Ronan Scanff

15
Documents

Publications

Publications

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Accelerating nonlinear finite element analysis via residual-aware neural network constitutive models

Pierre-Eliot Malleval , Victor Matray , Faisal Amlani , Ronan Scanff , Frédéric Feyel et al.

Finite Elements in Analysis and Design, In press, Volume 251, pp.104431. ⟨10.1016/j.finel.2025.104431⟩

Article dans une revue hal-05070128v2
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A new strategy using the Proper Generalized Decomposition to model time evolving spatial domains

Max Beckermann , Ronan Scanff , Massimiliano Cremonesi , Andrea Barbarulo

Computers & Structures, 2025, 316, pp.107860. ⟨10.1016/j.compstruc.2025.107860⟩

Article dans une revue hal-05191185v1
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Advancing industrial finite element software: Developing Model Order Reduction for nonlinear transient thermal problems

Pierre-Eliot Malleval , Ronan Scanff , David Néron

Finite Elements in Analysis and Design, 2025, 244, pp.104299. ⟨10.1016/j.finel.2024.104299⟩

Article dans une revue hal-05248067v1

Weakly-invasive LATIN-PGD for solving time-dependent non-linear parametrized problems in solid mechanics

Ronan Scanff , David Néron , Pierre Ladevèze , Philippe Barabinot , Frédéric Cugnon et al.

Computer Methods in Applied Mechanics and Engineering, 2022, 396, pp.114999. ⟨10.1016/j.cma.2022.114999⟩

Article dans une revue hal-03740898v1
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Weakly-invasive LATIN-PGD for solving time-dependent non-linear parametrized problems in solid mechanics

Ronan Scanff , David Néron , Pierre Ladevèze , Philippe Barabinot , Frédéric Cugnon et al.

Computer Methods in Applied Mechanics and Engineering, 2022, 396, pp.114999. ⟨10.1016/j.cma.2022.114999⟩

Article dans une revue hal-03676386v1

A Study on the LATIN-PGD Method: Analysis of Some Variants in the Light of the Latest Developments

Ronan Scanff , Stéphane Nachar , Pierre-Alain Boucard , David Néron

Archives of Computational Methods in Engineering, 2021, 28 (5), pp.3457-3473. ⟨10.1007/s11831-020-09514-1⟩

Article dans une revue hal-03013258v1

Industrial Digital Twins based on the non-linear LATIN-PGD

Philippe Barabinot , Ronan Scanff , Pierre Ladevèze , David Néron , Bruno Cauville

Advanced Modeling and Simulation in Engineering Sciences, 2021, 8 (1), ⟨10.1186/s40323-021-00207-3⟩

Article dans une revue hal-03401542v1

Industrial Digital Twins based on the non-linear LATIN-PGD

Philippe Barabinot , Ronan Scanff , Pierre Ladevèze , David Néron , Bruno Cauville

Advanced Modeling and Simulation in Engineering Sciences, 2021, 8 (1), pp.22. ⟨10.1186/s40323-021-00207-3⟩

Article dans une revue hal-03835748v1

On a non-intrusive version of the LATIN-PGD method for non-linear transient thermal problems

Pierre-Eliot Malleval , Ronan Scanff , David Néron

6th International Workshop on Model Reduction Techniques MORTech 2023, Nov 2023, Gif Sur Yvette, France

Poster de conférence hal-04332281v1
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Une vision faiblement intrusive de la méthode LATIN-PGD en non-linéaire

Ronan Scanff

Mécanique des solides [physics.class-ph]. Université Paris-Saclay, 2022. Français. ⟨NNT : 2022UPAST023⟩

Thèse tel-04054932v1
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Une version faiblement intrusive de la méthode LATIN-PGD pour la résolution de problèmes non-linéaires paramétrés dans les codes industriels

Ronan Scanff , D Néron , P Ladevèze , P Barabinot

CSMA 2022 - 15ème Colloque National en Calcul des Structures, May 2022, Giens, France

Communication dans un congrès hal-03676392v1
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Reduced-order models for aeronautics based on the LATIN-PGD method within non-linear industrial Simcenter Samcef software

Ronan Scanff , Bruno Cauville , David Néron , Pierre Ladevèze

9th European Conference for Aeronautics and Space Sciences (EUCASS-3AF 2022), Jun 2022, Lille, France. ⟨10.13009/EUCASS2022-7310⟩

Communication dans un congrès hal-03957708v1

On a Non-intrusive version of the LATIN-PGD method suitable with Non-linear Industrial Softwares

Ronan Scanff , David Néron , Pierre Ladevèze , Philippe Barabinot , Frédéric Cugnon et al.

14th World Congress on Computational Mechanics (WCCM XIV) - ECCOMAS Congress 2020, Jan 2021, Paris, France

Communication dans un congrès hal-03105785v1

Non-linear PGD Reduced-order model for industrial finite element software

Ronan Scanff , David Néron , Pierre Ladevèze , Philippe Barabinot , Frédéric Cugnon et al.

Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology (MMLDT-CSET) - IACM Conference, Sep 2021, San Diego, United States

Communication dans un congrès hal-03401598v1
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Sur une vision non intrusive de la méthode LaTIn-PGD en non linéaire

Ronan Scanff , David Néron , Pierre Ladevèze

24e Congrès Français de Mécanique, Aug 2019, Brest, France

Communication dans un congrès hal-02296059v1