Mostrando 10 resultados de: 30
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Mechanical Systems and Signal Processing(3)
Emerging Design Solutions in Structural Health Monitoring Systems(2)
Proceedings of the American Society for Composites - 29th Technical Conference, ASC 2014; 16th US-Japan Conference on Composite Materials; ASTM-D30 Meeting(2)
Reliability Engineering and System Safety(2)
16th European Conference on Composite Materials, ECCM 2014(1)
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scopus(30)
A Bayesian Assessment of an Approximate Model for Unconfined Water Flow in Sloping Layered Porous Media
ArticleAbstract: The prediction of water table height in unconfined layered porous media is a difficult modelling proPalabras claves:Bayesian hypothesis testing, Dupuit–Forchheimer analysis, Layered porous media, Railway track drainageAutores:Juan Chiachío, Prescott D., Ruano M.C., Sankararaman S.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 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 knowledge-based prognostics framework for railway track geometry degradation
ArticleAbstract: This paper proposes a paradigm shift to the problem of infrastructure asset management modelling byPalabras claves:Particle filtering, Physics-based modelling, Prognostics, Railway track degradationAutores:Andrews J., Juan Chiachío, Prescott D., 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: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:scopusAn efficient algorithm to predict 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:scopus