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

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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

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

Consortium Agreement
Evaluation Guidelines for ERS recruitment

ENHAnCE Minisimposium, thesis contest and Showcase at JEC Paris

Pubblicazioni

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

Autori: Balaji, A., Sbarufatti, C., Dumas, D., Parmentier, A., Pierard, O., & Cadini, F.
Pubblicato in: Journal of Composite Materials, 2024, ISSN 0021-9983
Editore: SAGE Publications
DOI: 10.1177/00219983241235855

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

Autori: Wen Wu, Sergio Cantero-Chinchilla, Darren Prescott, Rasa Remenyte-Prescott, Manuel Chiachío
Pubblicato in: Reliability Engineering & System Safety, Numero Volume 250, 110267, 2024, ISSN 0951-8320
Editore: Elsevier BV
DOI: 10.1016/j.ress.2024.110267

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

Autori: Javier Contreras Lopez; Juan Chiachío; Ali Saleh; Manuel Chiachío; Athanasios Kolios
Pubblicato in: SN Applied Sciences, Numero 4, 2022, Pagina/e 180, ISSN 2193-1801
Editore: 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

Autori: Morteza Moradi; Agnes Broer; Juan Chiachío; Rinze Benedictus; Theodoros H. Loutas; Dimitrios Zarouchas
Pubblicato in: urn:issn:0952-1976, Numero Volume 117, Part A, January 2023, 105502, 2023, Pagina/e Volume 117, Part A, January 2023, 105502, ISSN 0952-1976
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.engappai.2022.105502

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

Autori: Moradi, M., Gul, F. C., & Zarouchas, D.
Pubblicato in: Composites Part B: Engineering, Numero 111328, 2024, ISSN 1359-8368
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.compositesb.2024.111328

Reduction of Petri net maintenance modeling complexity via Approximate Bayesian Computation

Autori: Manuel Chiachío, Ali Saleh, Susannah Naybourc, Juan Chiachío, John Andrews
Pubblicato in: Reliability Engineering & System Safety, Numero 222, 2022, Pagina/e 108365, ISSN 0951-8320
Editore: Elsevier BV
DOI: 10.1016/j.ress.2022.108365

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

Autori: Juan Fernández, Manuel Chiachío, Juan Chiachío, Rafael Muñoz, Francisco Herrera
Pubblicato in: Engineering Applications of Artificial Intelligence, Numero 107, 2022, Pagina/e 104511, ISSN 0952-1976
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.engappai.2021.104511

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

Autori: D. Prescott, R. Remenyte, M. Chiachio, A. Saleh.
Pubblicato in: Reliability Engineering & System Safety, Numero Volume 241, 109687, 2024, ISSN 0951-8320
Editore: Elsevier BV
DOI: 10.1016/j.ress.2023.109687

Structural digital twin framework: Formulation and technology integration

Autori: Manuel Chiachío; María Megía; Juan Chiachío; Juan Fernandez; María L. Jalón
Pubblicato in: Automation in Construction, Numero 4, 2022, Pagina/e Volume 140, August 2022, 104333, ISSN 0926-5805
Editore: 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

Autori: Juan Fernández, Matteo Corbetta, Chetan S. Kulkarni, Juan Chiachío, Manuel Chiachío
Pubblicato in: Computers in industry, Numero Volume 155, 104058, 2024, ISSN 0166-3615
Editore: Elsevier BV
DOI: 10.1016/j.compind.2023.104058

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

Autori: Tianzhi Li, Francesco Cadini, Manuel Chiachío, Juan Chiachío, Claudio Sbarufatti
Pubblicato in: SAGE journals - Structural Health Monitoring, Numero August 2022, 2022, ISSN 1475-9217
Editore: SAGE Publications
DOI: 10.1177/14759217221116041

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

Autori: Li, T., Chen, J., Yuan, S., Cadini, F., Sbarufatti, C.
Pubblicato in: Mechanical Systems and Signal Processing, 2023, Pagina/e 203, 110713, ISSN 0888-3270
Editore: Academic Press
DOI: 10.1016/j.ymssp.2023.110713

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

Autori: W.Wu, M.K.Malik, S.Cantero-Chinchilla, T.Lawrie, J.Yan, G.Tanner, R.Remenyte-Prescott, D.Chronopoulos
Pubblicato in: Ultrasonics, Numero Volume 125, September 2022, 2022, Pagina/e 106773, ISSN 0041-624X
Editore: Elsevier BV
DOI: 10.1016/j.ultras.2022.106773

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

Autori: Ali Saleh, Manuel Chiachío, Juan Fernández, Athanasios Kolios
Pubblicato in: Reliability Engineering&System Safety, Numero Volume 231, March 2023, 109013, 2023, Pagina/e Volume 231, March 2023, 109013, ISSN 0951-8320
Editore: 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

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

Particle filter-based prognostics for composite curing process.

