Structural damage: robust, real-time, and data-driven adaptive modeling for online control

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

Autores: Chamoin, Ludovic; Baranger, Emmanuel; Benady, Antoine; Charbonnel, Pierre-Étienne; Diaz, Matthieu; Farahbakhsh, Sahar; Fribourg, Laurent; Xavier, Daniel Martin; Poncelet, Martin
Publicado en: Handbook of Dynamic Data Driven Application Systems, 2025, ISBN 978-3-031-88573-0
Editor: Springer Cham

Intégrer les connaissances physiques dans les réseaux de neurones: application à l'apprentissage des lois de comportement matériaux à partir de mesures de déformation par fibres optiques

Autores: A. BENADY, L. CHAMOIN, E. BARANGER
Publicado en: La Revue 3EI, Edición 109, 2022, ISSN 1252-770X
Editor: SEE

Data Assimilation and Integration Into Computational Mechanics Models

Autores: Ludovic Chamoin
Publicado en: SEMA SIMAI Springer Series, Mathematical and Computational Modelling Across the Scales, 2025, Página(s) 39-76
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-84897-1_2

Contrôle en temps reel de l'évolution de l'endommagement dans les structures mécaniques à partir de techniques avancées de mesure et de simulation

Autores: L. CHAMOIN
Publicado en: Evolution(s): Science, art et littérature, 2025, ISBN 978-2-37361-492-3
Editor: Editions Matériologiques

Model verification, updating, and selection from the constitutive relation error concept

Autores: L. CHAMOIN, P. LADEVEZE
Publicado en: Advances in Applied Mechanics, Error Control, Adaptive Discretizations, and Applications, Part 2, 2025, Página(s) 311-362
Editor: Elsevier
DOI: 10.1016/bs.aams.2024.08.005

DREAM-ON: merging advanced sensing techniques and simulation tools for future structural health monitoring technologies

Autores: L. CHAMOIN
Publicado en: The Project Repository Journal, Edición 10, 2021, Página(s) 124-127
Editor: EDMA
DOI: 10.54050/prj10124127

A modified dual Kalman filter for damage detection using distributed optic fiber measurements

Autores: S. FARAHBAKHSH, L. CHAMOIN, M. PONCELET
Publicado en: 9th European Congress on Computational Methods in Applied Sciences and Engineering, 2024
Editor: ECCOMAS

Structural health monitoring and model updating with distributed optic fiber measurements

Autores: S. FARAHBAKHSH, M. PONCELET, L. CHAMOIN
Publicado en: 17th International Conference on Advances in Experimental Mechanics, 2023
Editor: Univ. Strathclyde

Model updating with a Modified Dual Kalman Filter acting on distributed strain measurements

Autores: S. FARAHBAKHSH, L. CHAMOIN, M. PONCELET
Publicado en: 11th Conference on Adaptive Modeling and Simulation, 2023
Editor: ECCOMAS
DOI: 10.23967/admos.2023.021

Identification et suivi de l'endommagement structural à l'aide de mesures expérimentales et d'une approche par filtre de Kalman modifié

Autores: S. FARAHBAKHSH, L. CHAMOIN, M. PONCELET
Publicado en: 16e Colloque National en Calcul des Structures, 2024
Editor: CSMA

Integrated structural health monitoring with real-time data assimilation and hybrid twins

Autores: L. CHAMOIN
Publicado en: International Symposium Mathematical and applied aspects of complexity reduction methods (Collège de France), 2026
Editor: Collège de France

Integrated Structural Health Monitoring with real-time data assimilation and hybrid twins of dynamical systems

Autores: L. CHAMOIN
Publicado en: 10th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, 2025
Editor: ECCOMAS

Validation criteria for data-driven models of history-dependent materials

Autores: L. CHAMOIN, P. LADEVEZE
Publicado en: 17th World Congress on Computational Mechanics (WCCM 2026), 2026
Editor: IACM

Effective numerical strategies for in situ damage monitoring on engineering structures

Autores: L. CHAMOIN
Publicado en: Rencontres Franciliennes de Mécanique, 2024
Editor: Federation Francilienne de Mécanique

Data-driven modeling based on the Constitutive Relation Error for history-dependent materials

