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58,80 €ISBN 978-3-8440-9752-8Softcover178 pages48 figures235 g21 x 14,8 cmEnglishThesis
January 2025
Thomas Kohlsche
Multi-fidelity Gaussian process surrogate models for numerical acoustic design in frequency domain
This thesis investigates Multi-Fidelity (MF) Gaussian Processes (GP) as surrogates in numerical acoustic design. Here, the parameter dependence of the acoustic target quantity is learned based on data of varying fidelity using GP regression. Data of different fidelity levels is generated using finite element models of varying numerical resolution. The fundamental suitability of these data for MF models is examined before discussing the theoretical potential of the method and various practical implementation options. The results of the study demonstrate that while MF models can outperform conventional approaches significantly, their application is considerably more complex and error-prone.
Keywords: Multi-fidelity; acoustics; surrogate; Gaussian process
Schriftenreihe des Instituts für Modellierung und Berechnung
Edited by Prof. Dr.-Ing. Otto von Estorff, Hamburg
Volume 2025,39
Other formats
Electronic publication (PDF): 978-3-8440-9852-5
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