Autori: Balaji, A., Dumas, D., Pierard, O., Sbarufatti, C., Cadini, F.
Pubblicato in: Polymer Composites, 2024, ISSN 1548-0569
Editore: Elsevier
DOI: 10.1002/pc.28677

Particle filter-based hybrid damage prognosis considering measurement bias

Autori: Tianzhi Li,Claudio Sbarufatti,Francesco Cadini,Jian Chen,Shenfang Yuan
Pubblicato in: Structural Control and Health Monitoring, Numero e2914 / 15 December 2021 /bimonthly, 2021, ISSN 1545-2263
Editore: John Wiley & Sons Ltd
DOI: 10.1002/stc.2914

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

Autori: Juan Fernández, Juan Chiachío, Manuel Chiachío
Pubblicato in: Engineering applications of Artificial Intelligence, Numero Volume 119, March 2023, 105790, 2023, Pagina/e Volume 119, March 2023, 105790, ISSN 0952-1976
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.engappai.2022.105790

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

Autori: Tianzhi Li; Luca Lomazzi; Francesco Cadini; Claudio Sbarufatti; Jian Chen; Shenfang Yuan
Pubblicato in: Mechanical Systems and Signal Processing, Numero 4, 2022, Pagina/e Volume 178, 1 October 2022, 109326, ISSN 0888-3270
Editore: Academic Press
DOI: 10.1016/j.ymssp.2022.109326

Risk-based maintenance strategy selection for wind turbine composite blades

Autori: Javier Contreras Lopez, Athanasios Kolios
Pubblicato in: Energy Reports 8 (2002), Numero 8, 2022, Pagina/e 5541-5561, ISSN 2352-4847
Editore: ELSEVIER
DOI: 10.1016/j.egyr.2022.04.027

A wind turbine blade leading edge rain erosion computational framework

Autori: Javier Contreras López; Athanasios Kolios; Lin Wang; Manuel Chiachio
Pubblicato in: Renewable Energy, Numero Volume 203, February 2023, Pages 131-141, 2023, Pagina/e Pages 131-141, ISSN 0960-1481
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.renene.2022.12.050

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.

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

An optimized asset management petri net model for railway sections.

Autori: D. Prescott, R. Remenyte, M. Chiachio, A. Saleh.
Pubblicato in: The 9th Asia-Pacific Workshop on SHM, Workshop on SHM, 2023
Editore: 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

Autori: Morteza Moradi, Rinze Benedictus, Dimitrios Zarouchas
Pubblicato in: Proceedings of the Annual Conference of the PHM Society 2022, Numero Vol. 14 No. 1 (2022), 2022, Pagina/e Vol. 14 No. 1 (2022)
Editore: PHM Society
DOI: 10.36001/phmconf.2022.v14i1.3185

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

Autori: Juan Fernández, Juan Chiachío, Manuel Chiachío, Ali Saleh
Pubblicato in: Proceedings of the Annual Conference of the PHM Society 2022, Numero Vol. 14 No. 1 (2022), 2022, Pagina/e Vol. 14 No. 1 (2022)
Editore: 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

Autori: Ali Saleh, Manuel Chiachío
Pubblicato in: Annual Conference of the PHM Society, 2002, Numero 14(1), 2022, Pagina/e Vol. 14 No. 1 (2022): Proceedings of the Annual Conference of the PHM Society 2022
Editore: 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.

Autori: 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
Pubblicato in: In Proceedings of the 10th ECCOMAS Thematic Conference on Smart Structures and Materials (Vol. 10). (2023, July), Patras, Greece., Numero Vol. 10, 2023
Editore: 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

Autori: Wen Wu, Ali Saleh, Rasa Remenyte-Prescott
Pubblicato in: 32nd European Safety and Reliability Conference (ESREL 2022), Numero 32th, 2022, Pagina/e 1385-1392, ISBN 9789811851834
Editore: 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

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

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

Autori: Morteza Moradi, Juan Chiachío, Rinze Benedictus, Dimitrios Zarouchas
Pubblicato in: EWSHM 2022: European Workshop on Structural Health Monitoring, Numero 1, 2022, Pagina/e 419–428
Editore: 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

Autori: Sofi, T., Gude, M., Garcia, J., Wierach.
Pubblicato in: In proceedings of the 10th ECCOMAS Thematic Conference on Smart Structures and Materials, 2023, Pagina/e pp. 1291-1302.
Editore: ECCOMAS Thematic Conference
DOI: 10.7712/150123.9876.446068

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