European training Network in intelligent prognostics and Health mAnagement in Composite structurEs

Informations projet

ENHAnCE

N° de convention de subvention: 859957

DOI

10.3030/859957

Projet clôturé

Date de signature de la CE 9 Août 2019

Date de début 1 Janvier 2020

Date de fin 30 Juin 2024

Financé au titre de

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coût total

€ 2 670 089,76

Contribution de l’UE

€ 2 670 089,76

Coordonné par

UNIVERSIDAD DE GRANADA
Spain

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (17)

Supervisory Board of the network

Report of the kickoff meeting and supervisory board constitution of the network

Report on international press releases and TV documentary
Training overview and monitoring methodology

Report on training overview and monitoring methodology of the project

Lecture synthesis of TWs 1 to 6
End of Year 2 Summary Report & Perspective

End of Year 2 Summary Report Perspective

Papers submitted to top journals and popular websites

Report about papers submitted to top journals and popular websites

Potential inputs for policy feedback

Report on potential inputs for policy feedback (if applicable)

Progress Report

End of Year 1 Progress Report Perspective

Final Project Training Summary Report including results from Fellow Feedback Questionnaire
Lecture synthesis of TWs 7 to 11
PCDP plans

Report on Personal Career Development Plans

Minutes of Mid-term SB meeting and report about financial, legal and risk managements

Minutes of Midterm SB meeting and report about financial legal and risk managements

Planned recruitments completed

Report about ESR recruitment

End of Year 3 Summary Report & ENHAnCE achievements
Final SB meeting

Final SB meeting report

Open Meeting points and visits to local schools
Final Dissemination and Outreach Report

Demonstrators, pilots, prototypes (3)

Open Access tool for real-time collecting SHM measurement

Computational platform acting as open access tool for real-time collecting structural health monitoring measurement

Computing GW simulation tool and calibration to WP2

Computational platform (Open Access) for computing Lamb-wave simulation and interaction with typical damage cases.

Analytics O&M Platform (HAPMS) and results of O&M simulations

Computational platform to integrate prognostics and operational decision making using on-line data from sensors

Other (2)

Consortium Agreement
Evaluation Guidelines for ERS recruitment

Websites, patent fillings, videos etc. (1)

ENHAnCE Minisimposium, thesis contest and Showcase at JEC Paris

Publications

Peer reviewed articles (21)

Prediction of shape distortions in thermosetting composite parts using neural network interfaced visco-elastic constitutive model

Auteurs: Balaji, A., Sbarufatti, C., Dumas, D., Parmentier, A., Pierard, O., & Cadini, F.
Publié dans: Journal of Composite Materials, 2024, ISSN 0021-9983
Éditeur: SAGE Publications
DOI: 10.1177/00219983241235855

A general approach to assessing SHM reliability considering sensor failures based on information theory

Auteurs: Wen Wu, Sergio Cantero-Chinchilla, Darren Prescott, Rasa Remenyte-Prescott, Manuel Chiachío
Publié dans: Reliability Engineering & System Safety, Numéro Volume 250, 110267, 2024, ISSN 0951-8320
Éditeur: Elsevier BV
DOI: 10.1016/j.ress.2024.110267

A cross‑sectoral review of the current and potential maintenance strategies for composite structures

Auteurs: Javier Contreras Lopez; Juan Chiachío; Ali Saleh; Manuel Chiachío; Athanasios Kolios
Publié dans: SN Applied Sciences, Numéro 4, 2022, Page(s) 180, ISSN 2193-1801
Éditeur: Springer Science and Business Media Deutschland GmbH
DOI: 10.1007/s42452-022-05063-3

Intelligent health indicator construction for prognostics of composite structures utilizing a semi-supervised deep neural network and SHM data

Auteurs: Morteza Moradi; Agnes Broer; Juan Chiachío; Rinze Benedictus; Theodoros H. Loutas; Dimitrios Zarouchas
Publié dans: urn:issn:0952-1976, Numéro Volume 117, Part A, January 2023, 105502, 2023, Page(s) Volume 117, Part A, January 2023, 105502, ISSN 0952-1976
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.engappai.2022.105502

A Novel machine learning model to design historical-independent health indicators for composite structures.

