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Titel:

Stochastic multi-fidelity surrogate modeling of dendritic crystal growth

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Winter, J.M.; Kaiser, J.W.J.; Adami, S.; Akhatov, I.S.; Adams, N.A.
Abstract:
In this work, we propose a novel framework coupling state-of-the-art multi-fidelity Gaussian Process modeling techniques with input-space warping for a cost-efficient construction of a stochastic surrogate model. During model generation, we achieve high computational efficiency by combining a large number of cheap estimates (low-fidelity model) with only a few, computationally expensive, high-fidelity measurements. We base the fidelity hierarchy on coarse-grid approximations of high-fidelity num...     »
Stichworte:
Dendritic growth; Gaussian processes; Input warping; Multi-fidelity model; Multiresolution; Stochastic surrogate modeling
Dewey Dezimalklassifikation:
620 Ingenieurwissenschaften
Horizon 2020:
Horizon 2020 Framework Programme, No. 667483
Zeitschriftentitel:
Computer Methods in Applied Mechanics and Engineering
Jahr:
2022
Band / Volume:
393
Seitenangaben Beitrag:
114799
Nachgewiesen in:
Scopus
Sprache:
en
Volltext / DOI:
doi:10.1016/j.cma.2022.114799
WWW:
https://www.sciencedirect.com/science/article/abs/pii/S0045782522001311
Verlag / Institution:
Elsevier BV
E-ISSN:
0045-7825
Hinweise:
Funding text 1 The first, third, and fifth authors acknowledge funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No. 667483 ). The authors gratefully acknowledge the Gauss Centre for Supercomputing e.V. ( www.gauss-centre.eu ) for funding this project by providing computing time on the GCS Supercomputer SuperMUC-NG at Leibniz Supercomputing Centre ( www.lrz.de ). Funding text 2 The first, third, and fifth...     »
Eingereicht (bei Zeitschrift):
08.09.2021
Angenommen (von Zeitschrift):
20.02.2022
Publikationsdatum:
01.04.2022
TUM Einrichtung:
Lehrstuhl für Aerodynamik und Strömungsmechanik
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