Mostrando 5 resultados de: 5
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Mechanical Systems and Signal Processing(2)
COMPDYN Proceedings(1)
Composite Structures(1)
Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019(1)
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scopus(5)
Bayesian damage localization and identification based on a transient wave propagation model for composite beam structures
ArticleAbstract: This paper proposes the use of a physics-based Bayesian framework for the localization and identificPalabras claves:Bayesian inverse problem, Composite beams, Guided waves, Structural Health Monitoring, Ultrasound, Wave and finite element methodAutores:Cantero-Chinchilla S., Chronopoulos D., Juan Chiachío, Malik M.K.Fuentes:scopusA multilevel Bayesian method for ultrasound-based damage identification in composite laminates
ArticleAbstract: Estimating deterministic single-valued damage parameters when evaluating the actual health state ofPalabras claves:Bayesian inverse problem, Composite laminates, DIAGNOSTICS, UltrasoundAutores:Bochud N., Cantero-Chinchilla S., Juan Chiachío, Ruano M.C., Rus G.Fuentes:scopusA robust Bayesian methodology for damage localization in plate-like structures using ultrasonic guided-waves
ArticleAbstract: SHM methods for damage detection and localization in plate-like structures have typically relied onPalabras claves:Bayesian inverse problem, Damage localization, Multiple damage areas, Structural Health Monitoring, Time of flight, Ultrasonic guided-wavesAutores:Cantero-Chinchilla S., Chronopoulos D., Jones A., Juan Chiachío, Ruano M.C.Fuentes:scopusOptimal ultrasonic sensor configuration based on value of information
Conference ObjectAbstract: Optimal sensor configuration has been proven to be essential in the design of structural health moniPalabras claves:Bayesian inverse problem, Guided-waves, optimal sensor configuration, SHM, Ultrasound, Value of informationAutores:Cantero-Chinchilla S., Juan Chiachío, Ruano M.C.Fuentes:scopusUncertainty quantification in ultrasonic guided-waves based damage localization
Conference ObjectAbstract: Bayesian methods for inverse problems offer higher robustness to noise and uncertainty than determinPalabras claves:Bayesian inverse problem, Damage localization, Guided waves, Hyper-robust model, SHM, Ultrasound, uncertainty quantificationAutores:Cantero-Chinchilla S., Chronopoulos D., de la Escalera F.M., Essa Y., Jones A., Juan Chiachío, Ruano M.C.Fuentes:scopus