Auteurs: Moradi, M., Gul, F. C., & Zarouchas, D.
Publié dans: Composites Part B: Engineering, Numéro 111328, 2024, ISSN 1359-8368
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.compositesb.2024.111328

Reduction of Petri net maintenance modeling complexity via Approximate Bayesian Computation

Auteurs: Manuel Chiachío, Ali Saleh, Susannah Naybourc, Juan Chiachío, John Andrews
Publié dans: Reliability Engineering & System Safety, Numéro 222, 2022, Page(s) 108365, ISSN 0951-8320
Éditeur: Elsevier BV
DOI: 10.1016/j.ress.2022.108365

Uncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials

Auteurs: Juan Fernández, Manuel Chiachío, Juan Chiachío, Rafael Muñoz, Francisco Herrera
Publié dans: Engineering Applications of Artificial Intelligence, Numéro 107, 2022, Page(s) 104511, ISSN 0952-1976
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.engappai.2021.104511

Intelligent and adaptive asset management model for railway sections using the ipn method.

Auteurs: D. Prescott, R. Remenyte, M. Chiachio, A. Saleh.
Publié dans: Reliability Engineering & System Safety, Numéro Volume 241, 109687, 2024, ISSN 0951-8320
Éditeur: Elsevier BV
DOI: 10.1016/j.ress.2023.109687

Structural digital twin framework: Formulation and technology integration

Auteurs: Manuel Chiachío; María Megía; Juan Chiachío; Juan Fernandez; María L. Jalón
Publié dans: Automation in Construction, Numéro 4, 2022, Page(s) Volume 140, August 2022, 104333, ISSN 0926-5805
Éditeur: Elsevier BV
DOI: 10.1016/j.autcon.2022.104333

Training of physics-informed Bayesian neural networks with ABC-SS for prognostic of Li-ion batteries

Auteurs: Juan Fernández, Matteo Corbetta, Chetan S. Kulkarni, Juan Chiachío, Manuel Chiachío
Publié dans: Computers in industry, Numéro Volume 155, 104058, 2024, ISSN 0166-3615
Éditeur: Elsevier BV
DOI: 10.1016/j.compind.2023.104058

Particle filter-based delamination shape prediction in composites subjected to fatigue loading

Auteurs: Tianzhi Li, Francesco Cadini, Manuel Chiachío, Juan Chiachío, Claudio Sbarufatti
Publié dans: SAGE journals - Structural Health Monitoring, Numéro August 2022, 2022, ISSN 1475-9217
Éditeur: SAGE Publications
DOI: 10.1177/14759217221116041

Particle filter-based damage prognosis by online feature fusion and selection.

Auteurs: Li, T., Chen, J., Yuan, S., Cadini, F., Sbarufatti, C.
Publié dans: Mechanical Systems and Signal Processing, 2023, Page(s) 203, 110713, ISSN 0888-3270
Éditeur: Academic Press
DOI: 10.1016/j.ymssp.2023.110713

Guided waves-based damage identification in plates through an inverse Bayesian process

Auteurs: W.Wu, M.K.Malik, S.Cantero-Chinchilla, T.Lawrie, J.Yan, G.Tanner, R.Remenyte-Prescott, D.Chronopoulos
Publié dans: Ultrasonics, Numéro Volume 125, September 2022, 2022, Page(s) 106773, ISSN 0041-624X
Éditeur: Elsevier BV
DOI: 10.1016/j.ultras.2022.106773

Self-adaptative optimized maintenance of offshore wind turbines by intelligent Petri nets

