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However, the run of experimental damage tests on materials like carbon fiber-reinforced plastics can be impractical and costly. Instead, numerical models can be used to create hybrid datasets to train machine learning algorithms, integrating data from numerical and experimental tests. This paper presents a Bayesian-driven framework to compensate for limited experimental data regarding Lamb wave propagation in composite plates. Using Bayesian inference, the framework updates a numerical finite element model, considering observed uncertainties by sampling posterior probability density functions for input parameters using Markov\u2013Chain Monte Carlo simulations with the Metropolis-Hastings algorithm. A neural network surrogate model speeds-up these simulations, leading to a model that replicates the uncertain experimental setup. This model then generates data to augment true experimental data. Finally, a one-dimensional convolutional neural network is trained on a three different datasets to analyze Lamb wave signals and assess damage. Comparing training strategies shows the hybrid dataset augmented by samples generated by the updated FE model gives the most accurate damage size predictions.<\/jats:p>","DOI":"10.1177\/14759217241236801","type":"journal-article","created":{"date-parts":[[2024,4,24]],"date-time":"2024-04-24T07:01:24Z","timestamp":1713942084000},"page":"738-760","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Bayesian data-driven framework for structural health monitoring of composite structures under limited experimental data"],"prefix":"10.1177","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4963-8801","authenticated-orcid":false,"given":"Leonardo de Paula S.","family":"Ferreira","sequence":"first","affiliation":[{"name":"UFMG \u2013 Universidade Federal de Minas Gerais, Faculdade de Engenharia, Departamento de Engenharia de Estruturas, Belo Horizonte \u2013 MG, Brazil"}]},{"given":"Rafael de O.","family":"Teloli","sequence":"additional","affiliation":[{"name":"Supmicrotech-ENSMM, CNRS, FEMTO-ST, D\u00e9partement M\u00e9canique Appliqu\u00e9e, UBFC - Universit\u00e9 de Bourgogne Franche-Comt\u00e9, Besan\u00e7on, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6430-3746","authenticated-orcid":false,"given":"Samuel","family":"da Silva","sequence":"additional","affiliation":[{"name":"UNESP \u2013 Universidade Estadual Paulista, Faculdade de Engenharia de Ilha Solteira, Departamento de Engenharia Mec\u00e2nica, Ilha Solteira, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9168-6903","authenticated-orcid":false,"given":"Eloi","family":"Figueiredo","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, Lus\u00f3fona University, Lisboa, Portugal"},{"name":"CERIS, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Lisboa, Portugal"}]},{"given":"Nuno","family":"Maia","sequence":"additional","affiliation":[{"name":"IDMEC, Instituto Superior T\u00e9cnico, University of Lisbon, Lisboa, Portugal"}]},{"suffix":"Jr","given":"Carlos A.","family":"Cimini","sequence":"additional","affiliation":[{"name":"UFMG \u2013 Universidade Federal de Minas Gerais, Faculdade de Engenharia, Departamento de Engenharia de Estruturas, Belo Horizonte \u2013 MG, Brazil"}]}],"member":"179","published-online":{"date-parts":[[2024,4,24]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1098\/rsta.2000.0717"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2019.106495"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2015.01.017"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1177\/1475921710388971"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.matdes.2022.111348"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ultras.2017.11.017"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ultras.2014.01.017"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compstruct.2022.115736"},{"key":"e_1_3_2_10_2","volume-title":"Health monitoring of aerospace structures: smart sensor technologies and signal processing","author":"Boller C","year":"2004","unstructured":"Boller C, Tomlinson GR, Staszewski WJ (eds.) 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