Mostrando 10 resultados de: 36
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Reliability Engineering and System Safety(4)
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Proceedings of the American Society for Composites - 29th Technical Conference, ASC 2014; 16th US-Japan Conference on Composite Materials; ASTM-D30 Meeting(2)
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scopus(36)
A 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 Bayesian time-of-flight estimation for ultrasonic damage detection
Conference ObjectAbstract: SHM methods for damage detection and localisation in plate-like structures have typically relied onPalabras claves:Autores:Cantero-Chinchilla S., de la Escalera F.M., Essa Y., Jones A., Juan Chiachío, Ruano M.C.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 cross-sectoral review of the current and potential maintenance strategies for composite structures
ReviewAbstract: The interest in the use of composite materials in thin-walled structures has grown over the last decPalabras claves:Composite structures, Cyber-physical structures (CPS), Maintenance, Polymer–matrix composites (PMCs), Structural health monitoring (SHM)Autores:Contreras Lopez J., Juan Chiachío, Kolios A., Ruano M.C., Saleh A.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 new algorithm for prognostics using Subset Simulation
ArticleAbstract: This work presents an efficient computational framework for prognostics by combining the particle fiPalabras claves:Prognostics, Rare events, Stochastic modeling, Subset simulationAutores:Andrews J., Goebel K., Juan Chiachío, Ruano M.C., Sankararaman S.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: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:scopusBayesian 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:scopusBayesian 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:scopus