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Title
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Rational modeling of multivariate multi-fidelity data
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Author
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Abstract
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| 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. |
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Language
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English
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Source (book)
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ECCOMAS Congress 2016 : VII European Congress on Computational Methods in Applied Sciences and Engineering, 5-10 June 2016, Crete, Greece / Papadrakakis, M.; et al.
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Publication
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Greece
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National Technical University of Athens, School of Civil Engineering, Institute of Structural Analysis and Antiseismic Research
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2016
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ISBN
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978-618-82844-0-1
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Volume/pages
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p. 4284-4294
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Full text (open access)
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