Autores: P. LADEVEZE, L. CHAMOIN
Publicado en: Digital Twins in Engineering (DTE) & Artificial Intelligence and Computational Methods in Applied Science (AICOMAS), 2025
Editor: ECCOMAS

Adaptive damage model identification in sequential data assimilation with distributed optic fiber sensing

Autores: L. CHAMOIN, S. FARAHBAKHSH, M. PONCELET
Publicado en: 12th International Conference on Adaptive Modeling and Simulation, 2025
Editor: ECCOMAS

Physics-augmented neural networks for constitutive modeling: toward an application for structural health monitoring

Autores: A. BENADY, S. FARAHBAKHSH, E. BARANGER, L. CHAMOIN
Publicado en: 9th European Congress on Computational Methods in Applied Sciences and Engineering, 2024
Editor: ECCOMAS

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

Autores: A. BENADY, L. CHAMOIN, E. BARANGER
Publicado en: 2nd IACM Mechanistic Machine Learning and Digital Engineering for Computational Science Engineering and Technology, 2023
Editor: IACM

Training and generalization errors for Underparametrized Neural Networks

Autores: D. MARTIN-XAVIER, L. CHAMOIN, L. FRIBOURG
Publicado en: American Control Conference, 2024
Editor: AACC

Physics-augmented neural networks for constitutive modeling: training with the modified constitutive relation error

Autores: A. BENADY, E. BARANGER, L. CHAMOIN
Publicado en: 6th International Workshop on Model Reduction Techniques, 2023
Editor: ECCOMAS

Techniques d'intelligence artificielle au service de l'ingénierie: réduction de modèles complexes par Machine Learning

Autores: L. CHAMOIN
Publicado en: Journée Scientifique Dassault Aviation, 2024
Editor: Dassault Aviation

Nonlinear parametric identification using model reduction-based mCRE and MDKF

Autores: M. BHATTACHARYYA, L. CHAMOIN
Publicado en: 17e Colloque National en Calcul des Structure (CSMA), 2026
Editor: CSMA

In situ structural damage tracking and monitoring from advanced sensing techniques and hybrid twins

Autores: L. CHAMOIN
Publicado en: 6th International Conference on Multi-scale Computational Methods for Solids and Fluids, 2023, ISBN 978-9958-638-73-2
Editor: ECCOMAS

Data-driven MPC for real-time control of an open-die forging problem

Autores: D. MARTIN XAVIER, L. CHAMOIN, L. FRIBOURG
Publicado en: European Control Conference (ECC 2025), 2025
Editor: European Control Association (EUCA)

Commande garantie pour le contrôle et la prévention de l'endommagement des structures

Autores: D. MARTIN-XAVIER, L. CHAMOIN, L. FRIBOURG
Publicado en: 16e Colloque National en Calcul des Structures, 2024
Editor: CSMA

Physics-informed neural networks derived from a mCRE functional for constitutive modeling

Autores: A. BENADY, L. CHAMOIN, E. BARANGER
Publicado en: 2nd International Workshop on Artificial Intelligence and Augmented Engineering, 2022
Editor: INRIA

Approximation and definition of state variables for a comprehensive description of damage for ceramic matrix composites

Autores: E. BARANGER
Publicado en: 48th International Conference and Expo on Advanced Ceramics and Composites, 2024
Editor: American Ceramic Society

Real-time monitoring of evolutive structural damage from advanced sensing and simulation

Autores: L. CHAMOIN
Publicado en: Colloque IUF, 2023
Editor: IUF

Contrôle en ligne garantissant la sûreté de fonctionnement de structures en mode dégradé

Autores: D. MARTIN-XAVIER, L. CHAMOIN, L. FRIBOURG
Publicado en: 1er Congrès Annuel de la Société Française d'Automatique, de Génie Industriel et de Productique, 2023
Editor: SAGIP

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

Autores: A. BENADY, E. BARANGER, L. CHAMOIN
Publicado en: 11th Conference on Adaptive Modeling and Simulation, 2023
Editor: ECCOMAS
DOI: 10.23967/admos.2023.020

