Variance-based adaptive sequential sampling for Polynomial Chaos Expansion

This paper presents a novel adaptive sequential sampling method for building Polynomial Chaos Expansion surrogate models. The technique enables one-by-one extension of an experimental design while trying to obtain an optimal sample at each stage of the adaptive sequential surrogate model constructio...

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Vydané v:	Computer methods in applied mechanics and engineering Ročník 386; s. 114105
Hlavní autori:	Novák, Lukáš, Vořechovský, Miroslav, Sadílek, Václav, Shields, Michael D.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Amsterdam Elsevier B.V 01.12.2021 Elsevier BV
Predmet:	Adaptive sampling Coherence optimal sampling Design of experiments Domains Hypercubes Latin hypercube sampling Microbalances Model accuracy Polynomial Chaos Expansion Polynomials Sampling methods Sequential sampling Coherence optimal sampling Adaptive sampling Sequential sampling Polynomial Chaos Expansion
ISSN:	0045-7825, 1879-2138
On-line prístup:	Získať plný text
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