Auteurs: Ali Saleh, Manuel Chiachío, Juan Fernández, Athanasios Kolios
Publié dans: Reliability Engineering&System Safety, Numéro Volume 231, March 2023, 109013, 2023, Page(s) Volume 231, March 2023, 109013, ISSN 0951-8320
Éditeur: Elsevier BV
DOI: 10.1016/j.ress.2022.109013

Optimal computation of integrals in the Half-Space Matching method for modal simulation of SHM/NDE in 3D elastic plate

Auteurs: A. Allouko, A.-S. Bonnet-Ben Dhia, A. Lh´emery, V. Baronian
Publié dans: The Journal of Physics: Conference Series, 2024, ISSN 2267-828X
Éditeur: Hal Open Science
DOI: 10.1088/1742-6596/2768/1/012004

Particle filter-based prognostics for composite curing process.

Auteurs: Balaji, A., Dumas, D., Pierard, O., Sbarufatti, C., Cadini, F.
Publié dans: Polymer Composites, 2024, ISSN 1548-0569
Éditeur: Elsevier
DOI: 10.1002/pc.28677

Particle filter-based hybrid damage prognosis considering measurement bias

Auteurs: Tianzhi Li,Claudio Sbarufatti,Francesco Cadini,Jian Chen,Shenfang Yuan
Publié dans: Structural Control and Health Monitoring, Numéro e2914 / 15 December 2021 /bimonthly, 2021, ISSN 1545-2263
Éditeur: John Wiley & Sons Ltd
DOI: 10.1002/stc.2914

Physics-guided Bayesian neural networks by ABC-SS: Application to reinforced concrete

Auteurs: Juan Fernández, Juan Chiachío, Manuel Chiachío
Publié dans: Engineering applications of Artificial Intelligence, Numéro Volume 119, March 2023, 105790, 2023, Page(s) Volume 119, March 2023, 105790, ISSN 0952-1976
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.engappai.2022.105790

Numerical simulation-aided particle filter-based damage prognosis using Lamb waves

Auteurs: Tianzhi Li; Luca Lomazzi; Francesco Cadini; Claudio Sbarufatti; Jian Chen; Shenfang Yuan
Publié dans: Mechanical Systems and Signal Processing, Numéro 4, 2022, Page(s) Volume 178, 1 October 2022, 109326, ISSN 0888-3270
Éditeur: Academic Press
DOI: 10.1016/j.ymssp.2022.109326

Risk-based maintenance strategy selection for wind turbine composite blades

Auteurs: Javier Contreras Lopez, Athanasios Kolios
Publié dans: Energy Reports 8 (2002), Numéro 8, 2022, Page(s) 5541-5561, ISSN 2352-4847
Éditeur: ELSEVIER
DOI: 10.1016/j.egyr.2022.04.027

A wind turbine blade leading edge rain erosion computational framework

Auteurs: Javier Contreras López; Athanasios Kolios; Lin Wang; Manuel Chiachio
Publié dans: Renewable Energy, Numéro Volume 203, February 2023, Pages 131-141, 2023, Page(s) Pages 131-141, ISSN 0960-1481
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.renene.2022.12.050

Conference proceedings (10)

Optimized Petri net model for condition-based maintenance of a turbine blade.AUTHORS: A. Saleh, M. Chiachio, J. Chiachio.CONGRESS: World Congress on Engineering Asset Management, Springer, pp. 657–664. (2022). LINK: https://link.springer.com/chapter/10.1007/978-3-031-25448-2_61 Seville, Spain.

Auteurs: A. Saleh, M. Chiachio, J. Chiachio.
Publié dans: World Congress on Engineering Asset Management, Springer, pp. 657–664. (2022)., 2023
Éditeur: SpringerLink
DOI: 10.1007/978-3-031-25448-2_61

An optimized asset management petri net model for railway sections.