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

Autores: A. BENADY, E. BARANGER, L. CHAMOIN
Publicado en: 16e Colloque National en Calcul des Structures, 2024
Editor: CSMA

Damage tracking using distributed optic fiber sensors in structures

Autores: S. FARAHBAKHSH, L. CHAMOIN, M. PONCELET
Publicado en: 25e Congrès Français de Mécanique, 2022
Editor: AFM

A PGD-based reduced order approximation for nonlinear parametric identification using the modified constitutive relation error method and modified Kalman filtering

Autores: M. BHATTACHARYYA, L. CHAMOIN
Publicado en: 12th International Conference on Adaptive Modeling and Simulation, 2025
Editor: ECCOMAS

Model parameter identification and damage detection using a modified dual Kalman filter with optical fiber sensor data

Autores: S. FARAHBAKHSH, L. CHAMOIN, M. PONCELET
Publicado en: Digital Twins in Engineering (DTE) & Artificial Intelligence and Computational Methods in Applied Science (AICOMAS), 2025
Editor: ECCOMAS

Unsupervised identification of constitutive laws using neural networks in a thermodynamically consistent framework guided by the CRE and mCRE methods

Autores: N. KLEBI, L. CHAMOIN
Publicado en: 18th Internation Conference on Computational Plasticity (COMPLAS 2025), 2025
Editor: ECCOMAS

Integrated structural health monitoring with real-time data assimilation and hybrid twins of dynamical systems

Autores: L. CHAMOIN
Publicado en: Seminar of IMB, 2026
Editor: IMB

An analysis of tube radius under approximate model prediction control

Autores: S. MAHALINGAM, L. CHAMOIN
Publicado en: 17th World Congress on Computational Mechanics (WCCM 2026), 2026
Editor: IACM

Data-driven MPC applied to nonlinear systems for real-time applications

Autores: D. MARTIN-XAVIER, L. CHAMOIN, L. FRIBOURG
Publicado en: 14e Colloque sur la Modélisation des Systèmes Réactifs, 2023
Editor: LAAS-CNRS

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

Autores: A. BENADY, L. CHAMOIN, E. BARANGER
Publicado en: 25e Congrès Français de Mécanique, 2022
Editor: AFM

Identification non supervisée de lois de comportement non-linéaire par réseaux de neurons dans un cadre thermodynamiquement coherent, guide par la méthode mCRE

Autores: N. KLEBI, L. CHAMOIN
Publicado en: 17e Colloque National en Calcul des Structure (CSMA), 2026
Editor: CSMA

Early stopping strategy using neural tangent kernel theory and Rademacher complexity

Autores: D. MARTIN XAVIER, L. CHAMOIN, L. FRIBOURG
Publicado en: American Control Conference (ACC 2025), 2025
Editor: American Automatic Control Council (AACC)

Some recent advances in structural damage tracking and monitoring

Autores: L. CHAMOIN, S. FARAHBAKHSH, M. DIAZ, M. PONCELET, PE. CHARBONNEL
Publicado en: 16th World Congress on Computational Mechanics, 2024
Editor: IACM

Data-based model updating, selection, and enrichment using the modified constitutive relation error concept

Autores: L. CHAMOIN, A. BENADY, S. FARAHBAKHSH, E. BARANGER, M. PONCELET
Publicado en: 15th World Congress on Computational Mechanics, 2022
Editor: IACM

Data assimilation from hybrid twins for the practical real-time monitoring of complex engineering systems

Autores: L. CHAMOIN
Publicado en: Digital Twins in Engineering (DTE) & Artificial Intelligence and Computational Methods in Applied Science (AICOMAS), 2025
Editor: ECCOMAS

An analysis of tube radius under approximate model prediction control

Autores: S. MAHALINGAM, L. CHAMOIN
Publicado en: 17e Colloque National en Calcul des Structure (CSMA), 2026
Editor: CSMA

Contrôle santé intégré des structures basée sur l’assimilation de données en temps réel et les jumeaux numériques

Autores: L. CHAMOIN
Publicado en: Seminar of EDF, 2026
Editor: EDF

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

Autores: A. BENADY, L. CHAMOIN, E. BARANGER
Publicado en: Workshop CNRS, l’IA pour les sciences et l’ingénierie, 2022
Editor: CNRS

