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pro vyhledávání: '"Guilleminot, Johann"'
This paper presents a probabilistic approach to represent and quantify model-form uncertainties in the reduced-order modeling of complex systems using operator inference techniques. Such uncertainties can arise in the selection of an appropriate stat
Externí odkaz:
http://arxiv.org/abs/2409.00220
Autor:
Zhang, Han, Mahabadi, Rayehe Karimi, Rudin, Cynthia, Guilleminot, Johann, Brinson, L. Catherine
This paper studies the utility of techniques within uncertainty quantification, namely spectral projection and polynomial chaos expansion, in reducing sampling needs for characterizing acoustic metamaterial dispersion band responses given stochastic
Externí odkaz:
http://arxiv.org/abs/2310.12869
Autor:
Zhang, Hao, Guilleminot, Johann
Publikováno v:
Comput. Methods Appl. Mech. Eng. 2023
A Riemannian stochastic representation of model uncertainties in molecular dynamics is proposed. The approach relies on a reduced-order model, the projection basis of which is randomized on a subset of the Stiefel manifold characterized by a set of l
Externí odkaz:
http://arxiv.org/abs/2207.13019
Autor:
Zhang, Hao, Guilleminot, Johann
Publikováno v:
In Mechanics Research Communications June 2024 138
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 15 March 2024 422
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 1 February 2024 419
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 5 January 2024 418 Part B
Autor:
Chu, Shanshan, Iliopoulos, Athanasios, Michopoulos, John, Steuben, John, Thomas, James, Guilleminot, Johann
Publikováno v:
In Mechanics of Materials December 2023 187
Akademický článek
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Autor:
Zhang, Hao, Guilleminot, Johann
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 1 January 2023 403 Part A