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Mechanical Systems and Signal Processing(3)
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Proceedings of the 29th European Safety and Reliability Conference Esrel 2019(1)
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scopus(10)
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:scopusApproximate bayesian computation by subset simulation
ArticleAbstract: A new approximate Bayesian computation (ABC) algorithm for Bayesian updating of model parameters isPalabras claves:Approximate Bayesian Computation, Bayesian inverse problem, Subset simulationAutores:Beck J.L., Juan Chiachío, Ruano M.C., Rus G.Fuentes:scopusA Bayesian approach for damage assessment in welded structures using Lamb-wave surrogate models and minimal sensing
ArticleAbstract: The increasing mechanical and economical demands in modern systems and structures are forcing an inePalabras claves:Artificial neural network, Bayesian inverse problem, Dissimilar joints, Lamb waves, Structural Health Monitoring, Surrogate modellingAutores:Fakih M.A., Juan Chiachío, Mustapha S., Ruano M.C.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: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:scopusA Bayesian framework for mechanical characterization of unstabilized rammed earth reinforced with polypropylene fibers
ArticleAbstract: Unstabilized rammed earth reinforced with fibers is being explored as an alternative to chemical staPalabras claves:Bayesian inverse problem, flexural strength, Micro polypropylene fibers reinforcement, Probabilistic model calibration, Ultrasonic pulse velocity, uncertainty quantification, Uniaxial compressive strength, Unstabilized rammed earthAutores:Álvaro Blanca-Hoyos, Esther Puertas, Jalón M.L., Juan Chiachío, Majdi Al ShdifatFuentes:scopusOptimal sensor configuration for ultrasonic guided-wave inspection based on value of information
ArticleAbstract: Condition-based maintenance critically relies on efficient and reliable structural health monitoringPalabras claves:Bayesian inverse problem, optimal sensor configuration, SHM, Time of flight, Ultrasound, Value of informationAutores: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:scopusPredicting fatigue damage in composites: A Bayesian framework
ArticleAbstract: Modeling the progression of damage in composites materials is a challenge mainly due to the uncertaiPalabras claves:Bayesian inverse problem, fatigue, FRP composites, Markov chains, model class selectionAutores:Beck J.L., Juan Chiachío, Ruano M.C., Rus G.Fuentes:scopus