Use of the modified constitutive relation error to learn constitutive relations

Autores: E. BARANGER, A. BENADY, L. CHAMOIN
Publicado en: 21st European Conference on Composite Materials, 2024
Editor: AMAC
DOI: 10.60691/yj56-np80

Unsupervised learning of constitutive model with neural networks and sparse identification of internal variables

Autores: A. BENADY, E. BARANGER, C. JAILIN, L. CHAMOIN
Publicado en: Digital Twins in Engineering (DTE) & Artificial Intelligence and Computational Methods in Applied Science (AICOMAS), 2025
Editor: ECCOMAS

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

Autores: A. BENADY, L. CHAMOIN, E. BARANGER
Publicado en: IUTAM Symposium on Data-driven mechanics, 2022
Editor: IUTAM

Adaptive modeling and learning of material laws for effective data assimilation

Autores: L. CHAMOIN, A. BENADY, S. FARAHBAKHSH, E. BARANGER, M. PONCELET
Publicado en: 16th World Congress on Computational Mechanics, 2024
Editor: IACM

Parsimonious identification of a viscoelastic model using the mCRE framework and Lasso regularization

Autores: N. KLEBI, L. CHAMOIN
Publicado en: 11th International Conference on Inverse Problems, Control and Shape Optimization (PICOF 2025), 2025
Editor: LAMSIN

Unsupervised identification of constitutive laws using neural networks in a thermodynamically consistent framework guided by the CRE and mCRE methods

Autores: N. KLEBI, L. CHAMOIN
Publicado en: 11th GACM Colloquium on Computational Mechanics, 2025
Editor: GACM

Data-driven MPC for real-time control of nonlinear systems

Autores: D. MARTIN XAVIER, L. CHAMOIN, L. FRIBOURG
Publicado en: Digital Twins in Engineering (DTE) & Artificial Intelligence and Computational Methods in Applied Science (AICOMAS), 2025
Editor: ECCOMAS

Structural damage: robust, real-time, and data-driven modelling for online control

Autores: L. CHAMOIN
Publicado en: MORPHO Final Conference, 2025
Editor: ENSAM

Effective reduced-order approximation for fast and robust MCRE-based parametric identification of nonlinear history-dependent material laws

Autores: Mainak Bhattacharyya, Ludovic Chamoin
Publicado en: Computational Mechanics, Edición 78, 2026, Página(s) 213-238, ISSN 0178-7675
Editor: Springer Verlag
DOI: 10.1007/s00466-026-02754-1

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

Autores: C. Jailin, A. Benady, R. Legroux, E. Baranger
Publicado en: Experimental Mechanics, Edición 64, 2024, Página(s) 1465-1481, ISSN 0014-4851
Editor: Sage Science Press
DOI: 10.1007/s11340-024-01106-5

An educational review on distributed optic fiber sensing based on Rayleigh backscattering for damage tracking and structural health monitoring

Autores: L. CHAMOIN, S. FARAHBAKHSH, M. PONCELET
Publicado en: Measurement Science and Technology, Edición 33:124008, 2022, ISSN 0957-0233
Editor: Institute of Physics and the Physical Society
DOI: 10.1088/1361-6501/ac9152

Noise-bias compensation for the unsupervised learning of constitutive laws

Autores: Clément Jailin, Stéphane Roux, Antoine Benady, Emmanuel Baranger
Publicado en: Comptes Rendus. Mécanique, Edición 354, 2026, Página(s) 1-24, ISSN 1631-0721
Editor: Elsevier Masson
DOI: 10.5802/crmeca.342

MPC surrogates based on supervised or unsupervised learning for the real-time control of nonlinear systems

Autores: Daniel Martin Xavier, Ludovic Chamoin, Laurent Fribourg
Publicado en: IFAC Journal of Systems and Control, Edición 36, 2026, Página(s) 100409, ISSN 2468-6018
Editor: Elsevier BV
DOI: 10.1016/j.ifacsc.2026.100409

Optimal placement of distributed optic fiber sensors with the modified Constitutive Relation Error

