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

Project Information

DREAM-ON

Grant agreement ID: 101002857

DOI

10.3030/101002857

EC signature date 8 April 2021

Start date 1 June 2021

End date 31 May 2026

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost

€ 1 937 500,00

EU contribution

€ 1 937 500,00

Coordinated by

ECOLE NORMALE SUPERIEURE PARIS-SACLAY
France

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Book chapters (4)

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

Author(s): Chamoin, Ludovic; Baranger, Emmanuel; Benady, Antoine; Charbonnel, Pierre-Étienne; Diaz, Matthieu; Farahbakhsh, Sahar; Fribourg, Laurent; Xavier, Daniel Martin; Poncelet, Martin
Published in: Handbook of Dynamic Data Driven Application Systems, 2025, ISBN 978-3-031-88573-0
Publisher: 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

Author(s): A. BENADY, L. CHAMOIN, E. BARANGER
Published in: La Revue 3EI, Issue 109, 2022, ISSN 1252-770X
Publisher: SEE

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

Author(s): L. CHAMOIN, P. LADEVEZE
Published in: Advances in Applied Mechanics, Error Control, Adaptive Discretizations, and Applications, Part 2, 2025, Page(s) 311-362
Publisher: Elsevier
DOI: 10.1016/bs.aams.2024.08.005

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

Author(s): L. CHAMOIN
Published in: The Project Repository Journal, Issue 10, 2021, Page(s) 124-127
Publisher: EDMA
DOI: 10.54050/prj10124127

Conference proceedings (23)

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

Author(s): S. FARAHBAKHSH, L. CHAMOIN, M. PONCELET
Published in: 9th European Congress on Computational Methods in Applied Sciences and Engineering, 2024
Publisher: ECCOMAS

Structural health monitoring and model updating with distributed optic fiber measurements

Author(s): S. FARAHBAKHSH, M. PONCELET, L. CHAMOIN
Published in: 17th International Conference on Advances in Experimental Mechanics, 2023
Publisher: Univ. Strathclyde

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

Author(s): S. FARAHBAKHSH, L. CHAMOIN, M. PONCELET
Published in: 11th Conference on Adaptive Modeling and Simulation, 2023
Publisher: 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

Author(s): S. FARAHBAKHSH, L. CHAMOIN, M. PONCELET
Published in: 16e Colloque National en Calcul des Structures, 2024
Publisher: CSMA

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

Author(s): A. BENADY, S. FARAHBAKHSH, E. BARANGER, L. CHAMOIN
Published in: 9th European Congress on Computational Methods in Applied Sciences and Engineering, 2024
Publisher: ECCOMAS

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

Author(s): A. BENADY, L. CHAMOIN, E. BARANGER
Published in: 2nd IACM Mechanistic Machine Learning and Digital Engineering for Computational Science Engineering and Technology, 2023
Publisher: IACM

Training and generalization errors for Underparametrized Neural Networks

Author(s): D. MARTIN-XAVIER, L. CHAMOIN, L. FRIBOURG
Published in: American Control Conference, 2024
Publisher: AACC

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

Author(s): A. BENADY, E. BARANGER, L. CHAMOIN
Published in: 6th International Workshop on Model Reduction Techniques, 2023
Publisher: ECCOMAS

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

Author(s): L. CHAMOIN
Published in: 6th International Conference on Multi-scale Computational Methods for Solids and Fluids, 2023, ISBN 978-9958-638-73-2
Publisher: ECCOMAS

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

Author(s): D. MARTIN-XAVIER, L. CHAMOIN, L. FRIBOURG
Published in: 16e Colloque National en Calcul des Structures, 2024
Publisher: CSMA

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

Author(s): A. BENADY, L. CHAMOIN, E. BARANGER
Published in: 2nd International Workshop on Artificial Intelligence and Augmented Engineering, 2022
Publisher: INRIA

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

Author(s): L. CHAMOIN
Published in: Colloque IUF, 2023
Publisher: IUF

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

Author(s): D. MARTIN-XAVIER, L. CHAMOIN, L. FRIBOURG
Published in: 1er Congrès Annuel de la Société Française d'Automatique, de Génie Industriel et de Productique, 2023
Publisher: SAGIP

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

Author(s): A. BENADY, E. BARANGER, L. CHAMOIN
Published in: 11th Conference on Adaptive Modeling and Simulation, 2023
Publisher: 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

Author(s): A. BENADY, E. BARANGER, L. CHAMOIN
Published in: 16e Colloque National en Calcul des Structures, 2024
Publisher: CSMA

Damage tracking using distributed optic fiber sensors in structures

Author(s): S. FARAHBAKHSH, L. CHAMOIN, M. PONCELET
Published in: 25e Congrès Français de Mécanique, 2022
Publisher: AFM

