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Francesco Cadini ORCID

La bibliographie suivante contient toutes les publications répertoriées dans la base de données qui sont reliées à ce nom en tant qu'auteur, éditeur ou collaborateur.

  1. Li, Tianzhi / Chen, Jian / Yuan, Shenfang / Zarouchas, Dimitrios / Sbarufatti, Claudio / Cadini, Francesco: Particle filter-based fatigue damage prognosis by fusing multiple degradation models. Dans: Structural Health Monitoring.

    https://doi.org/10.1177/14759217231216697

  2. Lomazzi, Luca / Morin, David / Cadini, Francesco / Manes, Andrea / Aune, Vegard: Deep learning-based analysis to identify fluid-structure interaction effects during the response of blast-loaded plates. Dans: International Journal of Protective Structures.

    https://doi.org/10.1177/20414196231198259

  3. Gonzalez-Jimenez, Alvaro / Lomazzi, Luca / Junges, Rafael / Giglio, Marco / Manes, Andrea / Cadini, Francesco (2023): Enhancing Lamb wave-based damage diagnosis in composite materials using a pseudo-damage boosted convolutional neural network approach. Dans: Structural Health Monitoring, v. 23, n. 3 (septembre 2023).

    https://doi.org/10.1177/14759217231189972

  4. Parziale, Marc / Lomazzi, Luca / Giglio, Marco / Cadini, Francesco (2022): Vibration‐based structural health monitoring exploiting a combination of convolutional neural networks and autoencoders for temperature effects neutralization. Dans: Structural Control and Health Monitoring, v. 29, n. 11 (septembre 2022).

    https://doi.org/10.1002/stc.3076

  5. Li, Tianzhi / Cadini, Francesco / Chiachío, Manuel / Chiachío, Juan / Sbarufatti, Claudio (2022): Particle filter-based delamination shape prediction in composites subjected to fatigue loading. Dans: Structural Health Monitoring, v. 22, n. 3 (septembre 2022).

    https://doi.org/10.1177/14759217221116041

  6. Li, Tianzhi / Sbarufatti, Claudio / Cadini, Francesco / Chen, Jian / Yuan, Shenfang (2022): Particle filter‐based hybrid damage prognosis considering measurement bias. Dans: Structural Control and Health Monitoring, v. 29, n. 4 (14 mars 2022).

    https://doi.org/10.1002/stc.2914

  7. Gonzalez-Jimenez, Alvaro / Lomazzi, Luca / Cadini, Francesco / Beligni, Alessio / Sbarufatti, Claudio / Giglio, Marco / Manes, Andrea (2021): On the mitigation of the RAPID algorithm uneven sensing network issue employing averaging and Gaussian blur filtering techniques. Dans: Composite Structures, v. 278 (décembre 2021).

    https://doi.org/10.1016/j.compstruct.2021.114716

  8. Cristiani, Demetrio / Sbarufatti, Claudio / Cadini, Francesco / Giglio, Marco (2020): Fatigue damage diagnosis and prognosis of an aeronautical structure based on surrogate modelling and particle filter. Dans: Structural Health Monitoring, v. 20, n. 5 (décembre 2020).

    https://doi.org/10.1177/1475921720971551

  9. Pedroni, Nicola / Zio, Enrico / Cadini, Francesco (2017): Advanced Monte Carlo Methods and Applications. Dans: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 3, n. 4 (décembre 2017).

    https://doi.org/10.1061/ajrua6.0000921

  10. Cadini, Francesco / Lombardo, Simone Salvatore / Giglio, Marco (2020): Global reliability sensitivity analysis by Sobol-based dynamic adaptive kriging importance sampling. Dans: Structural Safety, v. 87 (novembre 2020).

    https://doi.org/10.1016/j.strusafe.2020.101998

  11. Cadini, Francesco / Sbarufatti, Claudio / Corbetta, Matteo / Cancelliere, Francesco / Giglio, Marco (2019): Particle filtering‐based adaptive training of neural networks for real‐time structural damage diagnosis and prognosis. Dans: Structural Control and Health Monitoring, v. 26, n. 12 (12 novembre 2019).

    https://doi.org/10.1002/stc.2451

  12. Cadini, Francesco / Sbarufatti, Claudio / Corbetta, Matteo / Giglio, Marco (2017): A particle filter-based model selection algorithm for fatigue damage identification on aeronautical structures. Dans: Structural Control and Health Monitoring, v. 24, n. 11 (novembre 2017).

    https://doi.org/10.1002/stc.2002

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