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Vibration testing based on evolutionary optimization to identify structural damages

  • Autores: Juan Peña Lasso, Ramón Sancibrián Herrera, Ignacio Lombillo Vozmediano, Jesús Setién Marquínez, Juan Antonio Polanco Madrazo, Óscar Ramón Ramos Gutiérrez
  • Localización: CMMoST 2019: 5th International Conference on Mechanical Models in Structural Engineering / coord. por F. Javier Baeza de los Santos, Yordhana Gómez Sánchez, 2019, ISBN 978-84-17924-58-4, págs. 679-693
  • Idioma: inglés
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  • Resumen
    • Structural health monitoring uses different techniques to predict and diagnose the threat of failure in structures. Vibration-based approaches have demonstrated to be a useful tool in monitoring structures, being attractive for engineers working in this field. They use the intrinsic correlation between vibration response and damage symptoms. Thus, the information provided by vibration sensors defines the health status of the structure and identify the potential cause of failure. Model tuning or updating based methods on optimization use an ideal theoretical model of the structure as reference and try to minimize the difference with respect to the real system. This difference provides not only a measure of the intensity of the damage but also the cause. This work presents a study based on Evolutionary Algorithm (EA) to obtain the minimization of the error between the theoretical system and the real one. Different type of residuals are compared in the determination of two types of failure modes.


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