A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems

Published 2020 View Full Article

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Title
A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems
Authors
Keywords
Multifidelity methods, Non-intrusive reduced order modeling, Gaussian process regression, Vector-valued machine learning, Nonlinear structural analysis
Journal
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
Volume 364, Issue -, Pages 112947
Publisher
Elsevier BV
Online
2020-03-06
DOI
10.1016/j.cma.2020.112947

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