يعرض 1 - 20 نتائج من 71 نتيجة بحث عن '"Benady, Antoine"', وقت الاستعلام: 0.54s تنقيح النتائج
  1. 1
    Report
    Training an AI hyperelastic constitutive model with experimental data

    المؤلفون: Jailin, Clément, Benady, Antoine, Baranger, Emmanuel

    مصطلحات موضوعية: Computer Science - Computational Engineering, Finance, and Science

    URL الوصول: http://arxiv.org/abs/2410.16304

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  2. 2
    Report
    Experimental Learning of a Hyperelastic Behavior with a Physics-Augmented Neural Network

    المؤلفون: Jailin, Clément, Benady, Antoine, Legroux, Remi, Baranger, Emmanuel

    مصطلحات موضوعية: Physics - Medical Physics

    URL الوصول: http://arxiv.org/abs/2409.11763

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  3. 3
    Conference
    Apprentissage non-supervisé de lois de comportement non- linéaires avec réseau de neurones thermodynamiquement consistent par minimisation de l'erreur en relation de comportement modifiée

    المؤلفون: Benady, Antoine, Baranger, Emmanuel, Chamoin, Ludovic

    المساهمون: Laboratoire de Mécanique Paris-Saclay (LMPS), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), Institut universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), CNRS, CSMA, ENS Paris-Saclay, CentraleSupélec

    المصدر: 16ème Colloque National en Calcul de Structures (CSMA 2024)
    https://hal.science/hal-04822948
    16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS
    CSMA
    ENS Paris-Saclay
    CentraleSupélec, May 2024, Hyères, France

    مصطلحات موضوعية: Réseaux de neurones augmentés par la physique, Erreur en relation de comportement modifiée, [PHYS]Physics [physics]

    جغرافية الموضوع: Hyères, France

    الاتاحة: https://hal.science/hal-04822948
    https://hal.science/hal-04822948v1/document
    https://hal.science/hal-04822948v1/file/hal-04822948.pdf

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  4. 4
    Academic Journal
    NN-mCRE: a modified Constitutive Relation Error framework for unsupervised learning of nonlinear state laws with physics-augmented Neural Networks

    المؤلفون: Benady, Antoine, Baranger, Emmanuel, Chamoin, Ludovic

    المساهمون: Laboratoire de Mécanique Paris-Saclay (LMPS), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), Institut universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), European Project: 101002857,ERC Consolidator Grant 2020,DREAM-ON(2021)

    المصدر: ISSN: 0029-5981.

    مصطلحات موضوعية: Constitutive relation error, I-GAIA, Constitutive modeling, Physics-informed Neural Network, Unsupervised learning, [SPI.MECA.SOLID]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Solid mechanics [physics.class-ph], [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]

    Relation: info:eu-repo/grantAgreement//101002857/EU/Structural damage: robust, real-time, and data-driven adaptive modelling for online control/DREAM-ON; hal-04102108; https://hal.science/hal-04102108; https://hal.science/hal-04102108v2/document; https://hal.science/hal-04102108v2/file/main_preprint.pdf

    الاتاحة: https://hal.science/hal-04102108
    https://hal.science/hal-04102108v2/document
    https://hal.science/hal-04102108v2/file/main_preprint.pdf
    https://doi.org/10.1002/nme.7439

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  5. 5
    Academic Journal
    Unsupervised learning of history-dependent constitutive material laws with thermodynamically-consistent neural networks in the modified Constitutive Relation Error framework.

    المؤلفون: Benady, Antoine, Baranger, Emmanuel, Chamoin, Ludovic

    المساهمون: Laboratoire de Mécanique Paris-Saclay (LMPS), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), Institut universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), European Project: 101002857,ERC Consolidator Grant 2020,DREAM-ON(2021)

    المصدر: ISSN: 0045-7825 ; Computer Methods in Applied Mechanics and Engineering ; https://hal.science/hal-04368755 ; Computer Methods in Applied Mechanics and Engineering, 2024, 425, pp.116967. ⟨10.1016/j.cma.2024.116967⟩.

