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Rudy Geelen
Rudy Geelen
Texas A&M University
Overená e-mailová adresa na: tamu.edu - Domovská stránka
Názov
Citované v
Citované v
Rok
A phase-field formulation for dynamic cohesive fracture
R Geelen, Y Liu, T Hu, M Tupek, J Dolbow
Computer Methods in Applied Mechanics and Engineering 348, 680-711, 2019
2222019
Operator inference for non-intrusive model reduction with quadratic manifolds
R Geelen, S Wright, K Willcox
Computer Methods in Applied Mechanics and Engineering 403, 115717, 2023
116*2023
An optimization‐based phase‐field method for continuous‐discontinuous crack propagation
R Geelen, Y Liu, J Dolbow, A Rodríguez-Ferran
International Journal for Numerical Methods in Engineering 116 (1), 1-20, 2018
662018
An extended/generalized phase–field finite element method for crack growth with global–local enrichment
R Geelen, J Plews, M Tupek, J Dolbow
International Journal for Numerical Methods in Engineering 121 (11), 2534-2557, 2020
462020
Symplectic model reduction of Hamiltonian systems using data-driven quadratic manifolds
H Sharma, H Mu, P Buchfink, R Geelen, S Glas, B Kramer
Computer Methods in Applied Mechanics and Engineering 417, 116402, 2023
272023
Localized non-intrusive reduced-order modeling in the operator inference framework
R Geelen, K Willcox
Proceedings of the Royal Society A, 2022
252022
Learning physics-based reduced-order models from data using nonlinear manifolds
R Geelen, L Balzano, S Wright, K Willcox
Chaos: An Interdisciplinary Journal of Nonlinear Science 34 (3), 116402, 2024
152024
Learning latent representations in high-dimensional state spaces using polynomial manifold constructions
R Geelen, L Balzano, K Willcox
2023 62nd IEEE Conference on Decision and Control (CDC), pp. 4960-4965, 2023
92023
Scale-bridging with the extended/generalized finite element method for linear elastodynamics
R Geelen, J Plews, J Dolbow
Computational Mechanics 68 (2), 295-310, 2021
82021
A data-driven approach to X-ray spectral fitting: quasi-deconvolution
C Rhea, J Hlavacek-Larrondo, R Kraft, A Bogdan, R Geelen
Research Notes of the AAS 5 (5), 113, 2021
72021
Data-driven closures for the dynamic mode decomposition using quadratic manifolds
A Kalur, P Mortimer, J Sirohi, R Geelen, KE Willcox
AIAA AVIATION 2023 Forum, 4352, 2023
52023
Towards Simulations of Pervasive Fracture Across Structural Scales
R Geelen
Duke University, 2020
22020
Learning latent space dynamics with model-form uncertainties: A stochastic reduced-order modeling approach
JY Yong, R Geelen, J Guilleminot
Computer Methods in Applied Mechanics and Engineering 435, 117638, 2025
12025
Data-driven reduced-order models using quadratic manifolds
A Kalur, R Geelen, K Willcox
Bulletin of the American Physical Society 67, 2022
2022
A gradient–enhanced damage model based on smoothed displacements with vanishing length scale
J Amani, R Geelen, B Vandoren, JE Dolbow, A Simone, ...
CFRAC 2019, 12-14 June 2019, Braunschweig, Germany, 2019
2019
Systém momentálne nemôže vykonať operáciu. Skúste to neskôr.
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