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

Author(s): D. MARTIN-XAVIER, L. CHAMOIN, L. FRIBOURG
Published in: 14e Colloque sur la Modélisation des Systèmes Réactifs, 2023
Publisher: LAAS-CNRS

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

Author(s): A. BENADY, L. CHAMOIN, E. BARANGER
Published in: 25e Congrès Français de Mécanique, 2022
Publisher: AFM

Some recent advances in structural damage tracking and monitoring

Author(s): L. CHAMOIN, S. FARAHBAKHSH, M. DIAZ, M. PONCELET, PE. CHARBONNEL
Published in: 16th World Congress on Computational Mechanics, 2024
Publisher: IACM

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

Author(s): L. CHAMOIN, A. BENADY, S. FARAHBAKHSH, E. BARANGER, M. PONCELET
Published in: 15th World Congress on Computational Mechanics, 2022
Publisher: IACM

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

Author(s): A. BENADY, L. CHAMOIN, E. BARANGER
Published in: Workshop CNRS, l’IA pour les sciences et l’ingénierie, 2022
Publisher: CNRS

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

Author(s): A. BENADY, L. CHAMOIN, E. BARANGER
Published in: IUTAM Symposium on Data-driven mechanics, 2022
Publisher: IUTAM

Adaptive modeling and learning of material laws for effective data assimilation

Author(s): L. CHAMOIN, A. BENADY, S. FARAHBAKHSH, E. BARANGER, M. PONCELET
Published in: 16th World Congress on Computational Mechanics, 2024
Publisher: IACM

Other (5)

Optimization of optic fiber sensor placement for structural health monitoring

Author(s): Z. ZHOU, B. SOULIER, L. CHAMOIN
Published in: 2022
Publisher: 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

Author(s): E. ZEMBRA, A. BENADY, E. BARANGER, L. CHAMOIN
Published in: 2023
Publisher: ENS Paris-Saclay

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

Author(s): A. BENADY, F. LEHMANN, A. PULIKKATHODI, E. BARANGER, L. CHAMOIN, F. GATTI, D. CLOUTEAU
Published in: Journée du GDR I-GAIA, 2023
Publisher: CNRS

OFDR optic fiber measurements: performance limitations

Author(s): S. FARAHBAKHSH, M. PONCELET, L. CHAMOIN
Published in: Colloque National Mecamat, 2024
Publisher: Mecamat

High resolution strain measurement using optic fiber sensors

Author(s): S. FARAHBAKHSH, L. CHAMOIN, M. PONCELET
Published in: Journées des doctorants du LMPS, 2022
Publisher: LMPS, ENS Paris-Saclay

Peer reviewed articles (7)

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

Author(s): C. Jailin, A. Benady, R. Legroux, E. Baranger
Published in: Experimental Mechanics, Issue 64, 2024, Page(s) 1465-1481, ISSN 0014-4851
Publisher: 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

Author(s): L. CHAMOIN, S. FARAHBAKHSH, M. PONCELET
Published in: Measurement Science and Technology, Issue 33:124008, 2022, ISSN 0957-0233
Publisher: Institute of Physics and the Physical Society
DOI: 10.1088/1361-6501/ac9152

Training and generalization errors for Underparametrized Neural Networks

Author(s): D. MARTIN-XAVIER, L. CHAMOIN, L. FRIBOURG
Published in: IEEE Control Systems Letters, Issue 7, 2023, Page(s) 3926-3931, ISSN 2475-1456
Publisher: IEEE
DOI: 10.1109/lcsys.2023.3344139

Data-driven material modeling based on the Constitutive Relation Error

Author(s): Pierre Ladevèze, Ludovic Chamoin
Published in: Advanced Modeling and Simulation in Engineering Sciences, Issue 11, 2024, ISSN 2213-7467
Publisher: 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

Author(s): Hai Nam Nguyen, Ludovic Chamoin
Published in: Computational Mechanics, Issue 76, 2025, Page(s) 251-277, ISSN 0178-7675
Publisher: Springer Verlag
DOI: 10.1007/s00466-025-02598-1

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

Author(s): Antoine Benady, Emmanuel Baranger, Ludovic Chamoin
Published in: Computer Methods in Applied Mechanics and Engineering, Issue 425, 2024, Page(s) 116967, ISSN 0045-7825
Publisher: 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

Author(s): A. BENADY, E. BARANGER, L. CHAMOIN
Published in: International Journal for Numerical Methods in Engineering, 2024, ISSN 0029-5981
Publisher: John Wiley & Sons Inc.
DOI: 10.1002/nme.7439