    مصطلحات موضوعية: Constitutive modeling, Physics-augmented Neural Network, Unsupervised learning, Constitutive relation error, Evolution laws, Data assimilation, I-GAIA, [PHYS.MECA]Physics [physics]/Mechanics [physics], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

    Relation: info:eu-repo/grantAgreement//101002857/EU/Structural damage: robust, real-time, and data-driven adaptive modelling for online control/DREAM-ON; hal-04368755; https://hal.science/hal-04368755; https://hal.science/hal-04368755/document; https://hal.science/hal-04368755/file/NN-mcre-evolution.pdf

    الاتاحة: https://hal.science/hal-04368755
    https://hal.science/hal-04368755/document
    https://hal.science/hal-04368755/file/NN-mcre-evolution.pdf
    https://doi.org/10.1016/j.cma.2024.116967

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  6. 6
    Report
    Apprentissage non-supervisé de lois de comportement nonlinéaires avec réseau de neurones thermodynamiquement consistent par minimisation de l'erreur en relation de comportement modifiée

    المؤلفون: Benady, Antoine, Baranger, Emmanuel, Chamoin, Ludovic

    المساهمون: Laboratoire de Mécanique Paris-Saclay (LMPS), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), Institut universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), European Project: 101002857,ERC Consolidator Grant 2020,DREAM-ON(2021)

    المصدر: https://hal.science/hal-04361339 ; 2024.

    مصطلحات موضوعية: Erreur en relation de comportement modifiée, Réseaux de neurones augmentés par la physique, [PHYS.MECA]Physics [physics]/Mechanics [physics], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

    Relation: info:eu-repo/grantAgreement//101002857/EU/Structural damage: robust, real-time, and data-driven adaptive modelling for online control/DREAM-ON; hal-04361339; https://hal.science/hal-04361339; https://hal.science/hal-04361339/document; https://hal.science/hal-04361339/file/CSMA_benady.pdf

    الاتاحة: https://hal.science/hal-04361339
    https://hal.science/hal-04361339/document
    https://hal.science/hal-04361339/file/CSMA_benady.pdf

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  7. 7
    Conference
    Scientific machine learning and physics-augmented neural networks for hybrid digital twins

    المؤلفون: Benady, Antoine, Lehmann, Fanny, Pulikkathodi, Afsal, Baranger, Emmanuel, Chamoin, Ludovic, Gatti, Filippo, Clouteau, Didier

    المساهمون: Laboratoire de Mécanique Paris-Saclay (LMPS), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), European Research Council (projet 101002857), European Project: 101002857,ERC Consolidator Grant 2020,DREAM-ON(2021)

    المصدر: Journée du GDR I-GAIA ; https://hal.science/hal-04425617 ; Journée du GDR I-GAIA, 2023, Paris, France

    مصطلحات موضوعية: Artificial Neural Networks, Data-driven mechanics, Global-local coupling, Constitutive laws, Neural operators, [SPI]Engineering Sciences [physics]

    جغرافية الموضوع: Paris, France

    Relation: info:eu-repo/grantAgreement//101002857/EU/Structural damage: robust, real-time, and data-driven adaptive modelling for online control/DREAM-ON; hal-04425617; https://hal.science/hal-04425617; https://hal.science/hal-04425617/document; https://hal.science/hal-04425617/file/poster%20LMPS_IGAIA.pdf

    الاتاحة: https://hal.science/hal-04425617
    https://hal.science/hal-04425617/document
    https://hal.science/hal-04425617/file/poster%20LMPS_IGAIA.pdf

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  8. 8
    Conference
    Physics-augmented neural networks for constitutive modeling: training with the modified Constitutive Relation Error

