Mostrando 7 resultados de: 7
Publisher
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)
Emerging Design Solutions in Structural Health Monitoring Systems(1)
International Journal of Fatigue(1)
Transport in Porous Media(1)
Área temáticas
Ingeniería y operaciones afines(6)
Física aplicada(1)
Geología, hidrología, meteorología(1)
Ingeniería de ferrocarriles y carreteras(1)
Mecánica de fluidos(1)
Área de conocimiento
Material compuesto(3)
Algoritmo(2)
Optimización matemática(2)
Aprendizaje automático(1)
Ciencia de materiales(1)
Origen
scopus(7)
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:scopusA Bayesian Assessment of an Approximate Model for Unconfined Water Flow in Sloping Layered Porous Media
ArticleAbstract: The pbkp_rediction of water table height in unconfined layered porous media is a difficult modellingPalabras claves:Bayesian hypothesis testing, Dupuit–Forchheimer analysis, Layered porous media, Railway track drainageAutores:Juan Chiachío, Prescott D., Ruano M.C., Sankararaman S.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 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:scopusCondition-based pbkp_rediction of time-dependent reliability in composites
ArticleAbstract: This paper presents a reliability-based pbkp_rediction methodology to obtain the remaining useful liPalabras claves:COMPOSITES, fatigue, Model-based prognostics, Time-dependent reliabilityAutores:Goebel K., Juan Chiachío, Ruano M.C., Sankararaman S., Saxena A.Fuentes:scopusPrognostics design for structural health management
Book PartAbstract: The chapter describes the application of prognostic techniques to the domain of structural health anPalabras claves:Autores:Goebel K., Juan Chiachío, Ruano M.C., Sankararaman S., Saxena A.Fuentes:scopusPbkp_redicting remaining useful life in CRFP laminates under fatigue loads: A new efficient algorithm
Conference ObjectAbstract: This work presents an efficient computational framework for estimating the end of life and remainingPalabras claves:Autores:Goebel K., Juan Chiachío, Ruano M.C., Sankararaman S., Saxena A.Fuentes:scopus