Mostrando 10 resultados de: 13
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Reliability Engineering and System Safety(2)
16th European Conference on Composite Materials, ECCM 2014(1)
30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM 2020(1)
Computer-Aided Civil and Infrastructure Engineering(1)
International Journal of Fatigue(1)
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Ingeniería y operaciones afines(7)
Física aplicada(3)
Métodos informáticos especiales(3)
Ciencias de la computación(2)
Análisis numérico(1)
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Material compuesto(4)
Inferencia bayesiana(3)
Ciencias de la computación(1)
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Matemáticas aplicadas(1)
Origen
scopus(13)
Bayesian model selection and parameter estimation for fatigue damage progression models in composites
ArticleAbstract: A Bayesian approach is presented for selecting the most probable model class among a set of damage mPalabras claves:Bayesian methods, COMPOSITES, Damage mechanics, fatigueAutores:Goebel K., Juan Chiachío, Ruano M.C., Rus G., Sankararaman S., Saxena A.Fuentes:scopusAn efficient algorithm to pbkp_redict the expected end-of-life in composites under fatigue conditions
Conference ObjectAbstract: This work presents an efficient computational framework for estimating the end of life (EOL) and remPalabras claves:fatigue damage, Model-based prognostics, Particle filters, Structural health managementAutores:Goebel K., Juan Chiachío, Ruano M.C., Rus G., Saxena A.Fuentes:scopusA Markov chains prognostics framework for complex degradation processes
ArticleAbstract: This paper presents a prognostics methodology to deal with complex degradation processes for which cPalabras claves:Damage prognostics, Markov chains, Remaining useful life, Sequential pbkp_rediction, Time-dependent reliabilityAutores:Jalón M.L., Juan Chiachío, Kolios A., Ruano M.C.Fuentes:scopusA robust modeling approach for fatigue damage in composites based on bayesian model class selection
Conference ObjectAbstract: A Bayesian model selection approach is presented for selecting the most robust model class among a sPalabras claves:Autores:Goebel K., Juan Chiachío, Ruano M.C., Sankararaman S., Saxena A.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:scopusAdaptive approximate Bayesian computation by subset simulation for structural model calibration
ArticleAbstract: This paper provides a new approximate Bayesian computation (ABC) algorithm with reduced hyper-paramePalabras claves:Autores:Frank Cabanilla, José Barros, Juan Chiachío, Ruano M.C.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:scopusOptimized Petri Net Model for Condition-Based Maintenance of a Turbine Blade
Conference ObjectAbstract: Monitoring a structure’s health is important to avoid catastrophic failures and reduce operating cosPalabras claves:Autores:Juan Chiachío, Ruano M.C., Saleh A.Fuentes:scopusLogical inference for inverse problems
ArticleAbstract: Estimating a deterministic single value for model parameters when reconstructing the system responsePalabras claves:Bayesian updating, INFERENCE, Inverse Problem, model class selection, probability logic, stochastic inverse problemAutores:Juan Chiachío, Ruano M.C., Rus G.Fuentes:scopus