    المؤلفون: Benady, Antoine, Baranger, Emmanuel, Chamoin, Ludovic

    المساهمون: Laboratoire de Mécanique Paris-Saclay (LMPS), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), Institut Universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), European Project: 101002857,ERC Consolidator Grant 2020,DREAM-ON(2021)

    المصدر: MORTech 2023 – 6th International Workshop on Model Reduction Techniques ; https://hal.science/hal-04361330 ; MORTech 2023 – 6th International Workshop on Model Reduction Techniques, Nov 2023, Gif-sur-Yvette, France

    مصطلحات موضوعية: Modified constitutive relation error, Physics-augmented neural networks, Data assimilation, [PHYS.MECA]Physics [physics]/Mechanics [physics], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

    جغرافية الموضوع: Gif-sur-Yvette, France

    Relation: info:eu-repo/grantAgreement//101002857/EU/Structural damage: robust, real-time, and data-driven adaptive modelling for online control/DREAM-ON; hal-04361330; https://hal.science/hal-04361330; https://hal.science/hal-04361330/document; https://hal.science/hal-04361330/file/poster_MORTECH.pdf

    الاتاحة: https://hal.science/hal-04361330
    https://hal.science/hal-04361330/document
    https://hal.science/hal-04361330/file/poster_MORTECH.pdf

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  9. 9
    Conference
    Physics-informed neural networks derived from a mCRE functional for constitutive modelling

    المؤلفون: Benady, Antoine, Chamoin, Ludovic, Baranger, Emanuel

    المساهمون: Laboratoire de Mécanique Paris-Saclay (LMPS), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay)

    المصدر: Artificial Intelligence and Augmented Engineering ; https://hal.science/hal-03929841 ; Artificial Intelligence and Augmented Engineering, Dec 2022, Palaiseau, France

    مصطلحات موضوعية: [SPI.MECA.MSMECA]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Materials and structures in mechanics [physics.class-ph]

    جغرافية الموضوع: Palaiseau, France

    Relation: hal-03929841; https://hal.science/hal-03929841; https://hal.science/hal-03929841/document; https://hal.science/hal-03929841/file/Abstract_AIAE.pdf

    الاتاحة: https://hal.science/hal-03929841
    https://hal.science/hal-03929841/document
    https://hal.science/hal-03929841/file/Abstract_AIAE.pdf

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  10. 10
    Conference
    Réseaux de neurones informés par la physique pour l’apprentissage de lois de comportement

    المؤلفون: Benady, Antoine, Chamoin, Ludovic, Baranger, Emmanuel

    المساهمون: Laboratoire de Mécanique Paris-Saclay (LMPS), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), European Project: 101002857,ERC Consolidator Grant 2020,DREAM-ON(2021)

    المصدر: IA POUR LES SCIENCES DE L'INGÉNIERIE ; https://hal.science/hal-03929866 ; IA POUR LES SCIENCES DE L'INGÉNIERIE, Jun 2022, Online, France

    مصطلحات موضوعية: [SPI.MECA.STRU]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Structural mechanics [physics.class-ph]

    جغرافية الموضوع: Online, France

    Relation: info:eu-repo/grantAgreement//101002857/EU/Structural damage: robust, real-time, and data-driven adaptive modelling for online control/DREAM-ON; hal-03929866; https://hal.science/hal-03929866; https://hal.science/hal-03929866/document; https://hal.science/hal-03929866/file/Abstract_IA_CNRS.pdf

    الاتاحة: https://hal.science/hal-03929866
    https://hal.science/hal-03929866/document
    https://hal.science/hal-03929866/file/Abstract_IA_CNRS.pdf

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  11. 11
    Report
    Use of physics-augmented neural networks for unsupervised learning of material constitutive relations - Comparison of the NN-Euclid and NN-mCRE methods

    المؤلفون: Zembra, Edgar, Benady, Antoine, Baranger, Emmanuel, Chamoin, Ludovic

    المساهمون: Laboratoire de Mécanique Paris-Saclay (LMPS), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), ENS Paris-Saclay, Centrale Supélec, European Project: 101002857,ERC Consolidator Grant 2020,DREAM-ON(2021)

    المصدر: https://hal.science/hal-04255767 ; ENS Paris-Saclay; Centrale Supélec. 2023.

