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Bayesian data-driven framework for structural health monitoring of composite structures under limited experimental data

Author(s): ORCID (UFMG – Universidade Federal de Minas Gerais, Faculdade de Engenharia, Departamento de Engenharia de Estruturas, Belo Horizonte – MG, Brazil)
(Supmicrotech-ENSMM, CNRS, FEMTO-ST, Département Mécanique Appliquée, UBFC - Université de Bourgogne Franche-Comté, Besançon, France)
ORCID (UNESP – Universidade Estadual Paulista, Faculdade de Engenharia de Ilha Solteira, Departamento de Engenharia Mecânica, Ilha Solteira, Brazil)
ORCID (Faculty of Engineering, Lusófona University, Lisboa, Portugal)
(IDMEC, Instituto Superior Técnico, University of Lisbon, Lisboa, Portugal)
(UFMG – Universidade Federal de Minas Gerais, Faculdade de Engenharia, Departamento de Engenharia de Estruturas, Belo Horizonte – MG, Brazil)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring
DOI: 10.1177/14759217241236801
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1177/14759217241236801.
  • About this
    data sheet
  • Reference-ID
    10775656
  • Published on:
    29/04/2024
  • Last updated on:
    29/04/2024
 
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