Auteurs: D. Prescott, R. Remenyte, M. Chiachio, A. Saleh.
Publié dans: The 9th Asia-Pacific Workshop on SHM, Workshop on SHM, 2023
Éditeur: The 9th Asia-Pacific Workshop on SHM
DOI: 10.21741/9781644902455-37

Interpretable Neural Network with Limited Weights for ConstructingSimple and Explainable HI using SHM Data

Auteurs: Morteza Moradi, Rinze Benedictus, Dimitrios Zarouchas
Publié dans: Proceedings of the Annual Conference of the PHM Society 2022, Numéro Vol. 14 No. 1 (2022), 2022, Page(s) Vol. 14 No. 1 (2022)
Éditeur: PHM Society
DOI: 10.36001/phmconf.2022.v14i1.3185

Probabilistic safety assessment in composite materials using bnn by ABC-SS

Auteurs: Juan Fernández, Juan Chiachío, Manuel Chiachío, Ali Saleh
Publié dans: Proceedings of the Annual Conference of the PHM Society 2022, Numéro Vol. 14 No. 1 (2022), 2022, Page(s) Vol. 14 No. 1 (2022)
Éditeur: PHM Society
DOI: 10.36001/phmconf.2022.v14i1.3275

An assessment of different reinforcement learning methods for creating a decision support system based on the Petri net model

Auteurs: Ali Saleh, Manuel Chiachío
Publié dans: Annual Conference of the PHM Society, 2002, Numéro 14(1), 2022, Page(s) Vol. 14 No. 1 (2022): Proceedings of the Annual Conference of the PHM Society 2022
Éditeur: PHM Society
DOI: 10.36001/phmconf.2022.v14i1.3240

Developing health indicators for composite structures based on a two-stage semi-supervised machine learning model using acoustic emission data.

Auteurs: Moradi, M., Chiachío, J., & Zarouchas, D. CONGRESS: In Proceedings of the 10th ECCOMAS Thematic Conference on Smart Structures and Materials (Vol. 10). (2023, July), Patras, Greece. LINK:https://repository.tudelft.nl/islandora/object/uuid%3Ad3912853-0178-40ba-9735-d3699107c9cf
Publié dans: In Proceedings of the 10th ECCOMAS Thematic Conference on Smart Structures and Materials (Vol. 10). (2023, July), Patras, Greece., Numéro Vol. 10, 2023
Éditeur: ECCOMAS Thematic Conference
DOI: 10.7712/150123.9844.451295

Asset management modelling approach integrating structural health monitoring data for composite components of wind turbine blades

Auteurs: Wen Wu, Ali Saleh, Rasa Remenyte-Prescott
Publié dans: 32nd European Safety and Reliability Conference (ESREL 2022), Numéro 32th, 2022, Page(s) 1385-1392, ISBN 9789811851834
Éditeur: Researchgate
DOI: 10.3850/978-981-18-5183-4_r22-24-242-cd

Acousto-ultrasonic composite transducers integration into thermoplastic composite structures via ultrasonic welding

Auteurs: Galiana, S., Moradi, M., Wierach, P., Zarouchas, D.
Publié dans: 10th ECCOMAS Thematic Conference on Smart Structures and Materials 956-965, (2023), Patras, Greece., 2023
Éditeur: ECCOMAS Thematic Conference
DOI: 10.7712/150123.9847.444412

Intelligent Health Indicators Based on Semi-supervised Learning Utilizing Acoustic Emission Data

Auteurs: Morteza Moradi, Juan Chiachío, Rinze Benedictus, Dimitrios Zarouchas
Publié dans: EWSHM 2022: European Workshop on Structural Health Monitoring, Numéro 1, 2022, Page(s) 419–428
Éditeur: European Workshop on Structural Health Monitoring
DOI: 10.1007/978-3-031-07322-9_43

Novel Procedure of Integrating Transducers to Thermoplastic Composite Structures by Induction Heating for SHM

Auteurs: Sofi, T., Gude, M., Garcia, J., Wierach.
Publié dans: In proceedings of the 10th ECCOMAS Thematic Conference on Smart Structures and Materials, 2023, Page(s) pp. 1291-1302.
Éditeur: ECCOMAS Thematic Conference
DOI: 10.7712/150123.9876.446068