    مصطلحات موضوعية: I-GAIA, [SPI]Engineering Sciences [physics]

    Relation: info:eu-repo/grantAgreement//101002857/EU/Structural damage: robust, real-time, and data-driven adaptive modelling for online control/DREAM-ON; hal-04255767; https://hal.science/hal-04255767; https://hal.science/hal-04255767/document; https://hal.science/hal-04255767/file/Rapport_Stage_ZEMBRA_Edgar.pdf

    الاتاحة: https://hal.science/hal-04255767
    https://hal.science/hal-04255767/document
    https://hal.science/hal-04255767/file/Rapport_Stage_ZEMBRA_Edgar.pdf

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  12. 12
    Report
    A novel DDDAS architecture combining advanced sensing and simulation technologies for effective real-time structural health monitoring

    المؤلفون: Chamoin, Ludovic, Baranger, Emmanuel, Benady, Antoine, Charbonnel, Pierre-Étienne, Diaz, Matthieu, Farahbakhsh, Sahar, Fribourg, Laurent, Xavier, Daniel Martin, Poncelet, Martin

    المساهمون: Laboratoire de Mécanique Paris-Saclay (LMPS), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), Laboratoire de mécanique et technologie (LMT), Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), European Project: 101002857,ERC Consolidator Grant 2020,DREAM-ON(2021)

    المصدر: https://hal.science/hal-04425882 ; 2023.

    مصطلحات موضوعية: Structural Health Monitoring, Data Assimilation, Constitutive Relation Error, Model Predictive Control, Physics-Augmented Machine Learning, Real-time Applications, Dynamical Systems, DDDAS-based Digital Twin, Dynamic Digital Twin, Virtual Twin, [SPI]Engineering Sciences [physics]

    Relation: info:eu-repo/grantAgreement//101002857/EU/Structural damage: robust, real-time, and data-driven adaptive modelling for online control/DREAM-ON; hal-04425882; https://hal.science/hal-04425882; https://hal.science/hal-04425882/document; https://hal.science/hal-04425882/file/Chapter_Chamoin_VF2.pdf

    الاتاحة: https://hal.science/hal-04425882
    https://hal.science/hal-04425882/document
    https://hal.science/hal-04425882/file/Chapter_Chamoin_VF2.pdf

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  13. 13
    Report
    NN-mCRE: a modified Constitutive Relation Error framework for unsupervised learning of nonlinear state laws with physics-augmented Neural Networks

    المؤلفون: Benady, Antoine, Baranger, Emmanuel, Chamoin, Ludovic

    المساهمون: Laboratoire de Mécanique Paris-Saclay (LMPS), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), Institut Universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), European Project: 101002857,ERC Consolidator Grant 2020,DREAM-ON(2021)

    المصدر: https://hal.science/hal-04102108 ; 2023.

    مصطلحات موضوعية: Constitutive modeling, Physics-informed Neural Network, Unsupervised learning, Constitutive relation error, I-GAIA, [SPI.MECA.SOLID]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Solid mechanics [physics.class-ph], [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]

    Relation: info:eu-repo/grantAgreement//101002857/EU/Structural damage: robust, real-time, and data-driven adaptive modelling for online control/DREAM-ON; hal-04102108; https://hal.science/hal-04102108; https://hal.science/hal-04102108/document; https://hal.science/hal-04102108/file/main.pdf

    الاتاحة: https://hal.science/hal-04102108
    https://hal.science/hal-04102108/document
    https://hal.science/hal-04102108/file/main.pdf

