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Approximate 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:scopusOptiSens—Convex optimization of sensor and actuator placement for ultrasonic guided-wave based structural health monitoring
ArticleAbstract: This paper presents OptiSens, a computational platform in Python and Matlab, that provides optimal sPalabras claves:Cost–benefit optimization, Optimal sensor placement, Structural Health Monitoring, Ultrasonic guided-wavesAutores:Beck J.L., Cantero-Chinchilla S., Chronopoulos D., Juan Chiachío, Ruano M.C.Fuentes:scopusOptimal sensor and actuator placement for structural health monitoring via an efficient convex cost-benefit optimization
ArticleAbstract: The number and position of sensors and actuators are key decision variables that dictate the performPalabras claves:entropy, Guided waves, Optimal actuator configuration, optimal sensor configuration, Structural Health Monitoring, Time of flightAutores:Beck J.L., Cantero-Chinchilla S., Chronopoulos D., Jones A., Juan Chiachío, Ruano M.C.Fuentes:scopusPbkp_redicting 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