Publication
Title
Rational modeling of multivariate multi-fidelity data
Author
Abstract
Accurate multi-fidelity modeling is of high importance in the present day engineering design process. It allows to model computationally expensive simulations at a reduced cost by combining simulations with variable fidelity levels. In this paper, a novel algorithm is proposed to build multivariate models from variable fidelity simulations using rational functions. The modeling is based on high-fidelity data and low-fidelity data that is sampled over a parameter space of interest. The former is assumed to be computationally expensive and sparse, whereas the latter is cheaper to obtain but comes at a lower accuracy. It is shown that accurate rational models can be built at a reduced cost by combining these types of data. The effectiveness of the algorithm is applied to several examples and confirmed by numerical results.
Language
English
Source (book)
ECCOMAS Congress 2016 : VII European Congress on Computational Methods in Applied Sciences and Engineering, 5-10 June 2016, Crete, Greece / Papadrakakis, M.; et al.
Publication
Greece : National Technical University of Athens, School of Civil Engineering, Institute of Structural Analysis and Antiseismic Research , 2016
ISBN
978-618-82844-0-1
Volume/pages
p. 4284-4294
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Record
Identification
Creation 01.10.2018
Last edited 15.07.2021
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