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  14. 14
    Conference
    Physics-Augmented Neural Networks for Constitutive Modeling: Toward an Application for Structural Health Monitoring

    المؤلفون: Benady, Antoine, Baranger, Emmanuel, Chamoin, Ludovic

    المساهمون: Laboratoire de Mécanique Paris-Saclay (LMPS), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), Institut universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), ECCOMAS Congress 2024, European Project: 101002857,ERC Consolidator Grant 2020,DREAM-ON(2021)

    المصدر: The 9th European Congress on Computational Methods in Applied Sciences and Engineering ; https://hal.science/hal-04361347 ; The 9th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS Congress 2024, Jun 2024, Lisbon, France

    مصطلحات موضوعية: modified Constitutive Relation Error (mCRE), Neural Networks, Kalman Filter, Generalized Standard Material, Thermodynamics-consistency, [PHYS.MECA]Physics [physics]/Mechanics [physics], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

    جغرافية الموضوع: Lisbon, France

    Relation: info:eu-repo/grantAgreement//101002857/EU/Structural damage: robust, real-time, and data-driven adaptive modelling for online control/DREAM-ON; hal-04361347; https://hal.science/hal-04361347

    الاتاحة: https://hal.science/hal-04361347

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  15. 15
    Conference
    Adaptive modeling and learning of material laws for effective data assimilation

    المؤلفون: Chamoin, Ludovic, Benady, Antoine, Farahbakhsh, Sahar, Baranger, Emmanuel, Poncelet, Martin

    المساهمون: Laboratoire de Mécanique Paris-Saclay (LMPS), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), Laboratoire de mécanique et technologie (LMT), Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), European Project: 101002857,ERC Consolidator Grant 2020,DREAM-ON(2021)

    المصدر: 16th World Congress on Computational Mechanics
    https://hal.science/hal-04424741
    16th World Congress on Computational Mechanics, Jul 2024, Vancouver, Canada

    مصطلحات موضوعية: [SPI]Engineering Sciences [physics]

    جغرافية الموضوع: Vancouver

    Time: Vancouver, Canada

    Relation: info:eu-repo/grantAgreement//101002857/EU/Structural damage: robust, real-time, and data-driven adaptive modelling for online control/DREAM-ON; hal-04424741; https://hal.science/hal-04424741

    الاتاحة: https://hal.science/hal-04424741

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  16. 16
    Conference
    Use of the modified constitutive relation error to learn constitutive relations

    المؤلفون: Baranger, Emmanuel, Benady, Antoine, Chamoin, Ludovic

    المساهمون: Laboratoire de Mécanique Paris-Saclay (LMPS), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), European Project: 101002857,ERC Consolidator Grant 2020,DREAM-ON(2021)

    المصدر: 21st European Conference on Composite Materials
    https://hal.science/hal-04654555
    21st European Conference on Composite Materials, 2024, Nantes, France

    مصطلحات موضوعية: [SPI]Engineering Sciences [physics]

    جغرافية الموضوع: Nantes, France

    Relation: info:eu-repo/grantAgreement//101002857/EU/Structural damage: robust, real-time, and data-driven adaptive modelling for online control/DREAM-ON; hal-04654555; https://hal.science/hal-04654555

    الاتاحة: https://hal.science/hal-04654555

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  17. 17
    Dissertation/ Thesis
    Physics-augmented neural networks for constitutive modeling ; Réseaux de neurones augmentés par la physique pour l'apprentissage de lois de comportement

    المؤلفون: Benady, Antoine

    المساهمون: Laboratoire de Mécanique Paris-Saclay (LMPS), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), Université Paris-Saclay, Ludovic Chamoin, Emmanuel Baranger

    المصدر: https://theses.hal.science/tel-04887187 ; Solid mechanics [physics.class-ph]. Université Paris-Saclay, 2024. English. ⟨NNT : 2024UPAST089⟩.

