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Micromechanics-based surrogate models for the response of composites: A critical comparison between a classical mesoscale constitutive model, hyper-reduction and neural networks

I.B.C.M. B C M Rocha , P. Kerfriden , F.P. P van Der Meer
European Journal of Mechanics - A/Solids, 2020, 82, pp.103995. ⟨10.1016/j.euromechsol.2020.103995⟩
Journal articles hal-02539783v1
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Concurrent multiscale analysis without meshing: Microscale representation with CutFEM and micro/macro model blending

E. Mikaeili , Susanne Claus , Pierre Kerfriden
Computer Methods in Applied Mechanics and Engineering, 2022, 393, pp.114807. ⟨10.1016/j.cma.2022.114807⟩
Journal articles hal-04102146v1

A Bayesian multiscale CNN framework to predict local stress fields in structures with microscale features

Vasilis Krokos , Viet Bui Xuan , Stéphane Bordas , Philippe Young , Pierre Kerfriden
Computational Mechanics, 2022, 69 (3), pp.733-766. ⟨10.1007/s00466-021-02112-3⟩
Journal articles hal-03507497v1

GOAL-ORIENTED MODEL ADAPTIVITY IN STOCHASTIC ELASTODYNAMICS: SIMULTANEOUS CONTROL OF DISCRETIZATION, SURROGATE MODEL AND SAMPLING ERRORS

Pierre Kerfriden , S. Claus , I. Mihai , Pedro Bonilla-Villalba , A. Kundu
International Journal for Uncertainty Quantification, 2020, 10 (3), pp.195-223. ⟨10.1615/Int.J.UncertaintyQuantification.2020031735⟩
Journal articles hal-03507515v1
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Real-Time Data Assimilation in Welding Operations Using Thermal Imaging and Accelerated High-Fidelity Digital Twinning

Pablo Pereira Álvarez , Pierre Kerfriden , David Ryckelynck , Vincent Robin
Mathematics , 2021, 9 (18), pp.2263. ⟨10.3390/math9182263⟩
Journal articles hal-03345602v1

Automatised quality assessment in additive layer manufacturing using layer-by-layer surface measurements and deep learning

Léopold Le Roux , Chao Liu , Ze Ji , Pierre Kerfriden , Daniel Gage , et al.
Procedia CIRP, 2021, 99, pp.342-347. ⟨10.1016/j.procir.2021.03.050⟩
Journal articles hal-03507454v1

A probabilistic data assimilation framework to reconstruct finite element error fields from sparse error estimates: Application to sub‐modeling

James Paul Rouse , Pierre Kerfriden , Maxime Hamadi
International Journal for Numerical Methods in Engineering, 2022, 123 (23), pp.5826-5853. ⟨10.1002/nme.7090⟩
Journal articles hal-04023225v1
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A mixed-dimensional CutFEM methodology for the simulation of fibre-reinforced composites

Pierre Kerfriden , Susanne Claus , Iulia Mihai
Advanced Modeling and Simulation in Engineering Sciences, In press, ⟨10.1186/s40323-020-00154-5⟩
Journal articles hal-02529651v2

Machine Learning-enabled feedback loops for metal powder bed fusion additive manufacturing

Chao Liu , Léopold Le Roux , Ze Ji , Pierre Kerfriden , Franck Lacan , et al.
Procedia Computer Science, 2020, 176, pp.2586-2595. ⟨10.1016/j.procs.2020.09.314⟩
Journal articles hal-03507504v1

Adaptive Isogeometric analysis for transient dynamics: Space–time refinement based on hierarchical a-posteriori error estimations

Peng Yu , Stéphane Pierre Alain Bordas , Pierre Kerfriden
Computer Methods in Applied Mechanics and Engineering, 2022, 394, pp.114774. ⟨10.1016/j.cma.2022.114774⟩
Journal articles hal-04023226v1