A generalized probabilistic learning approach for multi-fidelity uncertainty quantification in complex physical simulations
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Publication:2083198
DOI10.1016/j.cma.2022.115600OpenAlexW4296617977MaRDI QIDQ2083198
Jonas Biehler, Wolfgang A. Wall, Niklas Fehn, Phaedon-Stelios Koutsourelakis, Jonas Nitzler
Publication date: 10 October 2022
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2001.02892
Bayessmall datafluid-structure interactionprobabilistic learninguncertainty quantificationmulti-fidelity
Bayesian inference (62F15) Monte Carlo methods (65C05) Stochastic analysis applied to problems in fluid mechanics (76M35) Mathematical modeling or simulation for problems pertaining to fluid mechanics (76-10)
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