engineering
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dissertation_rupert_pache.pdf
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