Autores: José Andrés Pérez Orozco, Ludovic Chamoin, Julien Cortial, Maya de Buhan, Bruno Soulier
Publicado en: Mechanical Systems and Signal Processing, Edición 238, 2025, Página(s) 113206, ISSN 0888-3270
Editor: Academic Press
DOI: 10.1016/j.ymssp.2025.113206

Training and generalization errors for Underparametrized Neural Networks

Autores: D. MARTIN-XAVIER, L. CHAMOIN, L. FRIBOURG
Publicado en: IEEE Control Systems Letters, Edición 7, 2023, Página(s) 3926-3931, ISSN 2475-1456
Editor: IEEE
DOI: 10.1109/lcsys.2023.3344139

Data-driven material modeling based on the Constitutive Relation Error

Autores: Pierre Ladevèze, Ludovic Chamoin
Publicado en: Advanced Modeling and Simulation in Engineering Sciences, Edición 11, 2024, ISSN 2213-7467
Editor: Springer Science and Business Media LLC
DOI: 10.1186/s40323-024-00279-x

Model and mesh selection from a mCRE functional in the context of parameter identification with full-field measurements

Autores: Hai Nam Nguyen, Ludovic Chamoin
Publicado en: Computational Mechanics, Edición 76, 2025, Página(s) 251-277, ISSN 0178-7675
Editor: Springer Verlag
DOI: 10.1007/s00466-025-02598-1

Investigation of Distributed Optic Fiber Sensors Data Loss Due to Strain Gradient

Autores: S. Farahbakhsh, M. Poncelet, L. Chamoin
Publicado en: Experimental Techniques, 2025, ISSN 0732-8818
Editor: Society for Experimental Mechanics
DOI: 10.1007/s40799-025-00847-9

Continuous structural health monitoring with a modified dual Kalman filter applied with optical fiber sensing data

Autores: S. Farahbakhsh, L. Chamoin, M. Poncelet
Publicado en: Computers & Structures, Edición 329, 2026, Página(s) 108284, ISSN 0045-7949
Editor: Pergamon Press Ltd.
DOI: 10.1016/j.compstruc.2026.108284

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

Autores: Antoine Benady, Emmanuel Baranger, Ludovic Chamoin
Publicado en: Computer Methods in Applied Mechanics and Engineering, Edición 425, 2024, Página(s) 116967, ISSN 0045-7825
Editor: Elsevier BV
DOI: 10.1016/j.cma.2024.116967

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

Autores: A. BENADY, E. BARANGER, L. CHAMOIN
Publicado en: International Journal for Numerical Methods in Engineering, 2024, ISSN 0029-5981
Editor: John Wiley & Sons Inc.
DOI: 10.1002/nme.7439

From data to reality: Criteria for the validation of data-driven models for history-dependent materials

Autores: Pierre Ladevèze, Ludovic Chamoin
Publicado en: European Journal of Mechanics - A/Solids, Edición 118, 2026, Página(s) 106095, ISSN 0997-7538
Editor: Elsevier BV
DOI: 10.1016/j.euromechsol.2026.106095

Optimization of optic fiber sensor placement for structural health monitoring

Autores: Z. ZHOU, B. SOULIER, L. CHAMOIN
Publicado en: 2022
Editor: ENS Paris-Saclay

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

Autores: E. ZEMBRA, A. BENADY, E. BARANGER, L. CHAMOIN
Publicado en: 2023
Editor: ENS Paris-Saclay

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

Autores: A. BENADY, F. LEHMANN, A. PULIKKATHODI, E. BARANGER, L. CHAMOIN, F. GATTI, D. CLOUTEAU
Publicado en: Journée du GDR I-GAIA, 2023
Editor: CNRS

OFDR optic fiber measurements: performance limitations

Autores: S. FARAHBAKHSH, M. PONCELET, L. CHAMOIN
Publicado en: Colloque National Mecamat, 2024
Editor: Mecamat

High resolution strain measurement using optic fiber sensors

Autores: S. FARAHBAKHSH, L. CHAMOIN, M. PONCELET
Publicado en: Journées des doctorants du LMPS, 2022
Editor: LMPS, ENS Paris-Saclay

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Structural damage: robust, real-time, and data-driven adaptive modeling for online control

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