RELIABILITY-BASED DESIGN OPTIMISATION OF A DUCTED PROPELLER THROUGH MULTI-FIDELITY LEARNING

Eccomas Proceedia ID: 6363 / Conference Proceeding ID: 18806 / DOI: 10.7712/120219.6363.18806 / Category: U - MS 15 - MACHINE LEARNING APPROACHES TO UNCERTAINTY QUANTIFICATION

Authors: Péter Zénó Korondi, Lucia Parussini, Mariapia Marchi, Carlo Poloni

Start Page: 600, End Page: 619, Number of Pages: 20