    مصطلحات موضوعية: Physics-Augmented neural networks, Nonlinear constitutive law, Thermodynamics, Modified Constitutive Relation Error, Kalman Filter, Réseau de neurones augmentés par la physique, Loi de comportement non linéaire, Thermodynamique, Erreur en Relation de Comportement modifiée, Filtre de Kalman, [PHYS.MECA.SOLID]Physics [physics]/Mechanics [physics]/Solid mechanics [physics.class-ph], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

    Relation: NNT: 2024UPAST089

    الاتاحة: https://theses.hal.science/tel-04887187
    https://theses.hal.science/tel-04887187v1/document
    https://theses.hal.science/tel-04887187v1/file/137708_BENADY_2024_archivage.pdf

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  18. 18
    Conference
    A modified Constitutive Relation Error framework to learn nonlinear constitutive laws using physics-augmented Neural Networks

    المؤلفون: Benady, Antoine, Chamoin, Ludovic, Baranger, Emmanuel

    المساهمون: Laboratoire de Mécanique Paris-Saclay (LMPS), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), European Project: 101002857,ERC Consolidator Grant 2020,DREAM-ON(2021)

    المصدر: IACM Mechanistic Machine Learning and Digital Engineering for Computational Science Engineering and Technology. ; https://hal.science/hal-04205263 ; IACM Mechanistic Machine Learning and Digital Engineering for Computational Science Engineering and Technology., Sep 2023, El Paso, United States

    مصطلحات موضوعية: [SPI]Engineering Sciences [physics]

    جغرافية الموضوع: El Paso, United States

    Relation: info:eu-repo/grantAgreement//101002857/EU/Structural damage: robust, real-time, and data-driven adaptive modelling for online control/DREAM-ON; hal-04205263; https://hal.science/hal-04205263

    الاتاحة: https://hal.science/hal-04205263

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  19. 19
    Conference
    A modified Constitutive Relation Error (mCRE) framework to learn nonlinear constitutive models from strain measurements with thermodynamics-consistent Neural Networks

    المؤلفون: Benady, Antoine, Baranger, Emmanuel, Chamoin, Ludovic

    المساهمون: Laboratoire de Mécanique Paris-Saclay (LMPS), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), European Project: 101002857,ERC Consolidator Grant 2020,DREAM-ON(2021)

    المصدر: XI Conference on Adaptive Modeling and Simulation ; https://hal.science/hal-04205273 ; XI Conference on Adaptive Modeling and Simulation, Jun 2023, Gothenburg, France

    مصطلحات موضوعية: [SPI]Engineering Sciences [physics]

    جغرافية الموضوع: Gothenburg, France

    Relation: info:eu-repo/grantAgreement//101002857/EU/Structural damage: robust, real-time, and data-driven adaptive modelling for online control/DREAM-ON; hal-04205273; https://hal.science/hal-04205273

    الاتاحة: https://hal.science/hal-04205273

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  20. 20
    Conference
    Data-based Model Updating, Selection, and Enrichment using the Modified Constitutive Relation Error Concept

    المؤلفون: Chamoin, Ludovic, Benady, Antoine, Farahbakhsh, Sahar, Baranger, Emmanuel, Poncelet, Martin

    المساهمون: Laboratoire de mécanique et technologie (LMT), Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), European Project: 101002857,ERC Consolidator Grant 2020,DREAM-ON(2021)

    المصدر: 15th World Congress on Computational Mechanics
    https://hal.science/hal-04000251
    15th World Congress on Computational Mechanics, Jul 2022, Yokohama, Japan

    مصطلحات موضوعية: I-GAIA, [SPI]Engineering Sciences [physics]

    جغرافية الموضوع: Yokohama, Japan

    Relation: info:eu-repo/grantAgreement//101002857/EU/Structural damage: robust, real-time, and data-driven adaptive modelling for online control/DREAM-ON; hal-04000251; https://hal.science/hal-04000251

    الاتاحة: https://hal.science/hal-04000251

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